item: #1 of 1513 id: ojphi-10012 author: Kathy title: ojphi-10012 date: 2019-09-17 words: 3041 flesch: 41 summary: Keywords: maternal mortality, maternal mortality ratio, pregnancy outcomes, induced abortion, natural fetal loss, ICD-10 coding Improving the Metrics and Data Reporting for Maternal Mortality: A Challenge to Public Health Surveillance and Effective Prevention Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 11(2):e17, 2019 OJPHI Background Maternal mortality is the death of a woman during her pregnancy or within some fixed time from the termination of her pregnancy. Deaths associated with pregnancy outcome: a record linkage study of low income women. keywords: deaths; health; mortality; pregnancies; pregnancy; public; reporting cache: ojphi-10012.pdf plain text: ojphi-10012.txt item: #2 of 1513 id: ojphi-10048 author: Rossetti, Sarah C. title: Development of a Process and Infrastructure to Outreach Stakeholders and Capture Healthcare System Stress in Emergency Response Situations date: 2019-09-18 words: 5092 flesch: 42 summary: To determine the emergency preparedness of the healthcare system, the pulse system tested responses to identified stressors by answering data collection queries. As an expedient, scalable, sustainable, and repeatable approach to collect real-time data during a public health emergency, our team has created a network of clinician responders from across the country committed to responding to rapid data collection queries. keywords: data; emergency; health; pulse; queries; query; responders; response; stress; system cache: ojphi-10048.pdf plain text: ojphi-10048.txt item: #3 of 1513 id: ojphi-10087 author: Hicks, Peter (CDC/OPHSS/CSELS/DHIS) title: ojphi-10087 date: 2019-05-31 words: 691 flesch: 20 summary: The concept of data science needs to be leveraged across public health to better communicate the findings of disease surveillance through the “storytelling of illness and disease” to influence public health policy, and ultimately improve population health. Data science has great potential to provide a new lens to inform and improve public health surveillance and population health. keywords: health; public; surveillance cache: ojphi-10087.pdf plain text: ojphi-10087.txt item: #4 of 1513 id: ojphi-10113 author: Bote, Sunghee title: ojphi-10113 date: 2019-09-17 words: 9634 flesch: 52 summary: The 1990s mark the first wave with increase in opioid prescriptions with notable increase in opioid overdose deaths around 1999 According to Kolodny [54], dentistry accounted for 28.9% of opioid prescriptions. keywords: apr; atlanta; cdc; data; drug; epidemic; health; impact; internet; monitoring; opioid; overdose; pdmps; prescribing; prescription; prescription drug; programs; review; state; treatment; u.s; use cache: ojphi-10113.pdf plain text: ojphi-10113.txt item: #5 of 1513 id: ojphi-10114 author: None title: ojphi-10114 date: 2019-09-16 words: 9153 flesch: 52 summary: The list of 37 vaccine websites (Appendix 1) in VINCENT was created based on a list produced for a study on co-link analysis of vaccine websites which included a total of 62 websites [13]. VINCENT was developed to help users make sense of the data from vaccine websites and, ultimately, the online vaccine debate. keywords: analysis; analytics; analytics system; data; debate; emotion; health; informatics; issn; journal; map; ojphi; online; public; system; users; vaccine; vincent; webometrics; websites; words cache: ojphi-10114.pdf plain text: ojphi-10114.txt item: #6 of 1513 id: ojphi-10131 author: Steve Swanik title: ojphi-10131 date: 2019-09-17 words: 7099 flesch: 50 summary: The opportunity for the future is the upcoming potential to capture and use the population level data and metadata generated from hospital based dental EMR systems and other to be developed systems to elucidate further understanding. As dental EMR software systems were initially designed, the concept of implementing them into hospital-based environments was not the first priority, and conversely when hospital EMRs were developed, the dental/oral health components were not the first priority. keywords: care; challenges; data; dental; department; emr; health; hospital; implementation; journal; medical; network; public; system cache: ojphi-10131.pdf plain text: ojphi-10131.txt item: #7 of 1513 id: ojphi-10141 author: HP title: ojphi-10141 date: 2019-09-17 words: 6020 flesch: 49 summary: Users of Internet health information: differences by health status Richmond D. Nangsangna1, 2, Frances da-Costa Vroom3* 1School of Public Health, College of Health Sciences, University of Ghana 2District Health Directorate, Kwahu Afram Plains South, Ghana Health Service, Eastern Region, Ghana 3Biostatistics Department, School of Public Health, College of Health Sciences, University of Ghana Abstract Over the years, health care delivery and ways of accessing health information have transformed rapidly through the use of technology. keywords: access; behaviour; factors; ghana; health; health information; information; internet; online; patients; study; use cache: ojphi-10141.pdf plain text: ojphi-10141.txt item: #8 of 1513 id: ojphi-10149 author: Swatscheno, Janet Marie title: ojphi-10149 date: 2019-09-18 words: 6226 flesch: 48 summary: Since, in the modern times, health information technology is expanding, eHealth literacy is regarded as a very important part of health literacy. [14,16]and includes computer literacy, information literacy, media literacy, health literacy, traditional literacy and scientific literacy [17]. keywords: caregivers; ehealth literacy; family; family caregivers; health; health information; information; internet; level; literacy; online; pubmed; skills; study cache: ojphi-10149.pdf plain text: ojphi-10149.txt item: #9 of 1513 id: ojphi-10151 author: Swatscheno, Janet Marie title: ojphi-10151 date: 2019-09-17 words: 4195 flesch: 57 summary: In addition to data mining, there is a newer analysis method called process mining. Process mining is similar to data mining in that large data files are reviewed and analyzed, but in this case, event logs specific to a particular process or series of processes, are analyzed. keywords: data; event; log; mining; patients; process; sepsis; steps cache: ojphi-10151.pdf plain text: ojphi-10151.txt item: #10 of 1513 id: ojphi-10155 author: Patrick Lai title: ojphi-10155 date: 2019-09-16 words: 12370 flesch: 50 summary: Furthermore, a different approach to visualization was applied to identify and examine disease rate inequality by using decile grouping of disease rates as shown in Figure 5 and Figure 6. Inequalities in disease rates existed for different areas of the county with higher disease rates occurring near the center of the county. keywords: cases; chlamydia; coefficient; county; decile; disease; disease rates; gini; gonorrhea; health; health informatics; inequality; informatics; informatics approach; information systems; public; rates; systems; townships cache: ojphi-10155.pdf plain text: ojphi-10155.txt item: #11 of 1513 id: ojphi-10157 author: None title: ojphi-10157 date: 2019-09-16 words: 6084 flesch: 31 summary: Abbreviations: Data summarization technique (DST), electronic disease early warning system (eDEWS), electronic integrated disease early warning system (eIDEWS), early warning and response network (EWARN), early warning and response system (EWARS), early warning and response (EWAR), global system for mobile communications (GSM), health management information system (HMIS), internally displaced populations (IDPs), information technology (IT), short messaging service (SMS), World Health Organization (WHO) While multiple challenges have been reported with implementation of EWARN in humanitarian setting, the need for standardization of electronic tools for data collection, analysis and reporting for use in humanitarian settings when existing public health surveillance systems are overburdened, underperforming or non-existent at all remains a critical necessity for public health workers in such settings. keywords: data; disease; disease surveillance; edews; health; implementation; outbreak; pakistan; public; response; surveillance; system; warning; yemen cache: ojphi-10157.pdf plain text: ojphi-10157.txt item: #12 of 1513 id: ojphi-10243 author: Michael Popovich title: ojphi-10243 date: 2019-09-17 words: 5468 flesch: 47 summary: A model for this economic assessment was tested with a sample of state IIS. The value and use of IIS data is increasing. keywords: cost; data; health; iis; immunization; information; investment; model; score; state; support; systems cache: ojphi-10243.pdf plain text: ojphi-10243.txt item: #13 of 1513 id: ojphi-10244 author: user title: ojphi-10244 date: 2019-09-18 words: 4886 flesch: 45 summary: Conclusion: Text message reminder system has been developed for routine childhood immunization program in Ethiopian context. ISSN 1947-2579 * http://ojphi.org * 11(2):e15, 2019 OJPHI Figure 2: Text message reminder system architecture for routine child vaccination Automated system development They system is developed using front end and backend technologies. keywords: child; development; ethiopia; health; immunization; informatics; message; message reminder; public; reminder; reminder system; system; text; uptake; vaccination cache: ojphi-10244.pdf plain text: ojphi-10244.txt item: #14 of 1513 id: ojphi-10247 author: Edward Mensah title: ojphi-10247 date: 2019-09-17 words: 1291 flesch: 44 summary: Editorial OJPHI Vol 11, No 2 (2019) Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 11(2):e1, 2019 OJPHI Advances in the development of mobile applications, cloud-based computing, online education, and artificial intelligence if applied to the management of healthy home inspection programs could have profound beneficial effects in responding to the Surgeon General's call to action. The level of tenant involvement in healthy homes programs can increase the value of information technology support. keywords: health; home; information; support; technology cache: ojphi-10247.pdf plain text: ojphi-10247.txt item: #15 of 1513 id: ojphi-10255 author: Mian title: ojphi-10255 date: 2020-01-21 words: 3433 flesch: 45 summary: Construction of an exchange interface for the transmission of laboratory results: a case of the National Tuberculosis Center Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 11(3):e21, 2019 OJPHI Construction of an exchange interface for the transmission of laboratory results: a case of the National Tuberculosis Center Constant Joseph Koné 1*, Ndri Nda Anatole Mian 1, Cataud Marius Guede 1, Man-Koumba Soumahoro 1 1 Pasteur Institute of Côte d’Ivoire, Epidemiology Unit Abstract Introduction The transmission of test results by laboratories and their receipt by health facilities are common tasks in the processing of medical information. Keywords: Information Systems, Tuberculosis, Health Facilities, HL7 Corresponding author: Constant Joseph Koné Email: koneconstant@pasteur.ci, koneconstant@yahoo.fr* DOI: 10.5210/ojphi.v11i3.10255 Construction of an exchange interface for the transmission of laboratory results: a case of the National Tuberculosis Center Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 11(3):e21, 2019 OJPHI Context and issues The transmission of test results from laboratories and their receipt by health facilities are common tasks in the processing of medical information. keywords: center; health; information; interface; laboratory; results; system; transmission; tuberculosis cache: ojphi-10255.pdf plain text: ojphi-10255.txt item: #16 of 1513 id: ojphi-10264 author: Don Brannen title: Author template for journal articles date: 2021-12-20 words: 5098 flesch: 60 summary: Fall injuries (FI) are a priority for public health planning. Persons requiring emergency department treatment for falls compared to hospital inpatient and outpatient discharge data have been done [7], but there has not been a cohort study design that compared the risk of injuries from falls within the population versus a more efficient case- control of fall injuries using all other traumatic injuries requiring acute care. keywords: acute; care; data; fall; health; injuries; injury; public; risk; study; surveillance cache: ojphi-10264.pdf plain text: ojphi-10264.txt item: #17 of 1513 id: ojphi-10321 author: None title: ojphi-10321 date: 2020-04-17 words: 8276 flesch: 50 summary: Sample of AlchemyAPI sentiment analysis of health tweets Tweet Score Category Involved lymph nodes in HPV positive oropharyngeal cancer Regional control is preserved after dose de excavated 0.0000 neutral Ambulance came in hospital with atrial flutter on like this -0.2296 In addition, while AlchemyAPI was a sentiment analysis tool, its veracity at categorizing health tweets remains largely untested. keywords: analysis; cancer; content; discussions; health; health issues; informatics; internet; issn; issues; journal; media; number; online; public; sentiment; study; tweets; twitter; understanding; user; visualization cache: ojphi-10321.pdf plain text: ojphi-10321.txt item: #18 of 1513 id: ojphi-10323 author: None title: ojphi-10323 date: 2020-01-04 words: 7607 flesch: 41 summary: The third theme was understanding the strengths and hazards of using the internet to acquire and manage research data, with a focus on principles and practice of information security. ISSN 1947-2579 * http://ojphi.org * 11(3):e22, 2019 OJPHI • Develop and implement spatial research questions using GIS geospatial analysis technologies for health research Principles & Practice of Research Data Management • Understand the unique ethical and technical requirements of research involving human participants • Know the historical evolution of methods for managing clinical research data • Know types of data management software that are appropriate for single site and multicenter research, for studies of varying size and complexity • Understand the characteristics of successful research data management operations • Know how research data audits are conducted and how to prepare for one • Understand methods for ensuring the security and confidentiality of physical and electronic research data • Understand the strengths and • Managing research data in compliance with international Good Clinical Practice standards • Data modeling for design of computerized databases that accommodate sparse data and repeated measures • Ability to create processes that result in research data that is accurate, complete, timely, verifiable, secure, and available for analysis • Ability to write a complete research data management plan for a clinical research project, including process, people, technology, and budget components • Ability to design high quality paper and electronic data capture forms • Ability to use two contemporary online data management systems (REDCap • What is Biomedical Informatics, and how does it contribute to effective data management? keywords: capacity; course; data; gis; health; health research; ict; information; kenya; knowledge; learning; management; online; research; skills; technology; tools; training; use cache: ojphi-10323.pdf plain text: ojphi-10323.txt item: #19 of 1513 id: ojphi-10335 author: Aisha Muhammad Abdullahi title: Subjective Well-being and Personality Traits: Towards Personalized Persuasive Interventions for Health and Well-being. date: 2020-04-13 words: 11156 flesch: 49 summary: ISSN 1947-2579 * http://ojphi.org * 12(1):e1, 2020 OJPHI being, and Emotional well-being scales to assess the Affective dimension of subjective well-being This suggests that they harbor a low sense of SWB when compared to other personality traits. keywords: components; extraversion; happiness; health; health informatics; informatics; interventions; life; neuroticism; online; people; personality; personality traits; public; satisfaction; traits cache: ojphi-10335.pdf plain text: ojphi-10335.txt item: #20 of 1513 id: ojphi-10358 author: None title: ojphi-10358 date: 2020-01-27 words: 7199 flesch: 40 summary: Health promotion is increasingly another context in which the engagement of the public through self-reporting and data collection is contributing to forms of public health research and policy [34,35]. Health promotion Contributory models of approach have largely been applied to public participation in health promotion and public health research in several large-scale campaigns in Australia. keywords: 2019; australia; citizen; citizen science; commentary; community; data; health; health research; informatics; internet; involvement; journal; models; october; online; participation; participatory; public; pubmed; research; science cache: ojphi-10358.pdf plain text: ojphi-10358.txt item: #21 of 1513 id: ojphi-10416 author: Swatscheno, Janet Marie title: ojphi-10416 date: 2020-05-26 words: 3142 flesch: 36 summary: ISSN 1947-2579 * http://ojphi.org * 12(1):e5, 2020 OJPHI Discussion Establishing information systems to support the control of MDR-TB outbreaks is the cornerstone of public health practice. System modules were built on the basis of information derived from the value chain analysis. keywords: control; data; health; information; mdr; public; support; system; thailand; tuberculosis cache: ojphi-10416.pdf plain text: ojphi-10416.txt item: #22 of 1513 id: ojphi-10456 author: Steven Korzeniewski title: ojphi-10456 date: 2020-04-17 words: 10775 flesch: 42 summary: Known as PHOENIX (The Population Health OutcomEs aNd Information EXchange), the approach leverages a state level health information exchange and multiple other resources to facilitate the integration of clinical and social determinants of health data with a goal of achieving true population health monitoring and management. Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services. keywords: 12(1):e3; 2015; 2016; 2019; approach; burden; care; community; data; determinants; disease; doi; epidemiology; epub; exchange; health; health information; health outcomes; information; information exchange; issn; journal; level; medicine; ojphi; online; phoenix; population health; precision; program; public; pubmed; research; risk; social cache: ojphi-10456.pdf plain text: ojphi-10456.txt item: #23 of 1513 id: ojphi-10557 author: Microsoft account title: ojphi-10557 date: 2020-07-02 words: 7179 flesch: 46 summary: Enhancing feelings of being cared for, and prompting self-care Pregnant women associated receiving maternal health information on phone with feelings of being cared for. They can provide a promising alternative or complementary approach to providing maternal health information especially among the rural illiterate women who might not easily access the information from health facilities. keywords: antenatal; application; care; health; information; journal; methods; mobile; multimedia; participants; phone; pregnancy; public; study; uganda; women cache: ojphi-10557.pdf plain text: ojphi-10557.txt item: #24 of 1513 id: ojphi-10574 author: Wendlandt, Rachael (CDC/CGH/DGHP) (CTR) title: ojphi-10574 date: 2020-12-22 words: 7606 flesch: 51 summary: Mixed Modes Previous literature suggests that mixing modes can increase response rates and improve the quality of mobile phone survey data [15]. This approach to data collection demonstrates that mobile phone surveys can supplement face-to- face data collection methods. keywords: collection; countries; data; data collection; disease; health; mobile; mode; ncd; phone; public; surveda; surveillance; survey; tool cache: ojphi-10574.pdf plain text: ojphi-10574.txt item: #25 of 1513 id: ojphi-10576 author: Mgbere, Osaro - HHD title: ojphi-10576 date: 2020-05-11 words: 9566 flesch: 45 summary: Model-Based Recursive Partitioning of Patients’ Return Visits to Multispecialty Clinic During the 2009 H1N1 Pandemic Influenza (pH1N1) 1 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 12(1):e4, 2020 OJPHI Model-Based Recursive Partitioning of Patients’ Return Visits to Multispecialty Clinic keywords: 12(1):e4; care; clinic; data; doi; health; influenza; informatics; issn; journal; model; multispecialty; multispecialty clinic; online; pandemic; partitioning; patients; ph1n1; public; pubmed; return visits; study cache: ojphi-10576.pdf plain text: ojphi-10576.txt item: #26 of 1513 id: ojphi-10579 author: David Scales title: ojphi-10579 date: 2020-06-03 words: 4559 flesch: 39 summary: SDoH surveillance data lags months to years behind clinical surveillance data, creating a relatively static retrospective tableau of prevalence that misrepresents the real-time environment. Despite these welcome advances, there has been less focus on the necessary surveillance systems that can improve epidemiological monitoring of SDoH (for example, see [7]), though leveraging social data to benefit communities does appear to be on the rise [8]. keywords: challenges; data; detection; determinants; epidemics; health; informatics; journal; online; public; pubmed; sdoh; surveillance; surveillance systems; systems cache: ojphi-10579.pdf plain text: ojphi-10579.txt item: #27 of 1513 id: ojphi-10588 author: Swatscheno, Janet Marie title: ojphi-10588 date: 2020-07-21 words: 4737 flesch: 44 summary: The synthesis of activity sequences has been explored with varying levels of success [7-11], but to the authors' knowledge, no attempts to classify ATUS activities for cohort identification have been reported. Identification and classification of activity and demographic classes enable us to construct activity sequences, the latter being artificial constructs used to model behavior in our recently published agent-based model [13] for total exposure. keywords: activities; activity; atus; classes; classification; generation; health; informatics; modeling; sequences; time cache: ojphi-10588.pdf plain text: ojphi-10588.txt item: #28 of 1513 id: ojphi-10602 author: None title: ojphi-10602 date: 2020-07-21 words: 4501 flesch: 44 summary: Objectives: To assess awareness of CDSi resources, whether CDSi resources were being used by immunization-related health information systems, and perceived impact of CDSi resources on stakeholders’ work. The purpose of the CDSi online assessment was to assess stakeholder awareness of CDSi resources, whether CDSi resources were being used by immunization-related HIS stakeholders, and what impact the CDSi resources have had on stakeholders’ work. keywords: cdsi; decision; health; immunization; information; resources; round; support; use cache: ojphi-10602.pdf plain text: ojphi-10602.txt item: #29 of 1513 id: ojphi-10611 author: Abdul Alshammari title: ojphi-10611 date: 2020-07-21 words: 5043 flesch: 47 summary: Conclusion: In this paper, the building of a machine learning model for early prediction of diabetes had a basis on real health data collected from the Ministry of National Guard Health Affairs, Saudi Arabia. Diabetes Risk Score was the most convenient tool for diabetes prediction [7]. keywords: accuracy; data; deepnet; diabetes; disease; health; healthcare; informatics; learning; machine; mellitus; online; patients; prediction; pubmed; saudi; type cache: ojphi-10611.pdf plain text: ojphi-10611.txt item: #30 of 1513 id: ojphi-10644 author: Swatscheno, Janet Marie title: ojphi-10644 date: 2020-11-09 words: 4805 flesch: 35 summary: Molecular DST results refer to a single genetic testing result or a large panel of multiple results for different genes/loci and their implied susceptibility interpretations. The health informatics literature contains limited research pertaining to data exchange formats for reporting molecular DST results. keywords: data; dst; exchange; health; hl7; laboratory; loinc; molecular; panel; public; reporting; resistance; results cache: ojphi-10644.pdf plain text: ojphi-10644.txt item: #31 of 1513 id: ojphi-10662 author: Swatscheno, Janet Marie title: ojphi-10662 date: 2020-07-21 words: 3561 flesch: 52 summary: ASHA-Soft is the pioneer e-Health program which was launched to manage online payment and for monitoring performance of ASHA workers in Rajasthan. Qualitative data was also obtained from ASHA workers and key stakeholders. keywords: asha; health; online; payment; program; rajasthan; soft cache: ojphi-10662.pdf plain text: ojphi-10662.txt item: #32 of 1513 id: ojphi-10703 author: Schwartz, Diane title: ojphi-10703 date: 2020-07-13 words: 4692 flesch: 33 summary: Programs at four institutions were reviewed to examine common teaching practices that stimulate learners to explore the field of public health informatics. Goal of public health informatics The discipline of PHI applies information and computer science to enhance public health processes and decision-making [9]. keywords: data; education; graduate; health; health informatics; informatics; online; phi; population; programs; public; students cache: ojphi-10703.pdf plain text: ojphi-10703.txt item: #33 of 1513 id: ojphi-10818 author: Roger Morbey title: ojphi-10818 date: 2021-12-16 words: 6225 flesch: 44 summary: Therefore, there is a gap in our understanding of the detection capabilities of multi-purpose syndromic surveillance services because services are usually only evaluated as if they have a single purpose and only in terms of the ability to generate statistical alarms. The stages can be characterized as: data collection, storage and extraction; aggregation to syndromic indicators; application of detection algorithms; and interpretation, Evaluating multi-purpose syndromic surveillance systems – a complex problem 10 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 13(3):e15, 2021 OJPHI reporting and taking action. keywords: capabilities; data; detection; disease; events; health; problem; public; pubmed; purpose; service; surveillance; surveillance systems; systems; types cache: ojphi-10818.pdf plain text: ojphi-10818.txt item: #34 of 1513 id: ojphi-10878 author: None title: ojphi-10878 date: 2021-12-21 words: 4859 flesch: 50 summary: By increasing access to research data, the “impact, efficiency, and effectiveness of scientific activities and funding opportunities” are also increased [1]. The C3PNO VDR is available to inform consortium and external investigators interested in submitting concept sheets for research proposing to use consortium data for consideration by C3PNO. keywords: c3pno; cohorts; consortium; data; health; hiv; participants; repository; research; sharing; study; use; vdr cache: ojphi-10878.pdf plain text: ojphi-10878.txt item: #35 of 1513 id: ojphi-11072 author: HEMA KARUNAKARAM title: None date: 2021-02-25 words: 5744 flesch: 40 summary: Framework and Illustrations using COVID-19 Jane L. Snowdon PhD1*, William Kassler MD MPH1, Hema Karunakaram MPH1, Brian E. Dixon MPA PhD2,3, Kyu Rhee MD MPP1 1IBM Watson Health, Cambridge, MA, USA 2Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA 3Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA Abstract Objective: To develop a conceptual model and novel, comprehensive framework that encompass the myriad ways informatics and technology can support public health response to a pandemic. Framework and Illustrations using COVID-19 3 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 13(1):e1, 2021 OJPHI Prior lessons and frameworks for public health response do not focus on the roles of informatics or technology, and they tend to be heavily focused on vaccine and therapeutic development keywords: covid-19; data; disease; framework; health; health informatics; health response; informatics; online; pandemic; public; recovery; response; solutions; support; technology cache: ojphi-11072.pdf plain text: ojphi-11072.txt item: #36 of 1513 id: ojphi-11087 author: Sripriya Rajamani title: None date: 2021-04-06 words: 5619 flesch: 43 summary: While restaurant inspection data are routinely collected, these data are not regularly aggregated like traditional surveillance data. The three main challenges are: 1) lack of a national framework; 2) lack of data standards and interoperability; and 3) limited access to restaurant inspection data. keywords: data; food; foodborne; health; health informatics; illness; informatics; inspection; lack; public; restaurants; safety; surveillance cache: ojphi-11087.pdf plain text: ojphi-11087.txt item: #37 of 1513 id: ojphi-11090 author: Hossein Sahbafar title: None date: 2022-08-04 words: 6387 flesch: 42 summary: “Health information technology and management” is another topic that has been identified in the present study and refers to the application of health information technology in COVID-19. Conclusion: Health information technology has been extensively used during COVID-19 epidemic. keywords: 2020; analysis; covid-19; covid-19 epidemic; data; epidemic; health; health information; information; information technology; medical; mining; modeling; pubmed; review; study; technology; text; topic; url cache: ojphi-11090.pdf plain text: ojphi-11090.txt item: #38 of 1513 id: ojphi-11094 author: Swatscheno, Janet Marie title: ojphi-11094 date: 2021-07-19 words: 3768 flesch: 51 summary: The first relates to the use of Twitter within family planning programs for program enhancement and the second relates to themes that require greater research and analysis. By program enhancement, we mean improved reach of family planning programs to educate and orient users and potential users resulting in a more informed clientele. keywords: countries; family; health; media; planning; program; public; tweets; twitter; use cache: ojphi-11094.pdf plain text: ojphi-11094.txt item: #39 of 1513 id: ojphi-11456 author: Nandini Krishna title: ojphi-11456 date: 2021-03-09 words: 6772 flesch: 59 summary: The 7-day average change of new COVID-19 cases showed an increase in COVID-19 cases only in Rajasthan while all other states showed decline (Figure11b). COVID-19 Total number of fatality Central India Source: smaartrapidtracker.org (October 1 2020) COVID-19 burden West Zone • Total COVID-19 case and fatality: Total COVID-19 cases in the state of Maharashtra (n=1366129) were highest compared to the total number of COVID-19 cases in the state of Gujarat (n=135842) and Rajasthan (n=133119). keywords: cases; covid-19; fatality; india; number; october; rapid; smaart; states; total; tracker cache: ojphi-11456.pdf plain text: ojphi-11456.txt item: #40 of 1513 id: ojphi-11462 author: Hannah title: None date: 2021-02-25 words: 6432 flesch: 40 summary: Additionally, we hope that the code and resources found in our Github repositories and the considerations shared in this manuscript benefit others in their efforts to develop and operationalize FHIR applications in general and PRO applications in particular. We are actively investigating the use of a so-called standalone SMART on FHIR application setup to simplify our authorization system. keywords: 2020; application; covid-19; data; e.g.; fhir; health; information; mobile; public; reporting; resources; stayhome; symptom; tool; tracker; use cache: ojphi-11462.pdf plain text: ojphi-11462.txt item: #41 of 1513 id: ojphi-11465 author: Ishva title: ojphi-11465 date: 2021-09-11 words: 8615 flesch: 52 summary: First, a dataset with large sample size and many desirable variables for rats TB detection performance is valuable to increase the number of known factors. The endorsed conventional tests such as concentrated smear microscopy offer higher sensitivity than the direct microscopy and thus are used to confirm detection rat results before patients start treatment keywords: data; decision; detection; detection performance; factors; independent; observations; performance; rats; table; tuberculosis; variables cache: ojphi-11465.pdf plain text: ojphi-11465.txt item: #42 of 1513 id: ojphi-11484 author: Jonathon Feit title: ojphi-11484 date: 2021-02-25 words: 3590 flesch: 46 summary: The data incorporated were generated by: (1) four different electronic patient care record (ePCR) systems; (2) covering a varied geography including both urban and rural care providers; (3) varied agency types, including public EMS, private EMS, hospital-based EMS, fire-based EMS, community paramedic, and critical care; and (4) a defined set of investigable codes rather than a subjective text-based determination (i.e., the ICD-10 code was queried as opposed to language featuring the word “COVID-19”). Conclusions: Other studies have noted that EMS agencies are tasked with transporting the “sickest of the sick.” keywords: covid-19; data; ems; exposure; health; public; research; safety; symptoms; tracking cache: ojphi-11484.pdf plain text: ojphi-11484.txt item: #43 of 1513 id: ojphi-11506 author: Gregory W Arling title: ojphi-11506 date: 2020-12-10 words: 2887 flesch: 52 summary: The goals of the study are: • Improve the accuracy of commonly quoted COVID-19 mortality indicators; • Gain a better understanding of spatial and temporal distribution of COVID-19 deaths; • Examine the role of race, ethnicity, and socioeconomic status in COVID-19 mortality; • Identify population and organizational parameters that can inform strategies for public health interventions. ISSN 1947-2579 * http://ojphi.org * 12(2):e15, 2020 OJPHI Information System Program (UIC-SPH-PHGIS) and Purdue research team has been examining spatial and temporal patterns of COVID-19 mortality with a focus on the significant loss of life from COVID-19 among Long-Term Care Facility (LTCF) residents in contrast to mortality in the community among residents of private households (non-LTCF; referred to as household population, HP). keywords: cook; covid-19; figure; health; ltcf; mortality; risk; wave cache: ojphi-11506.pdf plain text: ojphi-11506.txt item: #44 of 1513 id: ojphi-11515 author: seyed Mohammad Tabatabaei title: ojphi-11515 date: 2021-04-30 words: 1203 flesch: 43 summary: Of course, different definitions have been provided for smart hospital, but creating an effective connection between patients, health care providers and the machine has been emphasized in them. Smart hospital would help to reduce the workload of the staff and increase their efficiency, facilitate hospital activities, improve the quality of processes and increase patient safety [9]. keywords: covid-19; health; hospital; public; smart cache: ojphi-11515.pdf plain text: ojphi-11515.txt item: #45 of 1513 id: ojphi-11517 author: Chioma Amadi title: ojphi-11517 date: 2021-06-03 words: 8056 flesch: 40 summary: 145 33 15 13 12 12 12 12 9 8 6 5 0 20 40 60 80 100 120 140 160 New York Westchester Nassau Suffolk Albany Bronx Erie Monroe Queens Onondaga Kings Rockland Distribution of number of population health informatics jobs in New York State using Indeed Search Engine Figure 2. Distribution of population health informatics jobs in New York State Developing Evidence-based Population Health Informatics curriculum: [30] and public health informatics competencies created by the Center for Disease Control keywords: analysis; competencies; competency; curriculum; data; degree; development; evidence; health; health informatics; informatics; issn; job; jobs; online; population; population health; postings; public; skills cache: ojphi-11517.pdf plain text: ojphi-11517.txt item: #46 of 1513 id: ojphi-11550 author: Swatscheno, Janet Marie title: ojphi-11550 date: 2021-12-17 words: 5695 flesch: 45 summary: [43] revised the Tsuji-Akematsu model of quantifying eHealth benefits to propose that if the cost of using eHealth system could be quantified for each user, these calculations could be used to indicate a revenue source for financing eHealth systems. eHealth systems also provide the information needed to monitor progress toward UHC. keywords: africa; countries; coverage; ehealth systems; health; health coverage; healthcare; information; interventions; pubmed; quality; services; support; systems; uhc cache: ojphi-11550.pdf plain text: ojphi-11550.txt item: #47 of 1513 id: ojphi-11582 author: Heather Kolnick title: ojphi-11582 date: 2021-05-28 words: 6582 flesch: 58 summary: If a patient is found to not be using their device according to treatment recommendations, they will be contacted by Home Health Hub health coaches to troubleshoot and receive support with using their devices as directed. Additionally, Home Health Hub can conceivably benefit all users of telehealth, regardless of health status—an important need during the COVID-19 pandemic, and in general due to increased use of virtual visits. keywords: adults; care; design; devices; health; home; hub; monitoring; patient; platform; rpm; telehealth; thinking cache: ojphi-11582.pdf plain text: ojphi-11582.txt item: #48 of 1513 id: ojphi-11617 author: Jones, Katherine title: ojphi-11617 date: 2021-12-17 words: 5325 flesch: 45 summary: On October 16, 2020, the State of North Carolina released its COVID-19 Vaccination Plan and prioritized critical population groups that would receive the vaccine.[14] Using guidance from the NAM recommendations, it identified a “phased approach” that included high risk health workers, staff in long term care, people over 65 and staff of congregate living settings (i.e., migrant farm camps, jails, prisons, homeless shelters, and anyone with two or more chronic conditions identified by CDC to be high risk for COVID-19 complications). [6] The ability for health officials to identify high risk populations and facilities in advance, could assist in planning efforts, including improving supply chain delivery, providing accurate estimates of doses to safeguard communities. keywords: carolina; census; covid-19; health; index; mapping; north; populations; priority; public; risk; tool; vaccine cache: ojphi-11617.pdf plain text: ojphi-11617.txt item: #49 of 1513 id: ojphi-11621 author: Michael Cailas title: ojphi-11621 date: 2021-03-17 words: 4145 flesch: 46 summary: A Data Driven Approach for Prioritizing COVID-19 Vaccinations in the Midwestern United States Greg Arling1, Matthew Blaser2, Michael D. Cailas3*, John R. Canar4, Brian Cooper4, Joel Flax- Hatch3, Peter J. Geraci5, Kristin M. Osiecki6, and Apostolis Sambanis5 1 Purdue University, School of Nursing, College of Health and Human Sciences 2 United States Environmental Protection Agency, Research Associate under an inter-agency agreement with Oak Ridge Institute for Science and Education 3 Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago 4 United States Environmental Protection Agency Region V; and Health Policy and Administration, School of Public Health, University of Illinois Chicago 5 Health Policy and Administration, School of Public Health, University of Illinois Chicago 6 University of Minnesota, Rochester, Center for Learning Innovation Abstract Considering the potential for widespread adoption of social vulnerability indices (SVI) to prioritize COVID-19 vaccinations, there is a need to carefully assess them, particularly for correspondence with outcomes (such as loss of life) in the context of the COVID-19 pandemic. This approach has the potential to account for areas with high vulnerability characteristics as well as to incorporate the areas that were hard hit by the pandemic. keywords: approach; areas; cdc.svi; counties; covid-19; health; public; states; vaccinations; vulnerability cache: ojphi-11621.pdf plain text: ojphi-11621.txt item: #50 of 1513 id: ojphi-11651 author: Elisabeth Scheufele title: None date: 2022-08-04 words: 4237 flesch: 40 summary: The claims dataset has been appended to PRIZM Market Segmentation and to PULSE Survey responses, with use case pertinent information from each dataset detailed by market segment, and also PULSE responses centered to zero for ease of discussion. Insights gleaned from appending market segmentation and healthcare utilization survey data can fill in knowledge gaps from claims-based data and provide practical and actionable insights for use by providers, payers and public health entities. keywords: data; dataset; depression; health; level; market; population; pulse; segmentation; survey cache: ojphi-11651.pdf plain text: ojphi-11651.txt item: #51 of 1513 id: ojphi-11694 author: Tiffany T. Chen title: ojphi-11694 date: 2021-05-24 words: 5784 flesch: 50 summary: WA State was the first U.S. state to report a COVID-19 infection on January 20, 2020 and one of the earliest states to be hit hard by the growing epidemic [12]. WA State was one of the earliest states to consider adopting the smartphone-based EN technology to support COVID- 19 responses, and sequentially developed and evaluated a locally developed app based on the PACT protocol, the use of an open-source GAEN app, and the implementation of WA Notify as a configuration of the Google/Apple Exposure Notification Express (ENX) embedded capabilities in iOS and Android phones [13]. keywords: adoption; bluetooth; contact; exposure; health; implementation; notification; notify; planning; state; tool; washington cache: ojphi-11694.pdf plain text: ojphi-11694.txt item: #52 of 1513 id: ojphi-11842 author: Lisa Gualtieri title: ojphi-11842 date: 2022-01-13 words: 12726 flesch: 58 summary: Studies have shown that a majority of older adults and their caretakers are interested in using digital health solutions to monitor their health conditions in their homes [22,23]. As older adult populations of this and other nations continue to grow, there will be a need for digital health solutions which can help empower older adults to maintain brain health in their homes. keywords: aarp; adults; blood; blood pressure; brain; brain health; data; digital; health; home; informatics; monitoring; pressure; primary; public; solution; trends; users; 𝐷𝐵𝑃; 𝑂𝑅 𝐷𝐵𝑃; 𝑆𝐵𝑃 cache: ojphi-11842.pdf plain text: ojphi-11842.txt item: #53 of 1513 id: ojphi-12419 author: None title: None date: 2022-08-04 words: 5393 flesch: 44 summary: As the assumption is that HL and SVI represent significant variables that should be taken into consideration when investigating the association between social media sentiments and vaccination rate, it is relevant to explore the relationship between them, as well as their relationships with demographic composition. Another strength is that both tweets and vaccination rates data were collected daily in real-time, giving insight into trends surrounding vaccination and providing value to the analysis described in the study. keywords: covid-19; health; literacy; media; population; rates; sentiments; svi; tweets; vaccination; vaccine cache: ojphi-12419.pdf plain text: ojphi-12419.txt item: #54 of 1513 id: ojphi-12449 author: None title: ojphi-12449 date: 2022-11-23 words: 3694 flesch: 43 summary: However, persons were enrolled in Sara Alert based on health department policies and priorities, and as such our findings can provide relevant insights regarding the acceptability of automated symptom monitoring for a range of purposes. We describe use of a digital tool, Sara Alert, for automated daily symptom monitoring across multiple public health jurisdictions. keywords: alert; covid-19; health; jurisdictions; monitoring; persons; public; sara; symptom; tool cache: ojphi-12449.pdf plain text: ojphi-12449.txt item: #55 of 1513 id: ojphi-12577 author: De Groote, Sandra title: None date: 2022-09-05 words: 10245 flesch: 54 summary: The majority of included ontologies were evaluated (76%, 38/50), either through software applications or use-case scenarios. The Representation of Causality and Causation with Ontologies: A Systematic Literature Review OJPHI The Representation of Causality and Causation with Ontologies: A Systematic Literature Review Suhila Sawesi, PhD1,2 *, Mohamed Rashrash, PhD3, Olaf Dammann, MD, SM, PhD1,4,5 1. keywords: articles; causality; causation; cause; conference; data; disease; domain; effect; ieee; information; international; knowledge; literature; ojphi; ontologies; ontology; pubmed; quality; representation; review; studies; study cache: ojphi-12577.pdf plain text: ojphi-12577.txt item: #56 of 1513 id: ojphi-12593 author: None title: ojphi-12593 date: 2022-10-28 words: 6326 flesch: 48 summary: These insights suggested a need for health information solutions that preserve privacy and are accessible in both online and offline formats. However, increased reliance on online health information seeking has heightened concern around rapid dispersion of health misinformation and disinformation keywords: aarp; adults; browser; browser extension; content; design; digital; doi; extension; health; health information; information; online; retrieval; search; seeking; thinking; use cache: ojphi-12593.pdf plain text: ojphi-12593.txt item: #57 of 1513 id: ojphi-12731 author: Moges title: None date: 2022-10-28 words: 9977 flesch: 48 summary: Conclusion: Generally, community health information system implementation in LMICs is in its early stage. Conclusion and recommendations Generally, community health information system implementation in LMICs is in its early stage. keywords: challenges; chis; collection; community; community health; data; family; health; health information; implementation; information; information system; lessons; literature; lmics; mobile; reporting; review; studies; study; system; use cache: ojphi-12731.pdf plain text: ojphi-12731.txt item: #58 of 1513 id: ojphi-12851 author: None title: ojphi-12851 date: 2022-12-19 words: 5905 flesch: 55 summary: Several prior studies have analyzed patient behavior regarding health technology usage and its impact on patient health Unsupervised Learning To determine which subgroups of patients did not choose to access online health records, we clustered two samples of patients who did not access online health records (NotAccessed_ConcernedPrivacy and NotAccessed_NoInternet) using k-means clustering on the data from Cycle 1 and Cycle 2. keywords: access; algorithm; cycle; engagement; health; information; internet; learning; machine; medical; model; patient; portal; study; use cache: ojphi-12851.pdf plain text: ojphi-12851.txt item: #59 of 1513 id: ojphi-2750 author: Kshitij Naval title: An Informatics Solution for Informing Care Delivery of Immediate Public Health Risks to Their Patients date: 2014-08-20 words: 4876 flesch: 44 summary: AKR public health alerts contain information including alert date, disease/condition, affected geographic region, relevant case data, as well as recommendations on diagnostic evaluation, treatment, prevention, and reporting. Public health alerts retrieved this way can contain the information on the public health event (e.g., case counts, location; disease details; diagnostic procedures; prevention and treatment options; and reporting information). keywords: akr; alert; care; clinicians; delivery; disease; emr; health; informatics; patient; public; risks; solution cache: ojphi-2750.pdf plain text: ojphi-2750.txt item: #60 of 1513 id: ojphi-2771 author: Kshitij Naval title: Editorial Manager(tm) for Sexually Transmitted Diseases Manuscript Draft date: 2014-08-20 words: 5508 flesch: 51 summary: Literature searches returned no studies applying program theory development and evaluability assessment to STD intervention policies. Of the thirteen LHDs involved in case studies, twelve of them indicated intervention the desire for state intervention activities in addition to the standard screening. keywords: chlamydia; cost; county; data; development; disease; effectiveness; evaluation; gis; health; illinois; intervention; policy; state; trachomatis cache: ojphi-2771.pdf plain text: ojphi-2771.txt item: #61 of 1513 id: ojphi-2778 author: Joe Lombardo title: Public Health Informatics and the H1N1 Pandemic date: 2009-12-22 words: 597 flesch: 41 summary: Public health informatics is an emerging field that has the potential to immediately support the ten essential public health services. As the field of public health informatics expands, its researchers and developers must keep in mind the goal of translating their achievements into open environment so that their informatics products can be made available to public health practitioners when they are needed. keywords: health; informatics cache: ojphi-2778.pdf plain text: ojphi-2778.txt item: #62 of 1513 id: ojphi-2837 author: title: A confidence-based aberration interpretation framework for outbreak conciliation date: 2010-04-09 words: 7067 flesch: 53 summary: • Provides a mechanism to derive confidence value based on dynamic point assignment system. 8. Conclusion A novel aberration interpretation framework has been proposed for producing a confidence based system decision focusing on high confidence values at the start of an outbreak. keywords: aberration; algorithms; confidence; day; figure; framework; health; interpretation; outbreak; point; set cache: ojphi-2837.pdf plain text: ojphi-2837.txt item: #63 of 1513 id: ojphi-2847 author: - title:  date: 2014-08-20 words: 5051 flesch: 58 summary: The AQT facilitates saving public queries by providing an interface similar to saving private queries (Figure 11). The surveillance system should implement the inner workings of the permanent storage and retrieval of public queries. keywords: aqt; data; disease; figure; health; queries; query; surveillance; systems; user cache: ojphi-2847.pdf plain text: ojphi-2847.txt item: #64 of 1513 id: ojphi-2855 author: Blaine Reeder title: Use of Technology to Support Information Needs for Continuity of Operations Planning in Public Health: A Systematic Review date: 2010-04-09 words: 7731 flesch: 49 summary: The aim of this paper is to identify and review published studies of information systems and technology projects that address information needs in the context of public health continuity operations planning and review public health emergency management information systems that are applicable to public health COOP. Furthermore, it is important to explore technologies, approaches and challenges to advance the design of future public health COOP information systems. keywords: continuity; data; decision; disaster; emergency; gis; health; information; information needs; issn; journal; management; needs; operations; planning; public; review; studies; support; systems; technology; use cache: ojphi-2855.pdf plain text: ojphi-2855.txt item: #65 of 1513 id: ojphi-2893 author: Beverly Ward title: - date: 2013-01-18 words: 5636 flesch: 39 summary: ISSN 1947-2579 * http://ojphi.org * 2(1):e6, 2010 http://ojphi.org/ Application of geographic information systems (GIS) and asset mapping to Facilitate identification of colorectal cancer screening resources Methods Several factors informed our decision to consider the use of GIS and asset mapping to the investigation of colorectal cancer resources. Specifically, a formal assessment of the TBCCN partners [35] identified an unmet need to increase access and availability of colorectal cancer screening resources. keywords: asset; cancer; colorectal; community; data; gis; health; information; mapping; public; resources; screening; systems cache: ojphi-2893.pdf plain text: ojphi-2893.txt item: #66 of 1513 id: ojphi-2910 author: Ron Price title: SaTScan on the Cloud date: 2010-04-09 words: 3669 flesch: 50 summary: The choice was either to create a grid service that had the ability to stand-up SaTScan grid services and another grid service that could be invoked to run SaTScan jobs or to create a single SaTScan grid service that could perform both functions. These tools and others developed by the caGrid project (http://cagrid.org/display/introduce/Home) provide a set of tools and a layer of abstraction around Globus WS-Core that significantly reduce the amount of effort required to deploy grid services. keywords: analysis; cloud; demand; grid; health; informatics; public; satscan; service cache: ojphi-2910.pdf plain text: ojphi-2910.txt item: #67 of 1513 id: ojphi-2920 author: Stinn, John Frederick title: Title: Using Secure Web Services to Visualize Poison Center Data for Nationwide Biosurveillance: A Case Study date: 2010-04-12 words: 3033 flesch: 36 summary: Although data access services are extremely valuable, this approach also opens the door to the development of many other types of web services. This implementation of web services combined with a visualization client represents incremental positive progress in transitioning national data sources like BioSense and NPDS to a federated data exchange model. keywords: biosurveillance; center; data; health; poison; services; visualization; web cache: ojphi-2920.pdf plain text: ojphi-2920.txt item: #68 of 1513 id: ojphi-2941 author: Kshitij Naval title: ojphi-2941 date: 2010-04-09 words: 710 flesch: 30 summary: Recent experiences in disaster management, involving SARS, Hurricane Katrina, and the H1N1 influenza threat, demonstrate that public health departments lack access to decision support technologies for COOP planning. In the final article, titled Use of Technology to Support Information Needs for Continuity of Operations Planning, the authors review published studies of information systems and technology projects that are applicable to public health continuity of operations planning. keywords: article; health; systems cache: ojphi-2941.pdf plain text: ojphi-2941.txt item: #69 of 1513 id: ojphi-3012 author: None title: ojphi-3012 date: 2010-12-21 words: 8401 flesch: 41 summary: First, are there any significant differences in students‘ online course experiences (pragmatic, hedonic, sociability and usability) based on their course completion status? The above literature review suggests that poor online course experience (that in turn may arise from a lack of instructors, lack of social interactions, technological problems in the online courses, etc) could de-motivate students and lead them to drop the courses that they had registered for. keywords: courses; environment; experience; health; journal; learning; motivation; online; preparedness; programs; public; students; training; usability; user cache: ojphi-3012.pdf plain text: ojphi-3012.txt item: #70 of 1513 id: ojphi-3028 author: Kshitij title: ojphi-3028 date: 2010-12-23 words: 3828 flesch: 52 summary: Study Limitations: There are several limitations that are inherent with syndrome-based surveillance because of its reliance on health indicator data sources. For 2009, while OTC thermometer sales for 2009 were again visibly correlated, atypical spikes were seen around May, June, and October periods with the onset, escalation, and decline of H1N1 outbreaks. keywords: data; disease; essence; feb; h1n1; health; ili; surveillance; system cache: ojphi-3028.pdf plain text: ojphi-3028.txt item: #71 of 1513 id: ojphi-3031 author: PF Yan, K Kohri title: D2805 - date: 2010-12-21 words: 4146 flesch: 42 summary: Public health users shared information within a secure access-controlled website across regions in the U.S. and among agencies. Methods Sharing Information v. Sharing Data Based on the types of public health disease information that is used for community disease surveillance, patient health-indicator data can be categorized in two fundamental ways: data and information. keywords: disease; h1n1; health; inauguration; information; infoshare; sharing; surveillance; users cache: ojphi-3031.pdf plain text: ojphi-3031.txt item: #72 of 1513 id: ojphi-3041 author: EDWARD title: ojphi-3041 date: 2011-01-04 words: 4092 flesch: 39 summary: The development of a method to convert specimen based data to patient based data is planned. We describe DIAL, (Data Integration for Alberta Laboratories), a platform allowing laboratory data to be extracted, interpreted, collated and analyzed in near real-time using secure web based technology, which is adapted from CNPHI`s Canadian Early Warning System (CEWS) technology. keywords: data; dial; health; informatics; laboratory; lis; platform; public; surveillance; system; test; time cache: ojphi-3041.pdf plain text: ojphi-3041.txt item: #73 of 1513 id: ojphi-3179 author: Lisa Gualtieri title: ojphi-3179 date: 2010-12-21 words: 2269 flesch: 53 summary: Throughout the flu response and boil water order, they posted dates on their websites, but in a non-emergency she said it is a challenge to keep an entire website updated. I was curious if Boston residents who drank tap water during the emergency expressed health concerns. keywords: crisis; emergency; health; public; twitter; water cache: ojphi-3179.pdf plain text: ojphi-3179.txt item: #74 of 1513 id: ojphi-3210 author: drevere title: Northwest Public Health Information Exchange’s Accomplishments in Connecting a Health Information Exchange with Public Health date: 2010-10-26 words: 5141 flesch: 32 summary: Keywords: Data Collection; Electronic Health Records; Health Information Exchange; Information Management; Medical Record Linkage; Public Health The Northwest Public Health Information Exchange’s Accomplishments in Connecting a Health Information Exchange with Public Health 2 Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.2, No. 2, 2010 Introduction The Situational Awareness project’s goals are to connect public health with health information exchanges (HIEs) to improve public health’s real-time understanding of communities’ population health and healthcare facility status. The Situational Awareness project’s goals are to connect public health with health information exchanges (HIEs) to improve public health’s real-time understanding of communities’ population health and healthcare facility status. keywords: accomplishments; biosurveillance; data; exchange; health; information; information exchange; northwest; patient; phie; project; public cache: ojphi-3210.pdf plain text: ojphi-3210.txt item: #75 of 1513 id: ojphi-3211 author: drevere title: Methods for Leveraging a Health Information Exchange for Public Health: Lessons Learned from the NW-PHIE Experience date: 2010-10-26 words: 5937 flesch: 36 summary: Collecting Clinical Data and Making it Useful to Public Health: To realize the potential of tapping into INHS’ rich set of clinical data to improve public health surveillance and situational awareness the NW-PHIE project team developed a structured methodology for defining public health’s functional and data requirements and implementing the needed technology solution. Requirements Definition for Public Health: We began with documenting public health’s requirements for collecting clinical data from HIEs. keywords: biosurveillance; data; exchange; experience; health; health information; hl7; information; lessons; messages; phie; project; state cache: ojphi-3211.pdf plain text: ojphi-3211.txt item: #76 of 1513 id: ojphi-3212 author: drevere title: 2010 date: 2010-10-22 words: 3993 flesch: 19 summary: With a focus on health information exchange and public health, topics included biosurveillance, electronic laboratory reporting, broadcast messaging, and notifiable disease surveillance. This poster describes how a public health informatician (PHI) at a HIE identifies and evaluates the quality and quantity of clinical data that is sent to public health. keywords: annual; awareness; biosurveillance; conference; data; exchange; health; hie; information; presentation; public; summary cache: ojphi-3212.pdf plain text: ojphi-3212.txt item: #77 of 1513 id: ojphi-3213 author: Kevin C. Stevens title: Public Health and Health Information Exchange: The Indiana Experience date: 2010-10-26 words: 3081 flesch: 31 summary: Ad-hoc models for sending non-standard clinical information directly to public health are inefficient and increasingly unsustainable. HIE transactions destined for public health were enhanced with standardized clinical vocabulary and more complete physician contact information. keywords: awareness; data; exchange; health; hie; indiana; information; public; support cache: ojphi-3213.pdf plain text: ojphi-3213.txt item: #78 of 1513 id: ojphi-3214 author: Roland Gamache title: Development and Assessment of a date: 2010-10-26 words: 5278 flesch: 48 summary: An HIE is an organized entity, often a legal corporation, that specializes in facilitating electronic exchange of health information among a diverse group of often competing health care system stakeholders, including hospitals, laboratories, and physician practices.[6, 7] A recent survey reported that as many as one-third of community HIEs may involve data exchange with public health agencies.[8] We hypothesize that public health agencies may more efficiently communicate with health care providers if HIE infrastructure is leveraged to deliver public health provider alerts. Local health departments have traditionally used labor-intensive, mail-based processes to send public health alerts to the provider community. keywords: alert; community; exchange; health; information; messages; providers; public; syphilis; system cache: ojphi-3214.pdf plain text: ojphi-3214.txt item: #79 of 1513 id: ojphi-3217 author: Kevin C. Stevens title: Public Health/Health Information Exchange (HIE) Collaborative date: 2010-10-29 words: 955 flesch: 30 summary: Public Health/Health Information Exchange (HIE) Collaborative Public Health/ Health Information Exchange Collaborative: A Model for Advancing Public Health Practice 1 Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.2, No. 2, 2010 Public Health/ Health Information Exchange Collaborative: After careful consideration, it was determined that many key aspects of surveillance could be enhanced through Health Information Exchange (HIE) interactions. keywords: collaborative; health; osels; public cache: ojphi-3217.pdf plain text: ojphi-3217.txt item: #80 of 1513 id: ojphi-3219 author: dehasnem title: ojphi-3219 date: 2010-10-30 words: 1006 flesch: 33 summary: The awardees were charged with investigating and developing methods for sharing information between public health and clinical practitioners to support situational awareness and case reporting. By facilitating communication between public health and clinical stakeholders the projects have the potential to improve process efficiency, reduce costs, and provide quality data on notifiable disease conditions to public health for the development of surveillance systems. keywords: exchanges; health; information; stakeholders cache: ojphi-3219.pdf plain text: ojphi-3219.txt item: #81 of 1513 id: ojphi-3225 author: mfallon title: Generation of Analysis of Personal Contact Graphs Models for use in Infection Control date: 2010-12-23 words: 4775 flesch: 47 summary: As the social dynamics and agent behaviours coupled with real data (economic, cultural, and social) become better defined, the computer simulation naturally allows one to focus on the population subsets and apply the framework to other jurisdictions. ABMs are particularly well suited to system modeling in which agent behaviour is complex, non-linear, stochastic, and may exhibit memory or path-dependence [10][11][12]. keywords: abm; agent; balancing; crowdinforming; departments; emergency; health; load; modeling; public; simulation cache: ojphi-3225.pdf plain text: ojphi-3225.txt item: #82 of 1513 id: ojphi-3348 author: bgmille title: ojphi-3348 date: 2010-12-23 words: 4940 flesch: 42 summary: Extant data from multiple sources with conformed definitions are organized into the warehouse: demographic/population data at the census tract level; mortality; pregnancies; births; hospital discharges; emergency room visits; behavioral risk factor survey data (regional and county level only); cancer incidence and treatment data; and other miscellaneous social, economic, and health related data available at various levels of granularity. However, the trend in most states is toward more, not fewer, restrictions on access to health outcome data. keywords: analytics; catch; community; county; data; health; informatics; issn; level; public; system; training cache: ojphi-3348.pdf plain text: ojphi-3348.txt item: #83 of 1513 id: ojphi-3349 author: Lansoft title: Abstract date: 2011-06-07 words: 791 flesch: 34 summary: Information generated from the monitoring process enabled local public health practitioners to have an enhanced understanding of the magnitude of different ILI outbreaks in their jurisdictions, leading to the development of improved response and control measures for the novel 2009 H1N1 influenza outbreak. Advances in information technology and software development have made it cost-effective to provide powerful and flexible analytic capability to local public health units. keywords: health; journal; public cache: ojphi-3349.pdf plain text: ojphi-3349.txt item: #84 of 1513 id: ojphi-3385 author: ANawal title: ojphi-3385 date: 2011-06-22 words: 2687 flesch: 49 summary: To address this need and ensure adherence to recommended vaccination schedules, immunization registries are increasingly being utilized. This brief defines immunization registries (more recently known as immunization information systems) as population based electronic information systems that minimally capture and report vaccination events. keywords: coverage; health; immunization; registries; registry; utd; vaccination cache: ojphi-3385.pdf plain text: ojphi-3385.txt item: #85 of 1513 id: ojphi-3392 author: Helena title: ojphi-3392 date: 2015-05-20 words: 5091 flesch: 49 summary: It would be useful future research to examine the quantity and format of public health information generated and also examine the information needs of public health professionals, including access issues. Conclusion The OLC was developed by the NHF and has proved to be an efficient resource for users to get obesity information but also to share information with other like-minded colleagues or across affiliations. keywords: centre; health; http://ojphi.org; information; needs; obesity; olc; public; users; website cache: ojphi-3392.pdf plain text: ojphi-3392.txt item: #86 of 1513 id: ojphi-3506 author: None title: ojphi-3506 date: 2015-05-18 words: 2718 flesch: 38 summary: In certain situations identifying or developing public health informatics applications to alert a community at risk using web forums and other forms of social media could be useful. Black bars indicate onset of symptoms in cases (clinical and lab confirmed) (n=225); grey bars indicate web forum postings by racers or organizers specifically regarding illness in racers (n=58); white bars indicate number of responses to the questionnaire for which time stamps were available (n=506). keywords: forum; health; investigation; outbreak; public; questionnaire; race; web cache: ojphi-3506.pdf plain text: ojphi-3506.txt item: #87 of 1513 id: ojphi-3514 author: EDWARD title: Innovative technology for web-based data management during an outbreak date: 2015-05-20 words: 5351 flesch: 45 summary: In the spring of 2009, Web Data technology was put to test to assist with data management during the 2009-2010 H1N1 influenza pandemic. The ProvLab team used a local instance of Web Data technology which enabled them to include nominal information, i.e. the physical hardware resided within ProvLab infrastructure. keywords: access; data; database; health; information; laboratory; management; outbreak; public; technology; web cache: ojphi-3514.pdf plain text: ojphi-3514.txt item: #88 of 1513 id: ojphi-3520 author: . title: Paper details date: 2011-11-07 words: 9200 flesch: 45 summary: This work develops a simulation model based on a process control strategy that relies on crowdinforming as an input; it is one of the first efforts at using real ED data in a feedback control manner to better understand the outcome of making real-time ED data available to the general public. Results: As in reality, the data available and subsequent model demonstrated that there are many factors that impact ED patient flow. keywords: arrival; balancing; busyness; control; crowdinforming; data; department; emergency; health; load; los; patient; process; public; rates; time cache: ojphi-3520.pdf plain text: ojphi-3520.txt item: #89 of 1513 id: ojphi-3561 author: Ryan Shaw title: ojphi-3561 date: 2015-05-19 words: 4005 flesch: 51 summary: Questions related to Internet use, types of health information sought online, and online health seeking behaviors were adapted (23). More than 25% of US adults over 50 stay connected using online social networking sites (2010). keywords: diabetes; health; information; internet; media; networking; online; people; social; use cache: ojphi-3561.pdf plain text: ojphi-3561.txt item: #90 of 1513 id: ojphi-3602 author: febiana title: ojphi-3602 date: 2011-11-09 words: 4376 flesch: 50 summary: [[3]], emphasize the significance of health statistics for public health decision-making. Health statistics are needed to assess population health, plan, implement and evaluate the effectiveness of health program, and allocate health resources keywords: health; indonesia; information; menus; public; statistics; websites cache: ojphi-3602.pdf plain text: ojphi-3602.txt item: #91 of 1513 id: ojphi-3607 author: . title: Paper details date: 2011-11-07 words: 6300 flesch: 48 summary: Introduction Complex networks underlie the transmission dynamics of many epidemiological models of disease spread, in particular agent based models (ABM). In cases where precise contact network data is unavailable, an alternative is to mine data as done by EpiSimS [4] which uses United States Department of Transportation information to estimate the schedules of the agents in several metropolitan areas. keywords: abm; agent; contact; data; disease; figure; fusion; health; models; morden; network; simulation; spread; time; validation cache: ojphi-3607.pdf plain text: ojphi-3607.txt item: #92 of 1513 id: ojphi-3631 author: None title: ojphi-3631 date: 2011-11-07 words: 16318 flesch: 55 summary: [67] Saffin K, Macfarlane A. How well are parent held records kept and completed? In contrast to mother and child records, most other patient held records have not shown to be of significant benefit to either the patient or the healthcare provider (Tables 6 and 9). keywords: card; child health; child healthcare; child records; countries; health; health care; health information; health records; healthcare; healthcare providers; http://ojphi.org/; information; information needs; issn; journal; maternal; mothers; patient; phr; pmid; providers; public; pubmed; results; review; studies; study; use; women cache: ojphi-3631.pdf plain text: ojphi-3631.txt item: #93 of 1513 id: ojphi-3655 author: Lansoft title: Crowdinforming During Public Health Emergencies: A Commentary date: 2011-06-22 words: 1948 flesch: 52 summary: At the same time, one would not want the mildly ill but contagious, coughing influenza patient to ride public transportation for an hour then wait in an ED infecting others. Even during a pandemic, the majority of ED patients are there for other emergencies. keywords: care; crowdinforming; health; influenza; pandemic; patients; public; waiting cache: ojphi-3655.pdf plain text: ojphi-3655.txt item: #94 of 1513 id: ojphi-3656 author: cphiguest title: Introduction date: 2015-05-27 words: 7330 flesch: 45 summary: A group from the CDC proposed use of XForms as a part of the framework for public health form creation and management (46). We successfully transferred information between provider electronic health record systems and public health systems for notifiable condition reporting. keywords: alerting; case; communication; condition; data; development; health; health case; http://ojphi.org; information; journal; patient; provider; public; reporting; standard; systems; use; xforms cache: ojphi-3656.pdf plain text: ojphi-3656.txt item: #95 of 1513 id: ojphi-3684 author: rblackmore title: ojphi-3684 date: 2012-05-17 words: 3284 flesch: 45 summary: Keywords: consumer health information, patients, Internet, usability of health information Introduction The current Internet landscape offers health care consumers copious websites devoted to providing health information. Consumer health information seeking as hypothesis testing. keywords: care; consumers; health; information; internet; patient cache: ojphi-3684.pdf plain text: ojphi-3684.txt item: #96 of 1513 id: ojphi-3721 author: Valued Acer Customer title: {{}} date: 2011-11-07 words: 3744 flesch: 47 summary: Efforts to develop the use of the EMR as a tool for patient centered care should embrace not just physicians and nurses, but also other clinical providers such as pharmacists. It is essential to develop the full potential of EMR implementation if the EMR is to actively support the paradigm of patient centered care. keywords: care; chief; complaint; emr; encounter; health; medical; patient; record cache: ojphi-3721.pdf plain text: ojphi-3721.txt item: #97 of 1513 id: ojphi-3792 author: Brian E. Dixon title: ojphi-3792 date: 2015-09-11 words: 4980 flesch: 45 summary: Our findings and lessons learned should contribute to future research and policies that will improve data quality, utilization of available data sources, and the effectiveness of public health information systems. This can lead to suboptimal outcomes beyond those described above, including failed implementations of public health information systems and inefficiencies in data collection and analyses. keywords: data; health; health informatics; http://ojphi.org; informatics; practice; processes; public; quality; sources; surveillance; systems cache: ojphi-3792.pdf plain text: ojphi-3792.txt item: #98 of 1513 id: ojphi-3793 author: Office of Extramural Programs title: PHS 398 (Rev. 06/09), Continuation Page date: 2015-09-09 words: 7003 flesch: 49 summary: 2.2.1.1.1 Training and Testing Data for Case Detection Evaluation In this study, we used ED reports from UPMC Heath System to measure the CDS performance for influenza case detection. Additionally, augmenting the expert’s conditional probability distributions used in the model with empirical data about the distributions improves the diagnostic accuracy for influenza case detection. keywords: bayesian; case; case detection; cds; data; detection; disease; health; influenza; informatics; laboratory; model; network; patient; public; reports; surveillance; system cache: ojphi-3793.pdf plain text: ojphi-3793.txt item: #99 of 1513 id: ojphi-3794 author: None title: OJPHI: Vol. 3 Issue 3: date: None words: 2678 flesch: 32 summary: We created the Electronic medical record Support for Public Health (ESP) system to facilitate and demonstrate the potential advantages of harnessing EMRs for public health surveillance. Real-time surveillance for tuberculosis using electronic health record data from an ambulatory practice in eastern MassachusettsPublic Health Rep 2010;125(6):843–850. keywords: care; data; diabetes; disease; esp; health; population; public; surveillance cache: ojphi-3794.htm plain text: ojphi-3794.txt item: #100 of 1513 id: ojphi-3797 author: Elissa Weitzman title: ojphi-3797 date: 2015-09-16 words: 5067 flesch: 52 summary: Conclusions: Rapid assessment of diabetes care practices using a novel, SN-mediated approach can extend the capability of standard health surveillance systems. Recommended diabetes preventive care practices were defined consistent with the 2010 American Diabetes Association (ADA) clinical practice recommendations, and included any history of a pneumonia vaccination, and past year history of an influenza vaccination, dilated eye exam, foot exam, and lipid profile (cholesterol check) (8). keywords: brfss; care; diabetes; health; online; practices; respondents; self; social; surveillance; tuanalyze; type; year cache: ojphi-3797.pdf plain text: ojphi-3797.txt item: #101 of 1513 id: ojphi-3798 author: Office of Extramural Programs title: PHS 398 (Rev. 06/09), Continuation Page date: 2015-09-11 words: 6096 flesch: 47 summary: It automatically generates decision models of control strategies, which can then be compared interactively by a user. The above approach could be applied to other diseases and it can be generalized to use other types of epidemic models, including segmented compartment models and agent-based models. keywords: bayesian; cds; control; data; decision; disease; epidemic; health; http://ojphi.org; influenza; models; patient; probabilistic; public; surveillance cache: ojphi-3798.pdf plain text: ojphi-3798.txt item: #102 of 1513 id: ojphi-3800 author: None title: ojphi-3800 date: 2011-11-07 words: 3453 flesch: 45 summary: The present study used a model in which available communication infrastructure was used to extend quality dental treatment to underserviced areas. This suggests that telemedicine has the potential to improve access to quality dental care for rural populace. keywords: dentures; health; india; journal; oral; quality; study; treatment cache: ojphi-3800.pdf plain text: ojphi-3800.txt item: #103 of 1513 id: ojphi-3818 author: Peter title: ojphi-3818 date: 2015-09-18 words: 3332 flesch: 26 summary: Additionally, more than 90 percent of health center patients nationally are low- income, approximately two-third of patients are non-white and one-quarter of health center patients prefer services in languages other than English, and may require translation and language support.[4] Over the course of the last several years, community health centers have embraced the use of information technology to manage patient records, facilitate inter- and intra-facility referrals, expedite public health and grant-related reporting, and measure health care and operational outcomes.[5] Since taking office in January 2009, President Obama has prioritized the diffusion of health information technology (HIT) and funded substantial HIT investments in the general health care provider community and in community health centers in particular.[6] keywords: care; center; community; disaster; health; information; joplin; planning; tornado cache: ojphi-3818.pdf plain text: ojphi-3818.txt item: #104 of 1513 id: ojphi-3832 author: Cynthia Tucker title: ojphi-3832 date: 2011-11-07 words: 4986 flesch: 42 summary: A Public Health Imperative Cynthia A. Tucker, PhD., MBA., RD., LDN., 1 Stephanie N. Larkin, B.S., MBAc, 2 Timothy A. Akers, M.S., Ph.D. 3 1 Nutritional Science Program, School of Community Health and Policy, Morgan State University 2 School of Business, Morgan State University 3 School of Computer, Mathematical and Natural Sciences, and Center for Health Informatics, Planning and Policy (CHIPP), Morgan State University Abstract To date, little has been written about the implementation of utilizing food safety informatics as a technological tool to protect consumers, in real-time, against foodborne illnesses. To date, little has been written about the implementation of utilizing food safety informatics as a technological tool to protect consumers, in real-time, against foodborne illnesses. keywords: data; food; food safety; foodborne; health; imperative; informatics; public; safety; safety informatics; technology; time cache: ojphi-3832.pdf plain text: ojphi-3832.txt item: #105 of 1513 id: ojphi-3849 author: Brian E. Dixon title: ojphi-3849 date: 2015-09-25 words: 9107 flesch: 50 summary: Outreach librarians, as well as others invested in seeing clinicians utilize http://ojphi.org Improving Access to HIV and AIDS Information Resources for Patients, Caregivers, and Clinicians: Results from the SHINE Project 12 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.4, No. 1, 2012 information resources to improve patient outcomes, need to do more to educate health professionals on locating, accessing, and utilizing health information resources. Established through the Medical Library Assistance Act of 1965, the National Network of Libraries of Medicine member libraries and information centers provide health professionals and the general public with health information resources and services (54). keywords: access; aids; care; caregivers; clinicians; consumers; epub; health; hiv; information; information resources; journal; patients; plwha; project; public; resources; results; shine; site; testing; usability cache: ojphi-3849.pdf plain text: ojphi-3849.txt item: #106 of 1513 id: ojphi-3855 author: dehasnem title: ojphi-3855 date: 2011-11-08 words: 1440 flesch: 32 summary: The study shows that that pregnant women and mothers from all different societies prefer to receive health information from a person, whether a healthcare provider, a friend, or family member. They cover articles that use XForms standards to demonstrate bi- directional communication between provider and public health systems, explore the migration of hand-held health records from paper-based systems to electronic formats to track health risks in developing countries, utilize agent based models to study the spread of infectious diseases within communities, explore crowdinforming as a process control strategy to balance patient loads among emergency departments, analyze the use of food safety informatics as a technological tool to protect consumers in real time against foodborne illnesses, demonstrate the efficacy of the use of telemedicine to remotely supervise newly graduated general dentists in rural India, identify the factors that facilitate the adoption web-based health portals for health statistics dissemination in Indonesia, and explore patient-centric modifications to the electronic medical records architecture. keywords: health; information; paper; records; use cache: ojphi-3855.pdf plain text: ojphi-3855.txt item: #107 of 1513 id: ojphi-3856 author: Wongyu kim title: ojphi-3856 date: 2011-11-07 words: 5847 flesch: 42 summary: Hospitals, labs, and clinics have different data systems in each country. Therefore, incidence and prevalence of disease data must include location, including longitude and latitude. keywords: aricaba; caribbean; data; development; diseases; health; infectious; information; martinique; network; public; surveillance; surveillance system; system cache: ojphi-3856.pdf plain text: ojphi-3856.txt item: #108 of 1513 id: ojphi-3892 author: Stephen M Downs title: Project 1 date: 2015-09-16 words: 5809 flesch: 53 summary: Data in public health information systems often come The Last Mile: Using Fax Machines to Exchange Data between Clinicians and Public Health 2 Online Journal of Public Health Informatics * Clearly there is a need for electronic communications between public health systems and clinicians. keywords: care; clinicians; data; exchange; fax; health; hl7; immunization; information; machines; messages; patient; public; screening; system cache: ojphi-3892.pdf plain text: ojphi-3892.txt item: #109 of 1513 id: ojphi-3897 author: Gadsden-Knowles, Kim (CDC/OSELS/PHITPO) title: ojphi-3897 date: 2011-12-22 words: 995 flesch: 23 summary: Rocky Mountain Center for Translational Research in Public Health Informatics Utah’s research activities include implementing a visual analytic and decision support system to enhance community health assessment and public health surveillance and deploying new methods and models from computer science, social and behavioral sciences and other disciplines to represent knowledge and exchange information relevant to public health practice. The Centers of Excellence in Public Health Informatics: Improving Public Health through Innovation, Collaboration, Dissemination, and Translation E. Lee Husting PhD, MPH 1 , Kim Gadsden-Knowles MS, MPH 1 1 Division of Informatics Practice, Policy, and Coordination, Public Health Informatics and Technology Program Office, Office of Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention MeSH key words: public health informatics, translational research The Centers for Disease Control and Prevention (CDC) Centers of Excellence in Public Health Informatics (CoE) program was established to advance the research and practice of public health informatics through several collaborative efforts (1). keywords: centers; health; informatics; public cache: ojphi-3897.pdf plain text: ojphi-3897.txt item: #110 of 1513 id: ojphi-3903 author: None title: ojphi-3903 date: 2015-09-16 words: 7635 flesch: 32 summary: Figure 3: Example business processes and logic required to communicate reporting requirements and implement public health reporting within a laboratory http://ojphi.org Evaluation of knowledge resources for public health reporting logic: Implications for knowledge authoring and management 11 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.3, No. 3, 2011 To manage public health reporting in the laboratories, we identified three distinct processes that each use a different set of knowledge (Figure 3). Evaluation of knowledge resources for public health reporting logic: Implications for knowledge authoring and management 1 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.3, No. 3, 2011 Evaluation of knowledge resources for public health reporting logic: Implications for knowledge authoring and management Catherine J Staes, BSN, MPH, PhD 1 , Rita Altamore, MD 2 , Eun Gyoung Han, MS 1 , Susan Mottice, PhD 3 , Deepthi Rajeev, MS 1 , Richard Bradshaw, MS 1 1 Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah 2 Washington State Department of Health, Olympia, Washington 3 Utah Department of Health, Salt lake City Utah. keywords: criteria; health; health reporting; hepatitis; http://ojphi.org; knowledge; laboratory; logic; management; position; public; reportable; reporting; statements cache: ojphi-3903.pdf plain text: ojphi-3903.txt item: #111 of 1513 id: ojphi-3904 author: Warren Pettey title: ojphi-3904 date: 2015-09-16 words: 7457 flesch: 33 summary: We adapted and applied this phase concept to public health informatics research arguing that the corollary is to transition public health informatics research and innovation “from campus to field.” In this manuscript, we describe the Rocky Mountain Center of Excellence in Public Health Informatics (RMC) and put it forward as an illustrative example of a framework for successful innovation partnership between public health and academia in Utah. keywords: collaboration; data; epinome; health; health informatics; informatics; innovation; partnerships; practice; public; research; researchers; rmc; space; stage; system; university; utah cache: ojphi-3904.pdf plain text: ojphi-3904.txt item: #112 of 1513 id: ojphi-3910 author: Bruce title: ojphi-3910 date: 2015-09-23 words: 7884 flesch: 46 summary: MoTeCH also automates the aggregation of health status and health service delivery information for routine reports. Frontline health workers in Ghana use five large 11x17 inch notebooks, termed “registers” by the GHS, for recording health service delivery information. keywords: care; client; community; community health; data; ghana; health; health care; http://ojphi.org; information; mobile; motech; phone; software; system; technology cache: ojphi-3910.pdf plain text: ojphi-3910.txt item: #113 of 1513 id: ojphi-3915 author: jque title: Will spatial algorithms fail to detect disease outbreaks during a pandemic date: 2015-09-25 words: 5898 flesch: 58 summary: Given spatial- temporal algorithms for outbreak detection are widely used, this paper suggests that epidemiologists or public health officials would benefit by applying time series algorithms as a complement to spatial algorithms for public health surveillance. The common statistical models for spatial detection algorithms include the likelihood ratio (used in KSS and FSS) and the Bayesian posterior probability (used in BSS and RSC). keywords: algorithm; cluster; data; evaluation; h1n1; health; outbreak; pandemic; region; thermometer; time cache: ojphi-3915.pdf plain text: ojphi-3915.txt item: #114 of 1513 id: ojphi-3936 author: Maria title: Convenience Stores are Associated with Early Childhood Obesity among Children in Low-Income Households date: 2015-09-23 words: 6241 flesch: 52 summary: Associations of neighborhood characteristics with location and type of food stores. Food store availability and neighborhood characteristics in the United States. keywords: angeles; childhood; children; convenience; county; environment; food; health; los; obesity; participants; public; stores; supermarkets; wic cache: ojphi-3936.pdf plain text: ojphi-3936.txt item: #115 of 1513 id: ojphi-3988 author: Your User Name title: ojphi-3988 date: 2015-10-14 words: 10361 flesch: 47 summary: In the context of HIV interventions, the importance of this http://ojphi.org/ Contextual Mediators influencing the Effectiveness of Behavioural Change Interventions: A Case of HIV/AIDS Prevention Behaviours 3 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.4, No. 2, 2012 must not be underestimated, since the social context significantly influences ones sexual behaviours http://ojphi.org/ Contextual Mediators influencing the Effectiveness of Behavioural Change Interventions: A Case of HIV/AIDS Prevention Behaviours 16 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.4, No. 2, 2012 4.2 Implications for Interventionists and Researchers 4.2.1 HIV Interventionists The identified contextual factors influencing the youth’s sexual behaviour and attitudes have implications for the implementation of HIV interventions. keywords: aids; aids prevention; behaviours; case; change; condom; effectiveness; girls; health; hiv; individual; interventions; mediators; norms; prevention; risk; sex; use; women; youth cache: ojphi-3988.pdf plain text: ojphi-3988.txt item: #116 of 1513 id: ojphi-4005 author: Preferred Customer title: Introduction date: 2015-10-07 words: 5181 flesch: 49 summary: Burton, et al., studied the prevalence of metabolic syndrome in a financial services company employing over 5,500 people, and found that the 22.6% with metabolic syndrome were more likely to have increased days absent from work due to illness, poorer self-reported health perception, and report more lifestyle health risks, such as smoking, a sedentary lifestyle, and stress [3]. Effectiveness of worksite wellness programs To address the financial burden of unhealthy workers, effective health promotion programs are ideal for a company’s budget. Not only can worksite wellness programs decrease a company’s healthcare costs, but they can also improve worker productivity, and so further decrease organizational costs. keywords: blood; bmi; cholesterol; design; health; metabolic; participants; program; risk; study; weight; worksite cache: ojphi-4005.pdf plain text: ojphi-4005.txt item: #117 of 1513 id: ojphi-4011 author: admin title: ojphi-4011 date: 2012-05-17 words: 6223 flesch: 46 summary: The recent use of 2D code technology for patient identification applications within the hospital environment provides a significant improvement of all health care related identification applications [12]. [10] The Methodist Hospital System: Upgrade to bar code identification of patients yields significant process and safety gains. keywords: care; centers; code; data; health; health care; identification; patient; rfid; system; technology; use cache: ojphi-4011.pdf plain text: ojphi-4011.txt item: #118 of 1513 id: ojphi-4017 author: localuser title: ojphi-4017 date: 2015-09-25 words: 8340 flesch: 53 summary: This increase has attracted some local and international organisations to implement HIV interventions targeting young people, of which the World Starts With Me (WSWM) the intervention evaluated in this study is one of such interventions. Paired sample t-tests have also been effectively used by other researchers (Jahanfar et al 2009) evaluating HIV interventions that involved the pre-test and post-test assessments. keywords: aids; attitudes; behaviors; comparison; computer; condom; group; health; hiv; intervention; knowledge; post; pre; students; test; use cache: ojphi-4017.pdf plain text: ojphi-4017.txt item: #119 of 1513 id: ojphi-4022 author: Roddy title: ojphi-4022 date: 2015-09-18 words: 6051 flesch: 38 summary: Increasingly medical records are moving towards being held electronically in point-of-care systems, and this makes abstracting public health data automatically relatively easy. There is plenty of analysis as to why data quality may be poor, and prominent amongst the factors is the lack of clinician involvement as well as poor working arrangements between clinical, ward, records and coding staff. keywords: care; data; development; health; information; infrastructure; principles; public; quality; services; systems cache: ojphi-4022.pdf plain text: ojphi-4022.txt item: #120 of 1513 id: ojphi-4027 author: M.Mirza title: Building the Foundations of an Informatics Agenda for Global Health—2011 Workshop Report date: 2015-09-18 words: 8006 flesch: 33 summary: Track discussions examined the evidence base and the participants’ experience to gather information about the current status, compelling and potential benefits, challenges, barriers, and gaps for global health informatics as well as document opportunities and recommendations. The goals of the working group could be to identify strategic goals and priorities for global health informatics, and create an inventory of informatics standards, knowledge and best practices. keywords: agenda; building; capacity; development; foundations; global; health; health informatics; http://ojphi.org; informatics; informatics agenda; knowledge; policy; report; resources; standards; support; systems; workshop cache: ojphi-4027.pdf plain text: ojphi-4027.txt item: #121 of 1513 id: ojphi-4186 author: None title: ojphi-4186 date: 2012-09-14 words: 3573 flesch: 33 summary: The Global Laboratory Directory Mapping tool (GLaDMap) supports the efforts of laboratory networks to improve their connectivity by providing a simple and efficient tool to profile laboratories by geographic location, function or expertise. GLaD strives to connect laboratory networks and their member laboratories to a global peer network. keywords: gladmap; health; laboratories; laboratory; networks; public; search; system cache: ojphi-4186.pdf plain text: ojphi-4186.txt item: #122 of 1513 id: ojphi-4190 author: Sameer Pujari title: TITLE : date: 2015-10-07 words: 6328 flesch: 43 summary: This model (Figure 2.2) was designed for countries with experience in electronic data collection systems and a wide reach of access to wireless Internet, which was considered a relatively high level of infrastructure and technical capacity. Questionnaire Programming using GSS IDE Case File Creation using GSS IDE Setup Handhelds Quality Control Conduct training, Load case file and distribute handhelds Collect and Transmit data to Regional / National data center Supervisor Monitors Interview Process Create Master National dataset & reports using GSS IDE Conduct field work Provide feedback Review data and provide feedback Send final Master aggregated file and Master sdf file to DCC End of data collection Start Post data collection process Translate finalized questionnaire Develop, review and finalize Questionnaire PROCESS DIAGRAM : GATS Data collection activities Quality Control Figure 2.1: Process diagram: GATS data collection activities The process of programming the questionnaire, planning and testing the data collection started after the questionnaire instrument and the sample keywords: adult; collection; computers; control; countries; country; data; data collection; gats; global; handheld; health; management; national; public; survey; system; tobacco; use; vol.4 cache: ojphi-4190.pdf plain text: ojphi-4190.txt item: #123 of 1513 id: ojphi-4191 author: Kusi title: ojphi-4191 date: 2012-09-14 words: 6047 flesch: 49 summary: Ghana Health Informatics: Past and Present Health informatics in Ghana is at the infant stages. The establishment of a Centre for Health Information at central level Health Management Information Systems The use of health management information system is not widespread. keywords: communication; ghana; health; health informatics; hospitals; ict; information; internet; management; mobile; online; state; system; technology; use cache: ojphi-4191.pdf plain text: ojphi-4191.txt item: #124 of 1513 id: ojphi-4198 author: None title: ojphi-4198 date: 2012-09-14 words: 7097 flesch: 46 summary: Quality and integration of public health information systems: A systematic review focused on immunization and vital records systems 1 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.4, No. 2, 2012 Quality and integration of public health information systems: A systematic review focused on immunization and vital records systems Joshua R Vest 1 , Hilary M Kirk 2 , L Michele Issel 2 1 Weill Cornell Medical College, New York, NY 2 University of Illinois at Chicago, School of Public Health, Chicago, IL Abstract Objectives: Public health professionals rely on quantitative data for the daily practice of public health as well as organizational decision making and planning. data exchanged by public health http://ojphi.org/ Quality and integration of public health information systems: A systematic review focused on immunization and vital records systems 2 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.4, No. 2, 2012 practitioners on childhood immunizations are not only used to determine if specific individuals are up-to-date on vaccinations, but as a core public health indicator, are essential for population health surveillance and for conducting quality improvement processes. keywords: data; death; health; iis; immunization; information; information systems; integration; journal; public; pubmed; quality; records; review; systems; vital cache: ojphi-4198.pdf plain text: ojphi-4198.txt item: #125 of 1513 id: ojphi-4213 author: Osama Chaudhary title: ojphi-4213 date: 2012-09-14 words: 3902 flesch: 33 summary: Upon consulting with representatives from Sacramento County Department of Health and Human Services, El Dorado County Health Department, Nevada County Health Department, Placer County Health Department, Sutter County Health Department, and Yuba County Health Department, it was agreed that a greater Sacramento area collaborative effort at both participating in BioSense 2.0 and applying for the BioSense 2.0 Funding Opportunity would be preferable to attempting these efforts at individual county levels. Developing the Foundation for Syndromic Surveillance and Health Information Exchange for Yolo County, California 1 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.4, No. 2, 2012 Developing the Foundation for Syndromic Surveillance and Health Information Exchange for Yolo County, California Osama Chaudhary, MPH 1,2,3 1 University of Illinois at Chicago, School of Public Health 2 Yolo County Health Department 3 Sacramento County Department of Health and Human Services Abstract This report delineates Yolo County Health Department’s process to ascertain its optimal methods of participation in syndromic surveillance and health information exchange. keywords: county; department; exchange; health; information; sacramento; surveillance; use; yolo; yolo county cache: ojphi-4213.pdf plain text: ojphi-4213.txt item: #126 of 1513 id: ojphi-4238 author: V title: ojphi-4238 date: 2015-11-18 words: 7965 flesch: 44 summary: Conclusion: Understanding the variables that impact information system use in the context of public health can increase the likelihood that a system will be successfully implemented and used, consequently, positively impacting the health of the public. This can therefore be an implementation barrier and for this reason in examining use, it is critical to examine this potential barrier to system use. keywords: health; immunization; information; model; peou; public; registry; study; system; usage; use; variables cache: ojphi-4238.pdf plain text: ojphi-4238.txt item: #127 of 1513 id: ojphi-4241 author: Mensah, Edward title: ojphi-4241 date: 2012-09-14 words: 994 flesch: 33 summary: In this issue Osama Chaundhary, a recent MPH graduate of the public health informatics program at the school of public health, the University of Illinois at Chicago, explores the foundations for integrating syndromic surveillance development into the implementation of health information exchange at Yolo County Health Department, California. The authors suggest that the addition of an optional functionality to protect the privacy and security of health information would improve the participation of laboratories in GlaDMap. keywords: countries; data; health; information cache: ojphi-4241.pdf plain text: ojphi-4241.txt item: #128 of 1513 id: ojphi-4267 author: def title: ojphi-4267 date: 2013-01-08 words: 3412 flesch: 41 summary: Support should continue for the creation of bi-directional EHR systems (or add-on modules) in which HIV/AIDS information can be entered as well as accessed and utilized by public health information practitioners. “Threats to health care information can be categorized under three headings:  keywords: aids; ehrs; health; hiv; information; knowledge; management; prevention; public cache: ojphi-4267.pdf plain text: ojphi-4267.txt item: #129 of 1513 id: ojphi-4270 author: Kamran Sedig title: ojphi-4270 date: 2015-11-18 words: 9847 flesch: 44 summary: What is needed is a clear understanding of how users of PHI tools engage in a dynamic discourse with public health information in order to assess the health of populations and communities, reason about causal chains that lead to disease, plan immunization policies, and perform other public-health-related complex cognitive activities. Public health information spaces are often heterogeneous [35]. keywords: 2012; access; activities; complex; design; figure; health; health informatics; information; interaction; issn; journal; online; phi; public; representations; support; tools; user; vol.4 cache: ojphi-4270.pdf plain text: ojphi-4270.txt item: #130 of 1513 id: ojphi-4275 author: Greer Stevenson title: ojphi-4275 date: 2013-01-08 words: 6621 flesch: 47 summary: Public health systems should leverage the capabilities of CoT (i.e., using XML to update separate, but disparate proprietary systems) to meet the CDC’s capacity goal for data sharing. When speaking of communications between or within an interdisciplinary group like a disaster response team or even the public health system, interoperability must cover proprietary data, sensory, and communication systems. keywords: communication; cot; cursor; data; disaster; health; information; interoperability; medical; network; response; schema; sensor; systems; target; xml cache: ojphi-4275.pdf plain text: ojphi-4275.txt item: #131 of 1513 id: ojphi-4277 author: Blaine Reeder title: Public Health Practice within a Health Information Exchange: Information Needs and Barriers to Disease Surveillance date: 2015-11-18 words: 5482 flesch: 39 summary: Public health information work is data-intensive and requires data from a variety of sources. ISSN 1947-2579 * http://ojphi.org * Vol.4, No. 3, 2012 Public Health Practice within a Health Information Exchange: Information Needs and Barriers to Disease Surveillance Blaine Reeder 1 , Debra Revere 2 , Rebecca A Hills 2 , Janet G Baseman 2 , William B Lober 1 1 School of Nursing, University of Washington, Seattle 2 School of Public Health, University of Washington, Seattle Abstract Introduction: Public health professionals engage in frequent exchange of health information while pursuing the objectives of protecting and improving population health. keywords: barriers; data; disease; exchange; health; health information; information; information exchange; participant; practice; public; surveillance; workers cache: ojphi-4277.pdf plain text: ojphi-4277.txt item: #132 of 1513 id: ojphi-4279 author: None title: ojphi-4279 date: 2015-11-18 words: 4000 flesch: 52 summary: Methods: Oral health data were obtained from the Behavioral Risk Factor Surveillance System (BRFSS). We describe the methodology used to overcome challenges associated with limited availability of oral health data in an effort to make informed inferences about oral health status in the Appalachian region. keywords: appalachian; brfss; data; disparities; health; metropolitan; state cache: ojphi-4279.pdf plain text: ojphi-4279.txt item: #133 of 1513 id: ojphi-4288 author: Henry Doctor title: ojphi-4288 date: 2013-01-08 words: 3590 flesch: 43 summary: Mobile health technologies would require constant power supply and strong network coverage in all communities. This attraction has been influenced by, among other things, the fact that mobile phones are functionally easier to use for people with lower levels of skills than those needed for computers or the internet [6]. keywords: data; health; mobile; nahuche; network; nhdss; nigeria; power; supply cache: ojphi-4288.pdf plain text: ojphi-4288.txt item: #134 of 1513 id: ojphi-4290 author: Michael Popovich title: A Three-Step Approach for Creating Successful Electronic Immunization Record Exchanges date: 2015-11-18 words: 6568 flesch: 47 summary: This paper provides a three-step approach to establish and maintain EHR data exchanges, demonstrates the value of both clinical and technical testing prior to data exchange implementation, and discusses lessons learned. Among the Meaningful Use Stage 1 standards is a requirement to demonstrate that the provider or hospital EHR can send immunization data to an IIS. keywords: clinical; data; ehr; exchange; health; iis; immunization; information; provider; record; step; vaccine cache: ojphi-4290.pdf plain text: ojphi-4290.txt item: #135 of 1513 id: ojphi-4292 author: . title: Paper details date: 2015-11-18 words: 4840 flesch: 43 summary: By measuring correlations between agent parameters and infection outcomes, some trends regarding individual risk can be identified. In this model, a sexual encounter is equated with an infection transmission with some probability (determined by interacting agent parameters). keywords: abm; agent; condom; health; infection; model; population; simulation; spread; use cache: ojphi-4292.pdf plain text: ojphi-4292.txt item: #136 of 1513 id: ojphi-4302 author: None title: ojphi-4302 date: 2013-01-09 words: 12463 flesch: 40 summary: These authors describe how institutional logics are embedded within health information systems implementations. Strategies for developing human resource capacity to support sustainability of ICT based health information systems: a case study from Tanzania. keywords: context; country; data; districts; health; health context; health informatics; hmis; hmis implementation; implementation; information; institutional; journal; logics; management; ministry; mobile; perspective; resolution; server; state; state hmis; system; understanding cache: ojphi-4302.pdf plain text: ojphi-4302.txt item: #137 of 1513 id: ojphi-4303 author: Jeff Williamson title: The Title of the Article date: 2015-11-18 words: 4651 flesch: 55 summary: The Title of the Article Real Time Alert System: A Disease Management System Leveraging Health Information Exchange Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol.4, No. 3, 2012 Real Time Alert System: A Disease Management System Leveraging Health Information Exchange Vibha Anand 1, 2 , Meena E. Sheley 1 , Shawn Xu 1 ,Stephen M. Downs 1, 2 1 Children’s Health Services Research, Indiana University School of Medicine, IN 2 Regenstrief Institute for Health Care, Indianapolis, IN Abstract Background: Rates of preventive and disease management services can be improved by providing automated alerts and reminders to primary care providers (PCPs) using of health information technology (HIT) tools. [4] However, assessment and implementation of evidence based care guidelines in primary care http://ojphi.org/ Real Time Alert System: A Disease Management System Leveraging Health Information Exchange Online Journal of Public Health Informatics * keywords: care; health; information; management; patient; pcp; rta; system; time cache: ojphi-4303.pdf plain text: ojphi-4303.txt item: #138 of 1513 id: ojphi-4304 author: Jack title: ojphi-4304 date: 2013-01-08 words: 6597 flesch: 47 summary: Older Americans with five or more chronic conditions incurred on average $5,300 in prescription drug costs in 2008, while Medicare Part D coverage was being secured. Can electronic medical record systems transform healthcare? keywords: care; cost; drug; health; informatics; issues; journal; medical; patient; pharmacy; physicians; prescribing; public; systems; use cache: ojphi-4304.pdf plain text: ojphi-4304.txt item: #139 of 1513 id: ojphi-4321 author: Rita Orji title: ojphi-4321 date: 2013-01-08 words: 15780 flesch: 44 summary: The designs of most of these interventions are informed by health behavior models and theories adapted from various disciplines. The designs of most of these interventions are informed by health behavior models and theories adapted from various disciplines. keywords: action; barrier; belief model; design; extended; future; hbm; health; health behavior; health belief; health interventions; identity; individual; model; self; susceptibility; variables cache: ojphi-4321.pdf plain text: ojphi-4321.txt item: #140 of 1513 id: ojphi-4325 author: DRAJ title: - date: 2013-01-08 words: 2666 flesch: 43 summary: PHI “is the science of applying Information-Age technology to serve the specialized needs of public health,” 1 and is “the systematic application of information and computer science and technology to public health practice, research, and learning.” 2 PHI utilizes an interdisciplinary approach and methods from various disciplines, including: information science; computer science; management; organizational theory; psychology; communications; political science; law; and public health fields, to make information-driven decisions and present new- knowledge. Public health informatics: Improving and transforming public health in the information age J Public Health Manag Pract. keywords: cloud; computing; data; disparities; health; information; public; sphps cache: ojphi-4325.pdf plain text: ojphi-4325.txt item: #141 of 1513 id: ojphi-4333 author: Mensah, Edward title: ojphi-4333 date: 2013-01-09 words: 2028 flesch: 28 summary: Well-developed and implemented health information systems can improve the coordination of care, reduce duplications and errors, improve access, quality, and reduce costs. However, even in the U.S., less than 50 percent of health information systems are outright successes, delivering the expected functionalities on time and within budget. keywords: data; health; information; journal; systems; use cache: ojphi-4333.pdf plain text: ojphi-4333.txt item: #142 of 1513 id: ojphi-4344 author: Roddy title: ojphi-4344 date: 2013-06-28 words: 4809 flesch: 46 summary: The issue of who should control patient records has at times been contentious. Accessing patient records electronically on demand from a Effective Sharing of Health Records, Maintaining Privacy: A Practical Schema 7 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol. 5, No. 2, 2013 OJPHI workstation that is not part of the data keepers network is at present generally impossible, and shared care is thus effectively limited to within a single institution, excepting where external parties are included by prior agreement and records are forwarded (‘pushed’) to them. keywords: access; care; data; health; patient; privacy; public; records; sharing cache: ojphi-4344.pdf plain text: ojphi-4344.txt item: #143 of 1513 id: ojphi-4363 author: Savel, Tom (CDC/OSELS/PHITPO) title: ojphi-4363 date: 2013-06-28 words: 2899 flesch: 6 summary: Methods: The application was designed leveraging an agile methodology, and best practices in user experience (UX) design and mobile application development. There are several issues that make designing the UI for a mobile phone challenging (not just small screen size): the touchscreen, users' mobile mindset (tasks need to be quick and focused), and the fact that mobile UI conventions/expectations are still being defined and refined (due to the maturity level of the field of mobile application development). keywords: advisor; application; decision; http://www.cdc.gov/osels.lspppo/index.html; http://www.cdc.gov/osels/lspppo/laboratory_medicine_quality_improvement/clihc_fact_sheets.html http://www.cdc.gov/osels/lspppo/laboratory_medicine_quality_improvement/clihc_fact_sheets.html; http://www.fda.gov/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm263280.htm; mobile; ptt cache: ojphi-4363.pdf plain text: ojphi-4363.txt item: #144 of 1513 id: ojphi-4364 author: None title: ojphi-4364 date: 2013-06-28 words: 5498 flesch: 43 summary: 99,000 deaths Abstract The purpose of this study was to evaluate information visualization of publicly-reported central line-associated blood stream infection (CLABSI) outcome data for decision making by diverse target audiences – health care consumers and practitioners. Cognitive interviews of health care consumers have revealed that consumers prefer information that can be reviewed quickly and that is clear at first review. keywords: blood; care; consumers; data; health; infection; informatics; line; public; stream; table; visualization cache: ojphi-4364.pdf plain text: ojphi-4364.txt item: #145 of 1513 id: ojphi-4375 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 718 flesch: 44 summary: The new method has resulted in a greater number of relevant literature articles, from a broader range of disciplines, and in reduced amount of preparation time as com- pared to the results of the previous search method. The RC literature review efforts have provided an opportunity for interprofessional collaboration and have resulted in a repository of over 1,000 articles, but feedback from ISDS members indicated relevant articles were not captured by the existing methodol- ogy. keywords: articles; isds; literature cache: ojphi-4375.pdf plain text: ojphi-4375.txt item: #146 of 1513 id: ojphi-4376 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 814 flesch: 50 summary: ISDS 2012 Conference Abstracts Data Quality: A Systematic Review of the Biosurveillance Literature Tera Reynolds*1, Ian Painter2 and Laura Streichert1 1International Society for Disease Surveillance, Brighton, MA, USA; 2University of Washington, Seattle, WA, USA Objective To highlight how data quality has been discussed in the biosur- veillance literature in order to identify current gaps in knowledge and areas for future research. Data quality has been broadly defined as the de- gree to which data are suitable for use by data consumers [1]. keywords: data; health; quality cache: ojphi-4376.pdf plain text: ojphi-4376.txt item: #147 of 1513 id: ojphi-4377 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 685 flesch: 54 summary: Pearson ’r’ between prescription sales data and Google Flu trends and CDC ILI data Keywords public health; syndromic surveillance; Flu; prescription sales; activ- ity or early warning indicator Acknowledgments We wish to acknowledge Criselda Valencia (Lead Analyst Support & De- ployment Data Warehouse at Walgreen Co.), Erma Villarreal (IT Man- ager - Support & Deployment Data Warehouse at Walgreen Co.), and Zhongwen Huang (Senior Analyst Outcomes & Analytics at Walgreen Co.) for pulling data for us. There have been many reports suggesting effective use of prescription sales data in syndromic surveillance (2, 3, 4, 5). keywords: data; prescription; surveillance cache: ojphi-4377.pdf plain text: ojphi-4377.txt item: #148 of 1513 id: ojphi-4379 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 676 flesch: 39 summary: This work leverages spatio-temporal data mining (ST-DM), the MiSTIC (Mining Spatio-Temporally Invariant Cores)[1,6] method for infectious disease surveillance, by identifying a) Extent of spatial spread of disease core regions across popula- tions-scale of disease prevalence b) Possible causes of the observed patterns-for better prediction, detection & management of infectious disease & its outbreaks Introduction Infectious diseases, though initially tend to be limited geographi- cally to a reservoir; a subsequent spatial variation in disease preva- lence (including spread & intensity) arises from the underlying differences in physical-biological conditions that support pathogen, its vectors & reservoirs. It also provides valuable insight into the under- standing of disease prevalence in different regions based on their his- tory over space and time. keywords: cores; data; disease cache: ojphi-4379.pdf plain text: ojphi-4379.txt item: #149 of 1513 id: ojphi-4380 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 761 flesch: 48 summary: As a result, the spatial distribution of confirmed DRTB cases under-represents the actual number of drug-resistant cases[1]. Using a weighted DBM in combination with programmatic data from a high TB incidence community, we are able to make use of routine data in which a non-random sample of drug resistant cases are de- tected to estimate the true underlying burden of disease. keywords: cases; risk cache: ojphi-4380.pdf plain text: ojphi-4380.txt item: #150 of 1513 id: ojphi-4384 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 711 flesch: 52 summary: Conclusions The total number of snake bite cases from Missouri ESSENCE ED visits is much greater than the number of snake bites cases called into the MoPC by ESSENCE participating hospitals. This figure also shows that the greatest number of ESSENCE visits for snake bites were reported by Southwest region hospitals whereas the Eastern region hospitals placed the greatest number of calls to MoPC regarding snake bites. keywords: missouri; poison; snake cache: ojphi-4384.pdf plain text: ojphi-4384.txt item: #151 of 1513 id: ojphi-4385 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 445 flesch: 31 summary: Methods We conducted a systematic review and analysis of laws and regu- lations relating to foodborne illness surveillance and outbreak re- sponse in all 50 states and the District of Columbia, using the following methods: (1) we created a database to record state laws and regulations relating to foodborne illness surveillance and outbreak response in all 50 states and the District of Columbia; (2) we con- ducted a basic gap analysis of state foodborne illness surveillance and outbreak response laws and policies collected in the database; and (3) we conducted case study analyses of previous multistate outbreaks from 2008-2011. Results Through compilation of the state foodborne illness surveillance and outbreak response laws and regulations and analysis of previous multistate outbreaks, we are able to present trends, variations, and gaps in the legislation that directly impacts the ability of public health officials to conduct foodborne outbreak investigations. We also pres- ent policy recommendations for strengthening state laws and regula- tions. keywords: outbreak; response cache: ojphi-4385.pdf plain text: ojphi-4385.txt item: #152 of 1513 id: ojphi-4386 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 827 flesch: 47 summary: Conclusions We found monitoring syndromes, in addition to test requests, to be useful and necessary for completeness. In 2009, a pilot study of syndrome classification schemes was under- taken and in 2011 a new general submission form was adopted, which includes a check list of syndromes, as part of the clinical history. keywords: new; syndromes; test cache: ojphi-4386.pdf plain text: ojphi-4386.txt item: #153 of 1513 id: ojphi-4387 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 772 flesch: 50 summary: 2007 Aug;40(4):370-9. Cooper DL, Verlander NQ, Smith GE, Charlett A, Gerard E, Willocks L, O’Brien S. Can syndromic surveillance data detect local outbreaks of communicable disease? The analysis consisted of three parts: (1) the validation of outbreak signals by comparing signal counts during outbreak and baseline periods, (2) the estimation of detection limits by modeling signal rates (signal- to-case ratios), and (3) the evaluation of early warning potential by means of signal detection analysis. keywords: data; outbreak; surveillance; sweden cache: ojphi-4387.pdf plain text: ojphi-4387.txt item: #154 of 1513 id: ojphi-4388 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 661 flesch: 45 summary: Rankings of comorbidity conditions reported in adults wiht episodes of mental illness in EDs Keywords ED visits; Adult mental illness; Medical comorbidity References [1] Kessler RC, Heeringa S, Lacoma MD et al Individual and societal ef- fects of mental disorders on earnings in the united States: results from the National Comorbidity Survey replication. The purpose of this paper was to analyze the associated burden of mental illness and medical comorbidity using BioSense data 2008- 2011. keywords: comorbidity; health; illness cache: ojphi-4388.pdf plain text: ojphi-4388.txt item: #155 of 1513 id: ojphi-4389 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 704 flesch: 43 summary: We calculated Spearman rank-order coefficients, 95% confidence intervals and p-values using Fisher’s z transformation to describe correlation between TT data and other influenza healthcare measures. Little is known about whether VA telephone program influenza data corre- lates with established influenza biosurveillance. keywords: data; influenza; visits cache: ojphi-4389.pdf plain text: ojphi-4389.txt item: #156 of 1513 id: ojphi-4390 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 620 flesch: 42 summary: Half of the states were funded by the Centers for Disease Control and Prevention (CDC) to engage public health agencies in HIE activities; the other half received no such funding. For public health to be an active participant in and reap the benefits of HIE, greater in- vestment in state and local public health informatics capacity, in- cluding human resources, and education regarding HIE privacy and security practices are needed. keywords: agencies; health; hie cache: ojphi-4390.pdf plain text: ojphi-4390.txt item: #157 of 1513 id: ojphi-4391 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 758 flesch: 39 summary: MD-Scan jointly opti- mizes the likelihood ratio statistic over subsets of the values for each monitored attribute, identifying a space-time region (subset of loca- tions and time steps) and subpopulation (including gender(s) and age groups) where the number of recent cases for a subset of the moni- tored prodromes is significantly higher than expected. References [1] Neill DB, McFowland E, Zheng H, Fast subset scan for multivariate spatial biosurveillance. keywords: detection; scan cache: ojphi-4391.pdf plain text: ojphi-4391.txt item: #158 of 1513 id: ojphi-4393 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 614 flesch: 38 summary: The objective of this work is to address the infectious disease sur- veillance challenges (specific to developing countries such as Pak- istan) and develop a collaborative capability for monitoring and managing outbreaks of natural or manmade infectious diseases in Pakistan. 3King Edward Medical University, Lahore, Pakistan; 4University of Engineering and Technology, Lahore, Pakistan Objective This work presents our first steps in developing a Global Real-time Infectious Disease Surveillance System (GRIDDS) employing robust and novel in-fectious disease epidemiology models with real-time in- ference and pre/exercise planning capabilities for Lahore, Pakistan. keywords: pakistan; surveillance; time cache: ojphi-4393.pdf plain text: ojphi-4393.txt item: #159 of 1513 id: ojphi-4395 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 767 flesch: 34 summary: Introduction The use of health information systems to electronically deliver clinical data necessary for notifiable disease surveillance is growing. For health information systems to be effective at improving popula- tion surveillance functions, semantic interoperability is necessary. keywords: elr; health; systems cache: ojphi-4395.pdf plain text: ojphi-4395.txt item: #160 of 1513 id: ojphi-4396 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 726 flesch: 49 summary: The data analyses suggest that the great ma- jority of organisms can adequately – though far from perfectly – be represented by a statistical model in which the variance is propor- tional to the mean, such as the quasi-Poisson or negative binomial models. However, there has been little research on outbreak detection methods that are suited to large, multiple surveillance sys- tems involving thousands of different organisms. keywords: mean; models; organisms cache: ojphi-4396.pdf plain text: ojphi-4396.txt item: #161 of 1513 id: ojphi-4397 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 772 flesch: 49 summary: Results Temporal analysis found that the Pearson’s correlation between mild EV cases and severe EV cases occurring in the same week was 0.553 (p<0.01) in Figure 1. Such a correlation became moderate (data) when mild EV cases happened in 1~4 weeks before the current severe EV cases. keywords: cases; enterovirus; taiwan cache: ojphi-4397.pdf plain text: ojphi-4397.txt item: #162 of 1513 id: ojphi-4398 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 806 flesch: 40 summary: Using IFA and RT-PCR in Study of Ixodic Tick Infection Rate Collected in CCHF Foci in Kazakhstan and Tajik- istan in 2001-02. On Prospects of Further Study of CCHF Foci in Kazakhstan // Science and Disease Surveillance Re- view, BTRP, Atlanta, 2009, p.126 6. keywords: analysis; cchf; foci; kazakhstan cache: ojphi-4398.pdf plain text: ojphi-4398.txt item: #163 of 1513 id: ojphi-4399 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 805 flesch: 53 summary: Conclusions By combining control bars with different characteristics, the ma- trix has potential ability to improve the specificity of detection while maintaining a certain degree of sensitivity. The proper combination, baseline and threshold of control bars will be further explored in the real-time surveillance situation of ISSC. keywords: control; days; surveillance cache: ojphi-4399.pdf plain text: ojphi-4399.txt item: #164 of 1513 id: ojphi-4401 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 802 flesch: 44 summary: ISDS 2012 Conference Abstracts Determinants of Outbreak Detection Performance Nastaran Jafarpour*1, Doina Precup2 and David Buckeridge2 1Department of Computer Engineering, Ecole Polytechnique de Montreal, Montreal, QC, Canada; 2McGill University, Montreal, QC, Canada Objective To predict the performance of outbreak detection algorithms under different circumstances which will guide the method selection and algorithm configuration in surveillance systems, to characterize the dependence of the performance of detection algorithms on the type and severity of outbreak, to develop quantitative evidence about de- terminants of detection performance. Conclusions The contamination level and duration of outbreaks, alerting thresh- old, memory, guardband, and whether the weekly pattern was con- sidered or not influence the sensitivity and specificity of outbreak detection and given the C-algorithm parameter settings, we can pre- dict outbreak detection performance quantitatively. keywords: detection; outbreak; performance cache: ojphi-4401.pdf plain text: ojphi-4401.txt item: #165 of 1513 id: ojphi-4402 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 793 flesch: 38 summary: Second, evaluate data streams using two different methodologies, decision analysis modeling using a support tool called Logical Decisions® that assigns utility scores to data streams based on weighted metrics and assigned values specific to data stream cat- egories; and a Surveillance Window concept developed at LANL that assigns a window or windows of time specific to a disease within which information coming from various data streams can be deter- mined to have utility. Through the use of defined sur- veillance goals, metrics and data stream categories, not only have we identified data streams currently in use that have high utility, but also new data streams that could be exploited for the early warning/moni- toring of disease outbreaks. keywords: data; disease; streams cache: ojphi-4402.pdf plain text: ojphi-4402.txt item: #166 of 1513 id: ojphi-4403 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 704 flesch: 42 summary: INFLUENZA AND CHRONIC CHEST DISEASE Less than 5% of the respondents with influenza cases had chronic shortness of breath Keywords Surveillance; Influenza; Nigeria; Co-morbidity Acknowledgments Influenza viruses have been an under-appreciated contributor to morbidity and mortality in Nigeria. keywords: health; influenza; nigeria cache: ojphi-4403.pdf plain text: ojphi-4403.txt item: #167 of 1513 id: ojphi-4404 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 730 flesch: 44 summary: Introduction Los Alamos National Laboratory has been funded by the Defense Threat Reduction Agency to determine the relevance of data streams for an integrated global biosurveillance system. We used a novel method of evaluating the effectiveness of data streams called the “sur- veillance window”. keywords: data; streams; surveillance cache: ojphi-4404.pdf plain text: ojphi-4404.txt item: #168 of 1513 id: ojphi-4405 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 789 flesch: 53 summary: ISDS 2012 Conference Abstracts Tweeting Fever: Are Tweet Extracts a Valid Surrogate Data Source for Dengue Fever? Jacqueline S. Coberly*1, Clayton R. Fink1, Eugene Elbert1, In-Kyu Yoon2, John M. Velasco2, Agnes Tomayo2, V. Roque3, S. Ygano4, Durinda Macasoco4 and Sheri Lewis3 1The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA; 2Armed Forces Research Institute for Medical Research, Bangkok, Thailand; 3National Epidemiology Center, Manila, Philippines; 4Cebu City Health Office, Cebu City, Philippines Objective To determine whether Twitter data contains information on dengue-like illness and whether the temporal trend of such data cor- relates with the incidence dengue or dengue-like illness as identified by city and national health authorities. The Cebu City Health Office (CCHO) has monitored fever incidence as a surrogate for dengue fever since the 1980s. keywords: data; dengue; fever cache: ojphi-4405.pdf plain text: ojphi-4405.txt item: #169 of 1513 id: ojphi-4406 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 474 flesch: 38 summary: Cases were laboratory confirmed influenza infection and controls were neg- ative for influenza. Ongoing febrile respiratory illness (FRI) surveillance captures data and specimens that are lever- aged to estimate influenza VE on an annual basis. keywords: influenza; vaccine cache: ojphi-4406.pdf plain text: ojphi-4406.txt item: #170 of 1513 id: ojphi-4407 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 715 flesch: 49 summary: A well-established syndromic reporting system holds promise as a method of OHV surveillance. ISDS 2012 Conference Abstracts Using Syndromic Emergency Department Data to Augment Oral Health Surveillance John P. Jasek*1, Nicole Hosseinipour1, Talia Rubin1 and Ramona Lall2 1NYC Department of Health and Mental Hygiene, Bureau of Health Care Access and Planning, Long Island City, NY, USA; 2NYC Department of Health and Mental Hygiene, Bureau of Communicable Diseases, Long Island City, NY, USA Objective To utilize an established syndromic reporting system for surveil- lance of potentially preventable emergency department (ED) oral health visits (OHV) in New York City (NYC). keywords: department; health; ohv cache: ojphi-4407.pdf plain text: ojphi-4407.txt item: #171 of 1513 id: ojphi-4408 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 862 flesch: 54 summary: Introduction COPD is a prevalent chronic disease among older adults; exacer- bations often result in ED visits and subsequent hospital admis- sions.[1,2] Methods We performed a population-based study of ED visits for COPD using state-wide surveillance data from NC DETECT[4], including all ED visits made by NC residents aged ! keywords: return; visits cache: ojphi-4408.pdf plain text: ojphi-4408.txt item: #172 of 1513 id: ojphi-4409 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 853 flesch: 44 summary: A member of the DOHMH followed up with ED staff and IT personnel to resolve any outstanding data quality issues. Further research is needed to develop an improved method for analyzing ED data that takes ED-specific characteristics into consideration. keywords: data; dohmh; eds cache: ojphi-4409.pdf plain text: ojphi-4409.txt item: #173 of 1513 id: ojphi-4410 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 701 flesch: 32 summary: Significant gaps in FSU epidemiology are in the areas of biostatistics and epi- demiologic study designs. Review of the def- initions showed that many terms within biosurveillance and infectious disease public health practice are used differently, and some concepts are lacking altogether in the Russian or English literature. keywords: epidemiology; fsu; western cache: ojphi-4410.pdf plain text: ojphi-4410.txt item: #174 of 1513 id: ojphi-4411 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 763 flesch: 44 summary: Keywords biosurveillance; timeliness; detection; alerting methods; sensitivity References 1. The Holt-Win- ters method was again superior for non-sparse data. keywords: data; detection; time cache: ojphi-4411.pdf plain text: ojphi-4411.txt item: #175 of 1513 id: ojphi-4412 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 795 flesch: 49 summary: NC Statewide Oral Health Medicaid Visits to Emergency Departments per 10,000 Eligibles Keywords emergency department; chief complaint; BioSense; oral health; NCDETECT Acknowledgments Mark Casey, North Carolina Dental Director for Medicaid eligibility and care provider data; Chris Okunseri, Marquette University for case defi- nition advice; Lana Deyneka of the North Carolina Department of Health and Human Services for consultation; Dennis Falls of NCDETECT for Method of Payment information. In the current study, the derived oral health visit rates gave numerical detail to concerns about the use of NC EDs for nontraumatic oral health problems by low-income per- sons affected by the economic recession. keywords: age; health; visits cache: ojphi-4412.pdf plain text: ojphi-4412.txt item: #176 of 1513 id: ojphi-4413 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 726 flesch: 37 summary: Conclusions Expansion and further technical validation upheld the PBN ap- proach as a user-friendly means of analytic decision support given multiple, variably weighted evidence sources. References Burkom H, Elbert Y, Ramac-Thomas L et al., Analytic fusion of ESSENCE clinical evidence sources for routine decision support, Emerging Health Threats Journal Supplements, eISSN 1752-8550, ISSN 2001 1350 (print). keywords: data; evidence; health; pbn cache: ojphi-4413.pdf plain text: ojphi-4413.txt item: #177 of 1513 id: ojphi-4414 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 811 flesch: 46 summary: These files were made for DoD data, VA data, and combined data. — Does combin- ing datasets worsen the rate of background cluster determination? — Does combining mask clusters detected on the separate datasets? — Does combining find clusters that the separate datasets alone would miss? Methods Cluster determination runs were done with a spatial scan statistics implementation previously verified [1] by comparison with SaTScan software [2] using DoD data from the Biosense system. keywords: cluster; data; dod cache: ojphi-4414.pdf plain text: ojphi-4414.txt item: #178 of 1513 id: ojphi-4415 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 889 flesch: 44 summary: Methods Weekly counts and rates of hospital staff ILA (attributed to colds or influenza) were compared to GP ILI consultation rates (Royal Col- lege of General Practitioners Weekly Returns Service)(4) for 15-64 year olds, and positive influenza A test results (PITR) for all inpa- tients hospitalised in the three London hospitals for which staff data were collected using both retrospective time series and prospective outbreak detection methods implemented in the surveillance pack- age in R (5) Results Rates of ILA were about six times higher than rates of ILI. Introduction Surveillance of influenza in the US, UK and other countries is based primarily on measures of influenza-like illness (ILI), through a com- bination of syndromic surveillance systems, however, this method may not capture the full spectrum of illness or the total burden of disease. keywords: ila; ili; influenza cache: ojphi-4415.pdf plain text: ojphi-4415.txt item: #179 of 1513 id: ojphi-4416 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 528 flesch: 32 summary: Methods We obtained surveillance data on laboratory confirmed cases of pandemic H1N1 influenza from the province of Manitoba. We estimated the odds of hospitalization and inten- sive care unit admission for cases of H1N1 influenza among FN liv- ing in Manitoba, Canada, to determine the effect of location of residency and other factors on disease outcomes during the 2009 H1N1 pandemic. keywords: residency; rurality cache: ojphi-4416.pdf plain text: ojphi-4416.txt item: #180 of 1513 id: ojphi-4417 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 710 flesch: 37 summary: Outbreak detection can be improved by using simulated outbreak data to build, validate, and evaluate models that aim to improve accuracy and timeliness of outbreak detection. Outbreak detection can be improved with advances in data availability, such as syndromic surveillance data that will increase timeliness of detection, and space-time infor- mation to allow for simultaneous detection and classification of out- breaks by important characteristics (type of outbreak, source of outbreak). keywords: detection; disease; outbreak cache: ojphi-4417.pdf plain text: ojphi-4417.txt item: #181 of 1513 id: ojphi-4420 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 805 flesch: 55 summary: The j-th objective function evaluates the strength of candidate clusters using only in- formation from the j-th data stream. ISDS 2012 Conference Abstracts Multiple Source Spatial Cluster Detection Through Multi- criteria Analysis Luiz H. Duczmal*1, Alexandre C. L. Almeida2, Fabio R. da Silva1 and Martin Kulldorff3 1Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; 2Universidade Federal de São João del-Rei, Ouro Branco, Brazil; 3Harvard Medical School, Boston, MA, USA Objective To incorporate information from multiple data streams of disease surveillance to achieve more coherent spatial cluster detection using statistical tools from multi-criteria analysis. keywords: clusters; data; objective; set cache: ojphi-4420.pdf plain text: ojphi-4420.txt item: #182 of 1513 id: ojphi-4421 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 709 flesch: 44 summary: Firstly, for the fixed parameters, the spatial vari- able (county) was not significantly different both the occurrence and in- tensity model, while for the temporal variable (month), the probability of absenteeism occurrence was significantly different over three months (!=-0.165, p =0.026), suggesting a decreasing of school absenteeism from April to June. Moreover, school absenteeism data are correlated within each school due to repeated measures. keywords: absenteeism; model; zimm cache: ojphi-4421.pdf plain text: ojphi-4421.txt item: #183 of 1513 id: ojphi-4422 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 853 flesch: 44 summary: That same year, Arizona had the highest incidence of WNV cases in the U.S. including number of neuroinva- sive disease cases, total cases, and number of deaths per state. Surveillance: A convenient seroprevalence study at sentinel-hos- pital site of symptomatic patients presenting in Arizona border hos- pital sites will be performed to better understand circulating levels of arboviral infections. keywords: aegypti; arizona; dengue; health cache: ojphi-4422.pdf plain text: ojphi-4422.txt item: #184 of 1513 id: ojphi-4423 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 832 flesch: 45 summary: We attempt to validate search volume estimation of drug utilization in three ways: 1) explore seasonal variations in search volume and outpatient utilization, 2) monitor change between substitute drugs fol- lowing patent expirations and 3) use search volume estimation meth- ods to estimate TB incidence. The ability to esti- mate use of drugs from search volume presents a new method for keyword selection in search based incidence models and a method to monitor changes in the pharmaceutical market. keywords: drug; search; volume cache: ojphi-4423.pdf plain text: ojphi-4423.txt item: #185 of 1513 id: ojphi-4424 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 776 flesch: 34 summary: Common mistakes found in multi-attribute prioritization approaches reported in the social sciences (2) appear also in public and animal health settings. Based on our findings, we discuss a conceptual framework based on multi-attribute utility theory presented to the World Organ- ization for Animal Health (OIE) for the modification of its qualitative assessment of veterinary services performance into a quantifiable de- cision support system. keywords: decision; health; prioritization cache: ojphi-4424.pdf plain text: ojphi-4424.txt item: #186 of 1513 id: ojphi-4425 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 749 flesch: 45 summary: Integrating syndromic surveillance with traditional case report system may generate timely, effective and sen- sitive information for early warning and control of infectious diseases in rural China (3). Of the reported ILI and FGS cases, 75% ILI and 55.9% FGS cases were reported by health workers in the VHS. Conclusions Cough, fever and sore throat were the top surveillance symptoms, and the respiratory infectious diseases had more chance to be reported in syndromic surveillance system in rural Jiangxi Province. keywords: fever; health; surveillance cache: ojphi-4425.pdf plain text: ojphi-4425.txt item: #187 of 1513 id: ojphi-4426 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 835 flesch: 52 summary: The users can also consult aggregated data through a BI tool to have a more in-depth analysis of the public health. The output and reporting for decision makers and feedback for data providers through epidemiological bulletins and dashboards. keywords: data; health; system cache: ojphi-4426.pdf plain text: ojphi-4426.txt item: #188 of 1513 id: ojphi-4427 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 748 flesch: 43 summary: ISDS 2012 Conference Abstracts The Organizational Structures and Human Resources Allocation of Infectious Disease Surveillance System in Rural China Biao Xu*1, Qi Zhao1, Huijian Cheng2, Tao Tao1, Yipin Zhu1, Miao Yu1 and Hui Yuan2 1School of Public Health, Fudan University, Shanghai, China; 2Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China Objective To understand the structure and capacity of current infection dis- ease surveillance system, and to provide baseline information for de- veloping syndromic surveillance system in rural China. Syndromic surveillance system has great advantages in pro- moting early detection of epidemics and reducing the burden of disease outbreak confirmation (1). keywords: health; surveillance; system cache: ojphi-4427.pdf plain text: ojphi-4427.txt item: #189 of 1513 id: ojphi-4428 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 695 flesch: 20 summary: Conclusions Activation of a local infectious disease forecast station modeled after a local weather station promotes routine communication of a broader array of infectious disease activity than that monitored by public health; facilitates proactive, cost effective healthcare; and en- abled recognition of unusual, disruptive infectious activity with enough time to enable mitigation of clinical, infrastructure, and fi- nancial impact to the community. Cost estimates demonstrated financial benefit at a local level to anticipat- ing surges of infectious disease activity with enough time to mitigate patient demand. keywords: disease; forecast; health; public cache: ojphi-4428.pdf plain text: ojphi-4428.txt item: #190 of 1513 id: ojphi-4429 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 724 flesch: 36 summary: A question bank consisting of 80 questions was de- veloped to benchmark with other existing surveys used to assess var- ious public health surveillance measures (e.g., the Behavioral Risk Factor Surveillance System, the PROMIS, National Survey on Drug Use and Health, and the CCES). Nevertheless, survey methodologists are moving forward and exploring ways to reduce or eliminate biases between the sample and the target population. keywords: health; internet; surveillance; surveys cache: ojphi-4429.pdf plain text: ojphi-4429.txt item: #191 of 1513 id: ojphi-4430 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 760 flesch: 36 summary: Our aims were three- fold: to demonstrate a proof of concept using syndromic surveillance for SSTI surveillance in the absence of laboratory data, to estimate the burden of ED visits associated with SSTI, and to determine potential geographic “hotspots” for these infections. SSTI related visits were defined by either chief complaints with SSTI associated words (abscess, cellulitis) or final diagnosis In- ternational Classification of Diseases (ICD-9 CM) codes for SSTIs. keywords: ssti; surveillance; visits cache: ojphi-4430.pdf plain text: ojphi-4430.txt item: #192 of 1513 id: ojphi-4431 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 848 flesch: 37 summary: Due to the modular design ESSENCE-FL Microsoft SQL databases were easily adapted by the Johns Hopkins University Ap- plied Physics Laboratory (JHU/APL) to add a new module to handle receipt of ASPR EMR data including code to process the files, re- move duplicates and create associations with existing reference in- formation, such as system-defined geographic regions and age groups. To improve surveillance ASPR and FDOH engaged in a pilot project whereby EMR data from ASPR would be sent to FDOH in near real- time during the 2012 hurricane season and the 2012 RNC. keywords: aspr; data cache: ojphi-4431.pdf plain text: ojphi-4431.txt item: #193 of 1513 id: ojphi-4432 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 722 flesch: 56 summary: Ninety-six percent of all Ohio ED visits were captured during this timeframe. Introduction The State of Ohio, as well as the country, has experienced an in- creasing incidence of drug ODs over the last three decades [3]. keywords: data; drug; ohio cache: ojphi-4432.pdf plain text: ojphi-4432.txt item: #194 of 1513 id: ojphi-4433 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 778 flesch: 26 summary: Results Advantages of the model include a data-driven culture with the balanced scorecard model in leadership and sub-departmental em- phases on quality assurance in public health services. This has immense implications for pub- lic health surveillance activities as chronic disease surveillance and public health service research take center stage under new healthcare payment models amidst increasing calls for quality assurance in pub- lic health services. keywords: community; health; informatics cache: ojphi-4433.pdf plain text: ojphi-4433.txt item: #195 of 1513 id: ojphi-4434 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 620 flesch: 46 summary: In this way we can handle, in a single format, data from emergency departments, convenient care clinics, patient advisory nurse call cen- ters, veterinary clinics, veterinary labs, and veterinary poison control centers. INDICATOR system architecture Keywords Open Source; Surveillance; Informatics; One Health Acknowledgments keywords: data; health; indicator cache: ojphi-4434.pdf plain text: ojphi-4434.txt item: #196 of 1513 id: ojphi-4435 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 848 flesch: 60 summary: Age and ethnicity were adjusted for because of their association with asthma rates (3). We show the benefits of the GLMM by using a GLMM to estimate asthma syndrome rates in New York City from 2007 to 2012, and to compare high and low asthma rates in Harlem and the Upper East Side (UES) of Manhattan. keywords: asthma; data; rates cache: ojphi-4435.pdf plain text: ojphi-4435.txt item: #197 of 1513 id: ojphi-4437 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 698 flesch: 37 summary: Mean daily snow depth was associated with ED SS and ED Dx cold injury cases, although not with hypothermia counts. In preliminary analyses using both case definitions, minimum daily temperature was associ- ated with increases in daily ED SS and ED Dx counts. keywords: cold; data cache: ojphi-4437.pdf plain text: ojphi-4437.txt item: #198 of 1513 id: ojphi-4438 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 787 flesch: 48 summary: Similarly, non-matched EpiCenter data were compared to UB data to examine diagnoses, and 22 (48%) of the EpiCenter HRI cases were matched to UB diagnostic data. HRI visits identified by EpiCenter data and UB data subset for the same EpiCenter reporting facilities. keywords: data; epicenter cache: ojphi-4438.pdf plain text: ojphi-4438.txt item: #199 of 1513 id: ojphi-4439 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 764 flesch: 30 summary: Conclusions There is currently no evidence-based research to guide or improve the practice of public health communication between public health agencies and health care providers before, during and after a public health emergency. The REACH (Rapid Emergency Alert Communication in Health) study is a 4-year randomized controlled trial to evaluate and compare the effectiveness of mobile (SMS) and traditional (email, FAX) com- munication strategies for sending public health messages to health care providers—physicians, pharmacists, nurse practitioners, physi- cian’s assistants and veterinarians. keywords: communication; health; public cache: ojphi-4439.pdf plain text: ojphi-4439.txt item: #200 of 1513 id: ojphi-4440 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 733 flesch: 54 summary: NYC residential ZIP codes, PO Boxes and commercial buildings were identified with 2010 US Census and data from the SAS institute (SAS Institute Inc., Cary, NC, USA). Out of town visits were identified using with the 2010 US Census. keywords: nyc; town; visits cache: ojphi-4440.pdf plain text: ojphi-4440.txt item: #201 of 1513 id: ojphi-4441 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 703 flesch: 32 summary: Also at question was whether receipt of multiple anomalies in such a short time span was statistically or epidemiologically significant. Multiple analysis methods created multiple anomalies which gave an impression the event was of greater significance compared to a single anomaly. keywords: anomalies; anomaly; health cache: ojphi-4441.pdf plain text: ojphi-4441.txt item: #202 of 1513 id: ojphi-4442 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 704 flesch: 40 summary: OSHINT also forecasts response requirements, through predictive models, to allow more efficient use of resources, person- nel, and countermeasures in biological event response. Results The OSHINT system was developed in Amazon Web Services and includes real-time social media collection for event characterization (see Figure 1). keywords: events; media; oshint cache: ojphi-4442.pdf plain text: ojphi-4442.txt item: #203 of 1513 id: ojphi-4443 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 780 flesch: 43 summary: The goal of this study was to analyze the association between meteorological factors and Lyme disease risk in humans in Texas. Therefore, GIS can be used as a platform for integrating local environmental and meteorological vari- ables into the analysis of disease spread, which would help in sur- veillance and decision making. keywords: disease; factors; study; texas cache: ojphi-4443.pdf plain text: ojphi-4443.txt item: #204 of 1513 id: ojphi-4444 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 588 flesch: 48 summary: However, there has not been a systematic assess- ment of EEBS evaluations, which could identify uncertainties about current systems and guide EEBS development to effectively exploit digital information for surveillance. To assess evaluations of electronic event-based biosurveillance systems (EEBS’s) and define priorities for EEBS evaluations. keywords: eebs; evaluations cache: ojphi-4444.pdf plain text: ojphi-4444.txt item: #205 of 1513 id: ojphi-4445 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 667 flesch: 35 summary: Complex algorithms using laboratory data and/or use of qualifying hepatitis B ICD-9 codes were applied to EHR patient data to create the chronic HBV cohort. The prevalence of hepatitis B virus infection in the United States in the era of vaccination. keywords: chronic; hepatitis cache: ojphi-4445.pdf plain text: ojphi-4445.txt item: #206 of 1513 id: ojphi-4446 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 691 flesch: 47 summary: Pre- vious study by Elkin el al. demonstrated that using individual emer- gency department (ED) reports can better detect influenza cases than using chief complaints [1]. Our recent study using ED reports processed by Bayesian networks (using expert constructed network structure) showed high detection accuracy on detection of influenza cases [2]. keywords: detection; influenza; reports cache: ojphi-4446.pdf plain text: ojphi-4446.txt item: #207 of 1513 id: ojphi-4447 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 824 flesch: 40 summary: However, our search for matching LOINC codes in Relma for certain SNOMED concepts indicated that LOINC does not have codes for select types of laboratory test results, particularly qualifier (such as reactive, negative, and resistant) or structural (labia, urethra, and vagina) concepts. Sherry L. Burrer1, Carla A. Winston2, Mathew Miller3 and Samuel L. Groseclose4 1CDC/OSELS/PHSIPO, Atlanta, GA, USA; 2Department of Veterans Affairs, Washington, DC, USA; 3McKing Consulting, Atlanta, GA, USA; 4CDC/OPHPR/SPHP, Atlanta, GA, USA Objective To examine the use of LOINC and SNOMED CT codes for cod- ing laboratory orders and results in laboratory reports sent from 63 non-federal hospitals to the BioSense Program in calendar year 2011. keywords: codes; laboratory; loinc cache: ojphi-4447.pdf plain text: ojphi-4447.txt item: #208 of 1513 id: ojphi-4451 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 651 flesch: 37 summary: Also, it will provide some context of how the initiative will likely affect biosurveillance reporting in Meaningful Use Stage 3 and future harmonization of data standards requirements for public health reporting. One of these working groups within the S&I Framework is the PHRI, which is using the S&I Framework as a platform for a community-led project focused on simplifying public health reporting and ensuring EHR interoperabil- ity with public health information systems. keywords: health; phri; reporting cache: ojphi-4451.pdf plain text: ojphi-4451.txt item: #209 of 1513 id: ojphi-4452 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 772 flesch: 39 summary: The volume, fre- quency, and included details of syndromic data enabled timely bur- den estimates of nontraumatic oral health visits for NC EDs. Most studies on oral health-related visits to EDs have used a wide range of classifications from different databases, but none have used syndromic surveillance data. keywords: data; health; visits cache: ojphi-4452.pdf plain text: ojphi-4452.txt item: #210 of 1513 id: ojphi-4453 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 513 flesch: 37 summary: Canadian surveillance practitioners and researchers comprise the largest International group of ISDS members, and these members have expressed an interest in working with ISDS to translate surveillance innovations into prac- tice in Canada, where a national surveillance network and forum is lacking. The Society has evolved from an initial focus on syndromic surveillance to a broader consideration of innovation in health surveillance. keywords: isds; surveillance cache: ojphi-4453.pdf plain text: ojphi-4453.txt item: #211 of 1513 id: ojphi-4454 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 783 flesch: 48 summary: To characterize Veterans who call telephone triage because of sui- cidal ideation (SI) or depression and to identify opportunities for sui- cide prevention efforts among these telephone triage users using a biosurveillance application. By contrast, telephone triage is a na- tional telephone-based triage system used by the VA to assess and triage all Veterans with acute medical or mental health complaints. keywords: calls; telephone; veterans cache: ojphi-4454.pdf plain text: ojphi-4454.txt item: #212 of 1513 id: ojphi-4456 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 753 flesch: 50 summary: Users can also compare the contributed data with other surveillance systems: the Centers for Disease Control and Prevention, and Google Flu Trends for the same time period [Figure 1]. We also obtained user feedback through a survey in early July 2012. keywords: influenza; surveillance; users cache: ojphi-4456.pdf plain text: ojphi-4456.txt item: #213 of 1513 id: ojphi-4457 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 753 flesch: 33 summary: Conclusions The results of the pilots have demonstrated that it is important to construct and formalize standard operating procedures, so that pub- lic health personnel and water utilities have a standard communica- tion protocol. The WSi pilot project has helped to strengthen this communication pathway through the process of collaborating to develop the component, and through the need to investigate PHS alerts. keywords: health; pilot; water cache: ojphi-4457.pdf plain text: ojphi-4457.txt item: #214 of 1513 id: ojphi-4458 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 737 flesch: 44 summary: Plans for future expansion include: Creating a GIS system that trends data over 10 years; Identifying ED high utilizers by location (visits by town, number of diagnosis codes per visit, date of visits, and sum- mative data); and Creating hospital and total state-wide breakdown of highest utilizers, most common state-wide diagnosis for ED high uti- lizers, and specific data from each hospital in relation to state-wide social vulnerability index data. Conclusions This pilot project provides a manageable approach for identifying ED high utilizers for both health improvement and cost reduction sur- veillance efficiencies, and is a model for other surveillance manage- ment monitoring applications. keywords: utilizers cache: ojphi-4458.pdf plain text: ojphi-4458.txt item: #215 of 1513 id: ojphi-4459 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 820 flesch: 44 summary: The development and evaluation of a PDA-based method for public health surveillance data collection in developing countries, Int. ISDS 2012 Conference Abstracts Implementation of a Mobile-Based Surveillance System in Saudi Arabia for the 2009 Hajj Wei Li* Centers for Disease Control and Prevention, Atlanta, GA, USA Objective To develop and implement a mobile-based disease surveillance system in the Kingdom of Saudi Arabia (KSA) for the 2009 Hajj; to strengthen public health preparedness for the H1N1 Influenza A pan- demic. keywords: hajj; mobile; system cache: ojphi-4459.pdf plain text: ojphi-4459.txt item: #216 of 1513 id: ojphi-4460 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 504 flesch: 40 summary: Surveillance system attributes were evaluated using updated guidelines for evaluating public health surveillance system (2007) from Morbidity and Mortality Weekly Report (MMWR). Only one regional hos- pital laboratory was conducting laboratory diagnosis for bacillary dysentery and sending reports to MOHSW. keywords: health; tanzania cache: ojphi-4460.pdf plain text: ojphi-4460.txt item: #217 of 1513 id: ojphi-4461 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 727 flesch: 48 summary: Figure 1 shows that two influenza sea- sons (2007-08 and 2009-10) were more severe than others examined based on the ESSENCE percent ILI threshold analysis, this result is consistent with the examination of severity of influenza activity based on lab confirmed influenza data (p<0.05). Correlation between laboratory confrmed influenza cases and ESSENCE ILI weekly percent in five influenza seasons, 2006-2011 Keywords ESSENCE; syndromic surveillance; influenza-like illness (ILI); base- line; threshold Acknowledgments keywords: ili; influenza cache: ojphi-4461.pdf plain text: ojphi-4461.txt item: #218 of 1513 id: ojphi-4462 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 512 flesch: 46 summary: ISDS 2012 Conference Abstracts ILI and SARI Surveillance along the California & Arizona Borders with Mexico, 2011-12 Pete Kammerer*, Gary Brice, Anthony Hawksworth and Chris Myers Keywords influenza; ILI; respiratory syncytial virus; US-Mexico border; SARI *Pete Kammerer E-mail: peter.kammerer@med.navy.mil Online Journal of Public Health Informatics * keywords: influenza; yrs cache: ojphi-4462.pdf plain text: ojphi-4462.txt item: #219 of 1513 id: ojphi-4463 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 723 flesch: 56 summary: Our review yielded five categories of social media use within the surveillance cycle (Table 1). [Insert Image #2 here] After detection, social media use could have shifted to help con- nect and inform. keywords: health; media; surveillance cache: ojphi-4463.pdf plain text: ojphi-4463.txt item: #220 of 1513 id: ojphi-4464 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 704 flesch: 42 summary: In addition to the current CO syndrome definition, where the chief complaint must specifically mention the term CO, a broader definition should also be used in the future to better assess the magnitude of CO-related exposures. During the 2 weeks post-tropical storm 28 cases of CO exposure were reported through HEDSS and 5 cases through laboratory sur- veillance; during the winter storm 131 cases were reported through HEDSS and 162 through reportable disease surveillance. keywords: hedss; storm cache: ojphi-4464.pdf plain text: ojphi-4464.txt item: #221 of 1513 id: ojphi-4465 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 768 flesch: 49 summary: We believe that by providing a set of examples to demonstrate the bene- fit of this technology to public health surveillance infrastructure may provide insight that may lead to a better, more collaborative system of tools that will become the future of public health surveillance. Recreated Plots Keywords Grid computing; Public health grid; analytical service Acknowledgments keywords: grid; health; service cache: ojphi-4465.pdf plain text: ojphi-4465.txt item: #222 of 1513 id: ojphi-4467 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 793 flesch: 45 summary: ISDS 2012 Conference Abstracts Disease Surveillance and Achieving Synergy In Public Health Quality Improvement Peggy A. Honoré*1 and Laura C. Streichert2 1U.S. Department of Health and Human Services, Washington, DC, USA; 2International Society for Disease Surveillance, Brighton, MA, USA Objective To examine disease surveillance in the context of a new national framework for public health quality and to solicit input from practi- tioners, researchers, and other stakeholders to identify potential met- rics, pivotal research questions, and actions for achieving synergy between surveillance practice and public health quality. What are the gaps in knowledge, skills, systems, and resources? —Where can standardization play a positive role in the evaluation of quality in public health surveillance? keywords: health; quality; surveillance cache: ojphi-4467.pdf plain text: ojphi-4467.txt item: #223 of 1513 id: ojphi-4468 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 766 flesch: 35 summary: Building The App Store for Biosurveillance Kenneth D. Mandl* 1Boston Children’s Hospital, Boston, MA, USA; 2Harvard Medical School, Boston, MA, USA Objective To enable public health departments to develop “apps” to run on electronic health records (EHRs) for (1) biosurveillance and case re- porting and (2) delivering alerts to the point of care. Results SMART provides a common platform supporting an “app store for biosurveillance” as an approach to enabling one stop shopping for public health departments—to create an app once, and distribute it everywhere. keywords: health; information; smart cache: ojphi-4468.pdf plain text: ojphi-4468.txt item: #224 of 1513 id: ojphi-4470 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 567 flesch: 32 summary: ISDS 2012 Conference Abstracts Influenza Forecasting with Google Flu Trends Andrea F. Dugas*1, Mehdi Jalalpour1, Yulia Gel1, 2, Scott Levin1, Fred Torcaso1, Takeru Igusa1 and Richard Rothman1 1Johns Hopkins University, Baltimore, MD, USA; 2University of Waterloo, Waterloo, ON, Canada Objective We sought to develop a practical influenza forecast model, based on real-time, geographically focused, and easy to access data, to pro- vide individual medical centers with advanced warning of the num- ber of influenza cases, thus allowing sufficient time to implement an intervention. The final model, a GARMA intercept model with the addition of Google Flu Trends, predicted weekly influenza cases during 4 out-of-sample outbreaks within 7 cases for 80% of estimates (Figure 1). keywords: google; influenza; model cache: ojphi-4470.pdf plain text: ojphi-4470.txt item: #225 of 1513 id: ojphi-4471 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 664 flesch: 46 summary: One hospital from vendor A, 3 hospitals from vendor B and 4 hospitals from vendor C also reported ED data to the production system, and their comparison with pilot testing data is shown in Table 3. ISDS 2012 Conference Abstracts Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide Hwa-Gan Chang*1, Charlene Weng1, Charlie DiDonato2, Dave DiCesare1, Jian-Hua Chen1 and Debra Blog1 1NYSDOH, Albany, NY, USA; 2NTT Data, Albany, NY, USA Objective To evaluate the readiness and timeliness of ED data submitted by hospitals following PHIN syndromic surveillance messaging guide and to evaluate the availability of minimum data elements. keywords: data; vendor cache: ojphi-4471.pdf plain text: ojphi-4471.txt item: #226 of 1513 id: ojphi-4472 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 766 flesch: 28 summary: Verification: Analysts want indications of information that has been verified or discarded by other analysts, a trail of information history and uses, and automatic verification (e.g., data quality editing) if possible. These can be grouped into the following feature categories: Data: Analysts want rapid access to all relevant data sources, ad- visories for data that may be relevant to their interests, and availabil- ity of information at the appropriate level for their analysis (e.g., output of interpretations from expert analysts instead of raw data). keywords: analysts; data; information; workflow cache: ojphi-4472.pdf plain text: ojphi-4472.txt item: #227 of 1513 id: ojphi-4473 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 612 flesch: 45 summary: † Final targeted symptoms. Introduction Patients’ chief complaints (CCs) as a common data source, has been widely used in syndromic surveillance due to its timeliness, ac- curacy and availability (1). keywords: surveillance; symptoms; syndromes cache: ojphi-4473.pdf plain text: ojphi-4473.txt item: #228 of 1513 id: ojphi-4474 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 795 flesch: 32 summary: Introduction Medical claims and EHR data sources offer the potential to ascer- tain disease and health risk behavior prevalence and incidence, eval- uate the use of clinical services, and monitor changes related to public health interventions. Specifications for EHR data sources relied on the National Quality Forum (NQF) Meaningful Use (MUse) clinical quality measure spec- ifications. keywords: data; health; healthcare cache: ojphi-4474.pdf plain text: ojphi-4474.txt item: #229 of 1513 id: ojphi-4475 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 649 flesch: 33 summary: To max- imize the utility of the database and facilitate one-stop-shopping for biosurveillance system information, we have expanded our scope to include not only biosurveillance systems, but also data sources, tools, and biosurveillance collectives. In order to assess the utility and effective- ness of different data streams for global disease surveillance, a com- prehensive survey of current human, animal, plant, and marine surveillance systems and data streams was undertaken. keywords: resource; systems cache: ojphi-4475.pdf plain text: ojphi-4475.txt item: #230 of 1513 id: ojphi-4476 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 678 flesch: 34 summary: Identify the benefit of creating collaborative relationships with data providers and users 3. This joint- institutional effort has drawn on expertise from the University of North Carolina- Chapel Hill, North Carolina State University, and SAS Institute, leveraging North Carolina’s role as a leader in syn- dromic surveillance, technology development and health data stan- dards. keywords: data; ncb; prepared cache: ojphi-4476.pdf plain text: ojphi-4476.txt item: #231 of 1513 id: ojphi-4477 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 695 flesch: 31 summary: By identifying and describing potential ESS uses of new sources of EHR data and associated data elements with the greatest utility for public health, the recommenda- tions set forth by the ISDS MUse Workgroup will serve to facilitate the adoption of MUse policy by both healthcare and public health agencies. Figure 1: Syndromic surveillance data can inform public health functions. keywords: data; health; surveillance cache: ojphi-4477.pdf plain text: ojphi-4477.txt item: #232 of 1513 id: ojphi-4478 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 789 flesch: 37 summary: The panel will present the problem of standardizing analytic meth- ods for public health disease surveillance, enumerate goals and con- straints of various stakeholders, and present a straw-man framework for a conventions group. 2. Independently evaluate the utility of proposed analytical solu- tions to well-defined problems in public health surveillance and con- fer approval or certification, perhaps on several levels, such as whether results can be replicated with shareable data. keywords: conventions; health; surveillance cache: ojphi-4478.pdf plain text: ojphi-4478.txt item: #233 of 1513 id: ojphi-4479 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 714 flesch: 38 summary: Methods Outbreaks reported by official sources were identified through MoH+ (healthmap.org/mohplus), which collects surveillance data published globally by ministries of health (MoH), other related min- istries, government portals, government-affiliated organizations, and international governing bodies (Fig. 1). Results Outbreak reporting in official sources lagged by a statistically sig- nificant median of 2 days (p=0.003). keywords: boston; reporting; sources cache: ojphi-4479.pdf plain text: ojphi-4479.txt item: #234 of 1513 id: ojphi-4480 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 695 flesch: 35 summary: It is planned to in- troduce methods for brucellosis and other infectious diseases of spe- cial interest in Central Asia and Caucasus Region. At this moment the system is deployed in Kazakhstan at 150 sites (planned 271) in the veterinary surveillance and at 8 sites (planned 23) in human surveillance. keywords: kazakhstan; surveillance; system cache: ojphi-4480.pdf plain text: ojphi-4480.txt item: #235 of 1513 id: ojphi-4481 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 831 flesch: 61 summary: Pakistan Objective We aimed to determine the association of FSWs typology with condom use among HIV high risk groups in Sindh, Pakistan Introduction HIV is growing rapidly worldwide resulting in estimated 34 mil- lion population [1]. Sexual intercourse has been identified as major route especially in HIV high risk groups including male sex workers, female sex work- ers (FSWs), transgender (hijras) and IV drug users. keywords: fsws; hiv; pakistan; risk cache: ojphi-4481.pdf plain text: ojphi-4481.txt item: #236 of 1513 id: ojphi-4482 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 766 flesch: 27 summary: Introduction The practice of public health surveillance is evolving as electronic health records (EHRs) and automated laboratory information systems are increasing adopted, as new approaches for health information ex- change are employed, and as new health information standards affect the entire cascade of surveillance information flow. Potential benefits include not only faster and more complete surveillance but also new opportunities for providing population health information back to clinicians. keywords: health; information; surveillance cache: ojphi-4482.pdf plain text: ojphi-4482.txt item: #237 of 1513 id: ojphi-4483 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 818 flesch: 53 summary: Very young children, the elderly, and people with mental illness and chronic diseases are at the highest risk of preventable heat- related illnesses including sunburn, heat exhaustion, heat stroke and/or death (2). The purpose of this work was to conduct an enhanced analysis of heat illness during a heat wave using Michigan’s Emergency De- partment Syndromic Surveillance System (MSSS) that could be pro- vided to Public Health and Preparedness Stakeholders for situational awareness. keywords: heat; visits cache: ojphi-4483.pdf plain text: ojphi-4483.txt item: #238 of 1513 id: ojphi-4484 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 704 flesch: 38 summary: Five interventions were evaluated: real-time verbal reminders (one-to-one nurse reminders), delayed email re- minders (with the ILI screening documentation rates), meetings (strategize to improve documentation rate), media (visual media broadcasts) and clinic awareness (opening and operation of the in- fluenza assessment clinic). ILI screening documentation rates were calculated across the 8 sites in Edmonton Zone of Alberta Health Services and subsequently cor- related to interventions. keywords: ili; screening cache: ojphi-4484.pdf plain text: ojphi-4484.txt item: #239 of 1513 id: ojphi-4485 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 488 flesch: 39 summary: It is very difficult to obtain electronic health record data currently, but with the appropriate data use agreement Practice Fusion believes that it is a moral imperative to use its aggregate data for surveillance. The user base makes it an ideal system for public health surveillance. keywords: health; surveillance cache: ojphi-4485.pdf plain text: ojphi-4485.txt item: #240 of 1513 id: ojphi-4486 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 684 flesch: 35 summary: Methods We used cultural models to capture additional NC system func- tionality gaps within the culture of the user. Cultural model from a NEDSS technical consultation meeting. keywords: cultural; data; system cache: ojphi-4486.pdf plain text: ojphi-4486.txt item: #241 of 1513 id: ojphi-4487 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 537 flesch: 42 summary: Lessons learned from the outbreak response conducted included: Addition of larvacidal treatment of Tulsa County Storm drainage system Aggressive marketing campaign in regards to prevention meth- ods Purpose and role of Long Term Acute Care centers in regards to human recovery Proposed creation of a West Nile Survivors Group West Nile Virus Disease Keywords Surveillance; West Nile; Mosquito Acknowledgments Christie McDonald-Hamm, MPH; Surveillance Officer, Department of Informatics; Oklahoma State Department of Health References Tulsa County, Oklahoma Public Works Department Public Health Investigation of Disease Database in Oklahoma (PHIDDO) Mosquito Database, Environmental Health Program, Tulsa City County Health Department http://www.cdc.gov/ncdod/dvbid/westnile/index.htm Centers for Disease Control and Prevention, U.S. Environmental Protec- tion Agency, National Oceanic and Atmospheric Agency, and Amer- ican Water Works Association. ISDS 2012 Conference Abstracts Utilization of Various Data Sources to Locate West Nile Clusters in Tulsa County Nicole Schlaefli*2, Kiran Duggirala2 and keywords: county; health; tulsa cache: ojphi-4487.pdf plain text: ojphi-4487.txt item: #242 of 1513 id: ojphi-4488 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 778 flesch: 36 summary: Some health de- partments, private medical organizations (including HMOs), and re- searchers are conducting syndromic surveillance and related research with health data captured in these clinical settings [2]. Ambulatory data has been used for a variety of uses, from monitoring gastrointestinal infectious disease [3], to monitoring be- havioral health trends in a population, while protecting personal iden- tities [4]. keywords: data; health; surveillance cache: ojphi-4488.pdf plain text: ojphi-4488.txt item: #243 of 1513 id: ojphi-4489 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 734 flesch: 45 summary: Results We identified a total of 939 CBSAs, with generally diffuse geo- graphic coverage by VA facilities and higher concentration in larger metro and mega areas for DoD facilities. From applying alerting algorithms to visit counts based on this code set, detection was bet- ter in DoD data for 57% and 77% of CBSAs for seasonal and pan- demic influenza, respectively, and better in VA data for 37% and 14% of CBSAs (Table 2). keywords: cbsas; dod cache: ojphi-4489.pdf plain text: ojphi-4489.txt item: #244 of 1513 id: ojphi-4490 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 705 flesch: 42 summary: ISDS 2012 Conference Abstracts Using Medications Sales from Retail Pharmacies for Syndromic Surveillance in Rural China Weirong Yan*1, 2, Liwei Cheng2, Li Tan2, Miao Yu3, Shaofa Nie2, Biao Xu3, Lars Palm4 and Vinod Diwan1 1Karolinska Institutet, Stockholm, Sweden; 2Huazhong University of Science and Technology, Wuhan, China; 3Fudan University, Shanghai, China; 4Future Position X, Gavle, Sweden Objective In China, many people (around 60%) choose self-medication as their first option when they encounter a health problem (3), and electronic sales information system is gradually used by retail pharmacies, which makes drug sales data become a promising data source for syn- dromic surveillance in China. keywords: china; data; pharmacies; sales cache: ojphi-4490.pdf plain text: ojphi-4490.txt item: #245 of 1513 id: ojphi-4491 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 807 flesch: 33 summary: Results During January 2010 to December 2011, a total of seven (n=7) training courses were delivered in Bangalore and Hyderabad with ap- proximately 231 public health personnel in attendance over the pe- riod. ISDS 2012 Conference Abstracts International Collaboration for Improved Public Health Emergency Preparedness and Response in India Obaghe Edeghere*1, Giri Shankar1, Alastair Bartholomew1, SriKrishna Ramachandra2, Vivek Singh2, Pradeep Banandur3, Linda Parr1, Kenny Yap1, Babatunde Olowokure1 and Sue Ibbotson1 1The Health Protection Agency, Birmingham, United Kingdom; 2Indian Institute of Public Health, Hyderabad, India; 3Rajarajeswari Medical College and Hospital, Bangalore, India Objective This project aimed to contribute to ongoing efforts to improve the capability and capacity to undertake disease surveillance and Emer- gency Preparedness and Response (EPR) activities in India. keywords: health; india; public cache: ojphi-4491.pdf plain text: ojphi-4491.txt item: #246 of 1513 id: ojphi-4492 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 776 flesch: 52 summary: Hence we construct the sys- tem which record infectious diseases at schools, kindergartens, and nursery schools, and then can show the accurate incidence rate of in- fluenza in children by age/grade. Introduction So as to develop more effective countermeasures against influenza, timely and precise information about influenza activity at schools, kindergartens, and nursery schools may be helpful. keywords: influenza; schools; surveillance cache: ojphi-4492.pdf plain text: ojphi-4492.txt item: #247 of 1513 id: ojphi-4493 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 752 flesch: 57 summary: Matte1 1New York City Department of Health and Mental Hygiene, Queens, NY, USA; 2City of Austin/Travis County Health and Human Services Department, Austin, TX, USA Objective To describe the extent to which heat-illness indicators increase with extreme heat and to evaluate the association among daily weather, heat-related illness and natural cause mortality. Controlling for temporal trends, an 11% (95% confidence interval (CI): 5-18) and 7% (95% CI: 4-9) increase in natural cause mortality was associated with an in- crease from the 50th percentile to 99th percentile of same-day and one-day lagged heat-related EMS calls and ED visits, respectively. keywords: ems; heat; mortality cache: ojphi-4493.pdf plain text: ojphi-4493.txt item: #248 of 1513 id: ojphi-4494 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 834 flesch: 50 summary: Additionally, we conducted a sensitivity analysis to deter- mine the impact of air pollutants, specifically fine particulates (PM2.5) and ozone (O3), along with temperature, on CVD outcomes. Models were fit separately for cold season (Oc- tober through March) and warm season (April through September) given season may modify the effect on CVD outcomes. keywords: cvd; mortality; temperature cache: ojphi-4494.pdf plain text: ojphi-4494.txt item: #249 of 1513 id: ojphi-4495 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 659 flesch: 48 summary: Summary of performance attributes of cholera surveillance system, Niger state, 2012. In 2011, Niger state had 2472 cholera cases (CFR-2%) and 45,111 other diarrhea diseases cases, recorded in more than half of state Pur- pose of surveillance system is to ensure early detection of cholera and other diarrheal cases and to monitor trends towards evidence- based decision for management, prevention and control. keywords: cholera; surveillance; system cache: ojphi-4495.pdf plain text: ojphi-4495.txt item: #250 of 1513 id: ojphi-4496 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 611 flesch: 33 summary: SAGES tools are built in a modular nature, which allows for the user to select one or more tools to enhance an existing surveillance system or use the tools en masse for an end-to-end electronic disease surveillance capability. SAGES tools are currently deployed in locations in Africa, Asia and South Amer- ica, and are offered to other interested countries around the world. keywords: sages; surveillance; tools cache: ojphi-4496.pdf plain text: ojphi-4496.txt item: #251 of 1513 id: ojphi-4497 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 847 flesch: 57 summary: One of the limitations of the current algorithm is the small number of baseline weeks used. Using this adaptive scheme, baseline data where an alarm was flagged are down-weighted to reduce their effect on current predic- tions. keywords: baseline; model; outbreaks cache: ojphi-4497.pdf plain text: ojphi-4497.txt item: #252 of 1513 id: ojphi-4498 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 669 flesch: 33 summary: This uncertainty needs to be clearly communicated to decision makers who use results gen- erated from FMD intra-herd models and illustrates the need for more resources to be put into addressing the issue of basic parameters such as contact rate and disease state duration. Currently no studies have been conducted on the contact rate of animals on farms and the cur- rent values used for disease state durations vary drastically depend- ing on the data and methods used. keywords: disease; herd cache: ojphi-4498.pdf plain text: ojphi-4498.txt item: #253 of 1513 id: ojphi-4499 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 713 flesch: 42 summary: Given Vietnam’s location in SEAR and its recurrent outbreaks of zoonotic diseases— timely surveillance in Vietnam is critical to global public health.(1) Online news sources have been recognized as potential sources for early detection of emerging disease outbreaks, as was the case with SARS. (2) HealthMap, an innovative disease surveillance system de- veloped at Boston Children’s Hospital, leverages the expediency of online news media by using text-mining technology to monitor and map global disease outbreaks reported by news sources. keywords: boston; disease; system cache: ojphi-4499.pdf plain text: ojphi-4499.txt item: #254 of 1513 id: ojphi-4500 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 590 flesch: 41 summary: The NATO summit provided the opportunity for a demonstration project to assess the ability of an Amazon GovCloud instance of ESSENCE to ingest and process meaningful use data, and to export meaningful use surveillance data to the Cook County Locker in BioSense 2.0. Given the increased numbers of international and domestic visitors to the Windy City and the tension surrounding protesting during the summit, increased monitoring for health events within the city and Chicago metropolitan region was advised. keywords: cloud; essence; instance cache: ojphi-4500.pdf plain text: ojphi-4500.txt item: #255 of 1513 id: ojphi-4501 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 753 flesch: 35 summary: Results The crowd-sourced online registry for infectious disease experts to report CRE infections, called CaseFinder (http://casefinder.org/), was developed, released, and seeded with data from the EIN survey. Concurrently, we developed a formal relational data model for CRE infection survey data, allowing for analysis and visualization. keywords: cre; data; disease cache: ojphi-4501.pdf plain text: ojphi-4501.txt item: #256 of 1513 id: ojphi-4502 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 622 flesch: 42 summary: Unfortunately there was a negative tendency to increasing a part of dogs and cats in the structure of rabies disease which are the main source of rabies in people. Introduction In Ukraine in spite of considerable financial expenses on oral im- munization of foxes and parenteral immunization of dogs and cats, it is not succeeded to reach considerable results in the fight with rabies. keywords: dogs; rabies cache: ojphi-4502.pdf plain text: ojphi-4502.txt item: #257 of 1513 id: ojphi-4503 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 701 flesch: 48 summary: ISDS 2012 Conference Abstracts Usefulness of Syndromic Surveillance for Early Outbreak Detection in Small Islands: The Case of Mayotte Pascal Vilain*1, Olivier Maillard3, Julien Raslan-Loubatie2, Mohamed Ahmed Abdou3, Tinne Lernout2 and Laurent Filleul1 1Regional Office of the French Institute for Public Health Surveillance of Indian Ocean, Saint-Denis, Reunion; 2Regional Office of the French Institute for Public Health Surveillance of Indian Ocean, Mamoudzou, Mayotte; 3Hospital Center of Mayotte, Mamoudzou, Mayotte Objective To present the usefulness of syndromic surveillance for the detec- tion of infectious diseases outbreak in small islands, based on the ex- perience of Mayotte. [The development of non-specific surveillance in Mayotte and Re- union Island in the context of the epidemic influenza A(H1N1)2009] keywords: mayotte; outbreak; surveillance cache: ojphi-4503.pdf plain text: ojphi-4503.txt item: #258 of 1513 id: ojphi-4504 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 601 flesch: 55 summary: With the intensification of these efforts, ac- curate and timely data are needed to monitor impact of the interventions and guide malaria control program planning (2, 3). Major malaria control interventions between 2008 and 2010 in sub- counties where these sites are located included Indoor residual spray- ing (IRS) conducted in Aduku; insecticide-treated nets (ITNs) distributed in Nagongera and Kamwezi. keywords: control; malaria; uganda cache: ojphi-4504.pdf plain text: ojphi-4504.txt item: #259 of 1513 id: ojphi-4505 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 764 flesch: 39 summary: Conclusions This exercise successfully highlights rapid development and im- plementation of special event driven automated surveillance as well as collaborative approach between front-line entities such as emer- gency departments, surveillance researchers, and the department of public health. Surveillance data was timely and reliable 3. keywords: guardian; illness; nato; surveillance cache: ojphi-4505.pdf plain text: ojphi-4505.txt item: #260 of 1513 id: ojphi-4507 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 840 flesch: 41 summary: ISDS 2012 Conference Abstracts Poison Center Data for Public Health Surveillance: Poison Center and Public Health Perspectives Royal K. Law*1, Josh Schier1, Jay Schauben2, Katherine Wheeler3 and Prakash Mulay4 1Centers for Disease Control and Prevention, Chamblee, GA, USA; 2Florida Poison Information Center - Jacksonville, Jacksonville, FL, USA; 3New York City Department of Health and Mental Hygiene, New York City, NY, USA; 4Florida Department of Health, Tallahassee, FL, USA Objective To describe the use of poison center data for public health surveil- lance from the poison center, local, state, and federal public health perspectives and to generate meaningful discussion on how to ad- dress the challenges to collaboration. Many state and local PH agencies have partnerships with regional PCs for direct access to local PC data which help them perform this function. keywords: data; health; poison cache: ojphi-4507.pdf plain text: ojphi-4507.txt item: #261 of 1513 id: ojphi-4508 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 715 flesch: 36 summary: The construction of the evaluation framework was carried out in sev- eral steps: identification and definition of data streams, metrics and surveillance goals, and the determination of the relative importance of each metric to the respective surveillance goal being evaluated. Using this framework, we were able to use MCDA to assist in the evaluation of data streams and to determine which types would be of most use within a global biosurveillance system. keywords: biosurveillance; data; streams cache: ojphi-4508.pdf plain text: ojphi-4508.txt item: #262 of 1513 id: ojphi-4509 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 591 flesch: 48 summary: Those vaccinated with at least 1 dose of measles vaccine had a 3 times lower risk of measles infection than the unvaccinated. ISDS 2012 Conference Abstracts Case Based Surveillance for Measles in Lagos, South Western Nigeria, September 2011 Olawunmi O. Adeoye*1, Abimbola Aman-Oloniyo2, Patrick Nguku1, Abiola Oduneye2 and Modupe Dawodu2 1Nigeria Field Epidemiology and Laboratory Training Programme, Abuja, Nigeria; 2Lagos State Ministry of Health, Alausa, Ikeja, Lagos, Nigeria Objective The objective of this study was to describe the performance of the measles surveillance in Lagos, characterize the epidemiologic pat- tern of measles infection and determine the measles vaccine efficacy. keywords: lagos; measles; surveillance cache: ojphi-4509.pdf plain text: ojphi-4509.txt item: #263 of 1513 id: ojphi-4510 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 699 flesch: 46 summary: 1Regional Office of the French Institute for Public Health Surveillance of Indian Ocean, Saint-Denis, Reunion; 2University hospital, Saint-Denis, Reunion; 3University hospital, Saint-Pierre, Reunion; 4Hopital center, Saint-Benoît, Reunion; 5Hopital center, Saint-Paul, Reunion Objective To show with examples that syndromic surveillance system can be a reactive tool for public health surveillance. Conclusions Despite the improvement of exchanges with health practitioners and the development of specific surveillance systems, health sur- veillance remains fragile for the detection of clusters or unusual health events on small scale. keywords: health; reunion; surveillance cache: ojphi-4510.pdf plain text: ojphi-4510.txt item: #264 of 1513 id: ojphi-4511 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 668 flesch: 46 summary: Results System changes made between 2009 and 2012 included the cre- ation of “dashboards” (Figure 1) which present users with LHD-spe- cific charts and graphs upon login and increases in the distribution of syndromic surveillance information by the state public health agency. Since this time, both the NC DETECT system and distribution of syndromic surveillance infor- mation by the state public health agency have changed. keywords: health; surveillance cache: ojphi-4511.pdf plain text: ojphi-4511.txt item: #265 of 1513 id: ojphi-4512 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 838 flesch: 51 summary: ISDS 2012 Conference Abstracts Time of Arrival Analysis in NC DETECT to Find Clusters of Interest from Unclassified Patient Visit Records Meichun Li*1, Wayne Loschen2, Lana Deyneka3, Howard Burkom2, Amy Ising1 and Anna Waller1 1Emergency Medicine, UNC Chapel Hill, Chapel Hill, NC, USA; 2Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA; 3North Carolina Division of Public Health, Raleigh, NC, USA Objective To describe a collaboration with the Johns Hopkins Applied Physics Laboratory (JHU APL), the North Carolina Division of Pub- lic Health (NC DPH), and the UNC Department of Emergency Med- icine Carolina Center for Health Informatics (CCHI) to implement time-of-arrival analysis (TOA) for hospital emergency department (ED) data in NC DETECT to identify clusters of ED visits for which there is no pre-defined syndrome or sub-syndrome. The initial goal is to identify clus- ters of related ED visits whose keywords, signs and/or symptoms are NOT all expressed by a traditional syndrome, e.g. rash, gastroin- testinal, and flu-like illnesses. keywords: detect; toa cache: ojphi-4512.pdf plain text: ojphi-4512.txt item: #266 of 1513 id: ojphi-4513 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 751 flesch: 37 summary: Future fire model shows San Diego County will experience approximately two extreme fire seasons each decade by 2040. Future fire frequency was modeled for the entire region to determine the impacts of climate change on future fire and health outcomes. keywords: diego; fire; health cache: ojphi-4513.pdf plain text: ojphi-4513.txt item: #267 of 1513 id: ojphi-4514 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 755 flesch: 29 summary: Steps 2 and 3 were repeated for both detection and testing syndrome definitions. 4) Detection phase validation: a. ED negative case sample: Detection syndrome definitions were tested using a random sample of negative ED cases. This syndrome definition was developed with 25 articles containing positive anthrax cases used for detection, and the remaining 11 articles used for testing. keywords: cases; syndrome; validation cache: ojphi-4514.pdf plain text: ojphi-4514.txt item: #268 of 1513 id: ojphi-4515 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 612 flesch: 31 summary: Conclusions VA outpatient prescription data indicated that significantly more ILI and respiratory syndrome visits occurred compared to antiviral prescriptions dispensed with marginal temporal correlation between visits and antiviral prescriptions. However, azithromycin prescriptions tracked better across the entire influenza season (peaking at weeks 1-2 for both influenza seasons). keywords: influenza; visits cache: ojphi-4515.pdf plain text: ojphi-4515.txt item: #269 of 1513 id: ojphi-4516 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 739 flesch: 54 summary: Age groups were similarly distributed in total ED visits, heat-re- lated ED visits and EDC calls, with a 18 to 44 year old majority (37%, 37%, and 42% respectively), followed by 45 to 64 year olds (23%, 21%, 23%). Introduction Los Angeles County’s (LAC) early event detection system cap- tures over 60% of total ED visits, as well as 800 to 1,000 emergency dispatch calls from Los Angeles City Fire (LACF) daily. keywords: heat cache: ojphi-4516.pdf plain text: ojphi-4516.txt item: #270 of 1513 id: ojphi-4517 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 658 flesch: 42 summary: Keywords rabies vaccine; vaccine activity; street rabies virus isolates; genetic variants of rabies virus *Mykola Ivanov E-mail: IvanovNY@gmail.com Online Journal of Public Health Informatics * After the mathematical calculations of effective dose and the analysis of the data the less effective protection of rabies vaccines (at 29–30 %) against street rabies virus isolates belonging to cluster II in comparison with isolates belonging to cluster I irrespective to the strain vaccine is made was shown. keywords: rabies; virus cache: ojphi-4517.pdf plain text: ojphi-4517.txt item: #271 of 1513 id: ojphi-4518 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 776 flesch: 53 summary: Syndromic surveillance of scarlet fever through BNHI correlated with number of scarlet fever cases through notifiable disease reporting system. ISDS 2012 Conference Abstracts An Integrated Syndromic Surveillance System for Monitoring Scarlet Fever in Taiwan Wan-Jen Wu*, Yu-Lun Liu, Hung-Wei Kuo, Wan-Ting Huang, Shiang-Lin Yang and Jen- Hsiang Chuang Epidemic Intelligence Center, Taiwan Centers for Disease Control, Taipei City, Taiwan Objective To develop an integrated syndromic surveillance system for timely monitoring and early detection of unusual situations of scarlet fever in Taiwan, since Hong Kong, being so close geographically to Tai- wan, had an outbreak of scarlet fever in June 2011. keywords: fever; scarlet; taiwan cache: ojphi-4518.pdf plain text: ojphi-4518.txt item: #272 of 1513 id: ojphi-4521 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 781 flesch: 39 summary: A meeting of human health experts was organized back to back with a similar meeting with animal health experts in Paris, September 12-14, 2011. References 1.Zinsstag, J., et al., Potential of cooperation between human and animal health to strengthen health systems. keywords: health; human cache: ojphi-4521.pdf plain text: ojphi-4521.txt item: #273 of 1513 id: ojphi-4522 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 476 flesch: 38 summary: Fusion Analytics meaningfully augments traditional public and population health surveillance reporting by providing web- based data analysis and visualization tools. Conclusions We are currently in a unique position within public health. keywords: data; health cache: ojphi-4522.pdf plain text: ojphi-4522.txt item: #274 of 1513 id: ojphi-4523 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 607 flesch: 33 summary: This project has demonstrated the ability for local hospitals to send meaningful use syndromic surveillance data to the Internet cloud and provide public health officials tools to analyze the data both using BioSense 2.0 and ESSENCE. In February of 2012 ESSENCE was adapted to support meaningful use syndromic surveillance data and was installed on the Amazon GovCloud. keywords: surveillance; use cache: ojphi-4523.pdf plain text: ojphi-4523.txt item: #275 of 1513 id: ojphi-4524 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 837 flesch: 47 summary: For im- porting data the project adapted versions of Tarrant County and Cook County ESSENCE systems in the Amazon GovCloud to receive meaningful use syndromic surveillance data files sent from BioSense 2.0. The presentation will also describe the technologies employed for facilitating this, such as Mirth, and will discuss how other systems could utilize these tools to also support processing meaningful use syndromic surveillance data. keywords: data; surveillance; use cache: ojphi-4524.pdf plain text: ojphi-4524.txt item: #276 of 1513 id: ojphi-4525 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 685 flesch: 50 summary: Users were given numerous pages that showed different aspects of data quality, such as variable-level percent completeness measure- ments shown by hospital or county. Methods A series of data quality visualizations were developed and imple- mented in the Florida Department of Health’s version of ESSENCE. keywords: data; quality cache: ojphi-4525.pdf plain text: ojphi-4525.txt item: #277 of 1513 id: ojphi-4526 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 454 flesch: 44 summary: Conclusions We conclude that electronic medical record data are sufficient to categorize coronary heart disease and heart failure events without manual record review. The objective of this project was to identify criteria that accurately categorize acute coronary and heart failure events exclusively with electronic health record data so that the medical record can be used for surveillance without manual record review. keywords: health; record cache: ojphi-4526.pdf plain text: ojphi-4526.txt item: #278 of 1513 id: ojphi-4527 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 711 flesch: 45 summary: Of- ficials from across the National Capital Region (NCR) in Maryland, Virginia, and the District of Columbia determined that a web portal in which public health information could be securely posted on and captured by non-public health users (humans and computer systems) would be best. Based on the success of the tests, public health users in the NCR have begun working on the policy component of the project to determine when and how it should be used. keywords: health; information cache: ojphi-4527.pdf plain text: ojphi-4527.txt item: #279 of 1513 id: ojphi-4528 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 835 flesch: 46 summary: In this case the Inflated Zero models for the Generalized Poisson (ZIGP), Double Poisson (ZIDP) and Negative Binomial (ZINB) could be good alternatives to the joint modeling of excess zeros and overdispersion. Conclusions The Zero Inflated Double Poisson Spatial Scan Statistic for dis- ease cluster detection incorporates the flexibility of previous models, accounting for inflated zeros and overdispersion simultaneously. keywords: overdispersion; poisson; scan cache: ojphi-4528.pdf plain text: ojphi-4528.txt item: #280 of 1513 id: ojphi-4530 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 651 flesch: 33 summary: Accessed online at http://in- telligence.senate.gov/laws/pl11053.pdf. (2) The White House, National Strategy for Biosurveillance, July 2012. National Health Se- curity Strategy, December 2009. keywords: biosurveillance; national; nbic cache: ojphi-4530.pdf plain text: ojphi-4530.txt item: #281 of 1513 id: ojphi-4533 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 737 flesch: 35 summary: WA DOH sought to evaluate electronic data from WA outpatient clinic networks in order to determine if a syndromic ILI definition previously validated for emergency department (ED) data accurately identified ILI visits in electronic ambulatory care data. Introduction During summer 2012, Washington State Department of Health (WA DOH) surveyed ILINet providers and found that more than half either utilize their electronic medical record system (EMRS) to gather and report weekly ILINet data, or intend to implement queries to do so in the future. keywords: data; ili cache: ojphi-4533.pdf plain text: ojphi-4533.txt item: #282 of 1513 id: ojphi-4534 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 752 flesch: 23 summary: 1Early Warning Infectious Disease Surveillance (EWIDS), California Department of Public Health, San Diego, CA, USA; 2Universidad Autónoma de Baja California, Veterinary School, Mexicali, Mexico Objective To showcase One Border One Health, a binational, multidiscipli- nary initiative in the California/Baja California (CA/BC) border re- gion whose aim is to reconfigure traditional species-specific approaches to surveillance for emerging and re-emerging pathogens. Hence OBOH’s primary aim is to create and integrate early warning surveillance systems that gather data from disparate sources in order to protect and improve animal, human, and environmental health. keywords: border; health; surveillance cache: ojphi-4534.pdf plain text: ojphi-4534.txt item: #283 of 1513 id: ojphi-4535 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 852 flesch: 53 summary: Acknowledging the presence of templates and refining NLP algorithms to handle them improves information extraction from free text medical notes, thus creating an opportunity for improved surveillance using the EMR. DeLisle, S., et al., Combining free text and structured electronic med- ical record entries to detect acute respiratory infections. keywords: documents; templates; text cache: ojphi-4535.pdf plain text: ojphi-4535.txt item: #284 of 1513 id: ojphi-4536 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 667 flesch: 47 summary: [1] with text analyses of chest im- aging reports to identify ARI patients whose providers thought had pneumonia. For injections into the pneu- monia backgrounds time series, factitious ARI cases were further dis- counted by the expected pneumonia rate in the modeled influenza epidemic (10%). keywords: ari; pneumonia; surveillance cache: ojphi-4536.pdf plain text: ojphi-4536.txt item: #285 of 1513 id: ojphi-4537 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 691 flesch: 44 summary: ISDS 2012 Conference Abstracts New Strategy to Monitor and Assess Laboratory Biosafety Programs Heather N. Meeks1, Betiel H. Haile2, Ngozi A. Erondu2, Lisa Ferland2, Meeyoung Park2 and Scott J. McNabb*2, 3 1Defense Threat Reduction Agency, Basic & Applied Sciences, Fort Belvoir, VA, USA; 2Public Health Practice, LLC, Atlanta, GA, USA; 3Hubert Department of Global Health, Emory University, Rollins School of Public Health, Atlanta, GA, USA Objective To develop a toolset to monitor and assess laboratory biosafety program performance and cost Introduction Laboratory biosafety – a component of biosecurity – has specific elements that together, comprise a facility’s capability to both pro- tect employees and the surrounding public and environment. In the absence of a strategy and toolset, we developed a conceptual framework and toolset that monitors and assesses laboratory biosafety programs (LBPs) and pro- vides useful information (e.g., return on investment [ROI]) for deci- sion makers. keywords: biosafety; health; laboratory; logic cache: ojphi-4537.pdf plain text: ojphi-4537.txt item: #286 of 1513 id: ojphi-4540 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 712 flesch: 22 summary: The intent is that these pri- oritized pathogens will be used by government agencies to make in- formed decisions, integrating priorities from both nations with regards to infectious disease surveillance. One Border One Health (OBOH) is a binational, multidisci- plinary initiative aimed at engaging partners in the US and Mexico to identify and implement methods for successful communication and collaboration to enhance health capacity and disease surveillance within the border region. keywords: border; surveillance cache: ojphi-4540.pdf plain text: ojphi-4540.txt item: #287 of 1513 id: ojphi-4541 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 763 flesch: 49 summary: We collected 15 million tweets based on 32 broad keywords relat- ing to three types of risky behaviors associated with the transmission of HIV: drug use (e.g. meth), risky sexual behaviors (e.g. bareback), and other STIs (e.g. herpes). Initially we have focused on risky behaviors that can contribute to HIV transmission in a popula- tion, however, the methodology is generalizable. keywords: behaviors; data; disease cache: ojphi-4541.pdf plain text: ojphi-4541.txt item: #288 of 1513 id: ojphi-4542 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 786 flesch: 49 summary: The new International Health Regulations: considerations for global public health surveillance. 3. Wilson K, McDougall C, Fidler DP, Lazar H. Strategies for imple- menting the new International Health Regulations in federal coun- tries. keywords: health; international; public; surveillance cache: ojphi-4542.pdf plain text: ojphi-4542.txt item: #289 of 1513 id: ojphi-4543 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 769 flesch: 35 summary: Given that there is clear increas- ing focus on large health data sources; there are known data quality issues that hinder the utility of such data; and there is a paucity of medical literature describing approaches for evaluating these issues across integrated health data sources, we hypothesize that novel meth- ods for ongoing monitoring of data quality in rapidly growing large health data sets, including surveillance data, will improve the accu- racy and overall utility of these data. Keywords analytics; data quality; surveillance; system monitoring; information theory Acknowledgments keywords: data; entropy; health cache: ojphi-4543.pdf plain text: ojphi-4543.txt item: #290 of 1513 id: ojphi-4544 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 847 flesch: 50 summary: In 2007, less than 8% of individual SS records had a discharge diagnosis, and this was found to vary between hospitals (0- 69%); therefore, a comparison between SS discharge diagnosis and SPARCS diagnosis data was not possible. Overall city-wide daily counts and hospital-level annual counts for total ED, asthma-, oral health- and hypothermia-related visits were computed for SS ED data and SPARCS ED data. keywords: data cache: ojphi-4544.pdf plain text: ojphi-4544.txt item: #291 of 1513 id: ojphi-4545 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 803 flesch: 36 summary: At the intersection of public health, national security and health information technology emerged the practice of syndromic surveillance [3]. Introduction Public health disease surveillance is defined as the ongoing sys- tematic collection, analysis and interpretation of health data for use in the planning, implementation and evaluation of public health, with the overarching goal of providing information to government and the public to improve public health actions and guidance [1,2]. keywords: health; public; surveillance cache: ojphi-4545.pdf plain text: ojphi-4545.txt item: #292 of 1513 id: ojphi-4546 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 793 flesch: 50 summary: This corpus is then used to validate an authorship attribu- tion approach based on identifying near duplicate text in ad clusters, providing insight into how often anonymous individuals post sex- seeking ads and where they meet for encounters. By matching phone num- bers of this type across all ads, we can create a corpus of ad clusters known to be written by a single author. keywords: ads; cluster cache: ojphi-4546.pdf plain text: ojphi-4546.txt item: #293 of 1513 id: ojphi-4547 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 803 flesch: 41 summary: In light of recent outbreaks of pertussis, the ability of Florida De- partment of Health’s (FDOH) Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE-FL) to detect emergent disease outbreaks was examined. Based on system al- gorithms, reportable disease case weekly tallies are assigned an awareness status of increasing intensity from normal to an alert cat- egory. keywords: disease; essence; outbreaks cache: ojphi-4547.pdf plain text: ojphi-4547.txt item: #294 of 1513 id: ojphi-4548 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 682 flesch: 40 summary: There was good separation be- tween true positive tweets and false positive tweets, especially for the Experiencer: Self, Temporality: Current, Sentiment: Negative, Aspiration, Hyperbole, and Substance Abuse categories (see Table). The scheme was designed to differenti- ate true positive tweets (where an individual is experiencing respira- tory symptoms) from false positive tweets (where an individual is not experiencing respiratory symptoms), and to quantify more fine- grained information within the data. keywords: data; symptoms; tweets cache: ojphi-4548.pdf plain text: ojphi-4548.txt item: #295 of 1513 id: ojphi-4549 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 756 flesch: 39 summary: Allowing independent selection of spatial regions loses important temporal information while hard constraints on the spatial-temporal region will fail to capture the dynamics of the out- break. A meas- ure of 1 is a perfect match of spatial subsets across each time window and 0 would reflect disjoint space-time regions. keywords: detection; regions; time cache: ojphi-4549.pdf plain text: ojphi-4549.txt item: #296 of 1513 id: ojphi-4550 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 826 flesch: 34 summary: ASPR data were reviewed and analyzed by FDOH staff multiple times a day in near real time utilizing the existing ESSENCE-FL robust analysis tools. Introduction Florida has implemented various surveillance methods to augment existing sources of surveillance data and enhance decision making with timely evidence based assessments to guide response efforts post-hurricanes. keywords: aspr; data; essence cache: ojphi-4550.pdf plain text: ojphi-4550.txt item: #297 of 1513 id: ojphi-4552 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 767 flesch: 48 summary: In terms of trans- lating SA into public health surveillance practice [1], we will discuss and define the requirements of public health SA based on its devel- opment and practice in other areas [2]. Where does it fit within the current public health surveillance environment? To achieve the roundtable discussion objectives, the participants will work towards a consensus definition of SA for public health, and will outline measureable outcomes and metrics for evaluation of syn- dromic surveillance for public health SA. keywords: health; surveillance cache: ojphi-4552.pdf plain text: ojphi-4552.txt item: #298 of 1513 id: ojphi-4553 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 640 flesch: 41 summary: Conclusions This proof of concept system demonstrates the capability of mon- itoring and analyzing multiple available data streams to automatically detect and track infections without the need for manual data capture and entry. Methods A multi-stakeholder team consisting of experts from medicine, in- fection control, epidemiology, privacy, computing, artificial intelli- gence, data fusion and public health conducted a proof of concept from four complete years of admission records of all patients at the University of Ottawa Heart Institute . keywords: data; hospital; infections cache: ojphi-4553.pdf plain text: ojphi-4553.txt item: #299 of 1513 id: ojphi-4554 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 887 flesch: 56 summary: Results Minas Gerais state is located in Brazil south-eastern region com- posed of 853 municipalities or regions with an estimated population of 19,150,344 in 2005. Keywords Spatial scan statistics; flow of people; spatial flow scan algorithm; gravity models Acknowledgments SJF acknowledges the support by Fapemig, MG, Brazil. keywords: flow; people; regions cache: ojphi-4554.pdf plain text: ojphi-4554.txt item: #300 of 1513 id: ojphi-4555 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 816 flesch: 46 summary: ISDS 2012 Conference Abstracts Evaluating a Social Network Analytic Tool to Support Outbreak Management and Contact Tracing in an Outbreak of Pertussis Esther Munene*, S. Mottice and J. Reid Utah Department of Health, Slc, UT, USA Objective To determine the feasibility and value of a social network analysis tool to support pertussis outbreak management and contact tracing in the state of Utah. The Organizational Risk Analyzer (ORA): ORA is a computational tool that extends network analysis by using a meta-matrix model. keywords: network; ora; outbreak cache: ojphi-4555.pdf plain text: ojphi-4555.txt item: #301 of 1513 id: ojphi-4556 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 518 flesch: 37 summary: Also, by knowing what is happening across local borders, public health professionals can an- ticipate potential health problems and respond effectively to protect the health of all people. ISDS 2012 Conference Abstracts BioSense 2.0 Kelley G. Chester* RTI International, Milton, GA, USA Objective To familiarize public health practitioners with the BioSense 2.0 application and its use in all hazard surveillance. keywords: biosense; health cache: ojphi-4556.pdf plain text: ojphi-4556.txt item: #302 of 1513 id: ojphi-4557 author: Russell Talbert title: Layout 1 date: 2013-03-24 words: 692 flesch: 43 summary: 111 (page number not for citation purposes) ISDS 2012 Conference Abstracts Evaluating the Variation on Public Health’s Perceived Field Need of Communicable Disease Reports Uzay Kirbiyik*1, 3, Roland Gamache2, 3, Brian E. Dixon2, 3 and Shaun Grannis1, 3 1Indiana University, School of Medicine, Indianapolis, IN, USA; 2Indiana University, School of Informatics, Indianapolis, IN, USA; 3Health Informatics, Regenstrief Institute, Inc., Indianapolis, IN, USA Objective To assess communicable disease report fields required by public health practitioners and evaluate the variation in the perceived utility of these fields. Perceived need for the selected communicable disease reports fields. keywords: fields; health cache: ojphi-4557.pdf plain text: ojphi-4557.txt item: #303 of 1513 id: ojphi-4558 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 800 flesch: 49 summary: ISDS 2012 Conference Abstracts Enhanced Disease Surveillance during the 2012 Republican National Convention, Tampa, FL David Atrubin*, Michael Wiese, Rebecca Snider, Kiley Workman and Warren McDougle Hillsborough County Health Department, Tampa, FL, USA Objective To describe disease and illness surveillance utilized during the 2012 Republican National Convention (RNC) held August 26-30, 2012 in Tampa, FL. Introduction While the Tampa Bay Area has previously hosted other high pro- file events that required heightened disease surveillance (e.g., two Super Bowls), the 2012 RNC marked the first national special secu- rity event (NSSE) held in Florida. keywords: county; health; rnc; surveillance cache: ojphi-4558.pdf plain text: ojphi-4558.txt item: #304 of 1513 id: ojphi-4559 author: None title: ojphi-4559 date: 2013-05-15 words: 459 flesch: 37 summary: Conclusions The use of a multivariate method to integrate information from multiple sources of influenza surveillance data may have the poten- tial to improve forecasting of admission surge of respiratory diseases. ISDS 2012 Conference Abstracts Potential use of multiple surveillance data in the forecast of hospital admissions Objective keywords: data; influenza cache: ojphi-4559.pdf plain text: ojphi-4559.txt item: #305 of 1513 id: ojphi-4560 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 760 flesch: 33 summary: A large-scale train- ing was conducted in 2010; however, high staff turnover and a lack of backup surveillance staff at each site suggested that additional training may be needed. Due to the absence of a diagnostic test, the case definition was very simple to enable frontline staff in the com- munities and at the health posts/centers to identify disease cases. keywords: disease; ethiopia; surveillance cache: ojphi-4560.pdf plain text: ojphi-4560.txt item: #306 of 1513 id: ojphi-4561 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 802 flesch: 47 summary: Clinicians cannot differentiate GAS from other causes of acute pharyngitis based on the oropharynx exam, so con- sensus guidelines recommend use of clinical scores to classify GAS risk and guide management of adults with acute pharyngitis. With increasing emphasis on patient-centric health care and the well-documented barriers imped- ing clinicians’ incorporation of prediction models into medical prac- tice, this presents an opportunity to create a patient-centric model for GAS pharyngitis based on history and recent local epidemiology. keywords: gas; score cache: ojphi-4561.pdf plain text: ojphi-4561.txt item: #307 of 1513 id: ojphi-4562 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 808 flesch: 56 summary: Changes in syndrome count and composition at the level one change in word count were noted. The variations seen in CC word count may affect the quality and type of data received by the DOHMH, thereby affecting the ability to detect syndrome visits con- sistently. keywords: count; word cache: ojphi-4562.pdf plain text: ojphi-4562.txt item: #308 of 1513 id: ojphi-4563 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 785 flesch: 36 summary: For swine surveillance in the U.S., USDA-APHIS monitors the number of swine condemned for specific reasons. Following the call, the NPB in collaboration with VS at- tempted to validate the information reported by swine practitioners. keywords: erysipelas; surveillance; swine cache: ojphi-4563.pdf plain text: ojphi-4563.txt item: #309 of 1513 id: ojphi-4564 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 811 flesch: 39 summary: BioSense data could be used for AE de- tection, but linking AEs to MCM use would require follow-back in- vestigation. Conclusions These findings suggest that BioSense data could potentially con- tribute to rapid identification of safety issues for MCM and that some methods from published research could be applicable to the use of BioSense for this purpose. keywords: biosense; data; use cache: ojphi-4564.pdf plain text: ojphi-4564.txt item: #310 of 1513 id: ojphi-4566 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 506 flesch: 27 summary: Results Initial questions selected for the survey tool and subsequent dis- cussions include: What surveillance systems does your agency use for conducting influenza surveillance? Which surveillance systems require trained and experienced pub- lic health and informatics staff to maintain? Keywords situational awareness; influenza surveillance; H3N2v; resource lim- itations *Alan Siniscalchi E-mail: alan.siniscalchi@ct.gov Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(1):e169, 2013 keywords: influenza; surveillance cache: ojphi-4566.pdf plain text: ojphi-4566.txt item: #311 of 1513 id: ojphi-4567 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 717 flesch: 39 summary: Conceptual model for influenza surveillance statistical model Blue circles: unobservable true value; white boxes: observation; orange boxes: factors Hong Kong flu activity in 2009 pH1N1 outbreak Keywords situational awareness; modeling; epidemiology; influenza surveil- lance; Bayesian Acknowledgments CDC, Hong Kong University Center for Health Protection, Hong Kong SAR References 1.Zhang, Y., May, L., & Stoto, M. A. (2011). ISDS 2012 Conference Abstracts A Bayesian Approach to Characterize Hong Kong Influenza Surveillance Systems Ying Zhang*, Ali Arab and Michael A. Stoto Georgetown University, Washington, DC, USA Objective Our goal is to develop a statistical model for characterizing in- fluenza surveillance systems that will be helpful in interpreting mul- tiple streams of influenza surveillance data in future outbreaks. keywords: data; influenza; surveillance cache: ojphi-4567.pdf plain text: ojphi-4567.txt item: #312 of 1513 id: ojphi-4568 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 538 flesch: 34 summary: However, monitoring increases in cancella- tion of restaurant table reservations may be moderately useful for detecting epidemics especially in developing countries with limited public health infrastructures and resources. In this study, we evaluated whether a rise in restaurant table availabilities could be associated with an increase in disease incidence. keywords: restaurant; table; usa cache: ojphi-4568.pdf plain text: ojphi-4568.txt item: #313 of 1513 id: ojphi-4569 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 701 flesch: 41 summary: The aim of our study was to identify possible natural reservoirs of Salmonella Enteritidis among wild birds. 32.3% of all bacterial pathogens was Salmonella and more then half of them was the reprezentatives of serovar Salmonella Enteritidis. keywords: birds; salmonella; wild cache: ojphi-4569.pdf plain text: ojphi-4569.txt item: #314 of 1513 id: ojphi-4570 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 557 flesch: 41 summary: References [1] Carvalho, C. M.; Johannes, M.; Lopes, H. F. and Polson, N. Particle learning for sequential Bayesian computation. Keywords Bayesian inference; stochastic compartmental models; seasonal epi- demics; hidden Markov models Acknowledgments keywords: bayesian; inference; sequential cache: ojphi-4570.pdf plain text: ojphi-4570.txt item: #315 of 1513 id: ojphi-4571 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 704 flesch: 56 summary: References [1] Reis, BY, Kohane, IS and Mandl, KD, An epidemiological network model for disease outbreak detection, PLoS Medicine, vol. 4, p. 210, 2007. For example, the Cherry Blossom Festival brings hundreds of thousands of people to DC every year, which results in simultaneous elevations in multiple data streams (Fig. 1). keywords: baseline; data; outbreak cache: ojphi-4571.pdf plain text: ojphi-4571.txt item: #316 of 1513 id: ojphi-4573 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 723 flesch: 30 summary: Keywords dashboards; enhanced surveillance; Democratic National Convention Acknowledgments 1.Stephanie Griese, MD, MPH Lieutenant Commander, US Public Health Service EIS Officer, CDC, Communicable Disease Branch NC DPH 2. Aaron Fleischauer, PhD, MSPH,Commander, US Public Health Serv- ice,Career Epidemiology Field Officer (CEFO),Centers for Disease Con- trol and Prevention (CDC),Communicable Disease Branch NC DPH 3. ISDS 2012 Conference Abstracts Enhanced Surveillance during the Democratic National Convention, Charlotte, NC Lana Deyneka*1, Amy Ising2 and Meichun Li2 1North Carolina Division of Public Health, Raleigh, NC, USA; 2University of North Carolina, Chapel Hill, NC, USA Objective To describe how the existing state syndromic surveillance system (NC DETECT) was enhanced to facilitate surveillance conducted at the Democratic National Convention in Charlotte, North Carolina from August 31, 2012 to September 10, 2012. keywords: health; public; surveillance cache: ojphi-4573.pdf plain text: ojphi-4573.txt item: #317 of 1513 id: ojphi-4574 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 666 flesch: 36 summary: Introduction The evolution of novel influenza viruses in humans is a bio- logi- cal phenomenon that can not be stopped. A complementary approach to control transmission is contact tracing and quarantining, which are currently applied to sexually transmitted diseases (STDs). keywords: contact; influenza cache: ojphi-4574.pdf plain text: ojphi-4574.txt item: #318 of 1513 id: ojphi-4575 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 614 flesch: 49 summary: Keywords surveillance; Bayesian; sequential Monte Carlo; particle learning References [1] Gordon, Salmond, and Smith. This Rao-Blackwellization provides an SMC methodol- ogy with reduced Monte Carlo variance. keywords: approach; bayesian; particle cache: ojphi-4575.pdf plain text: ojphi-4575.txt item: #319 of 1513 id: ojphi-4576 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 291 flesch: 30 summary: ISDS 2012 Conference Abstracts Implications of ICD-9/10 CM Transition for Public Health Surveillance: Challenges, Opportunities, and Lessons Learned from Multiple Sectors of Public Health Peter Hicks*1 and Atar Baer2 1CDC, Atlanta, GA, USA; 2Public Health Seattle And King County, Seattle, WA, USA Objective To provide a forum for local, state, federal, and international pub- lic health/ health care sectors to share promising practices and les- sons learned in transitioning their organizations in the use of ICD-9 to ICD-10 codes for their respective surveillance activities. Keywords ICD-9; ICD-10; Transition *Peter Hicks E-mail: phicks@cdc.gov Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(1):e194, 2013 keywords: health cache: ojphi-4576.pdf plain text: ojphi-4576.txt item: #320 of 1513 id: ojphi-4577 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 806 flesch: 58 summary: A hierarchical generalized linear mixed effects model with hospital-level random effects was used to explore patient characteristics associated with PC syndrome visits. Results Citywide, 7.5% (N=190,431) of visits to EDs during 2011 were classified as PC syndrome visits, but varied by hospital with a median of 4.6% (IQR: 3% to 9%) across hospitals. keywords: syndrome; visits cache: ojphi-4577.pdf plain text: ojphi-4577.txt item: #321 of 1513 id: ojphi-4578 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 761 flesch: 51 summary: Advances and future directions in HIV surveillance in low- Further efforts are needed to improve HIV surveillance data and usage of this data to predict the epidemic. keywords: aids; hiv; india; surveillance cache: ojphi-4578.pdf plain text: ojphi-4578.txt item: #322 of 1513 id: ojphi-4579 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 586 flesch: 27 summary: This round table discussion will focus on the importance of non-communicable disease surveillance, attempt to elicit participant’s experiences in the surveillance of these condi- tions, and outline special needs for establishing cost-effective and sustainable methods for longitudinal tracking of non-communicable diseases. Keywords surveillance; Non communicable diseases; chronic diseases Acknowledgments Dr Weitzman’s work is supported by PO1HK000088-01 from the Centers for Disease Control and Prevention (CDC), National Library of Medicine grant 5R01LM007677 and 1U54RR025224-01 from NCRR/NIH. keywords: non; surveillance cache: ojphi-4579.pdf plain text: ojphi-4579.txt item: #323 of 1513 id: ojphi-4580 author: None title: ojphi-4580 date: 2013-05-15 words: 734 flesch: 39 summary: Six out of seven hospitals who answered (86%) reported the current method of sharing syndromic surveillance data on Online Journal of Public Health Informatics * Acceptability includes the willingness of partic- ipants to report surveillance data; participation or reporting rate; and completeness of data. keywords: respondents; surveillance cache: ojphi-4580.pdf plain text: ojphi-4580.txt item: #324 of 1513 id: ojphi-4581 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 641 flesch: 41 summary: Conclusions The condom utilization campaigns ought to focus on continuous reminders (instead of education programs) about how to persuade customers and other sex partners to use condoms, or to allow FSWs to use female condoms, and about where to go for HIV/STD testing and treatment. Results The Direct FSWs IBBS 2011 data of the Jayapura Municipality and Jayawijaya District showed that there are significant positive cor- relations between condom use behavior variables of FSWs (i.e., to know, to possess, to buy, and to offer male condoms) and variables of last-sex encounter condom use by customers, and between the latter and HIV and STD lab results. keywords: condom; fsws; use cache: ojphi-4581.pdf plain text: ojphi-4581.txt item: #325 of 1513 id: ojphi-4582 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 783 flesch: 44 summary: Methods DHMH partnered with the Maryland State Department of Educa- tion (MSDE), local health departments, and local school systems to incorporate school absenteeism data into the syndromic surveillance program. It has been established in the pub- lic health community that syndromic surveillance data, including school absenteeism data, has efficacy in monitoring disease, and specifically, influenza activity. keywords: data; health; school cache: ojphi-4582.pdf plain text: ojphi-4582.txt item: #326 of 1513 id: ojphi-4583 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 592 flesch: 23 summary: Keywords Biological Threat Reduction Program; Especially dangerous pathogens; Resource-poor setting *Laziz Tuychiev E-mail: laziz.tyuchiev@minzdrav.uz Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(1):e177, 2013 ISDS 2012 Conference Abstracts On the implementation of the Biological Threat Reduction Program in the Republic of Uzbekistan Laziz Tuychiev*1 and Marifjon Madaminov2 1Sanitary-Epidemiological Department of Ministry of Health, Tashkent, Uzbekistan; 2Center for Prophilaxis and Quarantine of Most Hazardous Infections of Uzbekistan, Tashkent, Uzbekistan Objective To review the implementation of the Biological Threat Reduction Program (BTRP) of the U.S. Defense Threat Reduction Agency in the Republic of Uzbekistan since 2004. keywords: threat; uzbekistan cache: ojphi-4583.pdf plain text: ojphi-4583.txt item: #327 of 1513 id: ojphi-4584 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 817 flesch: 54 summary: ISDS 2012 Conference Abstracts Using Google Dengue Trends to Estimate Climate Effects in Mexico Rebecca T. Gluskin*1, Mauricio Santillana2 and John S. Brownstein1, 3 1Boston Children’s Hospital, Boston, MA, USA; 2Harvard School of Engineering and Applied Sciences, Cambridge, MA, USA; 3Department of Pediatrics, Harvard Medical School, Boston, MA, USA Objective To evaluate the association between Dengue Fever (DF) and cli- mate in Mexico with real-time data from Google Dengue Trends (GDT) and climate data from NASA Earth observing systems. The time series meta-analysis results for 17 states showed an increase in minimum temperature at lag week 8 had the greatest odds of dengue incidence, 1.12 Odds Ratio (1.09-1.16, 95% Confidence Interval). keywords: data; dengue; temperature cache: ojphi-4584.pdf plain text: ojphi-4584.txt item: #328 of 1513 id: ojphi-4585 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 645 flesch: 35 summary: We have used demographical data, the incidence rate of HBV infec- tion of all population and different population groups (age, profes- sional and other groups), coverage of hepatitis B vaccination, the proportion of HBV carriers in population, the prevalence rate of chronic HBV infection, percent of dominated transmission routes and factors and other rates in Kharkiv region. Also the theoretical knowledge about HBV infection has been used. keywords: hbv; model; simulation cache: ojphi-4585.pdf plain text: ojphi-4585.txt item: #329 of 1513 id: ojphi-4586 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 810 flesch: 41 summary: ISDS 2012 Conference Abstracts Towards Estimation of Electronic Laboratory Reporting Volumes in a Meaningful Use World Brian E. Dixon*1, 2, 4, Roland E. Gamache1, 2 and Shaun J. Grannis3, 2 1School of Informatics, Indiana University, Indianapolis, IN, USA; 2Regenstrief Institute, Indianapolis, IN, USA; 3Indiana University School of Medicine, Indianapolis, IN, USA; 4Center of Excellence on Implementing Evidence-Based Practice, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service, Indianapolis, IN, USA Objective To support health department estimation of future electronic labo- ratory report volumes from hospitals that achieve Stage 2 meaning- ful use. The Stage 2 criteria require eligible hospitals to submit electronic laboratory reports to health departments. keywords: departments; disease; health; laboratory cache: ojphi-4586.pdf plain text: ojphi-4586.txt item: #330 of 1513 id: ojphi-4587 author: Han Qin title: ojphi-4587 date: 2013-06-28 words: 7737 flesch: 57 summary: To improve the trustworthiness of web GIS applications, Skarlatidou and her colleagues point out that the responsibility is on the person or organization supplying the web GIS application, the trustee, to establish the necessary trust attributes. According to the authors, there are two main types of trustee attributes which must be developed to foster increased trusts in web applications, perceptual attributes and functional attributes. keywords: application; arrest; cardiac; development; disagree; gis; hospital; map; ohca; rates; task; users; web cache: ojphi-4587.pdf plain text: ojphi-4587.txt item: #331 of 1513 id: ojphi-4588 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 644 flesch: 51 summary: ISDS 2012 Conference Abstracts Risk and Protective Factors for Arthritis Status and Severity Masaru Teramoto*1, Fred Breukelman2, Ferdinando A. Gatto2 and Sheniz Moonie3 1Health Sciences, Drexel University, Philadelphia, PA, USA; 2Delaware Health and Social Services, Dover, DE, USA; 3University of Nevada, Las Vegas, Las Vegas, NV, USA Objective To examine how cigarette smoking, alcohol consumption, obesity, and physical activity are associated with the risk and severity of arthritis among adults living in Delaware. Introduction Research has indicated several risk and protective factors for arthritis, including cigarette smoking, alcohol consumption, obesity, and physical activity (1–4). keywords: activity; arthritis; risk cache: ojphi-4588.pdf plain text: ojphi-4588.txt item: #332 of 1513 id: ojphi-4589 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 801 flesch: 41 summary: The objective of this manuscript is to present a systematic review of biosurveillance models that operate on select agents and can fore- cast the occurrence of a disease event. Introduction One of the primary goals of this research was to characterize the viability of biosurveillance models to provide operationally relevant information to decision makers, in order to identify areas for future research. keywords: data; disease; models cache: ojphi-4589.pdf plain text: ojphi-4589.txt item: #333 of 1513 id: ojphi-4590 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 533 flesch: 50 summary: Introduction There are several reports of zinc deficiency in pathogenesis of acute and chronic diarrhea. The literature review showed children with diarrhea and chronic gastroduodenitis performed zinc deficiency in majority of cases (1). keywords: children; zinc cache: ojphi-4590.pdf plain text: ojphi-4590.txt item: #334 of 1513 id: ojphi-4591 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 778 flesch: 50 summary: We therefore test the feasibility of using Twitter for Asthma surveillance, using techniques from NLP and machine learning to achieve a deeper understanding of what users Tweet about Asthma, rather than relying only on keyword search. ISDS 2012 Conference Abstracts #wheezing: A Content Analysis of Asthma-Related Tweets Gwendolyn Gillingham*1, Michael A. Conway2, Wendy W. Chapman2, Michael B. Casale3 and Kathryn B. Pettigrew3 1Linguistics, UCSD, La Jolla, CA, USA; 2UCSD - Division of Biomedical Informatics, La Jolla, CA, USA; 3West Health Institute, La Jolla, CA, USA Objective We present a Content Analysis project using Natural Language Processing to aid in Twitter-based syndromic surveillance of Asthma. keywords: asthma; tweets; twitter cache: ojphi-4591.pdf plain text: ojphi-4591.txt item: #335 of 1513 id: ojphi-4592 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 664 flesch: 40 summary: Conclusions Using the Stata TSA dialogue box saves time when performing rapid exploratory TSA of epidemiological data, avoiding the need for complex programming which is still needed for sophisticated TSA. Results of exploratory TSA analysis can trigger new hypothesis, for more advanced and sophisticated TSA. The introduction of a new technology (Stata TSA dialogue box) does not replace multi-disci- plinary approach, knowledge and application of a methodological ap- proach to TSA to produce meaningful results that can inform public health decision making. keywords: analysis; data; tsa cache: ojphi-4592.pdf plain text: ojphi-4592.txt item: #336 of 1513 id: ojphi-4593 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 679 flesch: 53 summary: Treatment of rectal cancer among these pa- tients is further complicated because they are ineligible for radiation treatment of rectal cancer due to the high-dose pelvic radiation re- ceived during prostate cancer treatment. Does Radiation Treatment of Prostate Cancer Cause Rectal Cancer? John W. Morgan*1, 2, Brice Jabo1, Mark E. Ghamsary1 and Kevork Kazanjian3 1Dept Epidemiology, Biostatistics & Population Medicine, Loma Linda University School of Public Health, Loma Linda, CA, USA; 2Desert Sierra Cancer Surveillance Program, Region 5 of California Cancer Registry, Loma Linda, CA, USA; 3Dept of Surgery, Division of Surgical Oncology, Loma Linda University School of Medicine, Loma Linda, CA, USA Objective We sought to assess whether external beam radiation (RAD) treat- ment of prostate cancer, that exposes the rectum to ionizing radia- tion, was followed by increased hazards for rectal cancer, relative to prostatectomy (SURG). keywords: cancer; prostate; treatment cache: ojphi-4593.pdf plain text: ojphi-4593.txt item: #337 of 1513 id: ojphi-4594 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 739 flesch: 32 summary: ISDS 2012 Conference Abstracts A Binational Influenza Surveillance Network – California/Baja California Esmeralda Iniguez-Stevens*, Sarah Marikos and Karen Ferran EWIDS, California Department of Public Health, San Diego, CA, USA Objective To enhance cross-border surveillance for Influenza-Like-Illness (ILI) in the California/Baja California (CA/BC) border region through the formation of a border binational surveillance network. Fig- ure 1 shows the geographical location of network sites, which includes sites recruited by EWIDS post-assessment as well as pre- existing sites. keywords: border; network; surveillance cache: ojphi-4594.pdf plain text: ojphi-4594.txt item: #338 of 1513 id: ojphi-4595 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 809 flesch: 29 summary: The survey adopted elements of the SWOT (Strength-Weaknesses-Opportunities-Threats) analysis to determine the system’s strengths and weaknesses as well as to solicit users’ perspectives on the efficiency of the system in as- sisting with disease surveillance data entry and visualization. Currently, eight DoD part- ner laboratories are actively entering respiratory pathogen data into the RDD, encompassing specimens from sentinel sites in eleven countries: Cambodia, Colombia, Kenya, Ecuador, Egypt, Honduras, Nicaragua, Paraguay, Peru, Uganda, and the United States. keywords: data; rdd; surveillance; user cache: ojphi-4595.pdf plain text: ojphi-4595.txt item: #339 of 1513 id: ojphi-4596 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 793 flesch: 36 summary: The authors thank JC Cantrell, VA IOC Director, and VA IOC staff for helpful interactions regarding reporting. Some Reports, such as the one on possible infectious diseases issues after hurricane Irene in August, 2011, were subsequently shared by VA IOC with VHA Op- erations and with field facilities, thus highlighting the potential for facilitating provision of timely subject matter expertise for local re- sponse. keywords: bio; ioc; smec cache: ojphi-4596.pdf plain text: ojphi-4596.txt item: #340 of 1513 id: ojphi-4597 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 814 flesch: 57 summary: Methods We examined methods to detect transient changes in data sources, which manifest as classical outliers. To enable real- time monitoring for data quality problems we modified this offline detection process to in addition flag individual change points (rather than pairs of change points) detected in the most recent 5 days. keywords: change; data; distribute cache: ojphi-4597.pdf plain text: ojphi-4597.txt item: #341 of 1513 id: ojphi-4598 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 738 flesch: 48 summary: ISDS 2012 Conference Abstracts TRACnet: A National Phone-based and Web-based Tool for the Timely Integrated Disease Surveillance and Response in Rwanda Kayumba Kizito*1, Kabeja Adeline2, Koama Jean Baptiste3, Asiimwe Anita2, Binagwaho Agnes4, Pamela Johnson5 and Nyatanyi Thierry2 1Voxiva SARL, Kigali, Rwanda; 2Rwanda Biomedical Center, Kigali, Rwanda; 3CDC Rwanda, Kigali, Rwanda; 4Ministry of Health, Kigali, Rwanda; 5Voxiva Inc, Washington, WA, USA Objective (1) To describe the implementation of the electronic system for in- tegrated disease surveillance in Rwanda. To enhance its preparedness to iden- tify and respond to outbreaks and prevent epidemics, the Government of Rwanda has developed and deployed an electronic Integrated Dis- ease Surveillance and Response (eIDSR) working with Voxiva with funding from the U.S. Centers for Disease Control and Preven- tion(CDC). keywords: disease; rwanda; system cache: ojphi-4598.pdf plain text: ojphi-4598.txt item: #342 of 1513 id: ojphi-4599 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 867 flesch: 60 summary: In California and in many states, birds, espe- cially corvids, are used as sentinel animals to detect WNV activity. Recent seroprevalence studies have shown WNV activity in different wild mammalian species (1-3); in the United States, WNV sero- prevalence in some studies in raccoons has ranged from 34-46% (3,4). keywords: diego; raccoons; san; wnv cache: ojphi-4599.pdf plain text: ojphi-4599.txt item: #343 of 1513 id: ojphi-4600 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 817 flesch: 51 summary: We devel- oped contact networks using proximity sensor data, providing visu- alizations of contact patterns as well as numeric contact measures. Contact networks were characterized with respect to degree distribu- tion, and density. keywords: children; contact; school cache: ojphi-4600.pdf plain text: ojphi-4600.txt item: #344 of 1513 id: ojphi-4601 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 715 flesch: 25 summary: By formally articulating and describing each of these steps, in a structured manner, we hope to contribute to the dialogue of de- veloping useful practices for leveraging electronic health data to meet public health surveillance challenges. During the 2009 H1N1 pandemic response, CDC acquired access to data from several national-level health informa- tion systems that previously had been un-vetted as public health in- formation sources. keywords: data; health; response cache: ojphi-4601.pdf plain text: ojphi-4601.txt item: #345 of 1513 id: ojphi-4602 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 609 flesch: 41 summary: Statistical performance for illustrative CDAs that combined structured EMR parameters with or without text analyses are shown in the Table. Conclusions Automated text analysis of chest imaging reports can improve our ability to separate outpatients with pneumonia from those with a milder form of ARI. keywords: ari; pneumonia; text cache: ojphi-4602.pdf plain text: ojphi-4602.txt item: #346 of 1513 id: ojphi-4603 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 698 flesch: 41 summary: Sentiment toward tobacco among Twitter users is more positive than negative, affirming Twitter’s value in understanding positive sentiment. Ubiquitous online marketing of these products and their popularity among new and younger users make Twitter a key resource for tobacco surveillance. keywords: sentiment; tobacco; twitter cache: ojphi-4603.pdf plain text: ojphi-4603.txt item: #347 of 1513 id: ojphi-4604 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 609 flesch: 31 summary: Layout 1 The International Society for Disease Surveillance held its eleventh annual conference in San Diego on December 4th and 5th, 2012, under the theme Expanding Collaborations to Chart a New Course in Public Health Surveillance. There were also discussions on the impact of regulations and standards development on disease surveillance, in- cluding Meaningful Use and the International Health Regulations. keywords: disease; health; surveillance cache: ojphi-4604.pdf plain text: ojphi-4604.txt item: #348 of 1513 id: ojphi-4605 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 723 flesch: 44 summary: ISDS 2012 Conference Abstracts One World, One Health, One Medicine: An Assessment of Intersectoral Collaboration in Avian Influenza Control in Lagos State Abimbola Aman-Oloniyo*1, Olalekan Allison2 and Musbau A. Razaq3 1Lagos State Ministry of Health, Nigeria; 2Lagos State Ministry of Agriculture and Cooperatives, Nigeria; 3Lagos State Ministry of Information, Nigeria Objective To assess the collaborative efforts in Avian Influenza control that could be harnessed for the control of other Zoonotic diseases. Between March 2006 and September 2007 Avian influenza (AI) outbreaks occurred in 99 poultry farms in Lagos State (3). keywords: health; influenza; state cache: ojphi-4605.pdf plain text: ojphi-4605.txt item: #349 of 1513 id: ojphi-4607 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 699 flesch: 42 summary: Apps can tend to be quite simple, and even slight changes from what is pro- grammed – a predictable situation with the variability seen in disease surveillance realm - will result in an epidemiologist having to get a software developer to make them a new App. Methods Instead of the power for adaptability remaining solely in the con- trol of software developers, that power needs to also be in the hands of the users themselves. The App Store feature allows software developers, including the public health academic community, to add new methods to the envi- ronment, while the composability feature allows ad-hoc combina- tions of Apps to suit particular situations. keywords: apps; environment; software cache: ojphi-4607.pdf plain text: ojphi-4607.txt item: #350 of 1513 id: ojphi-4608 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 759 flesch: 39 summary: Introduction Analyses produced by epidemiologists and public health practi- tioners are susceptible to bias from a number of sources including missing data, confounding variables, and statistical model selection. Methods Older approaches to imputing missing data, including mean im- putation and single imputation regression methods, have steadily given way to a class of methods known as “multiple imputation” (hereafter “MI”; Rubin 1987). keywords: carrect; data; imputation cache: ojphi-4608.pdf plain text: ojphi-4608.txt item: #351 of 1513 id: ojphi-4609 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 712 flesch: 23 summary: Next steps include testing the system’s capa- bility to accurately classify and rapidly respond to a cluster of calls to PCs reporting radiation exposures associated with a “dirty bomb” exercise during July, 2012. One data source for surveillance of radiological exposures and illnesses is regional poison centers (PCs), who receive information requests and reported exposures from healthcare providers and the public. keywords: exposures; health; radiation cache: ojphi-4609.pdf plain text: ojphi-4609.txt item: #352 of 1513 id: ojphi-4611 author: Russell Talbert title: Layout 1 date: 2013-05-15 words: 729 flesch: 42 summary: Conclusions We extend applicability of DAD algorithm to handle wide variety of input data distributions and various outbreak models. The graphs represent average days-to-detect performance of 100 sets with synthetically injected clusters using additive-scaled (AS), additive-unscaled (AU), and mul- tiplicative-scaled (MS) models of cluster interactions. keywords: clusters; dad; data cache: ojphi-4611.pdf plain text: ojphi-4611.txt item: #353 of 1513 id: ojphi-4623 author: Dr Maged N Kamel Boulos title: ojphi-4623 date: 2013-07-01 words: 4098 flesch: 62 summary: Google Scholar produced records for ~95% of the papers cited by Chou et al. ISSN 1947-2579 * http://ojphi.org * Vol. 5, No. 2, 2013 OJPHI Table I. Articles missing in Google Scholar (as at 5 February 2013) and their original database sources where Chou et al. found them. keywords: chou; google; health; papers; reviews; scholar; science; search; web cache: ojphi-4623.pdf plain text: ojphi-4623.txt item: #354 of 1513 id: ojphi-4634 author: Sara Shahbazi title: ojphi-4634 date: 2013-06-28 words: 3024 flesch: 46 summary: Criteria Weighting Combination No.3 Discussion Clearly, variation in the explicit weighting of objective criteria can dramatically change the rankings of health outcomes which are used to derive community health status priorities. Why is this capability necessary in understanding community health status priorities? keywords: community; criteria; health; journal; olap; priorities; public; status cache: ojphi-4634.pdf plain text: ojphi-4634.txt item: #355 of 1513 id: ojphi-4654 author: Your User Name title: ojphi-4654 date: 2013-06-28 words: 10221 flesch: 40 summary: Cultural compatibility with sex education: Despite the taboo-relatedness surrounding the subject of sexuality, intervention teachers in the CIS believed that breaking the taboos was less blameworthy than risking youthful lives with HIV/AIDS and pregnancy: I see, but though some people are against it [sex education], the fact remains the fact; we have to give them the right information, we have to tell them to use condoms if they can’t abstain, otherwise, we can’t remain quite when AIDS is finishing our youth, when our girls are getting pregnancies and dropping out of schools [intervention teacher, CIS]. Community involvement Involved communities and parents Community was not involved Perceived students’ vulnerability: The head teachers and intervention teachers in the CIS perceived the intervention to be of greater benefit due to high perceptions of students’ vulnerability to HIV/AIDS and teenage pregnancies. keywords: adoption; aids; ais; cis; education; health; health education; hiv; implementation; intervention; issues; program; school; social; students; teachers cache: ojphi-4654.pdf plain text: ojphi-4654.txt item: #356 of 1513 id: ojphi-4667 author: None title: ojphi-4667 date: 2013-08-01 words: 4068 flesch: 54 summary: Since internet usage by gender and age is inversely associated with participation in prevention courses by gender and age, informing about health activities through the internet may help to attract young adults and males, who are the more frequent internet users but have less interest in health promotion activities. It was initiated by two German states to link health information from disparate sources and to organize this information in a user-friendly way. keywords: access; berlin; health; information; internet; portal; prevention; promotion; web cache: ojphi-4667.pdf plain text: ojphi-4667.txt item: #357 of 1513 id: ojphi-4669 author: jdd title: ojphi-4669 date: 2013-07-02 words: 5271 flesch: 41 summary: Sustainability also depends on the governance model selected, as operational costs can vary significantly by governance model selected. University of Utah Health Care (UUHC) is an academic, integrated healthcare delivery system. keywords: area; consent; focus; governance; health; information; maturity; model; policy; public; smpi; statewide; utah cache: ojphi-4669.pdf plain text: ojphi-4669.txt item: #358 of 1513 id: ojphi-4696 author: None title: ojphi-4696 date: 2013-06-28 words: 3247 flesch: 47 summary: Key Words: Electronic Medical Records, Immunization Registries, EMR integration, HITECH, Meaningful Use Abbreviations: California Immunization Registry (CAIR), Computerized Physician Order Entry (CPOE), Electronic Medical Record (EMR), Health Information Technology for Economic and Clinical Health Act (HITECH), Health Level 7 (HL7), Immunization Information System (IIS), Information Technology (IT), Lucile Packard Children's Hospital (LPCH) Immunization registries in the EMR Era 2 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * Vol. 5, No. 2, 2013 OJPHI Introduction Since their inception nearly 20 years ago, immunization registries have been shown to increase vaccine coverage rates and decrease duplicate immunizations. Immunization registries in the EMR Era 3 Online Journal of Public Health Informatics * keywords: cair; data; emr; health; immunization; information; link; registries; registry cache: ojphi-4696.pdf plain text: ojphi-4696.txt item: #359 of 1513 id: ojphi-4703 author: Michael Coletta title: Sustainable Surveillance Paper - 10.01.2012NM.docx.docx date: 2013-06-28 words: 4327 flesch: 33 summary: A lack of consistent and sustainable funding is hampering the necessary expansion and improvement of public health surveillance systems at local, state, and national public health agencies. 10 The value of public health surveillance 1. keywords: data; disease; enterprise; funding; health; health surveillance; informatics; journal; online; public; steps; surveillance; systems; webcite cache: ojphi-4703.pdf plain text: ojphi-4703.txt item: #360 of 1513 id: ojphi-4726 author: Choudhry,Ali title: ojphi-4726 date: 2013-07-01 words: 6411 flesch: 39 summary: Additional readmission risk prediction models were developed (33, 34), but they did not publish their performance statistics to help us compare our prediction models. Data captured through EHRs is growing, but are incomplete with respect to data relevant to hospital readmission prediction and the lack of standard data representations limits generalizability of predictive models (36). keywords: acc; care; data; day; derivation; discharge; health; hospital; model; performance; prediction; readmission; risk; statistic; validation cache: ojphi-4726.pdf plain text: ojphi-4726.txt item: #361 of 1513 id: ojphi-4790 author: Mensah, Edward title: ojphi-4790 date: 2013-08-02 words: 2062 flesch: 38 summary: Wu Xu et al. describe efforts to create a statewide Master Person Index in Utah to uniquely identify each individual receiving healthcare or public health services. Shahid Choudhry, Jing Li et al. utilized electronic health records data and a mixed- method risk prediction model to evaluate post-discharge risk factors. keywords: data; health; journal; ojphi; public; records; vol cache: ojphi-4790.pdf plain text: ojphi-4790.txt item: #362 of 1513 id: ojphi-4813 author: Mensah, Edward title: GIS and ICD-10.docx date: 2013-08-02 words: 1212 flesch: 49 summary: OJPHI A Decision Support Tool for Using an ICD-10 Anatomographer to Address Admission Coding Inaccuracies: A Commentary Christopher M. Bell 1, 2 , Arash Jalali 2, 3 , Edward Mensah 3 1 University of Illinois Hospital & Health Sciences System, 2 University of Illinois at Chicago, Biomedical and Health Information Sciences, 3 University of Illinois at Chicago, School of Public Health The Proposed ICD-10 Anatomographer Much focus has been given to the pending adoption of ICD-10 coding standards in the US. Keywords: decision support, ICD-9 to ICD-10 transition, anatomography Correspondence: keywords: anatomographer; health; icd-10; tool cache: ojphi-4813.pdf plain text: ojphi-4813.txt item: #363 of 1513 id: ojphi-4814 author: None title: ojphi-4814 date: 2014-02-05 words: 12681 flesch: 43 summary: Apps as a ‘medical device’: regulation in USA and Europe Through guidance first released in draft form in July 2011, the US FDA defined “a small subset of mobile medical apps that may impact on the performance or functionality of currently regulated medical devices and as such, will require FDA oversight” The FDA has already cleared a handful of mobile medical apps keywords: 2012; 2013; applications; apps; certification; concerns; content; control; data; device; diabetes; doi; fda; happtique; health; health apps; health informatics; healthcare; http://ojphi.org/; informatics; issn; journal; management; medical; mobile; ojphi; online; patients; public; pubmed; quality; smartphone; standards; state; study; text; users cache: ojphi-4814.pdf plain text: ojphi-4814.txt item: #364 of 1513 id: ojphi-4826 author: DHHS title: ojphi-4826 date: 2014-02-05 words: 2799 flesch: 47 summary: Benefits and drawbacks of electronic health record systems. The implementation and regular use of EHR systems is clearly on that list as is the partnership developed between federal, state, local, and private entities involved in disaster planning. keywords: department; disaster; emergency; health; medical; new; records; system cache: ojphi-4826.pdf plain text: ojphi-4826.txt item: #365 of 1513 id: ojphi-4847 author: Scholcomm User title: ojphi-4847 date: 2014-02-05 words: 7572 flesch: 40 summary: Discussion The process of acquiring, managing, and sharing public health data at the local level is complex. Themes and corresponding categories regarding public health information systems (IS) and technology. keywords: community; data; disease; health; information; lhd; management; online; practice; public; pubmed; quality; records; sharing; state; systems; use; work cache: ojphi-4847.pdf plain text: ojphi-4847.txt item: #366 of 1513 id: ojphi-4865 author: Sena title: ojphi-4865 date: 2014-02-05 words: 4170 flesch: 44 summary: This growing ubiquity of mobile phones is a promise of the use of mobile technologies for providing mobile health interventions. The uniqueness of this work is to apply social behavior theories to engineer the MPCS to positively influence patients’ compliance behaviors, including mobile-delivered contextual reminders based on association theory; mobile triggered questionnaires based on self- perception theory; mobile enabled social interactions based on social construction theory, also explained how mobile phone can help patient to comply to their medication treatment; the existence of mobile phones and its uses in health sectors in Nigeria [12]. keywords: adherence; health; healthcare; journal; mobile; patients; phone; pubmed; sms; support; system; technology; text; voice cache: ojphi-4865.pdf plain text: ojphi-4865.txt item: #367 of 1513 id: ojphi-4903 author: BEN title: ojphi-4903 date: 2014-10-16 words: 3767 flesch: 43 summary: Conclusion: New tools are being developed for the purposes of providing information to patients and the public which has enhanced decision making in health matters and an avenue for clinicians and consumers to exchange health information for personal and public use. [4] who defines CHI as any electronic tool, technology, or system: (a) primarily designed to interact with health information consumers (anyone who seeks or uses healthcare information for non-professional work); (b) that interacts directly with the consumer who provides personalized health information to the to the CHI system and receives personalizes health information from the tool or system and (c) in which the data, information, recommendations or other benefits provided to the consumer may be used with a healthcare professional, but is not dependent on a healthcare professional. keywords: applications; care; consumer; health; healthcare; ict; informatics; partnership; patient; provider; public cache: ojphi-4903.pdf plain text: ojphi-4903.txt item: #368 of 1513 id: ojphi-4933 author: None title: ojphi-4933 date: 2014-02-04 words: 10943 flesch: 47 summary: These characteristics of PH data pose a challenge to the PH workforce in terms of whether and how effectively the data is used. In this paper we refer to any individual seeking to use PH data in a profes sional capacity as a stakeholder. keywords: activities; analysis; analytics; challenge; data; health; information; journal; online; ph data; public; pubmed; reasoning; representations; stakeholders; tasks; tools; user; va tools; visualization cache: ojphi-4933.pdf plain text: ojphi-4933.txt item: #369 of 1513 id: ojphi-4938 author: None title: ojphi-4938 date: 2014-02-25 words: 3999 flesch: 38 summary: View of an ILI broad and ILI narrow comparison for a de-identified jurisdiction in Distribute system implementation Web site. Keywords: syndromic surveillance, secondary use of health data, Internet, public health standards, surveillance practice Correspondence: lober@uw.edu DOI: 10.5210/ojphi.v5i3.4826 keywords: community; data; distribute; health; implementation; influenza; informatics; journal; jurisdictions; project; site; surveillance; system cache: ojphi-4938.pdf plain text: ojphi-4938.txt item: #370 of 1513 id: ojphi-4939 author: Brian E. Dixon title: ojphi-4939 date: 2014-02-04 words: 4840 flesch: 39 summary: Because the number of patient days is readily available to other health departments wishing to leverage these results, we stratified notifiable disease cases from each facility using number of patient days. The anticipated increase in volume includes three types of notifiable disease cases. keywords: cases; departments; disease; elr; health; increase; informatics; laboratory; patient; public; pubmed; reporting; reports; use; volumes cache: ojphi-4939.pdf plain text: ojphi-4939.txt item: #371 of 1513 id: ojphi-4943 author: Afari title: ojphi-4943 date: 2014-02-05 words: 4369 flesch: 50 summary: They can be particularly powerful in monitoring the outbreak and spread of disease, disseminating health information (including information about health-promoting and disease- preventing individual behaviour), and providing training, information and long-distance http://ojphi.org/ Electronic Health in Ghana: Current Status and Future Prospects 2 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(3):e230, 2014 OJPHI quality health care from the convenience of their phones and has succeeded in revolutionalising access to health information and advice for Ghanaians as it provides important information that would help Ghanaians make the best health decisions. keywords: countries; data; ghana; health; information; journal; medical; mobile; online; project; public; research; technology; use cache: ojphi-4943.pdf plain text: ojphi-4943.txt item: #372 of 1513 id: ojphi-4982 author: None title: ojphi-4982 date: 2014-02-04 words: 8831 flesch: 41 summary: The accessibility and use of mammography resources has a greater impact on breast cancer in Mississippi than does the geographic resource distribution per se. Most notably, despite their lower incidence rates for breast cancers, Black women die from these diseases at higher rates than do White women, and this trend has persisted for many years keywords: black; breast; breast cancer; cancer; cancer mortality; correlation; data; facilities; health; incidence; mammography; mississippi; mortality; percentage; population; public; pubmed; resources; women cache: ojphi-4982.pdf plain text: ojphi-4982.txt item: #373 of 1513 id: ojphi-4990 author: None title: ojphi-4990 date: 2014-02-05 words: 4036 flesch: 57 summary: The rates of Lyme disease cases by county did not match the rates of Lyme disease visits by county. Lyme disease is a reportable condition, and Lyme disease surveillance in Maine is a passive system. keywords: data; disease; lyme; maine; outpatient; surveillance; visits cache: ojphi-4990.pdf plain text: ojphi-4990.txt item: #374 of 1513 id: ojphi-4996 author: None title: ojphi-4996 date: 2014-03-02 words: 8580 flesch: 60 summary: Defining the Influenza form using Xforms Xforms as mentioned earlier is a model to represent form data using xml. Android and ODK based data collection framework to aid in epidemiological analysis 1 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(3):e228, 2014 OJPHI Android and ODK based data collection framework to aid in epidemiological analysis A. Raja1, A. Tridane2, A. Gaffar1, T. Lindquist 1and K. Pribadi3 1. keywords: analysis; android; application; collection; data; data collection; form; framework; health; information; journal; odk; online; public; reacap; user; xml cache: ojphi-4996.pdf plain text: ojphi-4996.txt item: #375 of 1513 id: ojphi-5036 author: scholcommuser title: ojphi-06-e121.pdf date: 2014-04-22 words: 3943 flesch: -325 summary: ����� ���$��� ������������������������ ��������������� ��� ����������� � �������������������� ���� ��������� ����� ��� ���� ����=���������� � �!����������� �#���� ����$��� ������� ��� � �� ���������������������� 4� �������� ��/��������������������������������!�������������&@������ ��� �������� �13�1����� ���� # References 2#���������������������� �� �������� �������� ��������� ������ ��������� ��������#�����4�� ��?��$�)**2�/��������8�#A����2*+2)# )#� ���� �� 3#� ����������� �� �� � � ������ ����� ��� ���� ������� �������� �� ��� � ����B � �� #� ������� ����� � � � ��� ��� ��� ��#� )* 149 (page number not for citation purposes) ISDS 2013 Conference Abstracts An Evaluation of the Key Indicator Based Surveillance System for International Health Regulations (IHR) -2005 Core Capacity Requirements in India 1Public Health Foundation of India (PHFI), Indian Institute of Public Health - Hyderabad, Hyderabad, India; 2Directorate of Health, Department of Health, Medical & Family Welfare, Government of Andhra Pradesh, Hyderabad, India; 3Public Health Foundation of India, New Delhi, India; 4Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; 5London School of Hygiene and Tropical Medicine, London, United Kingdom � �� �� �� � � �� �� �� � Objective ������� �� ���� � ������� ����� � ���������������� ����� ������� ���� ��� ��������� ����� ����� � ������������� ����� ������� ��� � ������� ���� �������� � � ���� ����������� �� �� �� ������ ����� ��� ���� �������������� ������ �!����������� ����������# Introduction ���� ����� � � ���� $��� ���������� �� ��� ����� ����� � ���� ��� ���� �������� ��� � � � ���� ����� ����� ����� ���� �� ��� �� ������� � ��� %��������������������&'()** keywords: -+ � cache: ojphi-5036.pdf plain text: ojphi-5036.txt item: #376 of 1513 id: ojphi-5040 author: Sandy title: 5040-38639-1-CE.pdf date: 2014-05-24 words: 128 flesch: 14 summary: 94 (page number not for citation purposes) ISDS 2013 Conference Abstracts Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data Alison Levin-Rector*1, Ana Corberán-Vallet3, Andrew B. Lawson2, Ramona Lall1 and Robert Mathes1 1NYC Dept of Health and Mental Hygiene, Queens, NY, USA; 2Medical University of South Carolina, Charleston, SC, USA; 3University of Valencia, Valencia, Spain Objective Introduction Methods Results Conclusions Keywords References *Alison Levin-Rector E-mail: alevinrector@health.nyc.gov Online Journal of Public Health Informatics * 5040-38639-1-CE.pdf ISDS Annual Conference Proceedings 2013. keywords: isds cache: ojphi-5040.pdf plain text: ojphi-5040.txt item: #377 of 1513 id: ojphi-5041 author: scholcommuser title: 5041-37947-1-SM.pdf date: 2014-04-22 words: 2256 flesch: -209 summary: ��%�&�0����1��������)��� �� �� ��� ���� � �2���� � � � ��!�#� ������� � ��� �����)���#�����$� �����& Results ����)� ���'���'����# �3�� ������� ���������������� ��( ����)� ����##� �� ��� � � � ��)� �����)�������!�����������!����&� �����##� � $��#���##� �� � ������)� ���� � ����� � � � �4� ���0��( ��1���������#��������5*&�6�� 5�&*��)���*&7����#�����%5*&6�� 5�&*�� )���*&86���#�����%5*&6�� 5�&*��)���*&87���#�����%5*&6�� 56&*��)��� *&89��)�� ���'�� ��� �� �����%5*&6�� 5�&*������ �����'��� ��##� � $� ���!�����& Conclusions ��������������� ������� �� � ���$��������� ���$�� � � � � ������� ���$� � �)� ����� ( � ���� � $�!���������� ��#� ��� �$� )� ���'��)� ����'�� ������ ��� $� �� ��$� ���'��� ���� ���'��� ��� ��( ��� �� � � ���&�:���� ��'������ ��� $�������� �#� � $��#� ��� ��( ���������%5*&6�� 5�&*��)��� ��������� ����� � ��� ����&���������� ������ ������)� ������ ���� � ����� ���� ! 129 (page number not for citation purposes) ISDS 2013 Conference Abstracts Application of EWMA and CUSUM models to School Absenteeism Surveillance for Detecting Infectious Disease Outbreaks in Rural China Qin Qin1, Jing Wu1, Jie Zhang1, Li Tan1, Yunzhou Fan1, Li Liu1, Lihong Tian1, Ying Wang1, Hongbo Jiang1, Sheng Wei1, Vinod K. Diwan2, Weirong Yan1, 2 and Shaofa Nie*1 1Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; 2Division of Global Health (IHCAR), Department of Public Health Science,Karolinska Institutet, Stockholm, Sweden � �� �� �� � � �� �� �� � Objective �������� �� ����� � ��� ���������� �� ��� ����� � � � ����������� ����������������������� ���������� ������!��� ���� �� ������� �� #� ��� �$��� � �����#���#� ������������� ! keywords: � � cache: ojphi-5041.pdf plain text: ojphi-5041.txt item: #378 of 1513 id: ojphi-5049 author: scholcommuser title: ojphi-06-e18.pdf date: 2014-04-03 words: 3152 flesch: -282 summary: �� �������� ����� � ���������� � ��������������������# Introduction $��������� � ���� �� ���������� � ���� ��������� �� ����� ��� ��� ��� ��� ���� ����� ��������� ��� ������ ��������� � ����� ����� � ������ ��� �� ���� ��%�&�#�'����������������� � �������� ��� (��� � � � � �������� �� �� ���� ���������� ���� � ����������#�) ���� ��� ��� �� ��������������� � ���� ������ � ���� ������������� ��� ��� �� ���� � � � �� �������� ��*� �� �� � ���� ��� ���� ������ ����������� �� ��������������� ��� ������������� � ������� � �� ��������������� � ����� �� ������ ������ ���������� ����+ � ����������� �� �� �,--./ ,-%%��0�#�1� � �(�������������� ������ ��� ���������� �� ���� (� ������� �� ��� (����� ���������� ��� ����������� � ���� ������ ���������� ����������������� �������������� �� ������ ������������ � �# Methods ) �������� ��� ��������� � ���� ������ �������+ �� ��1 ����� 2�� �3�� ���%%..������ �� �������$�� �� ��,--.����3 � �� ��,-%,� ��� ����������������� ����45�������2�����(�+ � �(� � ������ ����� � ���������� �� �� ���� ���� ����������� ��� ���6!7������ �� ���������� � �� ������ �� ��������� ������ ������8������ �9���� 8��� �������������9������!��8� � �9�����8�����9�#�3��������� � � � ���� �� ������ ��� � ��� �� �6����������� ����� ������� ������� ���� ����������������������� ���� �� �������� �� � ����&#-#,-%&�-:� %,������;<< #�����= ��#����#�+ � ������������ ������� � � � � � � ��� ��������� > �!�����������2��� �������!2�������� ���� �� � �������� � � � ������ ��� ����� ��� *��� �� ������7+��#�?�� �� ����� ������� ����������� ���� � � � �����@-A�����@:A(�� � ���� ��(� ���� � �� ������ � ��� � ����� #�?�� ������� ������� ����������� �� ��� � � � �����@-A�����@:A(�� � ���� ��(����� � �� ������ � ��� � ����� # Results B� � � ������6!7����� �� �� �������� �������� ������ ����� ��������� ����� ������������!! � ��� ���� � ����� � � �������������� �� #�B�� ������������������� ���������� � �������� ����� � ���� �� � �� ����� ������� ����� ����� ������� �������# Keywords +��������� ��� ������ D������ ���� � �����D�3��������� � D�3� � � ����� ��D�'������1 �����+��� ������ Acknowledgments B�� � ���� � � ���� �� ��� �� � + �� �� 2����� 2������ ��� � �� ���� �7+E�# References %#�3��� � �����(�2��� ��3(�+������(�� ������(�2��� �����F(�G ����� �� $(� �� ��#� ����������� ��� ��������� ��� ������ � �� �� ��� $�������� 1 �����+ ���� �3�� ���� ��� ������H������������)�� #�77)6� 7����7������)����6 �#�,--:�����,ID:0�+����;%%.�,,# ,#�+�����+(���������4(�7���������2(�7�����3(�1���� � ��2�J�4(���� � +(� ����#�G��� ���� ��������� ��� ������ ����������������������� �� � ����� ������ ����� ���������� ����2����� ���������� ����� ���� $���������� ��� (� ?��� �� K������(� 4�� � �� 4���� ,--C#� ����� +��� � ���#%:�&&�;%@I0&# &#�L���)K(�B �� �K+(������ ��(�K� ������K(�K���������7(�'��� ��6(� �� ��#�B � ���� ������ � ���� ����������� � �������������� � ����� ����� #� '�+��� #�,--@D0�0�; :,I-# 0#���� � ���B(�E= ������'(�1������(������4(�+� ������+(�)�� � ����� 7#�+��������� ��� ������ ���������������� ���� � ����������� �� � � ;� ��������������� ��� ����� �������� ��� ��� �� ���� ����� � ���� � ����� (� ���� ��*� �� ������� ���� ������ ����������� �� #����� � �����!�� ��#�,-%&�7���%:;%�%%# *Micael Widerström E-mail: micael.widerstrom@jll.se� � � � Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 6(1):e18, 2014 keywords: k � cache: ojphi-5049.pdf plain text: ojphi-5049.txt item: #379 of 1513 id: ojphi-5054 author: scholcommuser title: ojphi-06-e22.pdf date: 2014-04-03 words: 3881 flesch: -668 summary: 10 (page number not for citation purposes) ISDS 2013 Conference Abstracts Cervical Cancer Knowledge,Screening Service Utilization and Predictors of Precancerous Cervical Changes: A Population Based Survey of Sexually Active Women in Lagos, South Western Nigeria Olawunmi O. Adeoye*1, 2, Olufunmi Fawole3, 2, Ike Ajayi3 and Patrick Nguku2 1University College Hospital, Ibadan, Nigeria; 2Nigeria Field Epidemiology and Laboratory Training Programme, Abuja, Nigeria; 3Department of Epidmiology and Medical Statistics, UCH, Ibadan, Nigeria � �� �� �� � � �� �� �� � Objective �������� ������������ ��� ��������������� �������� ����������� �� ����������������� ����������� ��� ��������� �������� �� � ���� ������ �� ����� ������ ��������������������������� ������������������������ ���� ��� Introduction � ����������� ����������������������������� !� �� ��� ��� ����� � ��������������� ��������������� ������ ���������� ������������� ����� ����������������� ����������� ������������� �������� ������ ����� ���� ����������� ��� ��������� �������� �� ������ ������ ������ ��������������� ���� ��������� �!��� ��������������� ��� �������������� !��� ���� Methods ������� ����������������!��� ��� ����������������� �������#������ ���������������������$���������� �����������%%&�������� ����� ��� �������������'��� ������# ����(�'#�)����������*������*�� ��� ���� ��������� ���������!����+,� �� ��������������� ��������� ��������� ����� ���������� ���������� ������� �������������� ����������� ��#� -.����������� ����� �� ������� � �������� ���� � �$���������� ������ ��� ������������ ����/��� �������0������/���������������#������#�� � (0/#)��� �0������/��������������������1��/� ����(0/�/)��� �� ���� ��� ������� ������ ��������������������� �����#�� ������ ������ ��� ��������������� ����� �����������!�����������������������0/#��� � ��������������������0/�/��2������ ������� ��� �������� �$�������� �� �� ��� ������� ����$�� ���� �3 ���������4 ��5�����(345)��� �� ��� ����������� ���������������3 � ���� ����� ����������� ������ ���� �� ���������������� �� ��� ���� ���������������� �� ����������������� ������������������������,6� Results #����������%,7������!����������� �� �� ���� �!���%%&��������� �� ��������� �������� �������8,6������������������ ����� ����1������ ��������%8�7� �� ��9:�+7�������� ���� �� �(&&;<�=.�=6)��4�� � (+%,)�-+�86���� ����� ������� ����� ������� ����������� ��%&�%6� ���������� ���� ������� ���������� ������������������� ����� � ��������� �� ���� ��������������������� ����������� �������(=,�86� �� �&-�-6� ���������� )��4�� �++(%�%6)���� ����� ������� ���� � �� ����� ����������� ��� ������� ������ �������� ���� ��� ������� � >�����3���������0� ���(>30)�2�#��� ��������� �>30���������� 5����� �������������� �������?����� ���������������� ����� ������� ���������� �������������� ������� ���������� ������������ � ������ ����������������� �������(����������� ��� ����������� �������)��@345� 7�&-�(8,6� /<�7�7.�7�=.)��#������������� ������ �� ��� �������������� ���������� ������� ���(8<�-7�86)������ ����������� ������ � ������ �������������� ������� ���(&<�&�%6)��� ��� ���������������� ������� ����� �! �3������� �� �0/#?0/�/� ����������� ����������(�AB7�77+)�� ����������� ��������������� ����� ���������!������ ���� ��� ��� � ����������� ��� ��!������������� ������������������ �����(+,<�%+�%6)� �� �����������!���� ������ �������������� �(+,<% +�%6)����� ������� ����� (-%)��� �3 ������ ������ ��������������������� �� �@345-�&;(8,6� /C�+�8,�8�%8)D���� � ����������@345�+,�;&(8,6� /C�;�,&��%&�.%)D�� ������������������ ��� ����@345�+.�=.(8,6� /C�.�;=�%8�.-)D��� � ��������� �����@345�+-�-=(8,6� /C�=�,%��%&�7%)D��� ����������� � ������ ������ ������ ���������������>����� �������������� �� �������� ��� ������������������� ��� ������ ��� � ����������� � ���� �������� � ������ ������ �������������@#45�8�=8(8,6� /�%�&8��&.�,7)��� � @#45�;�8%(8,6� /�%�&7�+8�=)� ���������� D� � Conclusions ��� ��������� ������� ����� ���������������������� ����������� � �� ��������� �������������� ��������������� � ������� ������������ !������������������������� ��� ������� � ������������ ��������� �� ����� ������ ��������������� ���� ��� ������������������� ��������� �� � ���������������������� ���������� �!������������ ��������� ��� ������ ����� ���������������� �������������������� � ������������ ���������� ��������� ��� �������������� ��������� ����� ��������������������� Keywords � ����������� <������� ��<������������<������<�3 ������ ������ ������ ������� References +��#E� ��/��# ������/��F����� ����� �#����� �����'��� ���4���������� #���� ����� ������� ��� ��� � ������ ���� �� ����#� � G�� �+88.� H�!<--(&)C-+�%� &��/#5 �'�4I4 #���/#5 �>�� !�������� ���� ��3 ���������� � ���� ���� �*� ��������� ����H ����C�/��� ���������#���� �5���� ������ ���� ��&77.� %���������G��4���4E������ ��F��4���#E� ��/��4���4���!� ���#��4���H������ 4��/��J�4�� ����4���3����������I��� �3 ������������#!�� ���� � � ������ ����� �H�� ������� �������5����H���� �����/!� �������� ��C� /�������������� � � ������ ���� � ��� ���3 �� ������ �>�����3����� �����0� ���/�������������#���� �����&7+&��,=��&,+�.� *Olawunmi O. 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Ferland E-mail: lferland@publichealthpractice.com� � � � Online Journal of Public Health Informatics * keywords: usa � cache: ojphi-5073.pdf plain text: ojphi-5073.txt item: #381 of 1513 id: ojphi-5092 author: scholcommuser title: crappdf.pdf date: 2014-04-03 words: 3456 flesch: -318 summary: 1#AA�#��&��������� �� �� &� ����� ������� �� ���������� ��#� ;�� ���%�:#B<���� &�����$����������%�(#2<���� &������ ��� ���� $ , ����%�����1#2<���� &��� ����� ���� , ������� ���� �� ���� �����5��� ��� � & ��&�������(���������� �(11�����@���� &����� �� ������� ��� ��� ����� ����� ���� , ������� �� ���� � &��� & ��&���%���������������$ � ���� �� �,��� �� &���������� &��� , ���# Conclusions �������������������� ������������������ �� ����� �������� �� ���� � , ������������ ������� �%�� �� ��� �C �� ����� � ����������D � $ ��� ������������ ��� � �#�0 &� �� �%�,�� ������ � �� ����������� ���������� ������ ��� � �%� &������������&������� $�� � &���� �%� �� ������ , ����� ����� ��� �� ��#� �������������&������������� � ����#��������� ��� � ��������� &��&�������� �� ����������&� �� � �� ���%������������ ��&���� � ���$ �� ���������� � #��� � �� ������� ���&��� &� � �C � �������� �C �� � �$ �� ��������,������� ��� �&��� &����� ��� �� ���������� ������� �� �� ,� � ��� �� , ������ �� ���# Keywords /�������������������@�; , ������ �� ���@�!��� � ��� References (# &��%�E#�����/#F#��&���� %�������� � ����������� ��3���� ��� ��� ����$ �����%�(6=+$(626#���#�.� ��� ���������� �������������� ��3����� &�� ������������ � �������� ��3���� ��� �#����7�!��������%�(6:(#�((B�B�9� �#�++2$BG# +#����%�F#�#�����E##������%�������� ��������������� ����� ������ $ ���������#�F� ��������� ����������%�+11B#�B9��#�+# *Robert Mathes E-mail: rmathes@health.nyc.gov� � � � Online Journal of Public Health Informatics * 142 (page number not for citation purposes) ISDS 2013 Conference Abstracts Evaluating a Seasonal ARIMA Model for Event Detection in New York City Jessica Sell and Robert Mathes* New York City Department of Health and Mental Hygiene, Queens, NY, USA � �� �� �� � � �� �� �� � Objective ������� � ������������ � �� ��������� �� � ������������� ���� ����������������� �� ����� ���������������������� �� � ����� �� ��� ���������� ��� ��!������ ������� �# Introduction ������������� ������ ���� ����� � �� ������� � ����������� � �� ���� ����� � ������������� ���� � ���� ������ � ��� ���� �$ ��� �%��������� ����� �� ����������� ���� &����� ������������ ������ ������ ����������� ������� ��'()#�*&������� � ���� �&�� ��� �� &�� ��� ������������������������� �� �������� � &��������� ������ ����$ ������'+)%� &� ��&���,������ ������� � ���������������������-��� �$ ���� ����� , ������ �� ��������,��� ���#�*��, �� ���������������� ��� ����� �������� �� ���� �� ���� , ��������!����� ������� �#� �&����� &����������������& �,������� ���������� � �������� ������� �� � � ��� &����� ���.#�/�����0� ��� ��� Methods !����� ������� �� ���+112$+1((��� ������������������� &��%���$ �� ��3�$���������������4��%����� $�� %� ���� � � �%�� ����� ����� ����%� ,���������&������������ � �5 #����������������������������, �� ��� � ���&����� ���� �����������!����� ������ � ��� ���+112� & � �&� +116#�� ��,� ������� �������7 ���+116��� ������� ��� ����������� $ �� ��� �������� ���� ���� �������� &���� ������ ��������!����� �� &� ���� ���� ���� &��8(�(����� ��3��� , ���#��&����������������� �����������������(%(%(�5�1%(%(�2��� &���� �������� ���$�� ��� ���� �� ��� � �� ������ � ��� ���������� ����#� ���� �� � �� �� �� �������������������-��,��� �� ��� ����� ������ �� �� �� , ����%����� � ������ ��� ���� ��� �� ���,������������� ��� �� ���� , ���� ����,������������,�� ������ �!��� ��� ��� +1(1$+1((#��& ���� , ���� ������� ��� �� ��9�������������������%��� ���� ��� ���� , ����,��������������$� ��������������� ���$���� ��� �5��� �%�������� ����� ���� , ����,��������������$� ���� �� ���� $ ���$ �$�� ���� ����������#���� � ������(:1����� � ������ ��� ���� �� � �� ����� ����&���� &����������� ����#�;�� &��611� � ����� ��� �%�+1<� ��� ������������������������%�=1<�&��������� ��� ���� , ���%����� +1<�&������ ����� ���� , ���#�/������ & ��&������� ���� �� ��� �� �� �� � �����,�� ������ &����� ���� ������� ����� ���������������� &�� � ����������$��������� �#�/���� ��� ��������������� ���� ������ �� ��� �� ����&����� ��������� , ���� ���#�������� ���� � � ��&� �� � �� ��� ��; ��� ������ ������ � ����� ����&����� ���%�� � ������,��� $ , ���� ���#��&��� ��� ��� � &��� �����> ���������� �� ��# Results �&��������,��� ���� ��� ����� � ����.! keywords: � � cache: ojphi-5092.pdf plain text: ojphi-5092.txt item: #382 of 1513 id: ojphi-5103 author: scholcommuser title: crappdf.pdf date: 2014-04-03 words: 3809 flesch: -524 summary: 64 (page number not for citation purposes) ISDS 2013 Conference Abstracts Examining the Human Element in Lab Biosafety Betiel H. Haile1, Mark Wade2, Patricia Blevins2, Andrew Cannons3, Richard France3, Lisa D. Ferland1, Affan Shaikh1, Meeyoung Park*1, Ngozi Erondu1, Sean G. Kaufman4, Heather Meeks5 and Scott J. McNabb1, 4 1Public Health Practice, LLC, Atlanta, GA, USA; 2San Antonio Metropolitan Health District, San Antonio, TX, USA; 3Bureau of Public Health Laboratories-Tampa, Tampa, FL, USA; 4Emory University, Atlanta, GA, USA; 5Defense Threat Reduction Agency, Ft. Belvoir, VA, USA � �� �� �� � � �� �� �� � Objective ��� ���� ����� � �� ���������� ��� � ��� ���� ��� �� ��� ������ ���� ��� ���������� � Introduction ������ ��� ����� ������� �� ���������� �� ������������ � ��� �� ���� ����� ������������� ��� �� ���������� ������ ����������� ��� ��� � ��� ����� ��� �������������� ������ �� ��� ��!#�� ��$������������ ������ ���� %���� � ������ � ������ �$%��� �� � ���� ��� ����� � � ��&� ����� ��� � � ��� ���� ��� �� �� � ������ � ��� ���� ������� �� � � ���������� � �� �� �� ��'���� ��� �(� �� ��'��� �������� �&������� �'('������� ��)�������� � ������ ����%���� ��) %��*+,�� ����������#� �-�������&�� ���� � ���� �-�� �� ��� �� � � ����� ��� $%����� �&��� ��� ������ ����� � �� ��������� ��.��������� ��� ����� � �*/,��� �� '('0) %1 ���� ���������2�� ������������������������������� ���� �� �*�2��,�� ��� ��� ��� ����������� ��� ���� #����������3� � ���� ���� �� ��� �������������� ������� ������� �*4,��5� � �������� ��� �� ��� ������ �6�� � 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Carr, Mark Freese, Janet Hendricks, Michael Stephens, Erik Pedersen, Kandis Brown, Christopher Grant, Jamie Hobson, Jessica Ruble, William Albrecht, Tajah Blackburn, Todd Boddenhamer and Teresa Quitugua National Biosurveillance Integration Center (NBIC), Department of Homeland Security (DHS), Washington, DC, USA � �� �� �� � � �� �� �� � Objective �������� �� �� ���� ������� ���������������������� � ���������� �� ���� ��������������������������������� �������� �������� ��� � ���� ����! #��������$������%&'����(� Introduction ���� ������)� ���*�������� ����'��������� ��� ���� ���#+,,� ����� ����-� ����.//0�12������3�4�,,/�5678� ��� � ���������� �������������� ���� ������� ���1 ���7�� ���� ���4� ���� ���9���� � ��� ����!�������������� )�������� ������� ����� � �������������)� 4����������� ������ � �� �������4����� ������� ����������������� � ���� ����� ��� ������� ��� ��)��������������)���� ��� ����� �������� ��� ���� � �8������8����� ��������������� ��� ���� � �� � ������� ��� ���������� 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� � ���� �� ���� Keywords 3���� ����� ���4������ � �����������4��� ����� ��� Acknowledgments ����� ���������� ��� ��������� ������ �� � ����� � ���5� ��� ��6����� + ��%� ��- �� ��7��� �0�� ���8�9 :((#� References ��3 � ��� ����5� �� ���������� & ��&���� � ��� � ��� �� ��� ���� �� ����������� ���% ���������� � ������� ������ ����;�����$������� ,-<� ������ ������� �((*4�9�9#8*9:&)*� ��. ��.!�3� 2�� �=!�$���� � ���!�> � � ��!�?�����.!�3�� �� ��+��3��& � � ������� & ��&���� � ������ ����� ������ �� ����� �� ����������� ��� �� � � ��&@�%�A� ���� ���33?��(()4�)9������8�9 &B� *Shaofa Nie E-mail: sf_nie@mails.tjmu.edu.cn� � � � Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 6(1):e57, 2014 130 (page number not for citation purposes) ISDS 2013 Conference Abstracts Over-the-counter Medication Sales Surveillance for Early Detection of Respiratory Epidemics in Rural China Qin Qin1, Liwei Cheng1, Li Tan1, Yunzhou Fan1, Li Liu1, Lihong Tian1, Ying Wang1, Hongbo Jiang1, Sheng Wei1, Vinod K. Diwan2, Weirong Yan1, 2 and Shaofa Nie*1 1Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; 2Division of Global Health (IHCAR), Department of Public Health Science,Karolinska Institutet, Stockholm, Sweden � �� �� �� � � �� �� �� � Objective �������� �� ����� ������ �������������������� ����� ����� ��� � � ����� �� ������� ���� � ��������������� � ������ Introduction ����� � �� ����� ����� ���� ���� �� ��� ��� � ������� ���� ���� ��� ������ � ������ ��� ������� ��������� ��� � � ������� � ��� � ���� ��������������� ���� �� �� ����� � � ��� !�#��$�%��� !���%� ��� ������ ����� �� ���� ������ ����%�� �� ����� � ���� ����� � ������ ����� ���� � ����� � � �������������������� ���� ��� ���� ��� ��� ��� ������$� �!�%�������� ��� �%��&� �������� ������� ����& � ������� ���%� ������ � ���� ���� ���� �� � ���� � ��������������� � �� � �������� � Methods '(����������� ������ � ���� � ������� ��������� ����� �������� ����� ������������� � � ���� ���!�)� � ��� � ���!�*(��������������� ��������!� ���**����������� ��� � ���+ ���,� �� � � �������*( �� ( !�� ����� �%� �������� ���� ���*��� � �������� %�� � ������& �������$�����- ������!���� ������ ! keywords: � � cache: ojphi-5144.pdf plain text: ojphi-5144.txt item: #387 of 1513 id: ojphi-5166 author: scholcommuser title: crappdf.pdf date: 2014-04-08 words: 3292 flesch: -995 summary: 120 (page number not for citation purposes) ISDS 2013 Conference Abstracts Sero-prevalence of Brucellosis in Humans and their Animals: A Linked Cross-sectional Study in Two Selected Counties in Kenya Eric Ogola*1, Samuel Thumbi2, Eric Osoro3, Peninah Munyua4, Sylvia Omulo1, Peter Mbatha1, Linus Ochieng1, Doris Marwanga1, Ian Njeru3, Muriithi Mbaabu5, Salome Wanyoike5 and Kariuki Njenga4 1Kenya Medical Research Institute, Kisumu, Kenya; 2Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA; 3Ministry of Health, Nairobi, Kenya; 4Centers for Disease Control and Prevention, Nairobi, Kenya; 5Ministry of Agriculture, Livestock and Fisheries Development, Nairobi, Kenya � �� �� �� � � �� �� �� � Objective ��������� ���������� �������� ���� ��� ������� ���� ��������� � � �� ����� ��� ����� ��� ����� ���� �� �� ��� ������ � � ��� �� �� ���������� ����� �������� ����������� �������� �������� ����� �� ��� ������� ����� ��� ���� ��� Introduction ������ � �� �� �� ������� ���!��� ���� ��������� � ���#�� ����������������� ���� ������ �� � �������� ��� ��������#�� ����� ��� � ��� ��� ������ �������� ����� �� ��������������������$������� �� � �$���� ��� � � ��� ������������ ��� ��������� ����� �������� � ����� � ��� ��� ������ �� �������� ��$�� ����� ������� �� ������%����� ��� � ��� �� �������� ���� �� � ������ ������ ����� ������ ����������� �� ��� ������ ������������ � ����&��� � ������� ��� ��� 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�6'7�������� ����� ������ �� �� ������� ������� Conclusions �� � ��������� ����� ������������� ������ �������� ���! ��� �������� �� � ������ � �������������� � �� ��� ������������������ ��!� �#�= �������������� ��� ��������� ����������!����� ��� ���������� ���� ����� � ������� ����������)������� �����>��� 5��?������ /����� @�������� �A�� � �� ������� �%������������ ���&��B9�(#�-:9�()��BC�(+� 0C1�(*��DB�('�2=��($��8� 2� �� �#A�,���������� ��������������� ���������������� �� ������� �������!�� ��� ������� ���� ������ ��)+�������������� �����>��� 5��?������ /����� Keywords �������������� ������ E������ � ����� ����� ��E���� ��� ���������� � ��� � Acknowledgments ������������������� ��!��C���� ���B����4��� � ����2��� �����?��� ���� ���F2?%()&&%�)&#+G�F2?%()&&%�)&##G ���� �� ������ � � ������� F)*#6&&G� References #�� H���0��/�9� ����/�I��J/�1�� �D�./�?�����/�1�����K��C���!������ � ��� !�!�� ����� ��� ������ ������ ����� ������ ������ � ������������ � ���������� �� � ��� �����������������A����� ��� 5� ��� ������������ J-�- ���������1 ����-��)&#)�)&#)(&)(&+E#)�# A#�%� )�� ,����� ���D��-����� � ����������������� ��A�0�� �E�)&##� ISDS Annual Conference Proceedings 2013. 152 (page number not for citation purposes) ISDS 2013 Conference Abstracts The Growth and Variation of Symptoms of Influenza- like Illness: An Application of the Linear Growth Curve Model in Syndromic Surveillance in Rural China Xiaoxiao Song*1, Tao Tao1, Qi Zhao1, Lars Palm3, Shaofa Nie4, Hui Yuan2, Vinod K. Diwan5 and Biao Xu1 1Dept. of Epidemiology, School of Public Health, Fudan University, Shanghai, China; 2Jiangxi Provincial Center for Disease Prevention and Control, Nanchang, China; 3Future Position X, Gavle, Sweden; 4School of Public Health, Tongji Medical College of Hazhong University of Science and Technology, Hubei, China; 5Division of Global Health (IHCAR), Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden � �� �� �� � � �� �� �� � Objective �������� ��� � ���������������������������� ���������� ������������ ���������� ���� �� Introduction ����������������� � ����� ����� ������� �� � �� ���� ��������!�� � ��������� ��������� ���� ��� ���������������� ������ ����� ����� ��������������� �# � Methods �� � ������ ���� � ��� �� ������� ��� ������� � � � ���� �� �� ����� #$%� � ������� ��������������������� �� ��������&'(&#()&#)����&*(+&()&#+� ������������������ ��� ���������� ���� ����,- �) ���������� �� ����� ����� ���������. ��������������� ��%��������� �� � ���� ���� � ������� ����������� ����! ��� ���� ��������� ���������������������� ���� ��/�0 ��#������ ������� �� � � �� � ������� � ���0 ��)� ��� 0 �� ')� ���� ������ � �� ��� ������ �����!� ��� �� � %� ����� ��� �� � ������ �����1������� � ������� �� ���������� ������!� ��2��� �� � ������ �������� ��� ���!� �� �� � � �� � ���� ! keywords: e � cache: ojphi-5180.pdf plain text: ojphi-5180.txt item: #389 of 1513 id: ojphi-5189 author: scholcommuser title: ojphi-06-e169.pdf date: 2014-04-22 words: 3148 flesch: -520 summary: 115 (page number not for citation purposes) ISDS 2013 Conference Abstracts Under-ascertainment of Illness due to Influenza in Administrative Databases, a Population-based Record Linkage Study David J. Muscatello*1, 2, Janaki Amin2, C. Raina MacIntyre2, Anthony T. Newall2, William D. Rawlinson2, 3, Vitali Sintchenko4, 5, Robin Gilmour1 and Sarah Thackway1 1NSW Ministry of Health, North Sydney, NSW, Australia; 2University of NSW, Kensington, NSW, Australia; 3South East Area Laboratory Service, Randwick, NSW, Australia; 4Sydney Medical School, The University of Sydney, Camperdown, NSW, Australia; 5Centre for Infectious Diseases and Microbiology, Westmead, NSW, Australia � �� �� �� � � �� �� �� � Objective ������� ��������� ������������������������������������ ������� ���� ����� �������� � ������ ������ � � ������������� ����� ������ ���� �� ����������������� ����� �������������������� �� �� ��������� ���� ��� ������� ����������������������������������� ���������������������� � �� ������ ������ ��� ����������� ��� Introduction ������ ����� �� ������������������� �������������� ��������������� � ������ ������ � � ����� ����� ���������� ��������������������� � �� ���������� ������������ � ���������� ������ ������� !��#���� � $ ���� ��� ���� %� ���� ��&���� �'�� (������� )������� *� � ���� �� � �����+�,-��������� ���� ���������� ������ ��.�///������������ ��� ��������� ��� �������������� ���-������� ������������������ ��� ���� 0�������� 1� �����������.2�0�1� *������� ����������������������� ���������� ���� ���������� ��� ���������������� ����3������� ��� ���� ���������� '��� � ������������� �� ��������� ����� ������ ��������������� ��������������� �� ���� ������������������������� �� ��� � ������ ������ � � ���� ������������������������������������4����������� ��� �������� ����� ������ ��������������������������� ����� � � ��������� ������ ����� � ��������������5 �������� �� ���������������� ��� �������� ���� 4�������������� ������� ����� ���������� ������� �������� ������ ��� ���������� �� Methods 6 ����������������� �� � � �������� ��� ������������ �������������� ��� �� ������ �� �������� �� ����7*89�������� ������������� �� �� �������� ����� ����� ���� ��������������5���7$� �����9������������ � � ����������� �����7:;�<� ������9����=���>�����# ����7=>#9������ �� �� ��?//.����?// � Results (��.�.<;�������� ��������� �� ��� ���������������� �� ���������� ���� �� ������ �������������� ������������?�.; ������������ �� ���� ������ ����#������������ �� �� ����� ���������� �� ��������� ������ �������� �� ������������ �� �� ��������� ������?.@������ ����� ���� � ������� ��������� �� ��� ���������!<@���������� �� � ��������� ��� @����*8�������� ������ A���������� �������������������� ������������������������� ������� ���������� 4��������������� ������5�������� ����������� ����������� ������ �� �� � ��������� �������6������� ����.�;!��� ������������ ������������� ������������������� ���������������� � ����� ������� ������5�������� ����������� ������� �� ��*8��� ������� � �� ��� ����� ���� ����������� ���������� �� ���������������.@� � �� ������������� �� ��� ����������� ����� �������� �� ������� �� � �������� ���*8�������� ������������������������� �? �������� �� ��G ����6������D� ����$���������9��A���������� D� ����%������)��5 �� References ���$ ���#��H������� ������ ����� !��H�+�D� �������=������B�� ���� ��������� )�����+�(�������������> ��� ���H��������C�� .+�FF/�F� *David J. Muscatello E-mail: dmusc@doh.health.nsw.gov.au� � � � Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 6(1):e169, 2014 keywords: d � cache: ojphi-5189.pdf plain text: ojphi-5189.txt item: #390 of 1513 id: ojphi-5191 author: scholcommuser title: crappdf.pdf date: 2014-04-08 words: 2742 flesch: -279 summary: ������ !�+�������������������������������������'�9;����9<;'� ��������#�� ��'�*� ���'��������?�;@� Keywords ���� ��� ��A������� ������+���� ���A���������#�� �� Acknowledgments ���� �������%��������� �)�����������.���������� ������� ������ ���.����� ��� ������������� ������+���� ��������� ������������#�� ��$ References 1�3�B ����C'�D ����E9'�B������6 '�8.������$�,������� ��� ���������� ����������0�����$������:F2�C������ ��9��>������$�8 �E�5 �����B��$� �:FF�B �E��A��@�(�G�F&H�:2$ 1�3�I������B8$�B���� ��� ��� ������������� � � ������������G��.���+ ��������� ���>�� ���� �)�� ��$�C��E�5 �����B��$��:F2�B �A�F���G22H2&$ 1(3�J� . )�CE'�K ����C'�5������B8$�5����������0���� ������������ ���� ��� ����� �� ���� � ����� �������$� B��� 5��� 5 ����� >���$� ����� !��A2(����G�(�2��$ 123�* �����J $�B�������)���� ����0����������������� � ����G������::�� K���������5���������B��.���������$�C��E�5 �����B��$��::@A(�G(�:H (�($ *Pascal Vilain E-mail: pascal.vilain@ars.sante.fr� � � � Online Journal of Public Health Informatics * 105 (page number not for citation purposes) ISDS 2013 Conference Abstracts Usefulness of Syndromic Surveillance during Ultra- endurance Running Races: Example with the “Grand Raid de La Réunion” Ultra Trail Aurélie Martin1, Pascal Vilain*1, Arnaud Bourdé2, Xavier Combes2, Pierre-Jean Marianne dit Cassou3, Yves Jacques-Antoine4, Katia Mougin Damour5 and Laurent Filleul1 1Regional office of French Institute for Public Health Surveillance in Indian Ocean, Saint-Denis, Reunion; 2University hospital, Saint- Denis, Reunion; 3University Hospital, Saint-Pierre, Reunion; 4Hospital center, Saint-Benoit, Reunion; 5Hospital center, Saint-Paul, Reunion � �� �� �� � � �� �� �� � Objective ������� ��������� ����� ������������� ���� ������� ���������� ���������� ��� ������������������� ���������� �� ������ !������� ������#�� ��$ Introduction ������� ���� ������� ������������������������� ���������� ��� ���� �������%������&'(&���� ����������������$������������ ���� ���� )��� � ��������������#�� ��'� �*�������+���� ���� �� �����������#��� �� ,�� �$�-��� ��� ���� ������� � � ������ ������������������� ������� ������ ���� �������. �)��� �� ����� �� . keywords: � b cache: ojphi-5191.pdf plain text: ojphi-5191.txt item: #391 of 1513 id: ojphi-5192 author: scholcommuser title: crappdf.pdf date: 2014-04-22 words: 2799 flesch: -450 summary: 172 (page number not for citation purposes) ISDS 2013 Conference Abstracts Using a Syndromic Approach to Study Health Impact and Risk Factors of Alcohol Intoxication in Reunion Island Pascal Vilain*1, Sophie Larrieu1, Xavier Combes2, Arnaud Bourdé2, Pierre-Jean Marianne dit Cassou3, Katia Mougin Damour4, Yves Jacques-Antoine5 and Laurent Filleul1 1Regional office of French Institute for Public Health Surveillance in Indian Ocean, Saint-Denis, Reunion; 2University hospital, Saint- Denis, Reunion; 3University hospital, Saint-Pierre, Reunion; 4Hospital center, Saint-Paul, Reunion; 5Hospital center, Saint-Benoit, Reunion � �� �� �� � � �� �� �� � Objective ������ �� ������� ���������� ��� ������� ���������������� ����� ���� ������������������������������ ����������� ����� �� ���������� ���� Introduction �����������������!������������ ������ ��������������������� ���� �� � ����� #$ � �������� ������� ���� ��� ������ ���%��� �� �� �������� �� �� ���� ��� ����� ��&���� ���� ��� ������ ��������� � ��� � '��� �� ���( ��&������� ���� �� ������� )� �� �� �� ������� ���������� ��� �� ��� �������� ����������*$��������� ��������� ������� ��� �� �������+����������( �����#$ ����������������������� ���+�������� �������� ������ ��� �� ����� ���� ������������� ��� ��������� �'������!����� �� ��� ��������( ��������� ���������� � ��������� ����� ������� ������������ ������ ��� Methods �����������������!��������������������������� ������ ��������,-( .,/�0� �� ���1� �,� ����� ���� ��� ��� ������������� ��������2�� ���� �� ������� �� ������� ���� ��������������� ���������� ��� ����� ��� ������ � 3����� ��� ����� �� �!� �� ������ ������ ��� ��� ���� �� ���� 4�������� �� ����� ���5�������������� ��� � ������� �� �.�6(#7�������+#77� ��+#7*!�89#!�:;9!�<#9������������������������ ������ ������ � ����� *7#7�����*7#* �'��� ������� ��������������� ������� ����������� � ���������� ��� �������������=������ � �8���!���������� ���������� ������ ������������%����� �� ���(��������� ��������� � �������%������� ���� >��������� ���������������������� ������������������� �8����������� � ����� ��������������������� ��������)���� ( ���� ����!���������� �!� ������� ������1!��� �����������������������!���� ������������������ ������� ����� � Results ����� � ���� ����������!� ������������������ ������������� ������ 9;77!�� � ��������� ��#9����� �����������+� ����#� �������� ���������� ������ ������������������ ���� ��� ����� �8��������������������������� �?@A������ ���� �� ��������*B(9B������ �8������������� ������� ���( ������� ��� =�� ���� �� ���� ��� ����� � ����� ��� �������� ������� ����� �� ������ ��9� ��C������������ ������D#!9�#!B;(#!;7$�!������ ����1( ����������� ���������������8� ���#� Conclusions 8����� ���������� �� ��� ����� ���� ��������������������������� �� ���� ������(����� ������������� �8���(������������������������� �� � ������� ���� � �����=������ ����������������� ��� �8���������� ������� �� ������ ��� ������ ���� ���� ������������� ������� � ����� �������� �� �������� 8� ���# ����1���� ����������� ��� ��=������ ���������������� ����� ��������2������ ������!�*7#7(*7#* +� ����# ���������� ������=������ ���������������� ����� ��������2��������( ����!�*7#7(*7#* Keywords ���������� ����� ���E�-���������������������E��������������� Acknowledgments F������ ���1���� ������� ������8� �� �6�����+�������������� ������� �( �������������� ���������� ��� � References #$� , ����� ����� �2 ������ ��� ��� -�� 2� ��� ��� �2����� � 8� ����� ��� ���� ������������� �����G�����2�������� ���� $ �-��� (�����)�,�-��2�����E� *7#*� ��� � #*� � ������ ��� ����� )� � �)HH��� ���(������� �� H�6IH ����H � �����J ���H83J����� ����J*7#* ��� *$�, ����� ������2 ������������-�� 2��������2����� �=����� ������2�� ���� G����������G�����2�������� ���� $ �-��� (�����)�,�-��2�����E�*77?� -�� � K� � ������ ��� ����� )� � �)HH��� ���(������� �� H�6IH����H � ( �����J ���H����J����� ���J������J*77? crappdf.pdf ISDS Annual Conference Proceedings 2013. keywords: � � cache: ojphi-5192.pdf plain text: ojphi-5192.txt item: #392 of 1513 id: ojphi-5195 author: scholcommuser title: ojphi-06-e112.pdf date: 2014-04-22 words: 3988 flesch: -555 summary: 134 (page number not for citation purposes) ISDS 2013 Conference Abstracts Using Social Media for Biosurveillance: Gap between Research and Action Tera Reynolds*1, Mark Cameron2, Mike Conway3, Amy Ising4, Eric H.Y. Lau5, Jennifer Olsen6, Julie Pavlin7, Bill Storm8, Katie Suda9 and Courtney Corley10 1International Society for Disease Surveillance, Boston, MA, USA; 2Commonwealth Scientific and Industrial Research Organisation, Acton, ACT, Australia; 3University of California, San Diego, San Diego, CA, USA; 4University of North Carolina-Chapel Hill, Chapel Hill, NC, USA; 5University of Hong Kong, Hong Kong, China; 6Skoll Global Threats Fund, San Francisco, CA, USA; 7Armed Forces Health Surveillance Center, Silver Spring, MD, USA; 8Ohio Department of Health, Columbus, OH, USA; 9University of Tennessee Health Science Center, Knoxville, TN, USA; 10Pacific Northwest National Laboratory, Kennewick, WA, USA � �� �� �� � � �� �� �� � Objective �������� ����� � ����� ������� ����� ��� � ������������ ����� ��� ���� ��� �������� ��� ���������� ���������������� ����������� �������� �� ��� ���� ������ ������ �� ���������������� ����� ����� � ����� ��� ���� ������ ���� ����� Introduction ���������������� � �� ������� ��� ��� ������� �������� ��� ���������� ������� ������������ ���� ������� ������������������������� ������� � ���������������� ������������� ��� ���� ������� ��� ����!������������ ������ ����������������� �� ��� ���������� ������ ���������� ��� �� ������ ������ ����� �!��� �� ��� ���������� � �������� ����� � ������ �� �������������� �#�������������������������� � ������� �� ��� ���� ���� �� ������������ ������� ����� ����� � ������������ ������ ����� ������ ����� ����� ���$%$�$� ����&����� ���%�������$��������� ��'���� ��������� �� �������� ��� � ��� ��� �������������� �������� ��� ���� ������ ���� ��������������������� �� Methods (��� ������������� � ��������� ���� ���������������� ����������� ���� ������������ � ����������������� ��)�� ��� �������� � ��������� ��� ��������������������� ��� � ��� �� ����������� ����� ���� � ����� ������ ����������� *���������� ��� ��� ������� ������������ ����*����� ������������ ��������� ���� �����+,�������� ��� �������� ���������� ���)�(� ��������� ���������������������� ������� �������%� ������ ��� �� ������� ���� ����� ��������-��&+%������������� ��� ������� ����-.$&/�� ������0� ������ ��� � ��� ��� ���������������� ��� �����������-�������+����������$ ������� ������������1������� �� �����$�� ������ 2� �����(�������� 2�!� ������������� � ����� ��� ���� ����� ������������������� ��� �����3������002����1����� � ���� ��������� � ������������ ������������ ���������� �� �� ��� ��������� 1��� ��������� ����� � ������������) ���4����� ��������������� ���� ����� ��������������� ����� � ������ �� ��������������� ���������� �������� ������������������ ����� �5 ��4����� ������������������ ��� � ������ ���� ������� ���������� � � ���������������������� ��������������� �� �� ������ ����� �������� �� ��� ��� ���� ������ �� �������������� ���� ����5 /� � ���� ����� �, ������ ����)� ��� ���� 1��� ���� ���� ����������� �� ����������� ��� � � ������������������ ���������������� ����,� ����������.�������� � ���������������, ������ �������� ���� ������ � � ������� ����������� ���� ������� ����������� ��� �� / � ��� ����� ������������ ��������� ������������������� �� !����� � �������� � ���� ����� ������������3 � �������60�������������������� ������ ���� �� ������� ����� �� ���� ����7����������������� �������8�� ��������� ��������� �� ���������3 ���������� ��� ���������� ������ ��� ���� � ���$%$�4�� ���� �� Results ��������������������� ���� ����� 9��� � ���� �� ��������� ��� ��� � �������1��� �������� !��� � ���� ����� ����� ������� ���� ���� �� � 69:�� � ����� �������� � �������� ����� ��������,����� ���������������� ����� ���� ������� ����� ��������������������������������������� ��� ������ ��� ��������� ���������� ������� ���������� ��������� ���� ��� � ����� ����� ���� ���� ������������� ��� ���� ���������� ���������������� ����� ����� � ���� �� ���� ������ ������������������ ���� ����������� � ���� ����� � ������������ ����� �� ��� ����������1��� ��� ����� ���� 3 � ����, �������� � ������9���� �������� ������, ����������������� ������������������ ��������������������������1��� ���� Conclusions ���������� ��1��� ���������� � �������� �������� ��� ���������� �� ������ ������ ����� ����� � ���������������������������������� ��� ����� ����� ����� ��� ������� ���� ��� ����������������� � �� �� ������� � ������� ����������� �� ������ �������� ���������� ���������� �������������� ��� ���� ����� � ���/� ���� ������������ ����� ������� ��� ��������� �������� ������������� ��� ������������ ������ �� �� Keywords $� ���������;�<� ��� ����������;�/ ������� Acknowledgments �������������������� ������$%$�������� ����� �����4���� ����=������ � �-==<� �������� ������� � References ���/ �������#��>������/��<�������.��� �������� ��������������������� �� ������������ ������)�#+/<�#=(� 2� ���-�� �� � ���� ��4�� ���� #����� �����$ ���-����;� 2� )? ��$��� �D�&��E����������$��/���������F� ��� ����$�� ���� ���� ��3�� �����$� ����&����)����� � ����� ���� � �����%�������%����� ������ 4�� �����-<�$�4���� �B����� 2��;@7�28)��22 �99� 0��-.$&/��� �)GG������������ � ���� ����G� *Tera Reynolds E-mail: treynolds@syndromic.org� � � � Online Journal of Public Health Informatics * keywords: -."$&/ � cache: ojphi-5195.pdf plain text: ojphi-5195.txt item: #393 of 1513 id: ojphi-5196 author: None title: ojphi-5196 date: 2014-04-21 words: 867 flesch: 48 summary: Introduction In 2012, an outbreak of Mycobacterium chelonae infections in tattoo recipients in Rochester, NY was found to be associated with premixed tattoo ink contaminated before distribution.1 In May 2012, a case of M. chelonae was reported in a New York City (NYC) resident who received a tattoo with ink alleged to have been diluted with tap water. When a second case of M. chelonae in a tattoo recipient was reported in March 2013, an investigation was initiated. keywords: chelonae; tattoo cache: ojphi-5196.pdf plain text: ojphi-5196.txt item: #394 of 1513 id: ojphi-5199 author: None title: ojphi-5199 date: 2014-04-21 words: 750 flesch: 39 summary: The model discovers 71% of actual outbreak cases at 7% false positive rate (FPr) and correctly recalls 4.5 as many outbreak cases at 1% FPr as when using Salmonellosis diagnoses only. In this work, we correlate a record of identified outbreaks and sporadic cases of Salmonellosis in humans retained in PulseNet1, and diagnosis codes in hospital claims collected in California from 2006 to 2010. keywords: cases; outbreaks; salmonellosis cache: ojphi-5199.pdf plain text: ojphi-5199.txt item: #395 of 1513 id: ojphi-5200 author: None title: ojphi-5200 date: 2014-04-21 words: 859 flesch: 50 summary: We identified ED visits as drug overdoses if the visit contained an International Classification of Diseases, 9th Edition Clinical Modification (ICD-9-CM) diagnosis code in the range of 960-979 (.0-.9) and/or an External Cause of In- jury Code (E-code) in the range of E850-E858 (.0-.9), E950.0-E950.5, E962.0, or E980.0-E980.5 listed in any position. The 2011 rate of ED visits due to drug overdoses was 238.1 ED visits per 100,000 person-years. keywords: overdoses; visits cache: ojphi-5200.pdf plain text: ojphi-5200.txt item: #396 of 1513 id: ojphi-5201 author: None title: ojphi-5201 date: 2014-04-21 words: 775 flesch: 28 summary: In 2012 this mod- ule was expanded with syndromic queries, data-sensitive algorithm selection, and hierarchical fusion network training [1]. We developed procedures to verify, calibrate, and validate an evidence fusion capability based on a combination of clinical and syndromic indicators and limited knowledge of historical outbreak events. keywords: events; validation cache: ojphi-5201.pdf plain text: ojphi-5201.txt item: #397 of 1513 id: ojphi-5202 author: scholcommuser title: crappdf.pdf date: 2014-04-09 words: 3519 flesch: -326 summary: 123 (page number not for citation purposes) ISDS 2013 Conference Abstracts Validation of Los Angeles County Department of Public Health Respiratory Syndrome using Electronic Health Records Kelsey OYong*, Emily Kajita, Patricia Araki, Monica Luarca and Bessie Hwang Los Angeles County Department of Public Health, Los Angeles, CA, USA � �� �� �� � � �� �� �� � Objective ��� ����� � ���� ������ � ���� ����� �� ������ � ��� �� �������� �������� � �� ������ ����� �� �������� ���������� � � ����� �� �� � ������������������ � ��������������� Introduction � ��� ����� ������� ������ �� ����� �� ������! � � � ��� �� �������� � � ���� � ������� ����! �#��������� �� �� �����$�%� &� � ������ ��� �� �� �#�� %������� ���� ��� �� ��� � �� ���� ���#� � � ������� ������'(������������� � ������������ �������)������ � ��� ����� ����!������� � � �� ������ ����� �� �����$*������������� ����� � �� �� ���&��� ��!��������� ����� ����� ������� ������ ����� ��� �+++��������� � ���,�����&���������� ����� �� �� ������������� ���������� � ���������� �� � ��!�� �������� ��������������� ������ �� � �� ���� �� � ��� ���� ��� �� � ��� ��� �� ������ �������&� %����� ������ �� �����! ����������� � ��� ��� �������� ������ ����� ����� ���� ����� � ��������� ��� ������ �� �� ���� �-�!����$ �������-$�� ��� ��� ������ �� ������� �������&�������� ������� ������ ������ % ������� ���������� ����������$*�� ����� ����������������� Methods �� ����� � �� ��%����� ��� ������� � �� � ���������������������� ���������� ��������������� �.' ���� �� ��! ��������!����/(&''� ��� ���������������� * �� ���% �� � �� �� ������� ������ ��!���� ������-$�+++� ���������% ���� �� �� ������� ��� ��� ������ �� ���� �������� ���� %����� �% #�� �0���� ��12&�.'12��� �����0���� ��13&�.'12&�� � �� �� � ��� ������ 4� ����� � ��� ��� �� �� ����� ������������ �� ����� ��� ����������������% � � ��� �� ����� ��$*������������ ��!�� 4� ������� ������� ����������������% ������ ����������� � � ������� �� %���� � � �� �� ,���3��5� ��� �� � ������ ��� ��� �� ������ ������ ���&����� �� ��!���� �� �� �� � ���� �� ����� ������� - ������617��8 4� ��� ��� �������� ��% ��������� �����#����� ���������� � ��� � ���! �% ����� ���������������������� ��%��� �������� ������������� ��% �������� ��������+�+�3�2� Results �� ������ �������� ���&�131�� �������� ����������� � � �� ��� %���� ��� ��� �� ���� �� � % � � % ��� 9 � �� � 131� �� ��&� :'� �21�/;������ �� ��������� ����������&� ����% ����� 4� ����!�� �������/3&�.<�=;�&���� �� ���� �! �����./&�1.�:;�&������� �� ���� �1:&�(�/;��� 9 ��� �131� �� �������� � ��� ��� ������ �� ���� �� �&�1/.� � �� ����=/�2;�������� �����,���3�������������� ��9 ��� �1/.� �� ��� %����������������,���3�������������� �&�1'=��=<�2;�� �� ���% � ������ � ���������� �� �� ��� ��� �������� ������ ������� �#����� ���������� � ��� ��� � ���! �% ���� ������-$����� ������������ �������������� ������� � �����������%���'�=<��3<;��,>�'�:(�'�(2��� �� �������������������� ��% ����� ���� � ��� ��� ���� ������� � � ���� �� � �� ��� � �2(&� . keywords: � � cache: ojphi-5202.pdf plain text: ojphi-5202.txt item: #398 of 1513 id: ojphi-5203 author: scholcommuser title: crappdf.pdf date: 2014-04-22 words: 4359 flesch: -765 summary: ���� ��� � ��-��� �.���� �/�!���0�������-./�������������� �������������� �� ��� �������������������� �� ����������� �������%�� ��!�������� ���������� ��� ����������������� �� ��� �������� ��������������� �����!�� ��� ������ ��� ������������������������������ ���� ���������������������������% Methods 1������ ������������� ��������� ���������� �� ��!�����23� ��������� ���� �����������1� ���+�� �� ������ ��%�1����������������� ��� � � ������������������ ������������������ ������������ ����������������� ������� �����������4� ������������� ������!�&����������� ���������5����� �� �36� ���� ������������������� �����!�'7�8������������������ ����� �8������ ���������� ��������� ������ ���� ������������������� ��������� ����� �%�� �� ������������ �����������������9����:�47����������!� ��0� ����!�� ��� �� ������� �������;�47����������!���0� ��������%� � ��������� ���������������������������� �������� ��������������� ��� ������������������������������� ����� ������!��������� ��������% � ����������������� ������������������ ���� ������� ������������� ������� ���� ��-./��� ���������<�=�������%������ ������������ ��� ����������������% Results >��� ����� �������������������)� ������������������ ��?�� ����� !������� �'6� ������������������ ��+��������!����%�� �� ������������� � �������� ���!�����������������������27%2'���� �� ������������ ��������'4%74���������� ������!���������������������������!��������� �;�7%7'� ��� ���� ���������������������������!��������� ����������� ������� ��������������������������3%64������ ������!�����%�� �������� �������������������!��������� �������������� ��������� ������������ ��� �������������������� ��?�� ��� �+�������� ���������!�����% Conclusions @��� �������������������� ��������������������������� ��������� �������������������������������� ����������� ������������ �� � ��������� � ����� ��!�� ���� ���������������������������!��������� �������������� �� ������� ������������ ����������������������� ��?�� ��� �+�������� !�����%�<������!���� ������������������ ��� � �� ������� ������������ � ��� � � ������������� ���� ���� �������� ������ ��!������������ �� ����� �������� ������������ ������������������� ��������������!� ��� ����������������% Keywords ��� ������������������� �������A�<������!���� ����������������A�+���� &�����������A������� ���� ����� ������������������� ������� Acknowledgments 1�� ������������ !��� �������������������!� �������� ���� ��������������� ������ �� ������������� ���� ���� ������� �����������������?� �������� ���1� ���+�� �� %�� ����������������������������� ���!������ ���! �� �� -����������������������������!� ����!�������!���1��� ����� ��+.B���� � ��������������58�5�� ��������% References '%��� ��� �����!���� �&���������� ���������+��,���� �+��,���������������� &�������%�� ��-��� �>�����277'����������=�%C�+�&'76'2% 2%� ����� � 8%� ����!���� � &�������� ��� ��������� +��,���� ��&�+�� � ���! � �� ����������$�� ����%� �� ���� ,������� ��� ������ ���� %� 277)� D�� ���A62�3�C'34 *3%�+�<� �+<�&C�'(')()36% 3%�D� ���D��&�� ����E��� �����@+��8������<%����������!�� �����!����� ����������� ������������� ��%�E�����%�27'�D���'6A3FF�(F4'�C262 4(%� +�<� �+<�&C�2'22F677% *%�-��� �.���� �/�!���0�����C������������� ���������� ����������� � ���������������� �!�� ��������������!��� �� �������!�-��� �.���� � /�!���0�������2774% 6%�<�=���D��� ��!��!����G����<��-� �����=���!��+��1�����-����� ��%������������������������������� ���� ���� ����������� ���������� � ������������������� ���� ���������������><�������� ���� %�2772A2C2%� +�<� �+<�&C�')*4))(%�+��� ���������+<��&C�466()% 4%� . ������� &E�� G� ���� ?GA� -./� /����������� �������� ����� ��� � �� ?�����/�������1������� �G��������=������%�.������������������ � ���� C�-./���� ����������������!��!��� ��� ����!��!������������ �� �����%�� ��E�����������������&���������277'��'C3*6H363%� ��C'7%'7'4I �'*F3 37((�7'�77'*) F���� C')F')7F *Vivek Singh E-mail: vivek.singh@iiphh.org� � � � Vivek Singh*¹, Jagan Mohan², U Prasada Rao², Lalit Dandona³,⁴ and David Heymann⁵ Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 6(1):e176, 2014 keywords: � � cache: ojphi-5203.pdf plain text: ojphi-5203.txt item: #399 of 1513 id: ojphi-5249 author: Raed AlHazme title: ojphi-5249 date: 2014-10-25 words: 4306 flesch: 52 summary: The database infrastructure (systems and connectivity) prevented the high utilization of the large amount of health care data available for analysis and use. Conclusion Vast amount of health care data is being collected and maintained nationwide, statewide, and within counties in the United States. keywords: care; cbi; data; development; end; florida; health; system; user; warehouse cache: ojphi-5249.pdf plain text: ojphi-5249.txt item: #400 of 1513 id: ojphi-5262 author: Scholcomm User title: ojphi-5262 date: 2014-10-16 words: 4655 flesch: 50 summary: This electronic linkage and resulting Data Repository provide an initial national source of both clinical, health data and farmworker population demographics upon which C/MHCs can better serve their patients, evaluate their success, participate in disease reporting to public health agencies, and demonstrate need. The lack of accessible medical care data and aggregated longitudinal health data on farmworkers has severely limited provision of optimal health care for this vulnerable and often mobile population. keywords: care; cbrn; community; coordination; data; farmworker; hba1c; health; patients; research; surveillance cache: ojphi-5262.pdf plain text: ojphi-5262.txt item: #401 of 1513 id: ojphi-5287 author: None title: ojphi-5287 date: 2014-10-25 words: 5915 flesch: 46 summary: Establishment of a Master Facility List (MFL) to standardize the allocation of unique identifiers for health facilities can overcome identification issues and support health facility management. A required standard is a unique identification process of health facilities that will report into the information system. keywords: data; development; facilities; facility; health; health facility; information; internet; list; mfl; national; nigeria; public; state; system cache: ojphi-5287.pdf plain text: ojphi-5287.txt item: #402 of 1513 id: ojphi-5315 author: User title: ojphi-5315 date: 2014-10-25 words: 5481 flesch: 56 summary: All this is recorded in a database table that will become the record of disbursements made to each individual patient and become a tool for the pharmacist to manage patient therapy and order him his drug. Keywords: Database, drug distribution, drugs delivery, patients management Abbreviations: Therapeutic Plan (TP); Italian Drug Agency (AIFA); National Health Service (NHS) Correspondence: gpaolofranzoso@gmail.com DOI: 10.5210/ojphi.v6i2.5315 keywords: distribution; drug; health; hospital; medicines; patient; treatment cache: ojphi-5315.pdf plain text: ojphi-5315.txt item: #403 of 1513 id: ojphi-5347 author: smierzwa title: ojphi-5347 date: 2014-11-13 words: 4629 flesch: 48 summary: We will then share issues we had foreseen as well as those we did not, and finally discuss potential future uses of avatars in electronic data collection systems. Introduction Researchers who are involved in self-report data collection continue to look for ways to collect better survey result data with electronic data capture systems. keywords: avatars; collection; data; device; gaming; health; report; research; self; survey; system; techniques; web cache: ojphi-5347.pdf plain text: ojphi-5347.txt item: #404 of 1513 id: ojphi-5368 author: RSC_05 title: ojphi-5368 date: 2014-10-25 words: 3626 flesch: 49 summary: These findings, and other literature, provide a guide as to how the further development of ICT based guidelines may be implemented to improve health care decision making. The need for training is a consistent finding, and any attempt to increase the use of ICT based guidelines should be accompanied by appropriate training. keywords: care; countries; guidelines; health; information; online; public; respondents; study; use cache: ojphi-5368.pdf plain text: ojphi-5368.txt item: #405 of 1513 id: ojphi-5372 author: None title: ojphi-5372 date: 2014-10-16 words: 10291 flesch: 41 summary: A partnership was formed with CAREX Canada 2 , a national surveillance project funded by CPAC’s Prevention Program that estimates the exposure of Canadians to carcinogenic substances in the workplace and community environments, to explore the feasibility of linking Directory policies to a source of exposure evidence. As a first step in linking Directory policies to sources of evidence, the occupational and environmental exposure policies have been cross-linked with the CAREX Canada profiles and estimates. keywords: canada; cancer; chronic; diffusion; directory; disease; health; informatics; journal; online; policies; policies directory; policy; policy diffusion; prevention; prevention policies; public; research; risk; search; web cache: ojphi-5372.pdf plain text: ojphi-5372.txt item: #406 of 1513 id: ojphi-5376 author: None title: ojphi-5376 date: 2014-10-30 words: 7097 flesch: 52 summary: There are several potential factors contributing to higher exposure case rates in rural areas, including more employment in resource-based and industrial occupations and Aboriginal communities where substance abuse has been attributed to multi-faceted social and economic challenges [30]. Human exposure case rates for children 5 years of age and younger in East Kootenay were the highest in the province. keywords: british; calls; case; centre; columbia; data; drug; health; information; poison; rates; service; vancouver; years cache: ojphi-5376.pdf plain text: ojphi-5376.txt item: #407 of 1513 id: ojphi-5400 author: parents title: Disease outbreak detection system using real time syndromic data in Madagascar date: 2014-12-10 words: 6462 flesch: 54 summary: Updated guidelines for evaluating public health surveillance systems: recommendations from the Guidelines Working Group. Furthermore, surveillance systems must be evaluated regularly, to ensure that they provide valuable information in an efficient manner [4,5]. keywords: 2010; cases; data; fever; health; indicators; madagascar; network; number; process; sentinel; surveillance; syndromes; system; warning cache: ojphi-5400.pdf plain text: ojphi-5400.txt item: #408 of 1513 id: ojphi-5412 author: Jeff Williamson title: The Title of the Article date: 2014-10-15 words: 11280 flesch: 53 summary: We also demonstrate how auditing the semantic type assignments of UMLS concepts can expose other modeling errors in the UMLS source terminologies, e.g., SNOMED CT, LOINC, and RxNORM that are important for health informatics. From the other side, new UMLS concepts were assigned semantic types and for 78 of them, new combinations of STs were created (see Table 2), leading to the addition of new ISTs of typically small extents. keywords: assignments; auditing; chemical; concepts; erroneous; health; informatics; ists; network; new; process; rsn; sculpting; semantic; semantic network; type; umls cache: ojphi-5412.pdf plain text: ojphi-5412.txt item: #409 of 1513 id: ojphi-5421 author: CIMS title: ojphi-5421 date: 2014-10-25 words: 3993 flesch: 46 summary: The RCHN Community Health Foundation, New York City, New York Abstract The objective of this study was to assess the use of telemedicine services at community health centers. A national survey was distributed to all federally qualified health centers to gather data on their use of health information technology, including telemedicine services. keywords: care; centers; chcs; community; health; patients; services; telemedicine; use cache: ojphi-5421.pdf plain text: ojphi-5421.txt item: #410 of 1513 id: ojphi-5460 author: Priya Nambisan title: ojphi-5460 date: 2014-10-15 words: 6692 flesch: 42 summary: The objective of this study is to assess the feasibility, benefits and challenges of using telemonitoring for aging patients with developmental disabilities. The caregiver focus group revealed a strong support for the main study theses regarding the benefits from using the Telemonitoring technology among aging patients with DD. keywords: aging; benefits; caregivers; data; developmental; disabilities; focus; group; health; patients; population; study; telemonitoring cache: ojphi-5460.pdf plain text: ojphi-5460.txt item: #411 of 1513 id: ojphi-5469 author: None title: ojphi-5469 date: 2014-10-14 words: 8569 flesch: 53 summary: Record terms: TN + CC 3. Record terms: TN + CC 3. keywords: classification; emergency; feedback; health; medical; mtl; public; records; relevance; surveillance; syndrome; system; terms; text; triage cache: ojphi-5469.pdf plain text: ojphi-5469.txt item: #412 of 1513 id: ojphi-5470 author: None title: ojphi-5470 date: 2014-10-15 words: 4007 flesch: 53 summary: Choice of device typed used was found to change online health information search behavior. Socioeconomic factors such as age, gender, income and education play an important role in online health information seeking [2]. keywords: cancer; health; information; internet; issues; keywords; online; pregnancy; pubmed; search; women cache: ojphi-5470.pdf plain text: ojphi-5470.txt item: #413 of 1513 id: ojphi-5484 author: Edward Mensah title: ojphi-5484 date: 2014-10-25 words: 7216 flesch: 49 summary: Our major contribution is enhancing the findability of codes and standards related to health informatics ethics by compilation and unified access through the health informatics ethics repository. Keywords: health informatics ethics, repository, codes of ethics, technical standards, findability Correspondence: hwsamuel@cs.ualberta.ca DOI: 10.5210/ojphi.v6i2.5484 keywords: association; codes; ethics; fda; health; health informatics; informatics; informatics ethics; international; iso; medical; online; public; repository; software; standards cache: ojphi-5484.pdf plain text: ojphi-5484.txt item: #414 of 1513 id: ojphi-5522 author: Win 8 Ent 64bit ENG title: None date: 2015-07-02 words: 5634 flesch: 56 summary: Portable accessibility: The main advantage of smartphone apps over previous computer technology is its portability. There’s an App for That; A Guide for Healthcare Practitioners and Researchers on Smartphone Technology 3 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 7(2):e218, 2015 OJPHI Notifications: Some of the most novel features of smartphone apps are local notifications and push notifications. keywords: 2012; 2014; 2015; app; apple; apps; health; healthcare; mobile; public; pubmed; researchers; smartphone; store; technology; users cache: ojphi-5522.pdf plain text: ojphi-5522.txt item: #415 of 1513 id: ojphi-5527 author: Jacob Krive title: ojphi-5527 date: 2015-07-02 words: 7416 flesch: 44 summary: In this study, conducted at Advocate Health Care in Illinois, we quantitatively analyzed the benefits of community acquired pneumonia order sets as measured by mortality, readmission, and length of stay (LOS) outcomes. In this study, we examine the effectiveness of pneumonia order sets in a major community integrated healthcare delivery network using patient history from four Advocate Health Care hospitals for the 2007–2011 period. keywords: care; cpoe; data; effectiveness; evidence; group; health; hospital; mortality; order; order set; outcomes; patient; pneumonia; set; sets; study; utilization cache: ojphi-5527.pdf plain text: ojphi-5527.txt item: #416 of 1513 id: ojphi-5528 author: None title: ojphi-5528 date: 2014-12-07 words: 3321 flesch: 47 summary: Acknowledgements We would like to express our deepest appreciation to Sabah State Health Director, Sabah Deputy State Health Director, all staff of Sabah State Health Department for making this project successful. Keywords: healthcare, maternal and childcare, health information system, Borneo Abbreviations: Inovasi Kelahiran (I-Kelahiran) Correspondence: dr.dhesi@gmail.com* keywords: birth; data; health; healthcare; information; kelahiran; sabah; state; system cache: ojphi-5528.pdf plain text: ojphi-5528.txt item: #417 of 1513 id: ojphi-5533 author: None title: ojphi-5533 date: 2014-12-15 words: 4812 flesch: 50 summary: Year 1 85 38 47 Year 2-5 341 93 248 Total 426 131 295 Training Costs for One Hundred Thousand CHW By running the model including the classroom training costs with the feature phone and tablet we see that, a savings of 67% ($314.5 Million) can be achieved in comparison to the baseline training program (Table 7). ISSN 1947-2579 * http://ojphi.org * 6(3):e196, 2014 Scaling up Training Costs to One Million Community Health Workers When our model is scaled up to training one million community health workers and includes additional costs associated with CHW salaries, management and overhead expenses, the blended eLearning training approach that uses Wi-Fi tablets is still cost saving by 25% or $3.62 Billion USD (Table 8). keywords: approach; chw; classroom; community; comparison; cost; data; elearning; health; model; training; workers cache: ojphi-5533.pdf plain text: ojphi-5533.txt item: #418 of 1513 id: ojphi-5571 author: Dammann, Olaf title: ojphi-5571 date: 2014-12-10 words: 7332 flesch: 32 summary: Systems epidemiology adds yet another level consisting of antecedents that might contribute to the disease process in populations. In public health, systems epidemiology will contribute to the improvement of syndromic surveillance methods. keywords: 2014; biology; causal; causation; complex; disease; epidemiology; health; informatics; journal; medicine; modeling; models; pubmed; research; studies; systems; systems biology; systems epidemiology cache: ojphi-5571.pdf plain text: ojphi-5571.txt item: #419 of 1513 id: ojphi-5572 author: None title: ojphi-5572 date: 2014-12-15 words: 6819 flesch: 40 summary: The empirical cluster analysis of LHD public health informatics capacity revealed three groups of LHDs in terms of informatics capabilities, as shown in Table 2. To test the reliability of this novel typology of public health informatics capacity, the data were randomly partitioned into two mutually exclusive ‘training’ and ‘validation’ datasets. keywords: capacity; departments; functionalities; health; health informatics; informatics; informatics capacity; levels; lhds; low; public; services; typology; use cache: ojphi-5572.pdf plain text: ojphi-5572.txt item: #420 of 1513 id: ojphi-5579 author: None title: ojphi-5579 date: 2015-01-19 words: 9041 flesch: 52 summary: For example, some potential adverse effects may not be recorded in a health database if the results caused by drug reactions are not serious. These drugs can occasionally cause adverse drug reactions (ADRs) in patients. keywords: adr; agent; algorithm; association; data; database; drug; drug reactions; health; healthcare; journal; mining; patient; reactions; reporting; rule; system; table cache: ojphi-5579.pdf plain text: ojphi-5579.txt item: #421 of 1513 id: ojphi-5587 author: Scholcomm User title: ojphi-5587 date: 2014-12-07 words: 4137 flesch: 37 summary: These data from various sources were merged, checked for quality to create a current state assessment of immunization reporting and results validated with subject matter experts. Keywords: immunization reporting, standards, interoperability, public health informatics, EHRs http://ojphi.org/ OJPHI Technological and Organizational Context around Immunization Reporting and Interoperability in Minnesota 2 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 6(3):e192, 2014 Correspondence: sripriya@umn.edu* DOI: 10.52/ojphi.v6.i3.5587 keywords: health; hl7; immunization; information; miic; minnesota; public; reporting; standards; system cache: ojphi-5587.pdf plain text: ojphi-5587.txt item: #422 of 1513 id: ojphi-5593 author: None title: ojphi-5593 date: 2014-12-09 words: 5835 flesch: 46 summary: This subset (n = 9,347) showed a bimodal peak, with normal cytology results associated with HPV test results on average six days later, whereas abnormal cytology results had HPV results reported on average eight days later. Mathematical models have predicted that the introduction of the vaccine should have a strong impact on HPV positivity rates in the types covered by the vaccine [14]. keywords: age; data; hpv; human; laboratory; positivity; pubmed; rates; reference; risk; testing; time; vaccine; women; year cache: ojphi-5593.pdf plain text: ojphi-5593.txt item: #423 of 1513 id: ojphi-5595 author: Valued Acer Customer title: None date: 2015-07-02 words: 11456 flesch: 44 summary: The challenge of maximizing drug safety and maintaining public confidence has become increasingly complex. The ICH has six guidelines pertaining to various aspects of drug safety [70,71]. keywords: adrs; clinical; data; drug; figure; health; health informatics; india; informatics; issn; journal; monitoring; new; ojphi; online; overview; patients; pharmaceutical; pharmacovigilance; public; pubmed; reporting; reports; research; role; safety; system cache: ojphi-5595.pdf plain text: ojphi-5595.txt item: #424 of 1513 id: ojphi-5630 author: afya_admin2 title: None date: 2015-06-30 words: 9173 flesch: 45 summary: Botswana health information system: Assessment and five year plan. Health information systems: the foundations of public health. keywords: botswana; data; development; gaborone; health; health information; information; information systems; management; ministry; moh; national; national health; pitfalls; policy; public; systems; use cache: ojphi-5630.pdf plain text: ojphi-5630.txt item: #425 of 1513 id: ojphi-5651 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-26 words: 532 flesch: 41 summary: Audience Engagement The audience will be asked to draw on their own data-sharing experiences, with the following questions: 1) What are successful strategies for data sharing and why did they work? 2) How do successful collaborations overcome general data- sharing challenges? 3) Can successful methods be adapted to other regions and how? 4) Explore Barriers and Solutions to Data Sharing on BioSense 2.0.” keywords: data; health cache: ojphi-5651.pdf plain text: ojphi-5651.txt item: #426 of 1513 id: ojphi-5652 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-26 words: 470 flesch: 31 summary: An important part of this discussion will focus on the value that syndromic surveillance can provide that other surveillance systems cannot address. ISDS 2014 Conference Abstracts How Should We Be Conducting Routine Analysis of Traditional Emergency Department Syndromic Surveillance Data? David Atrubin*2 and Michael Wiese1 1FL DOH - Hillsborough Cnty, Tampa, FL, USA; 2Florida Department of Health, Tampa, FL, USA Objective To discuss how various emergency department based syndromic surveillance systems from across the country and world are being used and to develop best practices for moving forward Introduction Along with commensurate funding, an increased emphasis on syndromic surveillance systems occurred post September 11, 2001 and the subsequent anthrax attacks. keywords: surveillance; systems cache: ojphi-5652.pdf plain text: ojphi-5652.txt item: #427 of 1513 id: ojphi-5653 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-26 words: 741 flesch: 36 summary: Data sharing workgroup is rooted in the fundamental desire to leverage cloud based data storage of the BioSense 2.0 architecture toward enhanced data sharing within and between jurisdictions and system participants. It will be an opportunity to discuss key challenges faced by public health jurisdictions in the era of Meaningful Use and identify further needs and best practices in the areas of data quality, data sharing, onboarding, and developing syndrome definitions. keywords: biosense; data; usa cache: ojphi-5653.pdf plain text: ojphi-5653.txt item: #428 of 1513 id: ojphi-5654 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-26 words: 469 flesch: 24 summary: Keywords Return on Investment; Value of Information; Syndromic Surveillance; Decision Model; Analytics Acknowledgments Timothy Andrews, Booz Allen Hamilton Atar Baer, Seattle-King County Public Health David Buckeridge, Montreal Public Health and Quebec Public Health Institute Jim Collins, Michigan Department of Community Health Julia Gunn, Boston Public Health Commission Bryant Karras, Washington Public Health State Aaron Kite-Powell, Armed Forces Health Surveillance Center Joe Lombardo, Johns Hopkins University Vishal Pachigar, Booz Allen Hamilton *Jane Blake E-mail: Blake_Jane@bah.com Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * (1):e185, 201 2014.ISDS.Abstracts.Final.pdf ISDS Annual Conference Proceedings 2014. keywords: health; model; surveillance cache: ojphi-5654.pdf plain text: ojphi-5654.txt item: #429 of 1513 id: ojphi-5655 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-04 words: 497 flesch: 36 summary: Finally, Dr. Linda Rae Murray from the Cook County Department of Public Health will discuss social determinants of public health in the closing plenary. While the science and practice of public health surveillance, in particular biosurveillance, has significantly matured since the initial conference in New York City in 2002, practitioners continue to deal with recurring problems, such as the impacts of reduced funding and appropriate data sharing, as well as new ones - emerging infectious diseases such as MERS-CoV, Chikungunya, and Ebola, as well as novel data sources from meaningful use and various social media. keywords: conference; health cache: ojphi-5655.pdf plain text: ojphi-5655.txt item: #430 of 1513 id: ojphi-5657 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-04 words: 739 flesch: 27 summary: For disease detection data generated from high-throughput laboratory analyses (e.g., real time PCR detection assays), a Laboratory Quality Status widget evaluates all associated data generated though quality management systems and outputs a Boolean (TRUE/FALSE) test result to provide the operator with a rapid quality assurance validation to laboratory data. D4 integrates multiple data streams into an R coding environment that enables open-source and plug-play statistical and widget- development capabilities. keywords: data; detection; disease cache: ojphi-5657.pdf plain text: ojphi-5657.txt item: #431 of 1513 id: ojphi-5660 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-05 words: 776 flesch: 27 summary: This panel will provide guidance for future development and utility of mobile apps by illustrating how these matters are addressed in field tested mobile applications. Trends in Mobile Apps for Biosurveillance and Decision-Making Courtney D. Corley*1, Onicio Leal-Neto2, Craig Taylor3, César Escobar-Viera4 and Victor Del Rio Vilas5 1Pacific Northwest National Laboratory, Richland, WA, USA; 2Epitrack, Recife, Brazil; 3Cojengo, Glasgow, United Kingdom; 4University of Florida, Gainesville, FL, USA; 5Pan American Health Organization (PAHO), Rio de Janeiro, Brazil Objective To review current trends and issues in the development and use of mobile apps for public health surveillance and decision making in settings with different resource availability and technological development. keywords: apps; biosurveillance; panel cache: ojphi-5660.pdf plain text: ojphi-5660.txt item: #432 of 1513 id: ojphi-5661 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-05 words: 658 flesch: 31 summary: The main objective is to broaden the collection of use cases developed by the ISDS Technical Conventions Committee (TCC) to enhance effective collaboration between public health practice and analyst researchers in various disciplines and institutions. Description After a review of the TCC mission and process, panellists will present use cases of current and ongoing concern. keywords: case; health; use cache: ojphi-5661.pdf plain text: ojphi-5661.txt item: #433 of 1513 id: ojphi-5662 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-05 words: 745 flesch: 22 summary: Many peer-reviewed papers on biosurveillance methods have been published by researchers, but few methods have been adopted in systems used by health departments. Data-sharing has posed difficult administrative problems, both within and external to health departments, in the course of ISDS Technical Conventions committee efforts to promote interactions through use case problems [2]. keywords: data; departments; health cache: ojphi-5662.pdf plain text: ojphi-5662.txt item: #434 of 1513 id: ojphi-5663 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-05 words: 673 flesch: 35 summary: The panel will begin with the discussion of the various stakeholders necessary (including leadership from national organizations) to garner agreements on the importance and benefits of data linkage. We will explore issues such as access to personal identifiers, and how working with stakeholders to examine policy facilitators and barriers to accessing data, in order to perform data linkage between data sets that do not regularly talk to each other, is critical for driving the process forward. keywords: data; linkage; process cache: ojphi-5663.pdf plain text: ojphi-5663.txt item: #435 of 1513 id: ojphi-5664 author: Zachary, Iris title: ojphi-5664 date: 2015-06-30 words: 5284 flesch: 52 summary: The standardization of cancer registry data is an important part of cancer registration, and registries have expanded from approximately 25 required data elements to more than 200 required data elements within the last two decades. Evaluation, surveillance, and prevention of cancer rely on the statistics that are obtained from cancer registry data. keywords: cancer; collection; data; elements; health; information; registries; registry; research; respondents; survey cache: ojphi-5664.pdf plain text: ojphi-5664.txt item: #436 of 1513 id: ojphi-5665 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-05 words: 854 flesch: 47 summary: Conclusions Syndromic surveillance identified temporal and spatial patterns in gunshot related visits that are comparable to findings from the New York Police Department, suggesting that ED syndromic data have potential to be an accurate near-real time tracking system of gun-related injuries. We calculated relative risks and 95% confidence intervals for gunshot-related ED visits compared with other ED visits for temporal, spatial and weather-related characteristics. keywords: gunshot; visits cache: ojphi-5665.pdf plain text: ojphi-5665.txt item: #437 of 1513 id: ojphi-5666 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-05 words: 739 flesch: 28 summary: Porcine Circovirus 2 was shown to be occurring on swine farms in spite of vaccine use, with improper vaccination being identified as the cause Conclusions The CSHIN infrastructure has been developed and the program rolled out across Canada. Because swine farms are relatively large populations in themselves participating veterinarians report farm level data such as the prevalence of syndromes (coughing, diarrhea, neurological etc) within production groups (sows, boars, piglets, etc), as well as individual clinical and laboratory diagnosis Both networks produce swine health intelligence that is delivered directly to swine farms by participating veterinarians and to other stakeholders through various communication networks. keywords: canada; data; swine; veterinarians cache: ojphi-5666.pdf plain text: ojphi-5666.txt item: #438 of 1513 id: ojphi-5672 author: scholcommuser title: ojphi-07-e9.pdf date: 2015-02-05 words: 793 flesch: 31 summary: Using BioSense 2.0 frontend data, an ecological study design may allow for analyses to determine the impact of inversion on ED visits for respiratory syndrome and subsyndromes from submitting facilities in Salt Lake County, UT. These data suggest that voluntary and mandatory action days were associated with higher proportions of respiratory visits for most respiratory conditions. keywords: aqi; biosense; visits cache: ojphi-5672.pdf plain text: ojphi-5672.txt item: #439 of 1513 id: ojphi-5674 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-06 words: 780 flesch: 41 summary: ISDS 2014 Conference Abstracts An Evaluation of the Biosense 2.0 “Poisoning by Medicines” Syndrome Using Chief-Complaint Data in Utah Anne Burke*, David Jackson and Allyn K. Nakashima Bureau of Epidemiology, Utah Department of Health, Salt Lake City, UT, USA Objective To evaluate the BioSense 2.0 “poisoning by medicines” syndrome by determining chief complaint terms for inclusion and exclusion based upon pre-defined ICD-9 codes and a comparison of binned and unbinned chief complaint data. Chief complaint terms for inclusion and exclusion in the “poisoning by medicines” syndrome Keywords BioSense 2.0; Syndrome definition; keywords: medicines; poisoning; syndrome cache: ojphi-5674.pdf plain text: ojphi-5674.txt item: #440 of 1513 id: ojphi-5675 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-05 words: 817 flesch: 45 summary: Using Fisher’s exact test, anomalous words from the current 8-hr block may be presented to human health monitors up to 3 times each day. Multiple alerting thresholds, block sizes, and hypothesis tests were tested to achieve both types of detection with at most a handful of anomalous words expected from each block. keywords: ccs; terms; words cache: ojphi-5675.pdf plain text: ojphi-5675.txt item: #441 of 1513 id: ojphi-5676 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-05 words: 728 flesch: 49 summary: After accounting for the average price ratio of soda to water, the month and the average maximum temperature, from the time of the intervention to the end of the study period there was an average 26% increase in water sales (1.26, 95% CI 1.09, 1.46) and 12% decrease in soda sales (0.88; 95% CI 0.78, 0.97), resulting in an average 30% decrease in the proportion of sales of soda (odds ratio 0.70; 95% CI 0.61, 0.95). The outcomes were the number of soda and water servings purchased per month and the proportion of servings (out of water and soda) that were soda servings. keywords: intervention; soda; water cache: ojphi-5676.pdf plain text: ojphi-5676.txt item: #442 of 1513 id: ojphi-5677 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-06 words: 574 flesch: 24 summary: PPFST Working Group leaders will present workshop outcomes, and seek feedback on the Working Group’s direction from the ISDS community. Introduction The National Science and Technology Council, within the Executive Office of the President, established the Pandemic Prediction and Forecasting Science and Technology (PPFST) Working Group in 2013. keywords: forecasting; group; prediction cache: ojphi-5677.pdf plain text: ojphi-5677.txt item: #443 of 1513 id: ojphi-5678 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-06 words: 679 flesch: 38 summary: Keywords Syndromic Surveillance; MERS; BioSense Acknowledgments CDC DHIS, CDC EOC, Participatory and Consultant State and Local Jurisdictions *Michael Coletta E-mail: mac0@cdc.gov Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 7(1):e14, 2015 However, many stakeholders viewed this attempt to enhance the national MERS surveillance picture as a model to expand, and a success that may improve trust among jurisdictions giving hope for providing meaningful national SyS data in the future. keywords: jurisdictions; mers; surveillance cache: ojphi-5678.pdf plain text: ojphi-5678.txt item: #444 of 1513 id: ojphi-5679 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-06 words: 749 flesch: 43 summary: Additional case data are entered into the tablet at the facility and the household. MEEDS enabled 159 government primary health care units to use simple forms displayed on feature phone handsets to submit weekly aggregate case data via Unstructured Supplementary Service Data (USSD). keywords: case; malaria; surveillance; system cache: ojphi-5679.pdf plain text: ojphi-5679.txt item: #445 of 1513 id: ojphi-5680 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-06 words: 703 flesch: 45 summary: Primary complications were due to the usage of ZCTA for census data and the usage of zip code for patient records. By incorporating census data, a deeper examination of the patient’s area can be performed which may result in discovery of risk factors associated with race, economic status, and culture. keywords: census; data cache: ojphi-5680.pdf plain text: ojphi-5680.txt item: #446 of 1513 id: ojphi-5681 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-09 words: 786 flesch: 41 summary: Age, disease category, insurance type and disposition were significantly associated with EMS utilization (p’s <0.001). The effect of insurance type on EMS utilization varied by patient age. keywords: ems; pcc cache: ojphi-5681.pdf plain text: ojphi-5681.txt item: #447 of 1513 id: ojphi-5682 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-09 words: 480 flesch: 18 summary: This will enable the prevalence of AMR genes in each of the four airborne microbial communities to be assessed. Lastly, a functional metagenomics screen is being carried out for antibiotic resistance genes against seven antibiotics: gentamycin, chloramphenicol, ciprofloxin, trimethoprim, colistin, tetracyline and penicillin. keywords: amr; resistance cache: ojphi-5682.pdf plain text: ojphi-5682.txt item: #448 of 1513 id: ojphi-5683 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-09 words: 747 flesch: 44 summary: Veterinary Syndromic Surveillance Streamlined into one R Package Fernanda C. Dórea*, Stefan Widgrén and Ann Lindberg Department of Epidemiology and Disease Control, National Veterinary Institute, Uppsala, Sweden Objective To describe an R package that was designed to provide ready implementation of veterinary syndromic surveillance systems, from classified data to the generation of alerts and an html interface. A full tutorial is available, which further helps streamlining the process, facilitating the implementation of syndromic surveillance systems by veterinary epidemiologists. keywords: data; surveillance; veterinary cache: ojphi-5683.pdf plain text: ojphi-5683.txt item: #449 of 1513 id: ojphi-5684 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-09 words: 646 flesch: 39 summary: Figure 1: Influenza test results by Week throughout the 2013-2014 Influenza season Keywords Influenza; Clinical Decision Support; Surveillance Acknowledgments This work was supported by the Cooperative Agreement IDSEP130014- 01-00 from The Assistant Secretary for Preparedness and Response. ISDS 2014 Conference Abstracts Real-time Laboratory-Based Influenza Surveillance with Xpert Flu Andrea Dugas*1, Howard Burkom2, Richard Rothman1 and on behalf of the National Emergency Department Influenza Consortium1 1Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA; 2Johns Hopkins Applied Physics Lab, Baltimore, MD, USA Objective To demonstrate the feasibility and validity of a novel electronic surveillance system utilizing a cloud-based interface that consolidates laboratory test results and geographical information in real-time. keywords: influenza; results; surveillance cache: ojphi-5684.pdf plain text: ojphi-5684.txt item: #450 of 1513 id: ojphi-5686 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-09 words: 768 flesch: 47 summary: Only one significant cluster was detected in eastern France when cattle with viable cysts only were taken into account (Figure B). The difference in location of the clusters detected, when considering only cattle harboring viable cysts or cattle harboring all types of cysts, proved the relevancy of this novel approach. keywords: cattle; cysts; france cache: ojphi-5686.pdf plain text: ojphi-5686.txt item: #451 of 1513 id: ojphi-5687 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-02 words: 656 flesch: 32 summary: Results During the data call, two states will submit radon test data for 1993-present, one state will submit data since 2005, and the remaining three states 1-5 years of data. The work group provides guidance on developing the capability for receiving and displaying radon data on the Tracking Network. keywords: data; radon; test cache: ojphi-5687.pdf plain text: ojphi-5687.txt item: #452 of 1513 id: ojphi-5688 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-09 words: 842 flesch: 45 summary: We estimated the burden of severe pneumonia, pneumococcal pneumonia and pneumonia deaths in Indian states using a mathematical model through application of vaccine probe methodology and attributable fraction. In this context, we have generated Indian state specific burden of severe pneumonia, pneumococcal pneumonia and pneumonia deaths through use of mathematical model. keywords: cases; deaths; pneumonia cache: ojphi-5688.pdf plain text: ojphi-5688.txt item: #453 of 1513 id: ojphi-5689 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-09 words: 773 flesch: 47 summary: Conclusions The pilot study indicates that MVC injury related ICD9-CM codes in SS ED data are highly correlated with ED HDD. Each year, between 2011 and 2014 a spike of MVC injury related ED visits occurred during significant climate, sports, and entertainment events. keywords: data; mvc cache: ojphi-5689.pdf plain text: ojphi-5689.txt item: #454 of 1513 id: ojphi-5690 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-10 words: 564 flesch: 31 summary: Introduction A Neolithic transformation is underway in public health, where the ubiquity of digital healthcare (HC) data is changing public health’s traditional role as data hunter-gatherers to one of data farmers harvesting huge reserves of electronic data. ILINet 1.0 began in the 1980s and represents a largely unchanged, ongoing hunter-gatherer approach to ILI outpatient surveillance involving the independent efforts of all state health departments. keywords: data; ilinet cache: ojphi-5690.pdf plain text: ojphi-5690.txt item: #455 of 1513 id: ojphi-5691 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-10 words: 712 flesch: 38 summary: Introduction Missed opportunities for influenza vaccination in office-based settings occur when patients (who are inclined to accept influenza vaccination if a provider recommends it) remain unvaccinated after a fall/winter healthcare visit. Healthcare providers can be very influential in encouraging patients to obtain influenza vaccination, but little is known in real-time during annual campaigns of how many and what type of providers are actually giving vaccinations in office settings. keywords: influenza; mdvax; office cache: ojphi-5691.pdf plain text: ojphi-5691.txt item: #456 of 1513 id: ojphi-5692 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-10 words: 701 flesch: 40 summary: In the summer of 2013, the New Jersey Department of Health (NJDOH) began planning for Super Bowl XLVIII to be held on February 2, 2014, in Met Life Stadium, located in the Meadowlands of Bergen County. Communicable Disease Surveillance for Super Bowl XLVIII – New Jersey, 2014 Teresa Hamby*1, Andrew Walsh2, Lisa McHugh1, Stella Tsai1 and Edward Lifshitz1 1New Jersey Department of Health, Trenton, NJ, USA; 2Health Monitoring Systems, Inc, Pittsburgh, PA, USA Objective To describe the surveillance planning and activities for a large- scale event (Super Bowl XLVIII) using New Jersey’s syndromic surveillance system (EpiCenter) keywords: bowl; super; surveillance cache: ojphi-5692.pdf plain text: ojphi-5692.txt item: #457 of 1513 id: ojphi-5693 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 724 flesch: 36 summary: ISDS 2014 Conference Abstracts Preparing for the Impact of the ICD-9/10 Transition on Syndromic Surveillance Peter Hicks1, Julie A. Pavlin2, Atar Baer3, David Swenson4, Aaron Kite-Powell5, Achala U. Jayatilleke1, Brooke Evans*6 and Laura C. Streichert6 1CDC, Atlanta, GA, USA; 2Armed Forces Health Surveillance Center, Silver Spring, MD, USA; 3Public Health—Seattle & King County, Seattle, WA, USA; 4State of New Hampshire, Concord, NH, USA; 5CNTS support to AFHSC, Silver Spring, MD, USA; 6ISDS, Brighton, MA, USA Objective To describe the process undertaken to translate syndromic surveillance syndromes and sub-syndromes from ICD-9 diagnostic codes to ICD-10 codes and how these translations can be used to improve syndromic surveillance practice. Methods Translation from ICD-9 to ICD-10 codes involves a rethinking of how syndromes and sub-syndromes are defined and aligned with practical syndromic surveillance practice. keywords: codes; icd-10; surveillance cache: ojphi-5693.pdf plain text: ojphi-5693.txt item: #458 of 1513 id: ojphi-5694 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 757 flesch: 46 summary: For example, 13.1% of excess ED visits were for children under age 5, while 9.7% of estimated infections were in that age group. The proportion of infections by age group is similar but not identical to the proportion of excess ED visits. keywords: influenza; visits cache: ojphi-5694.pdf plain text: ojphi-5694.txt item: #459 of 1513 id: ojphi-5695 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 734 flesch: 33 summary: The syndrome percentage means of BioSense and LEEDS syndrome pairs were compared with paired t-tests. The linear relationship between BioSense and LEEDS syndrome pairs were measured with Pearson correlation coefficients. keywords: biosense; syndrome cache: ojphi-5695.pdf plain text: ojphi-5695.txt item: #460 of 1513 id: ojphi-5696 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 701 flesch: 55 summary: Geospatial Reporting of Health Demographic Surveillance in a Peri Urban Setting. Each married woman, pregnant woman and <5 year child’s unique ID is collated with GPS coordinate of structures they live in. keywords: health; stillbirths cache: ojphi-5696.pdf plain text: ojphi-5696.txt item: #461 of 1513 id: ojphi-5697 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 782 flesch: 34 summary: BMC Public Health 2002,2:2 Technical Guidelines for Integrated Disease and Response in the African Region (2nd Edition) October 2012 *Ngozi A. Erondu E-mail: ngozierondu@gmail.com Online Journal of Public Health Informatics * Conceptual Framework of Public Health Surveillance and Action and its Application in Health Sector Reform. keywords: health; phs; sudan cache: ojphi-5697.pdf plain text: ojphi-5697.txt item: #462 of 1513 id: ojphi-5698 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 627 flesch: 39 summary: As surveillance is a core function of public health practice, public health practitioners need to be well equipped to achieve this function and address present and future public health challenges. Content experts should be involved in the delivery of training as sharing their knowledge and experience also improves public health surveillance practice. keywords: health; surveillance cache: ojphi-5698.pdf plain text: ojphi-5698.txt item: #463 of 1513 id: ojphi-5699 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 594 flesch: 50 summary: Keywords syndromic surveillance; mental health; disaster References 1. ISDS 2014 Conference Abstracts Using Hospital ED Data to Identify Mental Illness Trends After Hurricane Sandy Ursula Lauper*1, Cristian Pantea1, Jian-Hua Chen2, Hwa-Gan Chang2 and Shao Lin1 1Bureau of Environmental and Occupational Epidemiology, New York State Department of Health, Albany, NY, USA; 2Division of Epidemiology, New York State Department of Health, Albany, NY, USA Objective 1) To define mental health keywords using daily hospital emergency department chief complaint (EDCC) data during and after Hurricane Sandy 2) To track short- and long-term trends in mental health EDCCs. keywords: health; new; sandy cache: ojphi-5699.pdf plain text: ojphi-5699.txt item: #464 of 1513 id: ojphi-5700 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 708 flesch: 33 summary: Current NPDS surveillance algorithms utilize the Historical Limits Method, which identifies a data anomaly when call volumes exceed a statistical threshold derived from multiple years of historical data [ref]. ISDS 2014 Conference Abstracts Assessment of National Poison Data System Algorithms to identify Public Health Events Royal K. Law*1, Howard Burkom2, Alvin Bronstein3 and Josh Schier1 1Centers for Disease Control and Prevention, Chamblee, GA, USA; 2Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA; 3American Association of Poison Control Centers, Alexandria, VA, USA Objective To compare the effectiveness of current surveillance algorithms used in the National Poison Data System (NPDS) to identify incidents of potential public health significance with 1) new algorithms using expanded NPDS surveillance capabilities and 2) methods beyond the NPDS’ generalized historical limits model. keywords: data; npds; surveillance cache: ojphi-5700.pdf plain text: ojphi-5700.txt item: #465 of 1513 id: ojphi-5701 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 710 flesch: 31 summary: The Common Ground Preparedness Framework (CGPF) was developed through a three-year collaboration of eight state and local health departments to define and categorize PH business processes related to preparedness to include prepare, manage, monitor, investigate, intervene and recover. It demonstrates that PHIN content standards supports standardization of all four business processes that comprise the CGPG PH threats Monitoring category. keywords: data; standards cache: ojphi-5701.pdf plain text: ojphi-5701.txt item: #466 of 1513 id: ojphi-5702 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-11 words: 790 flesch: 41 summary: No ICD-9 code query or ESSENCE syndrome group has been useful for early CHIKV case identification. Limitations with electronic laboratory reports included lack of CHIKV testing (many suspect cases identified via ESSENCE could not be confirmed), long turn-around times for results and lack of uniformity in lab test naming. keywords: cases; chikv; icd-9 cache: ojphi-5702.pdf plain text: ojphi-5702.txt item: #467 of 1513 id: ojphi-5703 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 836 flesch: 54 summary: Monthly trends of ED visits among counties with high enrollment into the plan will be compared to ED visits among counties with lower enrollment to assess for differences in ED utilization before and after the launch of the HMP. As of September 2014, there were 88/136 hospital EDs enrolled in MSSS, capturing 83% of the annual hospital ED visits in Michigan. keywords: health; visits cache: ojphi-5703.pdf plain text: ojphi-5703.txt item: #468 of 1513 id: ojphi-5704 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 745 flesch: 45 summary: Our goal was to evaluate methods for outbreak detection and apply the best performing method(s) to our daily analysis of syndromic data. Methods We tested six temporal aberration detection methods: a modified C2 algorithm keywords: detection; methods; outbreak cache: ojphi-5704.pdf plain text: ojphi-5704.txt item: #469 of 1513 id: ojphi-5705 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 746 flesch: 34 summary: Conclusions This study is unique in that it is the first scientific investigation into the harnessing of Wikipedia usage data over time to estimate the burden of disease in a population. Not only is the information held within Wikipedia articles very useful on its own, but statistics and trends surrounding the amount of usage of particular articles, frequency of article edits, region specific statistics, and countless other factors make the Wikipedia environment an area of interest for researchers. keywords: data; ili cache: ojphi-5705.pdf plain text: ojphi-5705.txt item: #470 of 1513 id: ojphi-5706 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 759 flesch: 49 summary: Conclusions Our results indicated that misdiagnosis of TB may be occurring in more than 20% of TB patients diagnosed in inpatient and emergency department settings. These findings call for an increased awareness in TB surveillance, especially to prevent healthcare associated spread of TB. keywords: diagnosis cache: ojphi-5706.pdf plain text: ojphi-5706.txt item: #471 of 1513 id: ojphi-5707 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 788 flesch: 45 summary: This should allow physicians to detect influenza cases and strengthen surveillance and preventive measures at the approach of rainy seasons. Sequential logistic regression models were used to predict the epidemiological and clinical profiles, and multiple linear regression was used to assess the association between the number of weekly influenza cases and rainfall, relative humidity and ambient temperature. keywords: abidjan; d’ivoire; influenza cache: ojphi-5707.pdf plain text: ojphi-5707.txt item: #472 of 1513 id: ojphi-5708 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 553 flesch: 30 summary: We will give a brief overview on the following document sections: 1) introduction and purpose of disaster surveillance, 2) disaster surveillance systems and practices for implementing them, 3) analysis and dissemination of data, and 4) evaluating the effectiveness of disaster surveillance systems. We also hope to increase awareness of and improve surveillance tools to aid in planning for and implementing disaster surveillance. keywords: disaster; surveillance cache: ojphi-5708.pdf plain text: ojphi-5708.txt item: #473 of 1513 id: ojphi-5709 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 624 flesch: 26 summary: Methods The Tracking Network initiated an exploratory project with the goals of determining: i) the data that the Tracking Network can use from EHR; ii) information that can be included in EHR to enhance environmental public health surveillance; and iii) potential use of Tracking Network data in an EHR e.g., for community health needs assessments. This presentation will discuss how the Tracking Network is exploring the use of EHR to meet Tracking Network surveillance challenges and provide other opportunities to enhance environmental public health surveillance Introduction The Environmental Public Health Tracking Network (Tracking Network) is a national surveillance system that integrates environmental hazard, exposure, and health outcome data into one system. keywords: data; health cache: ojphi-5709.pdf plain text: ojphi-5709.txt item: #474 of 1513 id: ojphi-5710 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 841 flesch: 53 summary: Other clusters found specific subpopulations, e.g., 7 young adults complaining of smoke inhalation. Since topics dynamically adapt to current data, semantic scan can identify emerging clusters that public health officials could not have predicted in advance. keywords: clusters; data; scan cache: ojphi-5710.pdf plain text: ojphi-5710.txt item: #475 of 1513 id: ojphi-5711 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 806 flesch: 33 summary: Consideration of data quality is particularly important when integrating data from diverse clinical, population-based, and other sources. ISDS 2014 Conference Abstracts Towards a Framework for Data Quality Properties of Indicators used in Surveillance Ian Painter*1, Lauren Carroll1, David Buckeridge2 and Neil Abernethy1 1University of Washington, Seattle, WA, USA; 2McGill University, Montreal, QC, Canada Introduction Effective use of data for disease surveillance depends critically on the ability to trust and quantify the quality of source data. keywords: data; malaria; quality cache: ojphi-5711.pdf plain text: ojphi-5711.txt item: #476 of 1513 id: ojphi-5712 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-12 words: 713 flesch: 28 summary: PHII also provided a gap analysis between available tools for community health assessments and current needs. The PHCP has the potential to provide a single source for public health decision support solutions, reducing the number of redundant systems. keywords: development; health; phcp cache: ojphi-5712.pdf plain text: ojphi-5712.txt item: #477 of 1513 id: ojphi-5713 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-13 words: 757 flesch: 35 summary: For deciding alert thresholds, we have considered not only statistical aspects but also the capacity for alert investigation. Lower algorithm thresholds produced shorter detection delays but also reduced PPV. keywords: korea; surveillance; system cache: ojphi-5713.pdf plain text: ojphi-5713.txt item: #478 of 1513 id: ojphi-5714 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-03-10 words: 739 flesch: -1 summary: The surveillance strategy describes how CDC will: � enhance accountability, resource use, workforce and innovation for surveillance by establishing a Surveillance Leadership Board, a surveillance workforce plan, and an innovation consortium; � accelerate the utilization of emerging tools and approaches to improve the availability, quality, and timeliness of surveillance data by establishing enhanced HIT policy engagement, HIT vendor forums, and informatics innovation projects; and � initiate four cross cutting surveillance system initiatives to improve surveillance by addressing data availability, system usability, redundancies, and incorporation of new information technologies Introduction Public health surveillance guides efforts to detect and monitor disease and injuries, assess the impact of interventions and assist in the management of and recovery from large-scale public health incidents. The Strategy guides efforts to make essential surveillance systems more adaptable to the rapidly changing technology landscape, more versatile in meeting demands for expanding knowledge about evolving threats to health, and more able to meet the demands for timely and population- specific and geographically specific surveillance information. keywords: cdc; health; surveillance cache: ojphi-5714.pdf plain text: ojphi-5714.txt item: #479 of 1513 id: ojphi-5715 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-13 words: 710 flesch: 32 summary: As RSV is not reportable in Florida, RSV surveillance relies on a small subset of all Florida hospital laboratories to report data in aggregate and calculation of percent positive of all tests for RSV performed. The Council for State and Territorial Epidemiologists position statement (13-ID-07): “RSV-Associated Pediatric Mortality” advocates for improved RSV surveillance including monitoring of RSV-associated pediatric mortality and hospitalizations. keywords: data; rsv cache: ojphi-5715.pdf plain text: ojphi-5715.txt item: #480 of 1513 id: ojphi-5716 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-13 words: 728 flesch: 54 summary: Given the increased number of pertussis cases in the Western US, and that approximately 20% of these cases occurred in patients >20 years of age, we performed pertussis surveillance in Veterans in care at VA medical facilities. Using QCP, we defined laboratory confirmed pertussis cases as having a positive culture or PCR test from a respiratory site or a positive Bordetella IgM result, since the latter test was commonly used by providers. keywords: cases; pertussis cache: ojphi-5716.pdf plain text: ojphi-5716.txt item: #481 of 1513 id: ojphi-5717 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-13 words: 670 flesch: 31 summary: While social media data cannot directly diagnose illness, aggregate trends in symptom proliferation may readily be observed. The use of social media data allows for rapid identification of emerging outbreaks and provides a wealth of soft information, quantitative, and qualitative data to aid in an investigation. keywords: chattergrabber; health; media cache: ojphi-5717.pdf plain text: ojphi-5717.txt item: #482 of 1513 id: ojphi-5718 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-13 words: 686 flesch: 30 summary: Methods This project included a review of data obtained from a survey of public health practitioners recruited among members of the International Society for Disease Surveillance (ISDS) Public Health Practice Committee (PHPC) during 2012 and 2013 (1, 2). The emergence of novel influenza and other respiratory viruses and other emerging diseases offer new challenges to public health practitioners. keywords: health; influenza; surveillance cache: ojphi-5718.pdf plain text: ojphi-5718.txt item: #483 of 1513 id: ojphi-5719 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-13 words: 801 flesch: 45 summary: The forecasts of influenza attack rates and peak times were used by decision makers to guide allocation and efficient use of resources, such as acquisition of additional vaccine or decisions about opening a rapid assessment centre, and public communications. Alberta Health Public Health Notifiable Disease Management Guidelines, October 2012. keywords: health; influenza; model; peak cache: ojphi-5719.pdf plain text: ojphi-5719.txt item: #484 of 1513 id: ojphi-5720 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-13 words: 731 flesch: 38 summary: This penalization allows StarScan to find irregularly-shaped clusters more accurately than either the circular scan or unconstrained fast subset scan, both of which are shown to be special cases of StarScan with appropriate choices of penalty. Introduction Kulldorff’s spatial scan statistic1 detects significant spatial clusters of disease by maximizing a likelihood ratio statistic over circular spatial regions. keywords: radius; starscan; subset cache: ojphi-5720.pdf plain text: ojphi-5720.txt item: #485 of 1513 id: ojphi-5721 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 789 flesch: 39 summary: ISDS 2014 Conference Abstracts Classifying Supporting, Refuting, or Uncertain Evidence for Pneumonia Case Review Brett R. South*1, 2, Heidi S. Kramer1, 2, Barbara Jones1, 2, Melissa Tharp1 and Wendy Chapman1, 2 1Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; 2VA Salt Lake City Health Care System, Salt Lake City, UT, USA Objective We sought to identify relevant evidence that supports, refutes or contributes uncertainty when reviewing cases of suspected pneumonia and characterize their interaction with uncertainty phenomena found in clinical texts. Introduction Characterizing mentions found in clinical texts that support, refute, or represent uncertainty for suspected pneumonia is one area where automated Natural Language Processing (NLP) screening algorithms could be improved. keywords: health; pneumonia; uncertainty cache: ojphi-5721.pdf plain text: ojphi-5721.txt item: #486 of 1513 id: ojphi-5722 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 720 flesch: 42 summary: Figure 1 shows the percentage of the ZCTA population with public insurance coverage as an indicator of ED usage. Some reports in the literature do not fit this model of ED usage. keywords: data; usage cache: ojphi-5722.pdf plain text: ojphi-5722.txt item: #487 of 1513 id: ojphi-5723 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 733 flesch: 47 summary: Conclusions This study successfully demonstrated that BMI can be extracted from ambulatory syndromic surveillance messages. The value of this data for syndromic surveillance as an adjunct to the more widely adopted emergency department registrations has not been studied extensively. keywords: bmi; surveillance cache: ojphi-5723.pdf plain text: ojphi-5723.txt item: #488 of 1513 id: ojphi-5724 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 756 flesch: 30 summary: Current disability data in Sri Lanka are non-comparable locally and internationally because they are not based on a scientific disability classification system. ISDS 2014 Conference Abstracts Development of National Disability Surveillance System in Sri Lanka Inoka E. Weerasinghe*1, 2 and Sumedha Jayatilake3 1Ministry of Health, Colombo, Sri Lanka; 2Center for Injury Research and policy, Johns Hopkins University, Baltimore, MD, USA; 3Faculty of Dentistry, University of Peradeniya, Peradeniya, Sri Lanka Objective To review the national disability statistics and to develop a methodology for the establishment of a national disability surveillance system in Sri Lanka. keywords: disability; sri cache: ojphi-5724.pdf plain text: ojphi-5724.txt item: #489 of 1513 id: ojphi-5725 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 689 flesch: 50 summary: We calculated opioid poisoning rates per 1,000 inpatient admissions by age group and U.S. Census region. ISDS 2014 Conference Abstracts Surveillance for Opioid Overdose in the Veterans Health Administration, 2004-2014 Carla Winston* and Mark Holodniy U.S. Department of Veterans Affairs, Palo Alto, CA, USA Objective To examine inpatient admissions for opioid overdose among U.S. Veterans using national-level surveillance data. keywords: opioid; overdose; veterans cache: ojphi-5725.pdf plain text: ojphi-5725.txt item: #490 of 1513 id: ojphi-5726 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 809 flesch: 43 summary: We also utilized an online learning management platform that lets course managers track learner progress and share supporting materials. We observed that computer literacy for onsite participants ranged from competent to very basic. keywords: course; health; surveillance cache: ojphi-5726.pdf plain text: ojphi-5726.txt item: #491 of 1513 id: ojphi-5727 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 707 flesch: 38 summary: Median duration of school closures was 5 work days (range: 4-7days). To better understand this unintended impact, we conducted five investigations of unplanned school closures lasting 4 school days implemented for various reasons from August 2012 through May 2013. keywords: closures; school cache: ojphi-5727.pdf plain text: ojphi-5727.txt item: #492 of 1513 id: ojphi-5729 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 770 flesch: 29 summary: USSOCOM biosurveillance data and information requirements as well as system requirements were laid out in a requirements document that was validated in May 2014. Many other government systems are also being developed on the OWF, which allows all of these systems to easily integrate, as needed, and allows the U.S. government to produce multiple types of systems in the most cost efficient manner without duplicating efforts. keywords: biosurveillance; bsp; government cache: ojphi-5729.pdf plain text: ojphi-5729.txt item: #493 of 1513 id: ojphi-5730 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 750 flesch: 52 summary: This study aims to use existing syndromic surveillance data received electronically by the Virginia Department of Health (VDH) to describe demographic and utilization characteristics among chronic high frequency ED users in order to better understand the health complaints affecting this population. Future research is needed to determine how chronic high frequency ED users differ from non-chronic users to establish potential focuses for interventions to reduce their burden on emergent health care services. keywords: health; users cache: ojphi-5730.pdf plain text: ojphi-5730.txt item: #494 of 1513 id: ojphi-5731 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-16 words: 515 flesch: 39 summary: The active surveillance data are infectious disease data collected by Tarrant County. The tools to assess disease distribution are readily available; it is the structure of syndromic data that is limiting widespread adoption of existing software. keywords: data; surveillance cache: ojphi-5731.pdf plain text: ojphi-5731.txt item: #495 of 1513 id: ojphi-5732 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-17 words: 596 flesch: 32 summary: NBIC began reporting on border health issues at the beginning of FY 2014, through briefs to DHS components and OHA leadership and through timely situational reports to federal, state, and local partners. Conclusions Timely identification and early awareness of health hazards is essential for protecting personnel, ensuring appropriate resource allocation, and supporting public health intervention strategies. keywords: health; uacs cache: ojphi-5732.pdf plain text: ojphi-5732.txt item: #496 of 1513 id: ojphi-5733 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-17 words: 830 flesch: 47 summary: In some areas, such as New York City, the reporting of pregnancy status, if available, is required.2 This study quantifies the opportunities for reducing perinatal HIV transmission if pregnancy status was available on laboratory reports and determines if this information would have been useful for targeting these pregnancies for follow up from Disease Intervention Specialists (DIS). The mothers were divided into three groups: ‘HIV status known at/after delivery’, ‘HIV status known during pregnancy’, ‘HIV status known before pregnancy’. keywords: hiv; pregnancy cache: ojphi-5733.pdf plain text: ojphi-5733.txt item: #497 of 1513 id: ojphi-5734 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-17 words: 751 flesch: 31 summary: ISDS 2014 Conference Abstracts CIPARS: A One-Health Approach to Antimicrobial Resistance Surveillance Anne Deckert*1, Agnes Agunos1, Brent Avery1, Carolee Carson1, Danielle Daignault2, Rita Finley3, Sheryl Gow4, David Léger1, Michael Mulvey5, Jane Parmley1, Richard Reid-Smith1 and Rebecca Irwin1 1Laboratory for Foodborne Zoonoses, Public Health Agency of Canada, Guelph, ON, Canada; 2Laboratory for Foodborne Zoonoses, Public Health Agency of Canada, St Hyacinthe, QC, Canada; 3Centre for Foodborne, Environmental, and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, ON, Canada; 4Laboratory for Foodborne Zoonoses, Public Health Agency of Canada, Saskatoon, SK, Canada; 5National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada Objective The objective of the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) is to provide a unified approach to monitor national trends in antimicrobial resistance (AMR) and antimicrobial use (AMU) in humans and animals and to facilitate the assessment of the public health impact of antimicrobial use. CIPARS data are also used in outbreak investigations, post-approval monitoring of veterinary drugs, research, and source attribution. keywords: canada; data; health cache: ojphi-5734.pdf plain text: ojphi-5734.txt item: #498 of 1513 id: ojphi-5735 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-17 words: 789 flesch: 33 summary: Reports included five case definitions and a table reporting jurisdiction name, date, number of MERS case investigated and number of MERS cases ruled out. Conclusions In spite of limitations such as low participation and lack of agreement among the jurisdictions in sharing data, CDC BioSense staff was able to provide meaning full data to EOC for enhanced surveillance on MERS like syndrome. keywords: mention; mers; surveillance cache: ojphi-5735.pdf plain text: ojphi-5735.txt item: #499 of 1513 id: ojphi-5736 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-17 words: 702 flesch: 44 summary: Methods We examined weekly counts of ED visits for alcohol-related conditions from all but one hospital in King County, Washington, for the period January 2010 – September 2013 (16 months after implementation of the law). Outcomes were ED visits with an alcohol-related chief complaint or diagnosis code. keywords: alcohol; visits cache: ojphi-5736.pdf plain text: ojphi-5736.txt item: #500 of 1513 id: ojphi-5737 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-17 words: 704 flesch: 39 summary: On the pre-survey, the majority of providers indicated that they sporadically obtain influenza surveillance actively (62%) and passively (48%), and that additional information on influenza prevalence would be useful (75%). ISDS 2014 Conference Abstracts Utility and Acceptability of Influenza Surveillance amongst Emergency Providers Andrea F. Dugas*1, Howard Burkom2, Anna L. DuVal1, Richard Rothman1 and a National Emergency Department Influenza Consortium1 1Johns Hopkins University, Baltimore, MD, USA; 2Johns Hopkins Applied Physics Lab, Baltimore, MD, USA Objective To evaluate the utility and acceptability of a real-time cloud based influenza surveillance tool amongst emergency department (ED) providers. keywords: influenza; providers; surveillance cache: ojphi-5737.pdf plain text: ojphi-5737.txt item: #501 of 1513 id: ojphi-5738 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-17 words: 773 flesch: 37 summary: We will also present methods used to design an operational standard for meningitis surveillance in Chad and a cost extrapolation model for other meningitis affected countries in sub-Saharan Africa. The objective was to estimate the costs and assess the performance of meningitis surveillance in Chad to determine resources needed for implementing a district case- based surveillance strategy. keywords: chad; meningitis; surveillance cache: ojphi-5738.pdf plain text: ojphi-5738.txt item: #502 of 1513 id: ojphi-5739 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 775 flesch: 38 summary: The added values of syndromic surveillance data sources are the reactivity (daily collection) and the availability of individual information enabling description of patients and identification of the most vulnerable population groups. ISDS 2014 Conference Abstracts Chikungunya Epidemic in the French Overseas Territories using Syndromic Surveillance Anne Fouillet*1, Jacques Rosine2, Vanina Bousquet1, Sylvie Cassadou3, Luisiane Carvalho4, Martine Ledrans2, Audrey Andrieu2, Thierry Cardoso1 and Céline Caserio- Schönemann1 1French Institute for Public Health Surveillance, Saint Maurice, France; 2French Institute for Public Health Surveillance, Fort-de- France, Martinique; 3French institute for Public Health Surveillance, Pointe-à-Pitre, Guadeloupe; 4French Institute for Public Health Surveillance, Cayenne, French Guiana Objective Description of the temporal pattern of the chikungunya epidemic and the characteristics of patients in the French overseas territories of Americas using the French syndromic surveillance system SurSaUD. keywords: chikungunya; french; surveillance cache: ojphi-5739.pdf plain text: ojphi-5739.txt item: #503 of 1513 id: ojphi-5740 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 805 flesch: 41 summary: The mandatory transmission of ED data set up in july 2013 helped recently to improve the national coverage but with some adverse effects on coding practices which have to be carefully monitored. Evaluation After a 10-year Existence Anne Fouillet*, Vanina Bousquet, Isabelle Pontais, Anne Gallay and Céline Caserio- Schönemann French Institute for Public Health Surveillance (InVS), Saint Maurice, France Objective Implemented 10 years ago, the French emergency department surveillance system (Oscour Network) has been assessed using four major evaluation criteria in syndromic surveillance: stability, coverage, data quality and utility. keywords: data; surveillance; system cache: ojphi-5740.pdf plain text: ojphi-5740.txt item: #504 of 1513 id: ojphi-5741 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 336 flesch: 42 summary: We used time series analyses to compare observed and predicted ILI rates for the last week of each year and the first week of each new year using the Auto- Regressive Integrated Moving Average method. Results Most (72/90; 80%) observed ILI rates for the last week of the year were higher than predicted, and 12 among these 72 were even higher than the upper bound of 95% prediction interval. keywords: ili cache: ojphi-5741.pdf plain text: ojphi-5741.txt item: #505 of 1513 id: ojphi-5742 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 740 flesch: 43 summary: “Pneumonia in plan” describes the documentation of pneumonia as a possible diagnosis by the prescribing provider. The pneumonia CDA consists of: 1) a CDA for acute respiratory infection (ARI) that uses ICD-9 codes, free text analysis of EHR notes to find symptoms, and records of cough remedy prescriptions to detect ARI cases with a sensitivity of 99%, and 2) an automated chest imaging classifier that labels reports as non-negative (could possibly support a diagnosis of pneumonia) or negative.1 A manual chart review was completed for all visits flagged by the pneumonia CDA (detected by ARI CDA and having an associated non-negative chest imaging report). keywords: cases; cda; pneumonia cache: ojphi-5742.pdf plain text: ojphi-5742.txt item: #506 of 1513 id: ojphi-5743 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 802 flesch: 33 summary: Conclusions HHDHS developed a method for evaluating HIV resistance at the community level. A laboratory event package for HIV was customized for populating drug resistance data for different classes of antiretrovirals (e.g., Nucleoside and Nucleotide RT Inhibitors (NNRTI), NonNucleoside RT Inhibitors (NRTI), Protease Inhibitors (PI), etc.) that includes CD4 and viral load counts. keywords: health; hiv; resistance cache: ojphi-5743.pdf plain text: ojphi-5743.txt item: #507 of 1513 id: ojphi-5744 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 657 flesch: 48 summary: IMS suspect cases in FL were noted in Miami and other major population areas. We classified 066.3 patients as suspect CHIK cases. keywords: arbonet; cases; ims cache: ojphi-5744.pdf plain text: ojphi-5744.txt item: #508 of 1513 id: ojphi-5745 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 774 flesch: 31 summary: Many of the West Africa EVD-afflicted nations are resource-poor and already coping with major health challenges. Conclusions The West African epidemic will only be quelled through widespread adherence of public health initiatives promoting barrier- nursing techniques, health education, and the rapid identification of cases. keywords: africa; health; outbreak; west cache: ojphi-5745.pdf plain text: ojphi-5745.txt item: #509 of 1513 id: ojphi-5746 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 628 flesch: 28 summary: Conclusions There are many advantage to a standardized patient identifier incorporated into public health surveillance that will intergrate independent data collection systems and improve population health analysis. The MPI providers a mechanism for public health to manage multiple data streams, while maintaining confidentiality of health information and supporting the mission of public health to identify patterns of illness, apply effective interventions and conduct program evaluation. keywords: data; health; surveillance cache: ojphi-5746.pdf plain text: ojphi-5746.txt item: #510 of 1513 id: ojphi-5747 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 649 flesch: 35 summary: Methods Using the diagnosis coding received, respiratory indicators were developed, ranging from the most generic ‘all respiratory conditions’ which all EDs were able to provide, to more specific named conditions such as pneumonia and acute bronchitis which only those EDs using ICD10 or Snomed CT were able to report on. Conclusions The surveillance of named respiratory pathogens is possible using automated data extraction from EDs. keywords: surveillance; use cache: ojphi-5747.pdf plain text: ojphi-5747.txt item: #511 of 1513 id: ojphi-5748 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 774 flesch: 50 summary: Results Between November 29th, 2011 and August 18th, 2014 a total of 1090 patients underwent ED based POC HIV testing. In 2006, the CDC revised their recommendations for HIV testing in a variety of care settings including the ED. keywords: hiv; patients cache: ojphi-5748.pdf plain text: ojphi-5748.txt item: #512 of 1513 id: ojphi-5749 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 780 flesch: 42 summary: Due to differences in the types of data (ADT messages from EDs and CCD from outpatient clinics), as well as different patient populations and site visit capability, the percentages of patients classified as ILI between data sets are unequal. Two ILI classifiers were applied to both the GNOHIE and LEEDS data:the first classifier consisted of ICD-9 influenza codes and the second classifier consisted of keywords applied to encounter notes(GNOHIE data) and chief complaint, admit reason and diagnoses (LEEDS data). keywords: data; gnohie; leeds cache: ojphi-5749.pdf plain text: ojphi-5749.txt item: #513 of 1513 id: ojphi-5750 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 635 flesch: 51 summary: ISDS 2014 Conference Abstracts Assessing the Potential Impact of the BioSense 24-hour Rule Using NC DETECT ED Data Amy Ising*1, Clifton Barnett1, Dennis Falls1, Anna E. Waller1, John Wallace2 and Lana Deyneka2 1Emergency Medicine, UNC Chapel Hill, Chapel Hill, NC, USA; 2North Carolina Division of Public Health, NC DHHS, Raleigh, NC, USA Objective NC DETECT emergency department (ED) data were analyzed to assess the impact of applying the BioSense “24-hour rule” that combines ED visits into a single visit if the patient ID and facility ID are the same and the earliest recorded dates occur within the same 24-hour time frame. The percentage of ED visits “lost” to the 24-hour rule was calculated. keywords: data cache: ojphi-5750.pdf plain text: ojphi-5750.txt item: #514 of 1513 id: ojphi-5751 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 653 flesch: 48 summary: ISDS 2014 Conference Abstracts Preparing Disease Surveillance Systems for ICD10 Alimelu Jonnagadla*2, Wayne Loschen2, Julia Gunn1 and Jennifer Evans1 1Boston Public Health Commission, Boston, MA, USA; 2Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA Objective To help users seamlessly query and analyze data in disease surveillance systems using both ICD9 and ICD10 codes during the transition period. The described features have enabled the public health professionals to query the data using ICD10 codes without any concern of which code classification the data source originally included. keywords: icd10; transition cache: ojphi-5751.pdf plain text: ojphi-5751.txt item: #515 of 1513 id: ojphi-5752 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 790 flesch: 48 summary: In response to the rise in obesity rates and obesity-related healthcare costs over the past several decades, numerous organizations have implemented obesity prevention programs. Specifically, we developed models for predicting obesity rates from sets of tweets and developed a dashboard to provide interactive navigation and time slicing. keywords: health; obesity; prevention cache: ojphi-5752.pdf plain text: ojphi-5752.txt item: #516 of 1513 id: ojphi-5753 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 600 flesch: 49 summary: Influenza forecasting with google flu trends. Previously, GFT has been proven to strongly correlate with influenza incidence at the national and regional level.2,3 GFT has shown promise as an easily accessed tool to enhance influenza surveillance and forecasting; however, further geographic validation of city-level data is needed. keywords: gft; google; influenza cache: ojphi-5753.pdf plain text: ojphi-5753.txt item: #517 of 1513 id: ojphi-5754 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 756 flesch: 40 summary: Both HL7 v.2.5.12 and Clinical Document Architecture (CDA) messages3 can be used to facilitate the collection of HW EHR data. This process was followed to illustrate the feasibility and potential uses of HW data. keywords: data; health; information cache: ojphi-5754.pdf plain text: ojphi-5754.txt item: #518 of 1513 id: ojphi-5755 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 701 flesch: 47 summary: exposures.1 Little information exists on the uptake of PEP for HIV in the United States, particularly with regard to non- occupational exposures.2 ED data have been used previously to identify occupational PEP visits3 but have not been used extensively to describe trends in PEP visits overall. PEP visits as a proportion of total ED visits by year were used for analysis, and tests for trend were performed using logistic regression. keywords: hiv; pep; visits cache: ojphi-5755.pdf plain text: ojphi-5755.txt item: #519 of 1513 id: ojphi-5756 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 822 flesch: 45 summary: For a more complete picture of the landscape, future work will include a survey of SyS practice among local PHAs. Results for territories, comparisons with earlier surveys, and mixed-method analyses will be included in the presentation. keywords: biosense; data; sys cache: ojphi-5756.pdf plain text: ojphi-5756.txt item: #520 of 1513 id: ojphi-5757 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 803 flesch: 49 summary: Results Prior day weather data related to high temperature (r=-0.76), low temperature (r=-0.76), wind gust speed (r=-0.11) and wind chill (r=- 0.76) were negatively correlated with the 7 day MA ILI rate. In addition, the 7 day MA ILI rate was categorized into Widespread (ILI 12.5%), Imminent (12.5%< keywords: day; wind cache: ojphi-5757.pdf plain text: ojphi-5757.txt item: #521 of 1513 id: ojphi-5758 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-18 words: 589 flesch: 31 summary: Cross correlation study showed that in Epidemic Season 1, the subgroups of ILI data had 0~5 weeks’timeliness towards VPR data, with correlation coefficients between 0.52~0.84. Introduction Syndromic surveillance system has been developed and implemented all over the world, and many studies showed that syndromic data sources had improved timeliness towards traditional surveillance method in the early warning of some infectious disease epidemics. keywords: data; surveillance cache: ojphi-5758.pdf plain text: ojphi-5758.txt item: #522 of 1513 id: ojphi-5759 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 800 flesch: 34 summary: For ED visits binned in the ILI Syndrome category, 0.76% of ED visit CCs contained the term “I” before implementation compared to 0.89% of ED visit CCs after implementation. CC and discharge diagnosis (DD) data were analyzed for each hospital of interest to investigate potential disparities in the data for the time periods before and after implementation of self- registration, including changes to ED visits flagged by the system as Visits of Interest (VOI) and to visits binned in the influenza-like illness (ILI) syndrome category. keywords: data; registration; self cache: ojphi-5759.pdf plain text: ojphi-5759.txt item: #523 of 1513 id: ojphi-5760 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 737 flesch: 44 summary: Currently dog bites are the third leading cause of homeowner insurance claims, and are estimated to cost the insurance industry $489 million annually.2 When insurance costs are coupled with hospitalizations and lost productivity, dog bites are estimated to cost the United States $2 billion/year.3 However, the true impact of dog bite injuries remains unknown since discrepancies exist in the number of dog bite injuries being found by various mechanisms,4 and many bites may actually go unreported.5 In order to evaluate the true impact of dog bite injuries, the limitations of current surveillance methods must first be delineated and understood. Methods A review was conducted of the various surveillance methods for analyzing dog bite injuries. keywords: bite; dog; injuries cache: ojphi-5760.pdf plain text: ojphi-5760.txt item: #524 of 1513 id: ojphi-5761 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 731 flesch: 53 summary: During the 2013-14 flu season, for 10 cities with active surveillance for influenza (ILI), we correlated weekly tweeting rates and visual patterns of flu tweeting rates. The correlation (r) between flu tweeting rates and the regional CDC ILI records were calculated and trends were represented graphically. keywords: diego; flu; ili cache: ojphi-5761.pdf plain text: ojphi-5761.txt item: #525 of 1513 id: ojphi-5762 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 745 flesch: 19 summary: Using dynamic approaches to genomic sequence analysis, relevant whole genome data can be quickly and accurately visualized and correlated, using a minimum of computational resources. The virtual overlay of phylogenetic relationships onto isolate maps provides population structure in epidemiological studies and provides a mechanism for rapid real time analysis of transmission chains and effective retrospective analysis of pathogen evolutionary trends. keywords: analysis; data; genome cache: ojphi-5762.pdf plain text: ojphi-5762.txt item: #526 of 1513 id: ojphi-5763 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 666 flesch: 43 summary: Overdose Visits were compared to Overdose Deaths among Virginia residents from 2012-2013. Overdose Visits and Overdose Deaths were not significantly correlated (correlation coefficient of -0.08). keywords: deaths; overdose cache: ojphi-5763.pdf plain text: ojphi-5763.txt item: #527 of 1513 id: ojphi-5764 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 519 flesch: 32 summary: Subsequently, the 1-year cumulative malaria case rate (the total number of cases during one year) was calculated for each catchment area, with at-risk populations estimate from catchment areas determined using the cumulative case ratio, the straight-line distance, and the road network distance. Our approach is simple, reproducible, and is based on a statistical measure to decide which administrative units should be included in catchment areas. keywords: case; catchment cache: ojphi-5764.pdf plain text: ojphi-5764.txt item: #528 of 1513 id: ojphi-5765 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 769 flesch: 29 summary: Conclusions This research helps establish that 1) potential users of information systems have diverse workflow needs and data requirements that should be considered in system design; 2) gaps exist between the current capacity of health programs and the functions of information tools; 3) greater levels of standardization of public health data are needed within and between jurisdictions; and 4) coordinated development of data standards, infectious disease protocols, and information tools (including user interfaces and visualizations) is needed. We set out to identify public health information needs, the types of data required to meet these needs, and the potential alignment with visualizations of this data. keywords: data; disease; information cache: ojphi-5765.pdf plain text: ojphi-5765.txt item: #529 of 1513 id: ojphi-5766 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 754 flesch: 47 summary: Life skills are behaviors that enable individuals to adapt to and deal effectively with the demands and challenges of life. Limited studies have been done on assessing life skills of adolescents in schools. keywords: education; life; skills cache: ojphi-5766.pdf plain text: ojphi-5766.txt item: #530 of 1513 id: ojphi-5767 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-19 words: 783 flesch: 17 summary: ISDS 2014 Conference Abstracts Application of an Innovative Data Analytical Approach to Assessing the Disease Situation during Crises in Somalia, Yemen and Pakistan Kamran Ahmed*, Antony Ajanga, Omer A. Saleh, Mohammad D. Altaf and Ghulam R. Popal World Health Organization EMRO, Nairobi, Kenya Objective To assess the epidemic and outbreak situations during emergencies through development and application of a data summarization techniques while launching electronic disease early warning systems (eDEWS) in resource poor countries Introduction Infectious disease outbreaks during crises can be controlled by detecting epidemics at their earliest possible stages through cost effective and time efficient data analytical approaches. Conclusions Our results indicate that DST is a very useful analytical approach to monitor health situation without any delay during humanitarian crises where poor capacity and issues with access and resources always cause delays in implementation of launching of electronic tools for disease early warning system. keywords: crises; data; disease cache: ojphi-5767.pdf plain text: ojphi-5767.txt item: #531 of 1513 id: ojphi-5768 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 684 flesch: 45 summary: Alerta (2002-11) and Vigila (2011-present) are sequentially implemented electronic disease surveillance systems created by the Peruvian Navy to improve the detection, prevention, and control of disease outbreaks. Conclusions Real time analysis of syndromic surveillance systems such as Alerta and Vigila has the potential to promote rapid outbreak response by detecting emerging disease threats and morbidity trends in resource- limited settings. keywords: add; disease; peru; surveillance cache: ojphi-5768.pdf plain text: ojphi-5768.txt item: #532 of 1513 id: ojphi-5769 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 786 flesch: 42 summary: Keywords Zoonotic disease; Health Surveillance; Low-ressource; Kenya Acknowledgments Medical Research Council, Natural Environment Research Council, Economic and Social Research Council, Biotechnology and Biosciences Research Council for funds received through the Environmental & Social Ecology of Human Infectious Diseases Initiative (ESEI), Grant G1100783/1. The study investigates the emergence and introduction of zoonoses in urban areas Introduction About 60% of Nairobi residents live in slums with higher poverty, population density prevalence diseases and lower health access than the city average. keywords: health; research; study; surveillance cache: ojphi-5769.pdf plain text: ojphi-5769.txt item: #533 of 1513 id: ojphi-5770 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 714 flesch: 58 summary: ISDS 2014 Conference Abstracts Adjustment for Baseline Level of Dengue Cases Due to Increased Testing in Singapore Li Wei Ang*, Cindy Thiow Koon Lim, Stefan Ma, Joanne Tay and Jeffery Cutter MInistry of Health, Singapore Objective To make adjustment of historical trends to accurately reflect the baseline level of dengue cases in Singapore, in view of increased testing for dengue in 2013. The mean weekly number of dengue cases over a five-year period provides an indication of the baseline level. keywords: cases; dengue cache: ojphi-5770.pdf plain text: ojphi-5770.txt item: #534 of 1513 id: ojphi-5771 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 543 flesch: 35 summary: To evaluate the newly added temperature information, analyses were conducted on those observations that included body temperature, chief complaint, and diagnosis information. A total of 24,402 observations from a five month period were categorized into groups by patient body temperature, those with fever classified chief complaints (n=1441) that included the terms “fever” or “febrile”, or patients with a similarly defined fever classified diagnosis (n=970) and/or corresponding ICD9 code. keywords: body; fever cache: ojphi-5771.pdf plain text: ojphi-5771.txt item: #535 of 1513 id: ojphi-5772 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 789 flesch: 45 summary: Moreover, the data was compared with national cause of death data provided by the CDC1. ISDS 2014 Conference Abstracts Application of Syndromic Surveillance to Describe Gunshot-related Injuries in Houston Ryan M. Arnold*, Wesley McNeely, Kasimu Muhetaer, Biru Yang and Raouf R. Arafat Houston Department of Health and Human Services, Office of Surveillance and Public Health Preparedness, Houston, TX, USA Objective To introduce a model to track gunshot-related injuries, describe gun-related injuries in Houston, and investigate the association between gun-related injuries and social determinants of health using syndromic surveillance data. keywords: data; health; houston cache: ojphi-5772.pdf plain text: ojphi-5772.txt item: #536 of 1513 id: ojphi-5773 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 745 flesch: 43 summary: In early September 2014, during this sustained yearly increase in respiratory visits, reports of more severe infection caused by Enterovirus D68 (EV-D68) in children in other parts of the country began circulating. Severe Respiratory Illness Associated with Enterovirus D68 – Missouri and Illinois, 2014. keywords: d68; data; illness cache: ojphi-5773.pdf plain text: ojphi-5773.txt item: #537 of 1513 id: ojphi-5774 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 706 flesch: 41 summary: PHO’s current role in ID surveillance in Ontario is to support the public health and health care systems with surveillance information, tools, and resources for the prevention and control of IDs. The overarching aim of the framework is to establish PHO’s key priorities, strategies, and actions to guide ID surveillance over the next five years and will help advance ID surveillance across Ontario. keywords: framework; health; surveillance cache: ojphi-5774.pdf plain text: ojphi-5774.txt item: #538 of 1513 id: ojphi-5775 author: scholcommuser title: ojphi-07-e109.pdf date: 2015-02-20 words: 515 flesch: 40 summary: The active surveillance data are infectious disease data collected by Tarrant County. The tools to assess disease distribution are readily available; it is the structure of syndromic data that is limiting widespread adoption of existing software. keywords: data; surveillance cache: ojphi-5775.pdf plain text: ojphi-5775.txt item: #539 of 1513 id: ojphi-5776 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 781 flesch: 42 summary: Matches that had already been investigated as possible congenital syphilis cases were removed. In Louisiana, case investigations for infants perinatally exposed to syphilis are initiated through two primary methods: SHP may receive a positive syphilis test on an infant or a syphilis-infected woman may be contacted and identified by Partner Services during pregnancy. keywords: match; syphilis cache: ojphi-5776.pdf plain text: ojphi-5776.txt item: #540 of 1513 id: ojphi-5777 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 800 flesch: 43 summary: In the first year of emergence, PEDV reporting was voluntary, but on June 5, 2014, the Secretary of Agriculture issued a Federal Order that all cases of swine enteric coronavirus diseases (SECDs), including PEDV, were required to be reported to the USDA APHIS. As PEDV continued to spread within and between U.S. states, the event was elevated to the level of a biosurveillance event report (BER), which was first written on January 24, 2014. keywords: emergence; pedv; states cache: ojphi-5777.pdf plain text: ojphi-5777.txt item: #541 of 1513 id: ojphi-5778 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-03-10 words: 734 flesch: 39 summary: A subsequent manual search of death certificate records was conducted to identify persons with an underlying or contributing cause of death attributed to chronic HCV infection (ICD-10 code B182). ISDS 2014 Conference Abstracts Evaluating Ascertainment of Hepatitis C Cases and Deaths by Electronically Linking Surveillance and Vital Statistics Data in Utah Anne Burke*, Jeffrey Eason, David Jackson and Allyn K. Nakashima Bureau of Epidemiology, Utah Department of Health, Salt Lake City, UT, USA Objective To evaluate the ascertainment of deaths among hepatitis C virus (HCV)-infected persons reported to public health and to identify additional HCV cases not reported to public health in Utah through review of death certificate data. keywords: hcv; utah cache: ojphi-5778.pdf plain text: ojphi-5778.txt item: #542 of 1513 id: ojphi-5779 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 710 flesch: 35 summary: ISDS 2014 Conference Abstracts Detecting Outbreaks in Time-Series Data with RecentMax Dave Carter* and Joel D. Martin National Research Council Canada, Ottawa, ON, Canada Objective To develop an algorithm for detecting outbreaks of typical transmissible diseases in time series data that offers better sensitivity and specificity than the CDC EARS C1/C2/C3 algorithms while offering much better noise handling performance. We analyzed several flu outbreaks observed in our data, including the H1N1 outbreaks in 2009, and noted that, using the C1 algorithm, even with our adjustable alerting thresholds, there was an uncomfortable number of false alarms in the noisy steady-state data, when the number of reported cases of flu-like symptoms was less than five per day. keywords: data; recentmax cache: ojphi-5779.pdf plain text: ojphi-5779.txt item: #543 of 1513 id: ojphi-5780 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 728 flesch: 54 summary: ISDS 2014 Conference Abstracts Determinants of Daily Attendances in Emergency Departments for Asthma in the Paris Area Céline Caserio-Schönemann, Alice Sanna, Vanina Bousquet, Sylvia Medina, Mathilde Pascal, Marie-Christine Delmas and Anne Fouillet* French Institute for Public Health Surveillance, Saint Maurice, France Objective Description of the temporal pattern of the daily number of attendances in emergency departments (ED) for asthma in Paris area and identification of the main factors influencing this indicator. The part of asthma attendances is higher for children under 15 years old than in adults (2.14% versus 0.59%). keywords: asthma; attendances; emergency cache: ojphi-5780.pdf plain text: ojphi-5780.txt item: #544 of 1513 id: ojphi-5781 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 819 flesch: 48 summary: Methods HFMD surveillance data are collected online from the National Institute of Infectious Diseases in Japan, Taiwan CDC and Ministry of Health in Singapore. In this study, we tried to apply publicly available weekly surveillance data in Japan, Taiwan and Singapore to evaluate the spatio-temporal evolution of HFMD epidemics and how the weather conditions affect the HFMD epidemics. keywords: disease; hfmd; surveillance; taiwan cache: ojphi-5781.pdf plain text: ojphi-5781.txt item: #545 of 1513 id: ojphi-5782 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 803 flesch: 54 summary: There were significant annual differences in types of UI visits (p<0.0001) and in types of medicinal UI visits (p=0.01). The proportion of children <5 years with UI visits increased with increasing neighborhood poverty level (p<0.001). keywords: children; uis; years cache: ojphi-5782.pdf plain text: ojphi-5782.txt item: #546 of 1513 id: ojphi-5783 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 785 flesch: 35 summary: For example, our analysis indicates that e-cigarette users have a tendency to focus on e-cigarette equipment (vaporizers, liquid types, etc.) Further, our analysis of VaporTalk Health & Safety forum, and the Reddit stopsmoking subreddit indicates key differences in symptom reporting between the two forums, with Vapor|Talk concentrating overwhelmingly on physical symptoms associated with e-cigarette use (e.g. headache, coughing), and the Reddit stopsmoking forum more focused on psychological symptoms (e.g. craving, anxiety). keywords: health; hookah; text cache: ojphi-5783.pdf plain text: ojphi-5783.txt item: #547 of 1513 id: ojphi-5784 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 710 flesch: 39 summary: Figure1 shows the procedure of data validation. A summary report of this comparison is generated by SAS ODS, which includes total number of facilities feeding data, the list of problematic facilities not reporting data, and unmatched visit counts by facility and date between EpiCenter and BioSense 2.0. keywords: biosense; data cache: ojphi-5784.pdf plain text: ojphi-5784.txt item: #548 of 1513 id: ojphi-5785 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-20 words: 705 flesch: 51 summary: These data can be used to estimate the risk of CO-EDs and provide useful information for public health situational awareness and emergency response management during disaster events. Overall, the number of CO-EDs increased during the hurricane period. keywords: eds; power cache: ojphi-5785.pdf plain text: ojphi-5785.txt item: #549 of 1513 id: ojphi-5786 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-21 words: 699 flesch: 29 summary: In collaboration with New York City Department of Health and Mental Hygiene (NYCDOHMH) and New York State Department of Health (NYSDOH), a group of specific mental health concerns including anxiety/adjustment, mood, psychotic disorders, suicide/self-inflicted injury, alcohol, and methadone/opiate/heroin use are evaluated. ISDS 2014 Conference Abstracts Development of Mental Health Classification Related to Severe Weather Events Alvin F. Chu*1, Stella Tsai1, Teresa Hamby1, Elizabeth Kostial2 and Jerald Fagliano1 1Communicable Disease Service, New Jersey Department of Health, Trenton, NJ, USA; 2Health Monitoring System, Pittsburgh, PA, USA Objective To describe the development and validation of a mental health classification to track emergency department visits for potential needed public health response during severe weather events. keywords: health; new; ppv cache: ojphi-5786.pdf plain text: ojphi-5786.txt item: #550 of 1513 id: ojphi-5787 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-22 words: 697 flesch: 36 summary: Pearson correlation coefficients were calculated to compare ILINet and ESSENCE data for each influenza season and provider location, both for the entirety of the season as well as identified peak weeks (Table 1); for the few instances where ILINet data had not been reported, those weeks were not included in the calculations. This study demonstrates a need to identify the sources of differences that occur between making and reporting a determination of ILI versus those involved in a discharge diagnosis of influenza Table 1 Table 2 Table 3 Keywords ESSENCE; ILINet; Influenza surveillance; Influenza-like illness surveillance; Influenza Acknowledgments We wish to thank the epidemiology staff of the Florida Department of Health in Seminole County, their counterparts at the Florida Department of Health in Orange County, and the staff at the Bureau of Epidemiology for the Florida Department of Health in Tallahassee, in particular David Atrubin for ESSENCE assistance, and Colin Malone for his comments regarding statewide influenza surveillance. keywords: ilinet; influenza; surveillance cache: ojphi-5787.pdf plain text: ojphi-5787.txt item: #551 of 1513 id: ojphi-5788 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-22 words: 801 flesch: 42 summary: Over the past few years, different methods have been proposed to extend Poisson CUSUM charts to capture the spatial association among several regions simultaneously. Poisson CUSUM is a control chart-based method that has been widely used to detect aberrations in disease counts in a single region collected over fixed time intervals. keywords: control; cusum; poisson cache: ojphi-5788.pdf plain text: ojphi-5788.txt item: #552 of 1513 id: ojphi-5789 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-22 words: 742 flesch: 26 summary: ISDS 2014 Conference Abstracts Standardising Syndromic Classification in Animal Health Data Fernanda C. Dórea*1, Céline Dupuy2, Flavie Vial3, Crawford Revie4 and Ann Lindberg1 1Department of Epidemiology and Disease Control, National Veterinary Institute, Uppsala, Sweden; 2French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Lyon, France; 3Veterinary Public Health Institute, Bern, Switzerland; 4Centre for Veterinary Epidemiological Research, Charlottetown, PE, Canada Objective To develop an ontology for the classification of animal health data into syndromes with application to syndromic surveillance. Conclusions SSynCAHD proposes to harmonise syndromic surveillance data use rather than data recording. keywords: animal; data; health cache: ojphi-5789.pdf plain text: ojphi-5789.txt item: #553 of 1513 id: ojphi-5790 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-22 words: 753 flesch: 54 summary: As we can see, primary cluster variants generated by GDScan are better situated in the graph than those generated by FSScan. ISDS 2014 Conference Abstracts Dry Climate as a Predictor of Chagas’ Disease Irregular Clusters: A Covariate Study Luiz H. Duczmal*1, Gladston J. Moreira2, Luís Paquete3, David Menotti2, Ricardo Takahashi1 and Denise Burgarelli1 1Statistics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; 2Universidade Federal de Ouro Preto, Ouro Preto, Brazil; 3Universidade de Coimbra, Coimbra, Portugal Objective We employ climate information to assess the possible spatial dependence on the occurrence of Chagas’ disease irregular clusters in Central Brazil, using a variant of the Spatial Scan Statistic [1], the Geo-Dynamic Scan (GDScan) keywords: cluster; gdscan; scan cache: ojphi-5790.pdf plain text: ojphi-5790.txt item: #554 of 1513 id: ojphi-5791 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-22 words: 647 flesch: 36 summary: Conclusions The use of whole carcass condemnation data for syndromic surveillance is more complex than monitoring counts because we need to take into account the denominator (number of cattle slaughtered) as well as age and sex. Age and sex were taken into account because of their known effect on whole carcass condemnation [2]. keywords: carcass; data; outbreak cache: ojphi-5791.pdf plain text: ojphi-5791.txt item: #555 of 1513 id: ojphi-5792 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 711 flesch: 35 summary: Syndromic surveillance plays a part in this plan: emergency department cold weather indicators have been developed and are used each winter to assess the impact of cold weather on public health.4 Air pollution During March/April 2014 an air pollution event affected large parts of the UK; syndromic surveillance was used to assess the public health impact. (figure).2 In addition to the direct impact of heat, syndromic surveillance systems detected a spike in ED asthma attendances during a series of thunderstorms that followed the heatwave.3 Cold weather surveillance A cold weather plan for England was launched in 2011 with the aim of reducing preventable mortality and morbidity due to severe cold weather. keywords: health; public; surveillance cache: ojphi-5792.pdf plain text: ojphi-5792.txt item: #556 of 1513 id: ojphi-5793 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 799 flesch: 27 summary: In order to transition the forecasting, estimation and management of epidemic risks to individual administrative areas, the Agency for Consumer Rights Protection of Kazakhstan has developed a concept for modernizing the existing national system of the epidemiological surveillance (SES). The RSEP is planned as a new working tool for epidemiologists to aid in making objective estimates, forecasting epidemic risks in particular areas of Kazakhstan, and taking preventive steps to lower epidemic risks. keywords: epidemic; kazakhstan; methodology cache: ojphi-5793.pdf plain text: ojphi-5793.txt item: #557 of 1513 id: ojphi-5794 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 778 flesch: 43 summary: The hypothesis was that these data may be used to inform interventions during a pandemic, guide school health programs, elucidate health priorities in school-age populations, and quantify nursing staff needs in schools. An electronic module was developed in the State Electronic Notifiable Disease Surveillance System (SendSS) to facilitate data entry by participating school nurses and data management by the Georgia Department of Public Health. keywords: health; school; visits cache: ojphi-5794.pdf plain text: ojphi-5794.txt item: #558 of 1513 id: ojphi-5795 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 819 flesch: 41 summary: KID data are nationally representative, while MAX data represent the entire population of Medicaid enrollees. MAX data are structured similarly to the CCAE. keywords: codes; data; diagnosis cache: ojphi-5795.pdf plain text: ojphi-5795.txt item: #559 of 1513 id: ojphi-5796 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 620 flesch: 38 summary: ISDS 2014 Conference Abstracts Development and Piloting of Ascariasis Surveillance System of Children in Sri Lanka Lahiru S. Galgamuwa*1, Devika Iddawela1 and Samath D. Dharmaratne2 1Department of Parasitology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka; 2Department of Community Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka Objective Designing, developing and Piloting an Ascariasis surveillance system of children to determine factors associated with their variations in Sri Lanka. In Sri Lanka, although ascariasis was the commonest intestinal parasitic infection among children, information about associated factors and current health impact is insufficient. keywords: ascariasis; lanka; sri cache: ojphi-5796.pdf plain text: ojphi-5796.txt item: #560 of 1513 id: ojphi-5797 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 409 flesch: 30 summary: The developed protocol allowed to detect ASFV DNA by 276 bp fragment, Aujeszky disease virus and PCV-2 – 230 and 421 bp, respectively. The objective was to develope the multiplex PCR for detection of the DNA-contained emergent diseases agents in pigs (African swine fever, Aujeszky disease, Circoviral disease) for diseases surveilance in pig farms Introduction African swine fever virus (ASFV), pseudorabies virus (Aujrszky’s disease virus, ADV) and porcine circovirus type 2 (PCV-2) are some of the most dangerous DNA viruses causing high amounts of morbidity and mortality in commercial and backyard pig farms. keywords: disease; swine cache: ojphi-5797.pdf plain text: ojphi-5797.txt item: #561 of 1513 id: ojphi-5798 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 747 flesch: 43 summary: CPA can select the most productive combination of text processing methods to apply that best match the user-supplied yes/no labels. Importantly, the type of text processing to apply is varied based on the particular keywords used in the search. keywords: data; text; user cache: ojphi-5798.pdf plain text: ojphi-5798.txt item: #562 of 1513 id: ojphi-5799 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 623 flesch: 30 summary: Both applications displayed the same number of VA ILI cases. In addition, a validation set of combined VA and Department of Defense (DoD) biosurveillance data comprising 17 million DoD and 25 million VA records respectively, was used to assess the performance of Praedico™ using ICD-9 encounter codes from known influenza-like illness (ILI) outpatient visits previously analyzed using ESSENCE alone1. keywords: data; praedico cache: ojphi-5799.pdf plain text: ojphi-5799.txt item: #563 of 1513 id: ojphi-5800 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 814 flesch: 41 summary: ISDS 2014 Conference Abstracts Using SAGES OpenESSENCE for Mass Gathering Events Damian Hoy2, Alize Mercier2, Paul White2, Salanieta T. Saketa2, Adam Roth2, Yvan Souares2, Christelle Lepers2, Richard Wojcik*1, Aaron Katz1, Timothy Campbell1, Shraddha Patel1, Brian Feighner1 and Sheri Lewis1 1JHU/APL, Laurel, MD, USA; 2SPC Int, Suva, Fiji Objective Present how a surveillance tool such as SAGES was used for disease surveillance for mass gathering activities. Results The SAGES OE tool was used for disease surveillance in two different mass gathering events. keywords: data; mass; sages; surveillance cache: ojphi-5800.pdf plain text: ojphi-5800.txt item: #564 of 1513 id: ojphi-5801 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 794 flesch: 46 summary: Conclusions The result demonstrated the feasibility and potential benefit of employing electronic school absenteeism data as captured automatically by a smart card system as an alternative data stream for monitoring influenza activities, and flexibility in establishing surveillance for emerging diseases. The increasing popularity of usage of smart card technology in various community settings might also represent potentially timely and cost-effective opportunities for innovative surveillance systems. keywords: data; schools; system cache: ojphi-5801.pdf plain text: ojphi-5801.txt item: #565 of 1513 id: ojphi-5802 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 668 flesch: 42 summary: NC DETECT data are near real time and over 75% of ED visits receive at least one ICD-9-CM final diagnosis code within two weeks of the initial record receipt. Case definitions from the Centers for Disease Control and Prevention, the Substance Abuse and Mental Health Services Administration, and the Safe States Injury Surveillance Workgroup were reviewed. keywords: health; overdose cache: ojphi-5802.pdf plain text: ojphi-5802.txt item: #566 of 1513 id: ojphi-5803 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 589 flesch: 51 summary: Independent predictors of pre-ART mortality were: WHO stage 3 (AHR=2.37; 95% CI 1.94-2.90), WHO Stage 4 (AHR=4.53; 95% CI 3.64-5.64), female sex (AHR=0.62; 95% CI 0.56 -0.70), CD4 count 200 (AHR=0.17; 95% CI 0.15-0.20) and weighing more than 45kg at CTC enrolment (AHR=0.53; 95% CI 0.46-0.62) was significantly associated with a lower hazard of death. The data was used to analyze mortality and its determinants in pre-ART phase, TB events and CD4 testing. keywords: art; mortality; pre cache: ojphi-5803.pdf plain text: ojphi-5803.txt item: #567 of 1513 id: ojphi-5804 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 708 flesch: 48 summary: Vacant 1% Analysis of root causes for undeliverable addresses yielded a framework of address information flow (fig. 1). Further, we were able to geo-locate 31% of undeliverable addresses labelled as “No such number” by USPS which we classified as postal error (5%). keywords: address; communicable; mail cache: ojphi-5804.pdf plain text: ojphi-5804.txt item: #568 of 1513 id: ojphi-5805 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 704 flesch: 47 summary: Urbana schools recruit from specific geographic areas (neighborhoods) designated by the school district whereas Champaign schools are non-selective in their composition where students residing in Champaign can attend any school within the city. Results In early October, both school districts showed an increase in overall absences with Urbana schools showing a quicker and more substantial increase in the beginning of the month then leveling off with a slight increase in later October. keywords: champaign; school; urbana cache: ojphi-5805.pdf plain text: ojphi-5805.txt item: #569 of 1513 id: ojphi-5806 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 799 flesch: 50 summary: Yet gaining insight and understanding from social media data can be problematic. Social media has only fueled this expectation as it has permeated all aspects of our lives. keywords: health; media; public cache: ojphi-5806.pdf plain text: ojphi-5806.txt item: #570 of 1513 id: ojphi-5807 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 697 flesch: 39 summary: With the greater adoption of electronic health records (EHR), it might be possible to further enhance disease surveillance through more timely provider-based reporting which could also reduce the volume of missing data from provider reports like those observed with electronic lab reporting (2). According to Indiana state law, chlamydia reports are required to be sent to public health within 3 days after a positive test result confirmation (3). keywords: health; provider; reports cache: ojphi-5807.pdf plain text: ojphi-5807.txt item: #571 of 1513 id: ojphi-5808 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 839 flesch: 55 summary: Registration and follow-up of cancer cases to estimate survival are useful tools in cancer control programmes. Challenges to Community-based Surveillance Dennis O. Laryea*1, 2, Baffour Awuah1, 2, Yaw A. Amoako1, 2, Samuel Mensah1 and Fred K. Awittor2 1Public Health, Komfo Anokye Teaching Hospital, Kumasi, Ghana; 2Kumasi Cancer Registry, Kumasi, Ghana Objective To identify challenges to community-based surveillance and follow up of breast cancer cases in Ghana Introduction Cancers are among the leading causes of deaths globally. keywords: cancer; cases; follow; ghana cache: ojphi-5808.pdf plain text: ojphi-5808.txt item: #572 of 1513 id: ojphi-5809 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 719 flesch: 35 summary: Results Estimated age and sex distributions, epidemic curves, geographical spread, onset-to-hospitalization and onset-to-death distributions from line lists using public information were similar to those estimated from the official line list, at different time points over the course of the H7N9 epidemic. ISDS 2014 Conference Abstracts Epidemiological inferences using public information, influenza H7N9 epidemic in China Eric H.Y. Lau*1, Jiandong Zheng2, Tim K. Tsang1, Qiaohong Liao2, Bryan Lewis3, John S. Brownstein4, 5, Sharon Sanders6, Sumiko R. Mekaru4, Caitlin Rivers3, Gabriel M. Leung1, Luzhao Feng2, Benjamin J. Cowling1 and Hongjie keywords: information; line; lists cache: ojphi-5809.pdf plain text: ojphi-5809.txt item: #573 of 1513 id: ojphi-5810 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 591 flesch: 30 summary: Results Results of the pooled data from pre and post course evaluations were compared using a T-test for equality of means. The goal of course was to give epidemiologist skills and practice to more quickly and efficiently conduct an investigation, allow rapid identification of a cause, apply control measures, and limit economic and health impacts of a disease. keywords: course; disease; outbreak cache: ojphi-5810.pdf plain text: ojphi-5810.txt item: #574 of 1513 id: ojphi-5811 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 707 flesch: 36 summary: The project promotes community health condition by developing personal skills, house hold waste managements, environmental management for control of dengue hemorrhagic fever, workshop for income generating, as well as empowerment of health cadre, health expert, facility and funding, all aimed at strengthening community action to develop health service model. This project proved that behind the concept of social capital lies the idea of a well-balanced social system, which favors mutual collaboration between social agencies and sectors for the sake of the sustainability of this system itself. keywords: community; dengue; health cache: ojphi-5811.pdf plain text: ojphi-5811.txt item: #575 of 1513 id: ojphi-5812 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 511 flesch: 27 summary: They had high knowledge on animal compared to human diseases. ISDS 2014 Conference Abstracts Anthropology and Ecohealth Research in Control of Diseases for Pastorals in Tanzania Peter E. Mangesho*1, 2, Esron Karimuribo1, 3, James E. Mlangwa3, Leonard E. Mboera4, Jonathan Rushton5, Richard Kock5, Angwara Kiwara6 and Mark Rweyemamu1 1Department of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro,, Southern African Center for Disease Infectious Surveillance, Morogoro, United Republic of Tanzania; 2National Institute for Medical Research- Amani Medical Research Center, Muheza, United Republic of Tanzania; 3Department of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania, Morogoro, United Republic of Tanzania; 4National Institute for Medical Research, Dar es Salaam, United Republic of Tanzania; 5Royal Veterinary College, University of London, London, United Kingdom; 6Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania Objective To collect and assess indigenous knowledge and practices to manage diseases of food security as well as create opportunities to disseminate results for improving self-help. keywords: health; tanzania cache: ojphi-5812.pdf plain text: ojphi-5812.txt item: #576 of 1513 id: ojphi-5813 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 644 flesch: 53 summary: Our approach to detecting health related events is: filter -> classify -> detect. We consider three types of health events that an analyst may wish to be made aware of: - Given a known disease, such as MERS, SARS, Measles, etc., an event corresponds to individuals contracting the disease. keywords: disease; health cache: ojphi-5813.pdf plain text: ojphi-5813.txt item: #577 of 1513 id: ojphi-5814 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-23 words: 671 flesch: 41 summary: Public Health 2013;127:777-81. 3. Morbey RA, Elliot AJ, Charlett A, et al. Development and refinement of new statistical methods for enhanced syndromic surveillance during the 2012 Olympic and Paralympic Games. New syndromic surveillance data sources have been incorporated into RAMMIE with a minimum of extra development work. keywords: method; surveillance cache: ojphi-5814.pdf plain text: ojphi-5814.txt item: #578 of 1513 id: ojphi-5815 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 736 flesch: 46 summary: ISDS 2014 Conference Abstracts Public Health Surveillance: Challenges and Solutions for the Road Ahead Lipika Nanda1, 2 and Sandeep Mahapatra*1 1Indian Institute of Public Health Bhubaneswar (IIPHB), Bhubaneswar, India; 2Public Health Foundation of India (PHFI), Delhi, India Objective Aim To setup a nodal agency called the Centre for Public Health Preparedness (CPHP) dedicated towards public health surveillance during disasters in the state of Odisha, India. To strengthen public health surveillance and preparedness for disaster management, through research, capacity building and action. keywords: health; india; public cache: ojphi-5815.pdf plain text: ojphi-5815.txt item: #579 of 1513 id: ojphi-5816 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 746 flesch: 51 summary: ISDS 2014 Conference Abstracts Cholera Public Health Surveillance System in Cameroon Moise C. Ngwa*1, Song Liang1, Leonard Mbam2, Mouhaman Arabi3, Andrew Teboh4, Kaousseri Brekmo5, Onana Mevoula6 and John Glenn Morris1 1Emerging Pathogens Institute, Gainesville, FL, USA; 2WHO Country Office, Yaoundé, Cameroon; 3HIS, University of Maroua, Maroua, Cameroon; 4FMBS, U of Yaoundé I, Yaoundé, Cameroon; 5RDPH, Far North, Maroua, Cameroon; 6WHO Country Office, Far North, Maroua, Cameroon Objective To describe cholera public health surveillance systems in Cameroon within its hierarchical health system Introduction Effective infectious disease public health surveillance systems are often lacking in resource poor settings. Conclusions The surveillance system is passive with neither data analysis nor rapid response at health district level. keywords: cameroon; health; surveillance cache: ojphi-5816.pdf plain text: ojphi-5816.txt item: #580 of 1513 id: ojphi-5817 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 818 flesch: 45 summary: The percent of cases created from CD investigations increased from 69.8% in 2012 to 76% in Jan-May 2014. The majority of CD investigations were dismissed (>50%) because they did not meet case definition. keywords: cdess; diseases; eclrs cache: ojphi-5817.pdf plain text: ojphi-5817.txt item: #581 of 1513 id: ojphi-5818 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 651 flesch: 18 summary: We observe that while there is significant variety among surveillance systems, many may still report duplicative data sources, use basic forms of analysis, and provide rudimentary functionality. Our topic modeling confirmed our understanding that the majority of surveillance systems are still basic - web-based portals, general analytics, basic visualizations, some descriptive statistics. keywords: data; surveillance; systems cache: ojphi-5818.pdf plain text: ojphi-5818.txt item: #582 of 1513 id: ojphi-5819 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 741 flesch: 45 summary: ISDS 2014 Conference Abstracts Public Health and Mass Gathering Events: Assessing Need for Surveillance in Wales, UK Priyanka Parmar1 and Daniel RH Thomas*2 1Immunisation Technical Support Unit, Public Health Foundation of India, Gurgaon, India; 2Public Health Wales, UK Objective To identify the need of surveillance during mass gathering events in Wales by identifying a causal relationship between public health and characteristics of a mass gathering event grounded on risk assessment. Currently, there are no existing programmes of surveillance for mass gathering events in Wales. keywords: events; mass cache: ojphi-5819.pdf plain text: ojphi-5819.txt item: #583 of 1513 id: ojphi-5820 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 697 flesch: 45 summary: ISDS 2014 Conference Abstracts Spatial Distribution of Adolescents with Sexually Transmitted Infections Diagnosed in the Pediatric Emergency Departments of Washington, DC Shilpa Patel*1, Lisa Tuchman2, Katie Hayes3, Gia Badolato1, Stephen J. Teach1 and Monika K. Goyal1 1Division of Emergency Medicine, Children’s National Medical Center, Washington DC, DC, USA; 2Division of Adolescent Medicine, Children’s National Medical Center, Washington DC, DC, USA; 3Division of Emergency Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA Objective (1) To describe the spatial distribution of adolescents with ED- diagnosed STIs in a large urban area with a high prevalence of STI (2) To compare census block groups and identify “hot spots” of STI. Introduction Utilization of local surveillance data has been shown to help risk stratify patients presenting to the emergency department presenting with GAS pharyngitis or meningitis. keywords: emergency; sti cache: ojphi-5820.pdf plain text: ojphi-5820.txt item: #584 of 1513 id: ojphi-5821 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 789 flesch: 34 summary: We created the following derived variables in percentages: • ILI within a zip code = ILI positive ED visits within zip code/total ED visits within zip code • Proportion of zip code ILI with regional ILI = ILI positive ED visits within zip code/ total ILI positive ED visits within the AMC region • Zip code representation = total ED visits within zip code/total ED visits within the AMC region These three variables provide information on the relative importance of the ILI rate within a zip code compared to the overall ILI rate within the AMC region. Green represents within normal limits and requires 10% of total ED visits within the AMC region are in the zip code AND ILI rate is below 10% within the zip code • Yellow represents more than 2 standard deviations above the mean and requires 10% of total ED visits within the AMC region are in the zip code AND ILI rate is between 10% and 12.5% within the zip code • Orange represents more than 20% of all positive ILI cases come from that zip code within the AMC region • Red represents more than 3 standard deviations above the mean and requires 10% of total ED visits within the AMC region are in the zip code AND ILI rate is above 12.5% within the zip code The thresholds utilized in the rules were either generated through historical statistical analysis or based on the need for an adequate sample size. keywords: code; ili; zip cache: ojphi-5821.pdf plain text: ojphi-5821.txt item: #585 of 1513 id: ojphi-5822 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 691 flesch: 39 summary: We identified the main signs and symptoms contributing to the identification of Ebola cases and conducted statistical performance metrics. A probability of 90% was utilized to designate positive Ebola cases. keywords: cases; definition; ebola cache: ojphi-5822.pdf plain text: ojphi-5822.txt item: #586 of 1513 id: ojphi-5823 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 766 flesch: 34 summary: This paper presents our approach on design and development of an integrated semantic platform to capture the domain knowledge on vaccine sentiments, beliefs, and behaviours using ontologies. The vaccine sentiment ontology (VASON) provides more structure around the vast amount of unstructured data scattered over blog posts to facilitate blog content analysis, and discovering patterns of words or phrases in blogs text (e.g. specifying topics, themes, sentiment, beliefs and so on). keywords: analysis; health; sentiment; vaccine cache: ojphi-5823.pdf plain text: ojphi-5823.txt item: #587 of 1513 id: ojphi-5824 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-24 words: 595 flesch: 37 summary: ISDS 2014 Conference Abstracts Computational Method for Epidemic Detection in Multiple populations Ekaterina Shatskikh* and Michael Ludkovski Statistics, UC Santa Barbara, Goleta, CA, USA Objective Detect epidemics over multiple Populations using computational methods Introduction Currently Centers for Disease Control and Prevention (CDC) employ threshold rules to declare epidemic outbreaks, such as influenza, separately in each population. Therefore there is a need for an algorithm to declare the epidemic that uses information from multiple populations. keywords: epidemic; population cache: ojphi-5824.pdf plain text: ojphi-5824.txt item: #588 of 1513 id: ojphi-5827 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 662 flesch: 44 summary: In a project on integrated syndromic surveillance system (ISSC) in rural China(1), Random effect zero-inflated Poisson (RE-ZIP) model was applied to simultaneously quantify the spatial heterogeneity for “occurrence” and “intensity” on school absenteeism data. Conclusions In infectious disease surveillance, the key questions are “whether an outbreak will happen” or/and “how large the epidemic will be”, which could be answered through observing and monitoring the spatial pattern of health related school absenteeism. keywords: absenteeism; heterogeneity; school cache: ojphi-5827.pdf plain text: ojphi-5827.txt item: #589 of 1513 id: ojphi-5828 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 640 flesch: 30 summary: During 2011, foodborne disease surveillance and follow-up activities were migrated to Maven, Connecticut’s Electronic Disease Surveillance System (CEDSS)3. Conclusions The use of a centralized electronic disease surveillance system has improved foodborne disease surveillance and outbreak detection by streamlining data management needs and improving communication and data sharing among key stakeholders. keywords: disease; foodborne; surveillance cache: ojphi-5828.pdf plain text: ojphi-5828.txt item: #590 of 1513 id: ojphi-5829 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 536 flesch: 37 summary: During the period of years 2005-2008 highly pathogenic avian influenza (HPAI) viruses subtype H5N1 were detected in wild birds in Ukraine. ISDS 2014 Conference Abstracts Monitoring Emergent Avian Influenza Viruses Subtypes H5 and H7 in Wild Birds in Ukraine Prof. Borys Stegniy1, Dr Denys Muzyka1, Dr Mary Pantin-Jackwood2, Dr Oleksandr Rula1, Anton Stegniy1, Anton Gerilovych*1, Dr Serhiy Vovk1 and Prof. Mykola Mandygra1 1NSC IECVM, Kharkiv, Ukraine; 2SEPRL, Athens, GA, USA Objective To carry out monitoring studies of circulation of the AIV subtypes H5 and H7 in wild waterfowl and shorebirds around the Azov-Black Sea in Ukraine Introduction To date, avian influenza virus (AIV) is an unpredictable pathogen affecting both animals, birds and people. keywords: influenza; viruses cache: ojphi-5829.pdf plain text: ojphi-5829.txt item: #591 of 1513 id: ojphi-5830 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 403 flesch: 28 summary: Furthermore, specific guidelines for performing the test have been developed Conclusions We have validated the PCR-based protocol for indication of Salmonella genus agents and identification of its basic agents S. Enteritidis, S. Typhimurium, S. Typhi, S. Dublin, S. Gallinarum- Pullorumon that recognized it to be sensitive, specific, and repeatable and able to be implemented in the laboratory practice for food safety control. Typhimurium, Salmonella ser. keywords: pcr; salmonella cache: ojphi-5830.pdf plain text: ojphi-5830.txt item: #592 of 1513 id: ojphi-5831 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 679 flesch: 37 summary: Journals with the highest frequency of surveillance articles included PLoS ONE (21.4% of articles in the repository), Influenza and Other Respiratory Viruses (6.1%), Vaccine (3.3%), and Preventive Veterinary Medicine (3.1%). The RC hosts a literature review process that results in a permanent repository1 of relevant journal articles; some of which are presented in bi-monthly calls/webinars that provide a forum for discussion and author engagement.2 keywords: articles; isds; surveillance cache: ojphi-5831.pdf plain text: ojphi-5831.txt item: #593 of 1513 id: ojphi-5832 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 557 flesch: 40 summary: Sending Monthly Summary Reports of Syndromic Data to ED Anthony W. Tam*, Amita Toprani and Robert Mathes New York City Department of Health and Mental Hygiene, Long Island City, NY, USA Objective To share monthly summary reports of syndromic data to participating EDs in NYC. During these interviews, ED directors expressed interest in receiving summary reports of the data they send to the syndromic unit, such as number of ED visits, most common complaints, and temporal and spatial trends. keywords: data cache: ojphi-5832.pdf plain text: ojphi-5832.txt item: #594 of 1513 id: ojphi-5833 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 567 flesch: 46 summary: This project will assess the timeliness and sensitivity of HealthMap based on outbreak posts from EpiCom, the Florida Department of Health’s disease outbreak and health incident alert network. HealthMap alert date was compared to EpiCom’s post date and the date the outbreak was reported to the county or state health department. keywords: epicom; healthmap cache: ojphi-5833.pdf plain text: ojphi-5833.txt item: #595 of 1513 id: ojphi-5834 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 818 flesch: 49 summary: In order to get insights to the epidemiology of flu we reviewed the first year of surveillance implementation monitoring data to improve procedures Methods Three hospitals in Maputo (four sentinel sites) were selected and trained for Flu surveillance. Individual perception, high turnover, motivation and commitment of the hospital staff, adequate staff (nurse/clinicians) and work overload influenced both approaches Conclusions Although flu surveillance is at very early stage, these findings corroborate with previous researches reporting the circulation of flu virus in Mozambique. keywords: flu; specimens; surveillance cache: ojphi-5834.pdf plain text: ojphi-5834.txt item: #596 of 1513 id: ojphi-5835 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 691 flesch: 40 summary: Lessons for Mass Gatherings Dan Todkill1, 2, Helen Hughes*1, Alex Elliot1, Roger Morbey1, Obaghe Edeghere1, Sally Harcourt1, Brian McCloskey2 and Gillian Smith1 1Public Health England, Birmingham, United Kingdom; 2Public Health England, London, United Kingdom Objective We assessed the impact of the London 2012 Olympic and Paralympic Games on syndromic surveillance systems including the incidence of syndromic indictors and total contacts with health care. These new systems complemented existing syndromic surveillance systems offering the opportunity to monitor trends in patient contacts with GPs outside of normal day time opening hours, as well as potentially the more severe end of the disease spectrum which would present at EDs. keywords: games; health; surveillance cache: ojphi-5835.pdf plain text: ojphi-5835.txt item: #597 of 1513 id: ojphi-5836 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 701 flesch: 42 summary: Prior to adopting this web-based application, an evaluation was conducted to assess how REDCap may facilitate outbreak data management. ISDS 2014 Conference Abstracts Evaluation of REDCap as a Tool for Outbreak Data Management, Illinois, 2013-2014 Jennifer Vahora* and M. Allison Arwady Office of Health Protection, Illinois Department of Public Health, Chicago, IL, USA Objective To evaluate the use of the Research Electronic Data Capture (REDCap) application to manage outbreak data at the local, state, and multi-jurisdictional level Introduction The Research Electronic Data Capture (REDCap) application has been used to build and manage online surveys and databases in academic research settings. keywords: data; outbreaks; redcap cache: ojphi-5836.pdf plain text: ojphi-5836.txt item: #598 of 1513 id: ojphi-5837 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 552 flesch: 47 summary: ISDS 2014 Conference Abstracts Statistical Monitoring of Condemnations from Slaughterhouses Flavie Vial*1, Sarah Thommen2 and Leonhard Held2 1Vetsuisse Faculty, Veterinary Public Health Institute, Bern, Switzerland; 2Institute of Social and Preventive Medicine, Zürich, Switzerland Objective We evaluate the performance of the improved Farrington algorithm for the detection of simulated outbreaks in meat inspection data. The improved Farrington algorithm (3) was applied for outbreak detection using the {faringtonFlexible} function: Results Algorithm A includes parameters chosen according to the results of the retrospective analysis (no trend and no seasonality). keywords: algorithm; data cache: ojphi-5837.pdf plain text: ojphi-5837.txt item: #599 of 1513 id: ojphi-5838 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 636 flesch: 34 summary: Keywords Animal production system; Forecasts; Multivariate health data; Statistical challenges; Syndromic surveillance Acknowledgments F. Vial and W. Wei are equal contributors on this project. Methods Although the benefits of ‘model-based’ inference and prediction seem to be generally well accepted in numerous scientific disciplines, this does not seem to have found the same resonance in the context of surveillance data. keywords: data; model; surveillance cache: ojphi-5838.pdf plain text: ojphi-5838.txt item: #600 of 1513 id: ojphi-5839 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 677 flesch: 46 summary: [Syndromic surveillance in Reunion Island: integrated surveillance system]. 1Regional Office of French Institute for Public Health Surveillance in Indian Ocean, Saint-Denis, Réunion; 2Hospital Centre, Saint- Paul, Réunion; 3University Hospital Centre, Saint-Denis, Réunion; 4University Hospital Centre, Saint-Pierre, Réunion; 5Hospital Centre, Saint-Benoît, Réunion Objective To assess the health impact of cyclone Bejisa from data of emergency departments (EDs) and emergency medical service (EMS) Introduction On January 2, 2014 the cyclone Bejisa struck Reunion Island. keywords: cyclone; health; surveillance cache: ojphi-5839.pdf plain text: ojphi-5839.txt item: #601 of 1513 id: ojphi-5840 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 799 flesch: 48 summary: Multiple sources of secondary data, including syndromic surveillance data, were used to describe leading causes of childhood injury in the county.1 Methods Mortality (deaths) were identified in data available online through the NC State Center for Health Statistics (SCHS) and the NC Violent Death Reporting System. Local Use of Public Health Surveillance Data Anna E. Waller*, Steven Lippmann, Amy Ising and Carolyn Crump UNC-Chapel Hill, Chapel Hill, NC, USA Objective To utilize secondary data sources to describe childhood injury and prioritize prevention efforts in Wake County, NC. keywords: data; injury cache: ojphi-5840.pdf plain text: ojphi-5840.txt item: #602 of 1513 id: ojphi-5841 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 769 flesch: 32 summary: Over the past decade, the Tennessee Department of Health (TDH) has utilized syndromic surveillance at the jurisdictional level. Keywords Surveillance system; Tennessee; Syndromic surveillance; Lessons learned *Caleb Wiedeman E-mail: caleb.wiedeman@tn.gov Online Journal of Public Health Informatics * ISSN 1947-2579 * keywords: data; surveillance; system cache: ojphi-5841.pdf plain text: ojphi-5841.txt item: #603 of 1513 id: ojphi-5842 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 730 flesch: 26 summary: ISDS 2014 Conference Abstracts Preparing for State Health Department Accreditation: Pivotal Roles for Public Health Surveillance Christopher D. Williams* DrPH Program, University of Illinois at Chicago, Baton Rouge, LA, USA Objective To specify the pertinent roles of public health surveillance in meeting documentation requirements for voluntary state health department accreditation. Health departments that are applying for voluntary accreditation through PHAB beginning July 1, 2014, must adhere to the current Standards & Measures Version 1.5 guidance document. keywords: health; public; surveillance cache: ojphi-5842.pdf plain text: ojphi-5842.txt item: #604 of 1513 id: ojphi-5843 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 676 flesch: 38 summary: A Step Toward Implementing IHR (2005) Tyler Wolford*, Christopher Chadwick and Chris Mangal Public Health Preparedness and Response, Association of Public Health Laboratories, Silver Spring, MD, USA Objective To promote the Laboratory Response Network (LRN) as a model that supports global health initiatives, strengthens worldwide laboratory systems, and advances international partnerships to prepare for and respond to infectious disease threats. The LRN, founded in 1999 by Centers for Disease Control and Prevention (CDC), Federal Bureau of Investigation (FBI) and the Association of Public Health Laboratories (APHL), is a specialized network of laboratories that are capable of an all-hazard response to a variety public health threats. keywords: health; ihr cache: ojphi-5843.pdf plain text: ojphi-5843.txt item: #605 of 1513 id: ojphi-5844 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 686 flesch: 44 summary: From the above studying, we concluded that the areas susceptible to influenza featured mostly in poorer surrounding districts, or be neighboring with Vietnam or/and Laos. Conclusions General spatial autocorrelation indicated that influenza incidence was aggregated at the provincial level, and local spatial autocorrelation analyses found that border- area with poorer living-level were evidence for hotspots of high incidence of ILI. So we turn to look the Local measures of spatial autocorrelation (LISA, local Moran’s I). keywords: china; ili; influenza cache: ojphi-5844.pdf plain text: ojphi-5844.txt item: #606 of 1513 id: ojphi-5845 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 732 flesch: 38 summary: This prototype utilizes emergency department data (ED) collected by NC DETECT, a state-wide syndromic surveillance system, in order to visualize, monitor, and compare annual local health indicators for use in local decision making. In this way, the project aims to increase noncommunicable disease surveillance capacity and improve situational awareness within North Carolina local health departments (LHDs). keywords: data; health; surveillance cache: ojphi-5845.pdf plain text: ojphi-5845.txt item: #607 of 1513 id: ojphi-5846 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 718 flesch: 50 summary: BioSense 2.0 is a cloud-based application that securely collects, tracks, and shares ED data from participating hospitals around the country. We used this event to test the use of CC field of ED data for detection of a novel public health event (i.e., serious adverse events related to synthetic marijuana use) not currently categorized in the BioSense syndromic surveillance library. keywords: data; keywords cache: ojphi-5846.pdf plain text: ojphi-5846.txt item: #608 of 1513 id: ojphi-5847 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 572 flesch: 44 summary: Given there may be differences in data completeness, quality, and content between the new HL7 data and legacy data, we evaluated data sent in both formats in parallel by several EDs. Discrepancies in the total visit counts between the parallel data streams and other issues with data quality (e.g., completeness) are reported back to individual hospitals for an explanation or correction, and testing in parallel is discontinued once all issues are resolved. keywords: data; hl7 cache: ojphi-5847.pdf plain text: ojphi-5847.txt item: #609 of 1513 id: ojphi-5848 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 750 flesch: 52 summary: The objective of ISSC is to integrate syndromic surveillance with conventional case report system for the early detection of infectious disease outbreak in rural China. These results suggested that this system had potential ability to supplement conventional case report system in detecting common infectious disease outbreaks in children, under the condition that every signal can be verified with high quality by local disease control workers. keywords: china; cisdcp; system cache: ojphi-5848.pdf plain text: ojphi-5848.txt item: #610 of 1513 id: ojphi-5849 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-02-25 words: 567 flesch: 23 summary: This project aims to foster the integration of existing surveillance data to support evidence-based decision-making in malaria control and demonstrate a model applicable to other diseases. ISDS 2014 Conference Abstracts Integrated Disease Surveillance to Reduce Data Fragmentation – An Application to Malaria Control Kate Zinszer1, 2, Arash Shaban-Nejad1, Sonia Menon1, Anya Okhmatovskaia1, Lauren Carroll2, Ian Painter2, Neil Abernethy2 and David Buckeridge*1 1Clinical and Health Informatics Research Group, McGill University, Montreal, QC, Canada; 2Department of Biomedical Informatics and Medical Education University of Washington, Seattle, WA, USA Objective Driven by the need to bring malaria surveillance data from different sources together to support evidence-based decision making, we are conducting the “Scalable Data Integration for Disease Surveillance” (SDIDS) project. keywords: control; data cache: ojphi-5849.pdf plain text: ojphi-5849.txt item: #611 of 1513 id: ojphi-5853 author: User title: ojphi-5853 date: 2015-07-16 words: 5337 flesch: 43 summary: It provides access to a wide array of public health information. Major fields of health information technology are PHI, biomedical informatics, telemedicine, radio-informatics, pharmaco-informatics and bioinformatics. keywords: databases; education; enhancement; figure; health; health informatics; home; information; issn; journal; medical; ojphi; page; public cache: ojphi-5853.pdf plain text: ojphi-5853.txt item: #612 of 1513 id: ojphi-5859 author: CDC User title: ojphi-5859 date: 2015-06-30 words: 5891 flesch: 38 summary: Laboratory test results with “final” status comprised the majority (68.7%) of all laboratory reports with result codes (Table 1) Findings from the analysis comparing results with “final” status to all results were comparable except that the number of laboratory test results with only LOINC codes differed (91.8% in all messages versus 61.4% in only “final” result messages). Fourteen hundred twenty eight unique LOINC and 608 unique SNOMED CT codes were used to describe laboratory test results. keywords: codes; coding; data; health; hospitals; laboratory; loinc; orders; public; pubmed; reports; results; snomed; system; test cache: ojphi-5859.pdf plain text: ojphi-5859.txt item: #613 of 1513 id: ojphi-5873 author: None title: ojphi-5873 date: 2015-06-30 words: 5865 flesch: 36 summary: Office of Public Health Scientific Services (OPHSS), Centers for Disease Control and Prevention, Atlanta, GA Abstract Objective: To bridge gaps identified during the 2009 H1N1 influenza pandemic by developing a system that provides public health departments improved capability to manage and track medical countermeasures at the state and local levels and to report their inventory levels to the Centers for Disease Control and Prevention (CDC). Results: IMATS was deployed in September 2011 and is provided at no cost to public health departments. keywords: countermeasures; departments; development; emergencies; health; imats; inventory; management; public; state; system; tracking; user cache: ojphi-5873.pdf plain text: ojphi-5873.txt item: #614 of 1513 id: ojphi-5874 author: Dr C.J.Uneke title: None date: 2015-07-06 words: 7114 flesch: 43 summary: This study highlighted the importance of information literacy knowledge and skill enhancement training among health policymakers. Most of the available reports on information literacy knowledge and skill enhancement focused on the training of either researchers or health care professionals particularly doctors, nurses and pharmacists [13-17]. keywords: control; evidence; health; information; information literacy; knowledge; literacy; nigeria; policymakers; policymaking; research; skill; study; workshop cache: ojphi-5874.pdf plain text: ojphi-5874.txt item: #615 of 1513 id: ojphi-5931 author: Dixon, Brian Edward title: ojphi-5931 date: 2015-07-10 words: 14372 flesch: 41 summary: How can routine health information systems improve health systems functioning in low- and middle-income countries? Review articles, both robust systematic reviews and weaker review articles spanned several topics, including the impact of mHealth interventions on healthcare quality, a general review of mHealth and its potential, the use of open-source EHR systems, health information systems in Sub-Saharan Africa countries, mobile phone interventions for consumer health, and overcoming shortages of human resources in LMICs keywords: 2011; 2012; 2013; articles; countries; data; development; epub; et al; ghi; health; health care; health informatics; health practice; health systems; ict; implementation; income; informatics literature; information; issn; j public; journal; literature; lmics; methods; mobile; nations; ojphi; online; past; phi; population; practice; prologue; public; public health; pubmed; research; review; studies; study; surveillance; systems; technology; telemedicine; use; world cache: ojphi-5931.pdf plain text: ojphi-5931.txt item: #616 of 1513 id: ojphi-5942 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-29 words: 777 flesch: 54 summary: To identify specific diagnoses, we limited our search to non-chronic diseases, which we hypothesized were more likely to have been previously diagnosed by a physician than an infectious illness or a major health event like appendicitis or stroke. Going forward, we will assess the accuracy of self-diagnosis by comparing patient self-diagnoses with clinician-assigned diagnoses available in hospitalization data from the Statewide Planning and Research Cooperative System of the New York State Department of Health. keywords: diagnosis; self cache: ojphi-5942.pdf plain text: ojphi-5942.txt item: #617 of 1513 id: ojphi-5943 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-30 words: 551 flesch: 45 summary: ISDS 2014 Conference Abstracts Environmental Health Surveillance: A Critical Function of Public Health Laboratories Sylvia Checkley*1, 2, Sumana Fathima2, Norman Neumann2, 3 and Shamir Mukhi4, 2 1Ecosystem and Public Health, University of Calgary, Calgary, AB, Canada; 2Provincial Laboratory for Public Health, Calgary, AB, Canada; 3School of Public Health, University of Alberta, Edmonton, AB, Canada; 4Canadian Network for Public Health Intelligence, National Microbiology Laboratory, Winnipeg, MB, Canada Objective The objectives of this environmental health surveillance system were to provide a robust system for monitoring of water quality trends, and information to be used for mitigation of potential health problems, resource planning, risk analyses and decision making. Int J Environ Health Res 2006 16(3):167–180. *Sylvia Checkley E-mail: slcheckl@ucalgary.ca Online Journal of Public Health Informatics * keywords: canada; health; water cache: ojphi-5943.pdf plain text: ojphi-5943.txt item: #618 of 1513 id: ojphi-5944 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-30 words: 739 flesch: 51 summary: But now Ukraine crisis carries significant public health risk and requires changing tactics of surveillance and epidemiological control against measles. Map of number of measles cases in Kharkiv oblast from 01/01/2014 to 09/01/2014 Keywords Ukraine; vaccine preventable diseases; a treat of the spread of communicable diseases References 1. keywords: cases; measles; ukraine cache: ojphi-5944.pdf plain text: ojphi-5944.txt item: #619 of 1513 id: ojphi-5945 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-30 words: 685 flesch: 38 summary: ISDS 2014 Conference Abstracts Disaster Public Health Surveillance Response Systems in Yogyakarta, Indonesia Bella Donna1, Endang Suparniati2, Madelina Ariani*1 and Rossi Sanusi1 1Center for Health Policy and Management Faculty of Medicine UGM, Sleman, Indonesia; 2Dr Sardjito Hospital, Regional Referral Hospital, MoH, Sleman, Indonesia Objective To examine whether the danger zone District Health Office (DHO) and sub-district Health Centers (HCs) were employing an inter-disaster Public Health Surveillance-Response (PH S-R) System after the October 2010 Mt Merapi eruption and a pre-disaster PH S-R System during the July 2013 Mt Merapi eruption. The hazards posed by the ash clouds of the volcano and by the displacement of vulnerable populations, did cause certain physical and emotional sufferings, but could be controlled by the local administration. keywords: dho; disaster; health cache: ojphi-5945.pdf plain text: ojphi-5945.txt item: #620 of 1513 id: ojphi-5946 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-30 words: 565 flesch: 35 summary: Introduction According to world health organization report 2011, coronary artery diseases are the number one cause of death globally: more people die annually from coronary artery diseases than from any other cause. Populations living in low and middle income countries are exposed to more risk factors associated with coronary artery disease as well as other non-communicable diseases and are less exposed to prevention efforts than people in high income countries. keywords: artery; surgery cache: ojphi-5946.pdf plain text: ojphi-5946.txt item: #621 of 1513 id: ojphi-5947 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-30 words: 756 flesch: 34 summary: Great strides have been made exploring and exploiting new and different sources of disease surveillance data and developing robust statistical methods for analyzing the collected data (1). Conclusions Advances in infectious disease informatics research in recent years has allowed significant improvements not only in data collection, sharing, reporting, and analyzing, but also in data dissemination and visualization maximizing the data usage. keywords: data; notifiable; surveillance cache: ojphi-5947.pdf plain text: ojphi-5947.txt item: #622 of 1513 id: ojphi-5948 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-30 words: 806 flesch: 44 summary: The World Organisation for Animal Health (OIE) now promotes establishment of disease free zones to lessen the impact of trade restrictions. As such, geographical regions that seem to have inherent protection against disease incursions usually due to geo- spatial features such as mountains, rivers, remoteness etc. serve as the best candidates for creation of disease free zones. keywords: centre; disease; zambia cache: ojphi-5948.pdf plain text: ojphi-5948.txt item: #623 of 1513 id: ojphi-5949 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-04-30 words: 678 flesch: 32 summary: Conclusions Public health agencies across the United States vary in their capacity to onboard meaningful use syndromic data. Following a collaborative onboarding process with the public health agency as a key stakeholder is critical to understanding and using meaningful use syndromic information. keywords: health; use cache: ojphi-5949.pdf plain text: ojphi-5949.txt item: #624 of 1513 id: ojphi-5950 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 546 flesch: 33 summary: From our evaluation so far, there is an increased interest from various stakeholders in using these Machine Learning algorithms and NLP technology on Surveillance data. At LongRiver Infotech, we have used various Machine Learning techniques (Regression, Classification, Text Analytics, Decision Trees, Clustering etc.) keywords: data; surveillance; use cache: ojphi-5950.pdf plain text: ojphi-5950.txt item: #625 of 1513 id: ojphi-5951 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 500 flesch: 20 summary: The community members believed that mass animal vaccination in combination with health education about the disease is possible if it involves government and all other stakeholders such as wildlife authorities, community members, local to national political leaders, as well as the technical personnel from both veterinary, medical and public health sectors. The aim of our study, therefore, was to explore community perceptions on integration of animal vaccination and health education by veterinary and public health workers in the management of brucellosis. keywords: health; vaccination cache: ojphi-5951.pdf plain text: ojphi-5951.txt item: #626 of 1513 id: ojphi-5952 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 801 flesch: 52 summary: It links urgent notification, case investigation data, and laboratory data on an online basis. Also 38% of cases reported contact with animal products, 29% cleaned farms, and 12% had contact with soil. keywords: anthrax; cases; data; year cache: ojphi-5952.pdf plain text: ojphi-5952.txt item: #627 of 1513 id: ojphi-5953 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 734 flesch: 34 summary: Although the Ministry of Health (MOH) exercises authority over issues of health, the operation of policies and practices on disease surveillance is by the Ghana Health Service (GHS), an agency of the MOH despite the existence of other agencies such as the teaching hospitals. Methods We examine Ghana’s health system in relation to communicable disease surveillance and identify possible challenges to the current system and suggest some ways to improve disease surveillance in Ghana in light of the current threat of Ebola and other emerging infectious diseases. keywords: ghana; health; surveillance cache: ojphi-5953.pdf plain text: ojphi-5953.txt item: #628 of 1513 id: ojphi-5954 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 745 flesch: 37 summary: ISDS 2014 Conference Abstracts Insight into Malaria Transmission and Control in Endemic Areas Beatty V. Maikai*1, Jarlath U. Umoh1 and Victor A. Maikai2 1Department of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, Ahmadu Bello University, Zaria, Nigeria; 2College of Agriculture and Animal Science, Ahmadu Bello University, Kaduna, Nigeria Objective To examine the likely impact of malaria parasite intervention points for a steady state regional control program in endemic areas Introduction The global effort of malaria control is in line with the one world one health concept, but then a globally defined ‘‘one-size-fits-all’’ malaria control strategy would be inefficient in endemic areas. Results Population important in malaria transmission are the susceptible, infected and infectious Anopheles mosquitoes and human populations. keywords: control; intervention; malaria cache: ojphi-5954.pdf plain text: ojphi-5954.txt item: #629 of 1513 id: ojphi-5955 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 683 flesch: 37 summary: Introduction Before the launch of standard National Health Information System (NMHIS) in 2000, there had been acute paucity of reliable and timely health information in Pakistan. ISDS 2014 Conference Abstracts Determining Disease Load through the National Health Information System in Pakistan Syed M. Mursalin* National Health Institute, National Health Inforamtion/Disease Surveillance Centre, Islamabad, Pakistan Objective Purpose of this abstract is to show how launch of a standard National Health Information System is has become the main national data source, and is, playing a pivotal role in facilitating decision making in health care system in Pakistan. keywords: health; information; system cache: ojphi-5955.pdf plain text: ojphi-5955.txt item: #630 of 1513 id: ojphi-5956 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 353 flesch: 32 summary: Conclusions Based on observations in this study and the increased usage of social media, we posit that online illness reports could complement traditional surveillance systems by providing near real-time information on foodborne illnesses, implicated foods and locations. Introduction Traditional surveillance systems only capture a fraction of the estimated 48 million yearly cases of foodborne illness in the United States due to few affected individuals seeking medical care and lack of reporting to appropriate authorities. keywords: cdc; foodborne cache: ojphi-5956.pdf plain text: ojphi-5956.txt item: #631 of 1513 id: ojphi-5957 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 732 flesch: 26 summary: Introduction A variety of big data analytics, techniques and tools including social media analytics, open source visualizations, statistical anomaly detection, use of Application Programming Interfaces (APIs), and geospatial mapping, are used for infectious disease biosurveillance. 155 ISDS 2014 Conference Abstracts Big Data Analytics for Mass Casualty Incident (MCI) Situational Awareness Catherine Ordun*1, Timothy Davis5, Brante Goode2, Dean Ross3 and Mike Hopmeier4 1Strategic Innovation Group, Booz Allen Hamilton, Atlanta, GA, USA; 2Office of Public Health Preparedness and Response, Centers for Disease Control and Prevention, Atlanta, GA, USA; 3National Park Service, Washington, DC, USA; 4Unconventional Concepts, Inc., Reston, VA, USA; 5National Disaster Medical System, Assistant Secretary of Preparedness and Response, Washington, DC, USA Objective Discuss how different big-data analytics, techniques, and tools including open source platforms, cloud analytics, social media, crowdsourcing, and geospatial visualization can be used to quickly achieve situational awareness within seconds of a MCI, for use by pre-hospital responders, healthcare workers, and policy makers. keywords: analytics; data; health; mci cache: ojphi-5957.pdf plain text: ojphi-5957.txt item: #632 of 1513 id: ojphi-5958 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 664 flesch: 25 summary: Case detection and outbreak mitigation were considered key reasons to undertake polio surveillance. 160 ISDS 2014 Conference Abstracts Protecting Australia from Future Polio Outbreaks Beverley J. Paterson*1, Nicolee Martin2 and David N. Durrheim1 1Hunter Medical Research Unit, University of Newcastle, Newcastle, NSW, Australia; 2Australian Government Department of Health and Ageing, Canberra, ACT, Australia Objective Few countries have tested the sensitivity of their polio surveillance systems, undertaken a comprehensive risk assessment or questioned whether existing polio surveillance strategies are the optimal surveillance at this stage of the global eradication initiative. keywords: australia; polio; surveillance cache: ojphi-5958.pdf plain text: ojphi-5958.txt item: #633 of 1513 id: ojphi-5959 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-07 words: 743 flesch: 23 summary: The project showcases how gains in surveillance capacity in lower and middle income countries can rapidly be achieved through cooperative partnerships and flexible approaches. Principally funded by Australian aid and developed in partnership with the World Health Organization (WHO), the Secretariat of the Pacific Community (SPC) and the Pacific Public Health Surveillance Network (PPHSN), RAPID is an example of a multi-organisational approach to swiftly address identified surveillance issues and strengthen regional surveillance capacity. keywords: health; pacific; surveillance cache: ojphi-5959.pdf plain text: ojphi-5959.txt item: #634 of 1513 id: ojphi-5960 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-12 words: 345 flesch: 41 summary: The present study aims to analyze data from the Integrated Disease Surveillance Project (ISDP) to estimate the rates of selected infectious diseases in the state of Maharashtra in comparison to the rest of India. Introduction In India the range and burden of infectious diseases is enormous. keywords: india cache: ojphi-5960.pdf plain text: ojphi-5960.txt item: #635 of 1513 id: ojphi-5961 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-08 words: 470 flesch: 37 summary: Conclusions One of the largest challenges from real-time reporting is dealing with incomplete case count data. Once case counts are completed for a given biweek - which can take up to six months in rural provinces - each model can be cross-validated and compared, using methods such as mean average squared error (MASE). keywords: data; health cache: ojphi-5961.pdf plain text: ojphi-5961.txt item: #636 of 1513 id: ojphi-5962 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-08 words: 503 flesch: -24 summary: 181 ISDS 2014 Conference Abstracts Involvement of Local Communities and Households in the Implementation of the “One Health” Initiative Through the East African Integrated Disease Surveillance Network (EAIDSNet) Stanley S. SONOIYA* Health, East African Community Secretariat, Arusha, United Republic of Tanzania Objective The main objectives of the Network are to promote cross-border integrated diseases prevention and control through “One Health” approaches and joint action focusing on innovative human, animal and ecosystem health interventions, to among others:1) enhance and strengthen cross-country and cross-institutional collaboration through regional coordination of activities and local community participation, 2) promote exchange and dissemination of appropriate information on Integrated Disease Surveillance (IDS) and other disease control activities, 3) harmonize integrated disease surveillance systems in the region, 4) strengthen capacity for implementing integrated disease surveillance and control activities, and 5) ensure continuous exchange of expertise and best practices for integrated disease surveillance and control of pandemics and epidemics of communicable and vector-borne diseases in the East African Community Partner States (Burundi, Kenya, Rwanda, Uganda and Tanzania). The East African Community (www.eac.int) is implementing the “One Health” initiative through the “East African Integrated Disease Surveillance Network (EAIDSNet)” which is a regional collaborative effort of the national Ministries responsible for human and animal health as well as the national health research and academic institutions of the five (5) EAC Partner States. keywords: disease; surveillance cache: ojphi-5962.pdf plain text: ojphi-5962.txt item: #637 of 1513 id: ojphi-5963 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-08 words: 630 flesch: 43 summary: Introduction Michigan has been collecting chief complaint data from emergency departments statewide to support situational awareness activities related to communicable disease since 2004. Positive predictive value of a case definition for diabetes mellitus using automated administrative health data in children and youth exposed to antipsychotic drugs or control medications: a Tennessee Medicaid study. keywords: data; health; system cache: ojphi-5963.pdf plain text: ojphi-5963.txt item: #638 of 1513 id: ojphi-5964 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-08 words: 600 flesch: 37 summary: Results The challenges encountered and solutions employed are described below: Conclusions There are many challenges in establishing surveillance systems for road injuries in India, predominantly rapid staff turnover, heavy workload and the absence of already existing data recording and management in hospitals. Reiterating the value of surveillance data to negotiate for hospital resources commensurate with the high burden of road injuries may help convince hospital administrators to sustain such surveillance initiatives. keywords: india; road; surveillance cache: ojphi-5964.pdf plain text: ojphi-5964.txt item: #639 of 1513 id: ojphi-5965 author: scholcommuser title: 2014.ISDS.Abstracts.Final.pdf date: 2015-05-08 words: 726 flesch: 47 summary: Results The focus of dengue disease surveillance efforts was Lahore city. Therefore, the federal government is required to expand effective vector control measures and dengue surveillance programs to other provinces as well. keywords: dengue; pakistan; surveillance cache: ojphi-5965.pdf plain text: ojphi-5965.txt item: #640 of 1513 id: ojphi-6010 author: None title: ojphi-6010 date: 2015-07-02 words: 6418 flesch: 43 summary: Event ontologies have been used in distributed event-based systems to integrate temporal information from various sources We demonstrated the ability of the combined SEM-CEM ontology to model identity events over time. keywords: 2015; birth; cem; child; events; health; healthcare; identity; information; journal; model; online; ontologies; ontology; public; record; resolution; sem; semantic cache: ojphi-6010.pdf plain text: ojphi-6010.txt item: #641 of 1513 id: ojphi-6011 author: None title: None date: 2015-07-09 words: 4228 flesch: 44 summary: Methods: Data were collected from diabetic patients attending the diabetes education clinic at the Ministry of National Guard Health Affairs (MNGHA) in the Eastern region of Saudi Arabia over a three month period. Conclusions: Diabetic patients could be ready to play a more active role in their care if given the opportunity. keywords: diabetes; disease; health; management; patients; pubmed; self; study; technology; tele; use; willingness cache: ojphi-6011.pdf plain text: ojphi-6011.txt item: #642 of 1513 id: ojphi-6018 author: None title: ojphi-6018 date: 2015-06-30 words: 3370 flesch: 42 summary: As of July 1, 2014, 68% of CPSP participants were enrolled in electronic reporting, very close to the 70% target. Approximately 50% of online participants report the first day they receive the notification e-mail. keywords: cpsp; diseases; health; participants; program; reporting; surveillance; system cache: ojphi-6018.pdf plain text: ojphi-6018.txt item: #643 of 1513 id: ojphi-6031 author: Jennifer Ford title: ojphi-6031 date: 2015-07-09 words: 5727 flesch: 51 summary: There have been few studies that have looked at the use and usefulness of virtual CoPs in public health. Methods: This project sought to gather the evidence and develop recommendations for the value of virtual CoPs in public health through a literature review, and through piloting two CoPs in obesity. keywords: communities; cops; health; information; knowledge; obesity; practice; public; research; sharing; support; users cache: ojphi-6031.pdf plain text: ojphi-6031.txt item: #644 of 1513 id: ojphi-6047 author: Denise Krause title: ojphi-6047 date: 2015-12-22 words: 3869 flesch: 50 summary: Methods: A managed data lake was designed and constructed for health data from disparate sources throughout the state of Mississippi. Many agencies and organizations throughout Mississippi have been collecting quality health data for many years. keywords: access; care; data; health; informatics; mississippi; visualization; workforce cache: ojphi-6047.pdf plain text: ojphi-6047.txt item: #645 of 1513 id: ojphi-6096 author: None title: ojphi-6096 date: 2016-05-19 words: 6526 flesch: 56 summary: Keywords: data quality, partially accruing data, accrual lag, data visualization, secondary-use data, real- time surveillance, incomplete data Correspondence: jreaton@uw.edu DOI: 10.5210/ojphi.v7i3.6096 Copyright ©2015 the author(s) Each tool was developed during the exploratory analysis to gain insight into structural aspects of data quality. keywords: data; date; event; health; indicator; informatics; journal; lag; public; quality; surveillance; time; use cache: ojphi-6096.pdf plain text: ojphi-6096.txt item: #646 of 1513 id: ojphi-6104 author: Erik Escobar title: ojphi-6104 date: 2015-12-22 words: 6623 flesch: 44 summary: University of Massachusetts, Amherst 4. Tufts University School of Medicine, Department of Public Health and Community Medicine Abstract Recently, the first comprehensive guidelines were published for pre-exposure prophylaxis (PrEP) for the prevention of HIV infection in populations with substantial risk of infection. We used the agent-based modeling software NetLogo, building upon an existing model of HIV infection. keywords: agent; condom; hiv; men; model; msm; prep; prevalence; prophylaxis; risk; usage cache: ojphi-6104.pdf plain text: ojphi-6104.txt item: #647 of 1513 id: ojphi-6282 author: None title: None date: 2015-12-19 words: 4465 flesch: 44 summary: 559 NextGen 6% 71 Allscripts 6% 70 eClinicalWorks 6% 67 Cerner 4% 50 Centricity 4% 45 Greenway 3% 40 Meditech 2% 24 Other 19% 220 Total 1,146 Table 2: EHR Adoption and Vendors in Minnesota Local Public Health Departments*, 2014 Electronic Health Record Systems Percent Count PH-Doc 56% 28 CHAMP 36% 18 CareFacts 12% 6 Custom-built local system 8% 4 Digital Health Department 4% 2 Decade 2% 1 Other 10% 5 Total 50* *Assessed at Community Health Board (CHB) level; more than 1 system may be used in Table 3 presents the organizations that have implemented the AA functionality and number of affiliated sites with access and currently this comprises of 25 healthcare systems/organizations representing 599 individual provider sites. Figure 3 excludes Health System I which was an outlier with 73,659 queries. keywords: access; health; iis; immunization; information; miic; minnesota; public; system cache: ojphi-6282.pdf plain text: ojphi-6282.txt item: #648 of 1513 id: ojphi-6350 author: None title: None date: 2016-09-14 words: 4522 flesch: 45 summary: Recognizing the complexity of MFL management and the importance of keeping an up-to-date MFL registry for developing countries, two prominent international initiatives (Facility Registry and the Open Health Information Exchange) have been launched which intend providing open source applications for managing health facility registries and enhancing the exchange of health data between information systems that house health facility data (17,18). The recently assented Nigerian National Health Act of 2015 in Part II (Health Establishments and Technologies), sections 12-19 further provides legal credence for the better coordination of health facility registries and accreditation organizations in states (19). keywords: data; facility; health; health facility; information; mfl; nigeria; registry; use cache: ojphi-6350.pdf plain text: ojphi-6350.txt item: #649 of 1513 id: ojphi-6354 author: None title: ojphi-6354 date: 2015-12-22 words: 5487 flesch: 45 summary: Use cases considered were technical challenges posed by health departments to the TCC. Advisory Group conference calls were conducted to select use cases for the consultancies based on criteria that included the public health importance and technical clarity of the proposed challenge and the likelihood of obtaining a sufficient shareable benchmark dataset. keywords: case; chief; clusters; consultancy; data; department; developers; health; methods; needs; online; public; records; solution; surveillance; use cache: ojphi-6354.pdf plain text: ojphi-6354.txt item: #650 of 1513 id: ojphi-6373 author: Edward Mensah title: ojphi-6373 date: 2016-01-28 words: 857 flesch: 32 summary: The global disease surveillance community lacks consensus on preferred technical methods for monitoring public health data. Public health practitioners quite often must rely on clinical health data for real -time surveillance. keywords: data; health; surveillance cache: ojphi-6373.pdf plain text: ojphi-6373.txt item: #651 of 1513 id: ojphi-6380 author: Loren Rodgers title: ojphi-6380 date: 2016-09-14 words: 5857 flesch: 45 summary: Conclusions: Interoperability with provider EHRs has had an impact on NDIIS data quality. The objective of this study is to evaluate the impact of EHR interoperability on NDIIS data quality by comparing data entry, timeliness and data completeness, as well as, immunization rates for records belonging to providers submitting electronic data (i.e. interoperable) to those for providers manually entering data directly into the NDIIS (i.e. non-interoperable). keywords: data; ehr; enhancement; health; immunization; information; interoperability; months; ndiis cache: ojphi-6380.pdf plain text: ojphi-6380.txt item: #652 of 1513 id: ojphi-6395 author: None title: ojphi-6395 date: 2016-02-25 words: 4874 flesch: -66 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; anne; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; population; state; surveillance; surveillance data; surveillance system; system; use; washington cache: ojphi-6395.pdf plain text: ojphi-6395.txt item: #653 of 1513 id: ojphi-6396 author: None title: ojphi-6396 date: 2016-02-25 words: 4920 flesch: -35 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: biosense; data; data validation; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; illness; impact; influenza; john; laura; mark; mary; michael; onboarding; process; quality; response; state; surveillance; surveillance data; surveillance system; system; time; use; validation cache: ojphi-6396.pdf plain text: ojphi-6396.txt item: #654 of 1513 id: ojphi-6397 author: None title: ojphi-6397 date: 2016-02-25 words: 5003 flesch: -27 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; anne; data; david; department; disease; disease surveillance; disparities; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; new; poverty; public; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6397.pdf plain text: ojphi-6397.txt item: #655 of 1513 id: ojphi-6398 author: Michael Popovich title: ojphi-6398 date: 2016-09-16 words: 4377 flesch: 33 summary: This paper will provide descriptions of case examples to demonstrate the value of electronic data exchanges when pharmacy immunization providers and public health work together. As the information systems and data exchanges are extended to a community of care that includes pharmacists, the opportunity to integrate with state public health immunization registries that add decision support expands the current Immunization Information Ecosystem (IIe) for increasing vaccine coverage rates of all ages. keywords: health; health informatics; iis; immunization; information; patient; pharmacies; pharmacy cache: ojphi-6398.pdf plain text: ojphi-6398.txt item: #656 of 1513 id: ojphi-6404 author: None title: ojphi-6404 date: 2016-02-25 words: 5093 flesch: -25 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: anne; conference; data; david; department; disease; disease surveillance; ebola; emergency; equity; evaluation; gillian; health; health equity; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; public; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6404.pdf plain text: ojphi-6404.txt item: #657 of 1513 id: ojphi-6405 author: None title: ojphi-6405 date: 2016-02-25 words: 5142 flesch: -13 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: case; data; david; detection; disease; disease surveillance; ebola; emergency; evaluation; health; ili; illness; impact; influenza; influenza outbreaks; john; laura; mark; mary; michael; model; multiple; outbreaks; start; state; surveillance; surveillance data; surveillance system; system cache: ojphi-6405.pdf plain text: ojphi-6405.txt item: #658 of 1513 id: ojphi-6406 author: None title: ojphi-6406 date: 2016-02-25 words: 5077 flesch: -30 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; biosense; data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; hl7; illness; impact; influenza; john; laura; mark; mary; messages; michael; monitoring; new; quality; source; state; surveillance; surveillance data; surveillance system; system; tool; use cache: ojphi-6406.pdf plain text: ojphi-6406.txt item: #659 of 1513 id: ojphi-6407 author: None title: ojphi-6407 date: 2016-02-29 words: 5024 flesch: -35 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; county; data; david; department; disease; disease surveillance; ebola; emergency; essence; evaluation; flakka; florida; health; illness; impact; influenza; john; laura; mark; mary; michael; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6407.pdf plain text: ojphi-6407.txt item: #660 of 1513 id: ojphi-6408 author: None title: ojphi-6408 date: 2016-02-26 words: 5090 flesch: -15 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: correlation; data; david; department; disease; disease surveillance; ebola; eric; evaluation; fny; health; ilinet; illness; impact; influenza; john; laura; mark; mary; michael; national; public; quality; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6408.pdf plain text: ojphi-6408.txt item: #661 of 1513 id: ojphi-6409 author: None title: ojphi-6409 date: 2016-02-26 words: 5022 flesch: -30 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; community; community health; county; data; david; disease; disease surveillance; ebola; emergency; essence; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; rates; room; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6409.pdf plain text: ojphi-6409.txt item: #662 of 1513 id: ojphi-6410 author: None title: ojphi-6410 date: 2016-02-26 words: 5042 flesch: -21 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: county; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; illness; impact; individuals; influenza; john; laura; mark; mary; michael; pep; public; rabies; records; reporting; state; surveillance; surveillance system; system; visits cache: ojphi-6410.pdf plain text: ojphi-6410.txt item: #663 of 1513 id: ojphi-6411 author: None title: ojphi-6411 date: 2016-02-26 words: 5139 flesch: -20 summary: Keywords One Health Surveillance; One Health; Integrated surveillance Acknowledgments in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; data; david; department; disease; disease surveillance; domains; ebola; evaluation; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; ohs; population; public; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6411.pdf plain text: ojphi-6411.txt item: #664 of 1513 id: ojphi-6412 author: None title: ojphi-6412 date: 2016-02-26 words: 5051 flesch: -30 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; department; disease; disease surveillance; ebola; emergency; evaluation; france; health; health surveillance; hospitalizations; illness; impact; influenza; john; laura; mark; mary; michael; national; state; surveillance; surveillance data; surveillance system; system; use; virus; visits; years cache: ojphi-6412.pdf plain text: ojphi-6412.txt item: #665 of 1513 id: ojphi-6413 author: None title: ojphi-6413 date: 2016-02-26 words: 4965 flesch: -41 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; data; data sharing; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; national; outbreak; quality; sharing; state; surveillance; surveillance data; surveillance system; system; use; virus cache: ojphi-6413.pdf plain text: ojphi-6413.txt item: #666 of 1513 id: ojphi-6414 author: None title: ojphi-6414 date: 2016-05-19 words: 5102 flesch: -28 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; andrew; anne; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; integration; john; laura; mark; mary; michael; monitoring; platform; sdids; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6414.pdf plain text: ojphi-6414.txt item: #667 of 1513 id: ojphi-6415 author: None title: ojphi-6415 date: 2016-02-26 words: 5133 flesch: -33 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; bayesian; data; david; decision; department; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; national; networks; response; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6415.pdf plain text: ojphi-6415.txt item: #668 of 1513 id: ojphi-6416 author: None title: ojphi-6416 date: 2016-02-26 words: 4962 flesch: -17 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; cases; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; france; french; health; health surveillance; illness; impact; influenza; john; laura; malaria; mark; mary; michael; national; population; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6416.pdf plain text: ojphi-6416.txt item: #669 of 1513 id: ojphi-6430 author: None title: ojphi-6430 date: 2016-02-26 words: 5134 flesch: -1 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: cases; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; illness; impact; influenza; john; laura; marijuana; mark; mary; michael; monitoring; public; state; surveillance; surveillance system; syndrome; system; use; visits cache: ojphi-6430.pdf plain text: ojphi-6430.txt item: #670 of 1513 id: ojphi-6431 author: None title: ojphi-6431 date: 2016-02-26 words: 5181 flesch: -16 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: approach; case; data; david; disease; disease surveillance; ebola; estimates; evaluation; health; illness; impact; influenza; john; laura; mark; mary; michael; model; number; outbreak; population; reproduction; reproduction number; risk; state; surveillance; surveillance system; system; use cache: ojphi-6431.pdf plain text: ojphi-6431.txt item: #671 of 1513 id: ojphi-6432 author: None title: ojphi-6432 date: 2016-02-26 words: 5065 flesch: -30 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: content; county; data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; hl7; illness; impact; influenza; information; john; laura; mark; mary; message; michael; patient; public; quality; state; surveillance; surveillance data; surveillance system; system; use; validation cache: ojphi-6432.pdf plain text: ojphi-6432.txt item: #672 of 1513 id: ojphi-6433 author: None title: ojphi-6433 date: 2016-03-25 words: 5112 flesch: 3 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; case; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; injuries; injury; john; laura; mark; mary; michael; prevention; state; surveillance; surveillance system; system; time; use cache: ojphi-6433.pdf plain text: ojphi-6433.txt item: #673 of 1513 id: ojphi-6434 author: None title: ojphi-6434 date: 2016-02-29 words: 5117 flesch: -33 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; case; china; closure; data; david; detection; disease; disease surveillance; ebola; eric; evaluation; h7n9; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; poultry; public; state; surveillance; surveillance system; system; use; virus cache: ojphi-6434.pdf plain text: ojphi-6434.txt item: #674 of 1513 id: ojphi-6435 author: None title: ojphi-6435 date: 2016-03-23 words: 4997 flesch: -33 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: anne; data; david; disease; disease surveillance; ebola; essence; evaluation; gillian; health; health surveillance; illness; impact; influenza; information; john; jurisdictions; laura; mark; mary; michael; national; new; sharing; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6435.pdf plain text: ojphi-6435.txt item: #675 of 1513 id: ojphi-6436 author: None title: ojphi-6436 date: 2016-02-29 words: 5113 flesch: -18 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; andrew; anne; countries; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; national; state; surveillance; surveillance system; survey; system; use; virus; zoonoses cache: ojphi-6436.pdf plain text: ojphi-6436.txt item: #676 of 1513 id: ojphi-6437 author: None title: ojphi-6437 date: 2016-03-23 words: 5159 flesch: -31 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: data; david; detection; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laboratory; laura; mark; mary; michael; ontario; public; self; state; study; surveillance; surveillance data; surveillance system; swabbing; system; time; use cache: ojphi-6437.pdf plain text: ojphi-6437.txt item: #677 of 1513 id: ojphi-6438 author: None title: ojphi-6438 date: 2016-03-23 words: 5101 flesch: -20 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; disease; disease surveillance; ebola; epidemic; evaluation; gft; health; ilinet; ilinet data; illness; impact; influenza; john; laura; mark; mary; michael; model; nicholas; season; severity; state; surveillance; surveillance data; surveillance system; system; use; week cache: ojphi-6438.pdf plain text: ojphi-6438.txt item: #678 of 1513 id: ojphi-6439 author: None title: ojphi-6439 date: 2016-03-23 words: 5042 flesch: -35 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: data; david; deprivation; disease; disease surveillance; ebola; evaluation; gis; health; health surveillance; illness; impact; influenza; information; john; laura; mapper; marginalization; mark; mary; michael; ontario; population; public; sdoh; state; surveillance; surveillance system; system; time; use cache: ojphi-6439.pdf plain text: ojphi-6439.txt item: #679 of 1513 id: ojphi-6440 author: None title: ojphi-6440 date: 2016-03-23 words: 4941 flesch: -42 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; case; data; david; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; phims; population; public; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6440.pdf plain text: ojphi-6440.txt item: #680 of 1513 id: ojphi-6441 author: None title: ojphi-6441 date: 2016-03-23 words: 5100 flesch: -12 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; anne; case; contacts; data; david; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; nigeria; outbreak; state; surveillance; surveillance system; system; use; virus cache: ojphi-6441.pdf plain text: ojphi-6441.txt item: #681 of 1513 id: ojphi-6442 author: None title: ojphi-6442 date: 2016-03-23 words: 5051 flesch: -14 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: african; american; cancer; cancer health; data; david; disease; disease surveillance; disparities; ebola; evaluation; health; health disparities; health surveillance; illness; impact; incidence; influenza; john; laura; mark; mary; michael; population; rates; state; surveillance; surveillance system; system; use; wisconsin cache: ojphi-6442.pdf plain text: ojphi-6442.txt item: #682 of 1513 id: ojphi-6443 author: None title: ojphi-6443 date: 2016-03-23 words: 5127 flesch: -9 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; case; clusters; data; david; department; detection; disease; disease surveillance; ebola; eric; evaluation; health; illness; impact; influenza; john; laura; mark; mary; michael; new; outbreak; salmonella; serotype; state; surveillance; surveillance system; system; time; use cache: ojphi-6443.pdf plain text: ojphi-6443.txt item: #683 of 1513 id: ojphi-6444 author: None title: ojphi-6444 date: 2016-03-23 words: 5118 flesch: -33 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; anne; biosense; care; case; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6444.pdf plain text: ojphi-6444.txt item: #684 of 1513 id: ojphi-6445 author: None title: ojphi-6445 date: 2016-03-23 words: 5051 flesch: -24 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; centrality; chicago; cre; data; david; department; disease; disease surveillance; ebola; evaluation; facilities; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; network; patient; sharing; state; surveillance; surveillance system; system; use cache: ojphi-6445.pdf plain text: ojphi-6445.txt item: #685 of 1513 id: ojphi-6447 author: None title: ojphi-6447 date: 2016-03-23 words: 5026 flesch: -36 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: alberta; alerts; control; data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; intervention; john; laura; mark; mary; michael; outbreaks; state; study; surveillance; surveillance data; surveillance system; system; time; use; zone cache: ojphi-6447.pdf plain text: ojphi-6447.txt item: #686 of 1513 id: ojphi-6448 author: None title: ojphi-6448 date: 2016-03-23 words: 5004 flesch: -29 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: alerts; control; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; health units; illness; impact; influenza; john; laura; mark; mary; michael; public; public health; state; surveillance; surveillance data; surveillance system; system; units; use cache: ojphi-6448.pdf plain text: ojphi-6448.txt item: #687 of 1513 id: ojphi-6449 author: None title: ojphi-6449 date: 2016-03-23 words: 5042 flesch: -38 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: amc; community; data; david; department; detection; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; hospital; ili; illness; impact; influenza; john; laura; mark; mary; michael; rates; state; surveillance; surveillance system; system; use cache: ojphi-6449.pdf plain text: ojphi-6449.txt item: #688 of 1513 id: ojphi-6450 author: None title: ojphi-6450 date: 2016-03-02 words: 4981 flesch: -42 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; department; disease; disease surveillance; ebola; emergency; emr; evaluation; gillian; health; health surveillance; ili; illness; impact; influenza; information; john; laura; mark; mary; michael; sections; state; surveillance; surveillance system; system; time cache: ojphi-6450.pdf plain text: ojphi-6450.txt item: #689 of 1513 id: ojphi-6451 author: None title: ojphi-6451 date: 2016-03-02 words: 5117 flesch: -5 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; andrew; anne; case; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; populations; risk; situational; state; surveillance; surveillance system; system; use cache: ojphi-6451.pdf plain text: ojphi-6451.txt item: #690 of 1513 id: ojphi-6452 author: None title: ojphi-6452 date: 2016-03-02 words: 5081 flesch: -55 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; healthcare; hit; illness; impact; influenza; information; interoperability; john; laura; mark; mary; michael; state; surveillance; surveillance data; surveillance system; sys; sys data; system; testing; use; validation cache: ojphi-6452.pdf plain text: ojphi-6452.txt item: #691 of 1513 id: ojphi-6453 author: None title: ojphi-6453 date: 2016-03-02 words: 5023 flesch: -24 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Shifting the Paradigm: Using HIV Surveillance Data as a Foundation for Improving HIV Care and Preventing HIV Infection. keywords: care; community; data; david; denver; disease; disease surveillance; ebola; evaluation; health; health surveillance; hiv; illness; impact; influenza; john; laura; mark; mary; michael; new; population; public; reporting; state; surveillance; surveillance data; surveillance system; system; tool; use cache: ojphi-6453.pdf plain text: ojphi-6453.txt item: #692 of 1513 id: ojphi-6454 author: None title: ojphi-6454 date: 2016-03-02 words: 5023 flesch: -12 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; case; data; david; disease; disease surveillance; ebola; evaluation; evidence; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; pneumonia; review; state; surveillance; surveillance system; system; uncertainty; use cache: ojphi-6454.pdf plain text: ojphi-6454.txt item: #693 of 1513 id: ojphi-6455 author: None title: ojphi-6455 date: 2016-03-23 words: 5014 flesch: -25 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: anne; assessment; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health e; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; national; nigeria; outbreak; state; support; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6455.pdf plain text: ojphi-6455.txt item: #694 of 1513 id: ojphi-6456 author: None title: ojphi-6456 date: 2016-03-02 words: 4999 flesch: -21 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; biosense; data; david; department; disease; disease surveillance; ebola; emergency; essence; evaluation; fever; health; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; state; surveillance; surveillance data; surveillance system; syndrome; system; temperature; use cache: ojphi-6456.pdf plain text: ojphi-6456.txt item: #695 of 1513 id: ojphi-6457 author: None title: ojphi-6457 date: 2016-03-02 words: 5093 flesch: -30 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: air; anne; data; data sources; david; department; disease; disease surveillance; ebola; evaluation; gillian; government; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; passenger; sources; state; surveillance; surveillance data; surveillance system; system; travel; use cache: ojphi-6457.pdf plain text: ojphi-6457.txt item: #696 of 1513 id: ojphi-6458 author: None title: ojphi-6458 date: 2016-03-02 words: 5137 flesch: -14 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: anne; chronic; data; datasets; david; disease; disease surveillance; ebola; equity; evaluation; factors; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; quality; risk; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6458.pdf plain text: ojphi-6458.txt item: #697 of 1513 id: ojphi-6459 author: None title: ojphi-6459 date: 2016-03-02 words: 5076 flesch: -31 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; care; cases; childhood; data; david; diabetes; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; population; state; surveillance; surveillance data; surveillance system; system; usa; use cache: ojphi-6459.pdf plain text: ojphi-6459.txt item: #698 of 1513 id: ojphi-6460 author: None title: ojphi-6460 date: 2016-03-03 words: 5027 flesch: -40 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; case; city; data; david; disease; disease surveillance; ebola; evaluation; evd; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; nigeria; outbreak; physician; south; southern; state; surveillance; surveillance system; system; virus cache: ojphi-6460.pdf plain text: ojphi-6460.txt item: #699 of 1513 id: ojphi-6461 author: None title: ojphi-6461 date: 2016-03-03 words: 4933 flesch: -24 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; case; data; david; detection; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; measles; michael; nigeria; quality; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6461.pdf plain text: ojphi-6461.txt item: #700 of 1513 id: ojphi-6462 author: None title: ojphi-6462 date: 2016-03-03 words: 4938 flesch: -31 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; andrew; anne; custom; data; david; disease; disease surveillance; ebola; essence; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; project; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6462.pdf plain text: ojphi-6462.txt item: #701 of 1513 id: ojphi-6463 author: None title: ojphi-6463 date: 2016-03-03 words: 5072 flesch: -43 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: awareness; data; david; department; disease; disease surveillance; ebola; evaluation; government; health; health surveillance; hpai; illness; impact; influenza; information; john; laura; mark; mary; michael; national; nbic; outbreak; sharing; situational; state; surveillance; surveillance system; system; use cache: ojphi-6463.pdf plain text: ojphi-6463.txt item: #702 of 1513 id: ojphi-6464 author: None title: ojphi-6464 date: 2016-03-03 words: 5049 flesch: -30 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; data; david; detection; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laboratory; laura; mark; mary; methods; michael; monitoring; state; surveillance; surveillance data; surveillance system; syndrome; system; test; use cache: ojphi-6464.pdf plain text: ojphi-6464.txt item: #703 of 1513 id: ojphi-6465 author: None title: ojphi-6465 date: 2016-03-03 words: 5102 flesch: -8 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: aedes; anne; arizona; community; county; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; spp; state; surveillance; surveillance system; system; use; virus cache: ojphi-6465.pdf plain text: ojphi-6465.txt item: #704 of 1513 id: ojphi-6466 author: None title: ojphi-6466 date: 2016-03-03 words: 5144 flesch: -29 summary: ISDS 2015 Conference Abstracts Impact Assessment of a Terrorist Attack Using Syndromic Surveillance, France, 2015 Céline Caserio-Schönemann1, Marc Ruello1, Delphine Casamatta2, Guillaume Debaty3, Pascal Chansard4, Magali Bischoff5, Carlos El Khoury5, Philippe Pirard1, Anne Fouillet1 and Hervé Le Perff2 1French Institute for Public Health Surveillance, Saint Maurice, France; 2French Institute for Public Health Surveillance, Rhône-Alpes Régional Office, Lyon, France; 3Emergency department, University hospital of Grenoble, Grenoble, France; 4SOS Médecins France, Paris, France; 5RESUVAL, Vienne, France Objective To timely assess the potential health impact on the population living or working in a terrorist attack area using syndromic surveillance Introduction Since the terrorist attacks against the satirical newspaper Charlie Hebdo in January 2015, France has activated the highest level of its national anti-terrorist security plan. Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; anne; attack; data; david; disease; disease surveillance; ebola; emergency; evaluation; france; health; health surveillance; illness; impact; influenza; john; laura; mark; michael; médecins; population; sos; state; surveillance; surveillance system; system; terrorist; use; visits cache: ojphi-6466.pdf plain text: ojphi-6466.txt item: #705 of 1513 id: ojphi-6467 author: None title: ojphi-6467 date: 2016-03-03 words: 5091 flesch: -25 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: case; data; david; department; detection; disaster; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; lauren; mark; mary; media; michael; national; outbreak; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6467.pdf plain text: ojphi-6467.txt item: #706 of 1513 id: ojphi-6468 author: None title: ojphi-6468 date: 2016-03-03 words: 5050 flesch: -23 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; data; david; department; detection; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; lauren; mark; mary; media; michael; military; outbreak; public; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6468.pdf plain text: ojphi-6468.txt item: #707 of 1513 id: ojphi-6469 author: None title: ojphi-6469 date: 2016-03-03 words: 5097 flesch: -3 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: anne; collaboration; committee; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; model; state; surveillance; surveillance data; surveillance system; system; use; washington; washington state cache: ojphi-6469.pdf plain text: ojphi-6469.txt item: #708 of 1513 id: ojphi-6470 author: None title: ojphi-6470 date: 2016-04-14 words: 5132 flesch: -15 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: allison; anne; case; community; data; david; disease; disease surveillance; district; ebola; evaluation; evd; gillian; health; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; outbreak; reporting; state; surveillance; surveillance system; system; use; virus cache: ojphi-6470.pdf plain text: ojphi-6470.txt item: #709 of 1513 id: ojphi-6471 author: None title: ojphi-6471 date: 2016-03-03 words: 5162 flesch: -10 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: alerts; analysis; data; david; day; department; disease; disease surveillance; ebola; emergency; essence; evaluation; health; illness; impact; influenza; john; laura; mark; mary; michael; myocardial; state; study; surveillance; surveillance data; surveillance system; system; visits; week cache: ojphi-6471.pdf plain text: ojphi-6471.txt item: #710 of 1513 id: ojphi-6472 author: None title: ojphi-6472 date: 2016-03-03 words: 5157 flesch: -17 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: cases; community; data; david; department; disease; disease surveillance; ebola; emergency; ems; evaluation; health; heroin; illness; impact; influenza; john; laura; mark; mary; michael; outbreak; overdose; search; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6472.pdf plain text: ojphi-6472.txt item: #711 of 1513 id: ojphi-6473 author: None title: ojphi-6473 date: 2016-03-03 words: 5185 flesch: -27 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: data; david; department; disease; disease surveillance; disparities; ebola; ed data; emergency; evaluation; hdd; health; health disparities; health surveillance; illness; influenza; injury; john; laura; mark; michael; ndhhs; patient; surveillance; surveillance data; surveillance system; sys; sys data; system; time cache: ojphi-6473.pdf plain text: ojphi-6473.txt item: #712 of 1513 id: ojphi-6474 author: None title: ojphi-6474 date: 2016-03-03 words: 5065 flesch: -14 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; data; david; department; disease; disease surveillance; ebola; evaluation; foodborne; foodborne illness; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; media; michael; monitoring; outbreak; platform; reports; state; surveillance; surveillance system; system; time; use cache: ojphi-6474.pdf plain text: ojphi-6474.txt item: #713 of 1513 id: ojphi-6475 author: None title: ojphi-6475 date: 2016-03-03 words: 5095 flesch: -56 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? ISDS 2015 Conference Abstracts Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua NBIC/DHS, Bethesda, MD, USA Objective NBIC analysts evaluated the options and effectiveness of airport symptom-based health screening programs available during emerging disease outbreaks occurring outside the U.S. Introduction The National Biosurveillance Integration Center (NBIC) has the responsibility to integrate, analyze, and share the nation’s biosurveillance information provided from capabilities distributed across public and private sectors. keywords: andrew; anne; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; screening; state; surveillance; surveillance data; surveillance system; system; travel; u.s; use; virus cache: ojphi-6475.pdf plain text: ojphi-6475.txt item: #714 of 1513 id: ojphi-6476 author: None title: ojphi-6476 date: 2016-03-04 words: 5140 flesch: -39 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: cases; chief; chikungunya; complaint; data; david; diagnosis; disease; disease surveillance; ebola; evaluation; fever; health; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; reason; state; surveillance; surveillance data; surveillance system; syndromes; system; travel cache: ojphi-6476.pdf plain text: ojphi-6476.txt item: #715 of 1513 id: ojphi-6477 author: None title: ojphi-6477 date: 2016-03-04 words: 5036 flesch: -9 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; anne; canada; cases; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; lyme; mark; mary; michael; population; risk; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6477.pdf plain text: ojphi-6477.txt item: #716 of 1513 id: ojphi-6478 author: None title: ojphi-6478 date: 2016-03-04 words: 5086 flesch: -27 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: anne; behavior; burden; data; david; disease; disease surveillance; ebola; eric; evaluation; gillian; health; health surveillance; ili; illness; impact; influenza; john; laura; mark; mary; michael; population; public; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6478.pdf plain text: ojphi-6478.txt item: #717 of 1513 id: ojphi-6479 author: None title: ojphi-6479 date: 2016-03-04 words: 5153 flesch: -28 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; calls; cannabinoid; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; marijuana; mark; mary; michael; state; surveillance; surveillance data; surveillance system; synthetic; system; use cache: ojphi-6479.pdf plain text: ojphi-6479.txt item: #718 of 1513 id: ojphi-6480 author: None title: ojphi-6480 date: 2016-03-04 words: 5091 flesch: -29 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: data; david; disease; disease surveillance; ebola; evaluation; events; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; mortality; national; reporting; sharing; state; surveillance; surveillance data; surveillance system; system; whispers; wildlife; wildlife health cache: ojphi-6480.pdf plain text: ojphi-6480.txt item: #719 of 1513 id: ojphi-6481 author: None title: ojphi-6481 date: 2016-03-04 words: 5085 flesch: -18 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; data; david; discounting; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; level; mark; mary; michael; obesity; price; sales; soda; state; store; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6481.pdf plain text: ojphi-6481.txt item: #720 of 1513 id: ojphi-6482 author: None title: ojphi-6482 date: 2016-03-04 words: 5134 flesch: -27 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: care; care providers; data; david; disease; disease surveillance; ebola; evaluation; health; health care; health surveillance; illness; influenza; information; john; laura; mark; michael; monitoring; patient; providers; public; quality; sharing; shiip; state; surveillance; surveillance system; system; time; use cache: ojphi-6482.pdf plain text: ojphi-6482.txt item: #721 of 1513 id: ojphi-6483 author: None title: ojphi-6483 date: 2016-03-04 words: 5102 flesch: -30 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: activity; data; david; day; department; detection; disease; disease surveillance; ebola; effects; emergency; evaluation; gillian; health; health surveillance; holidays; illness; impact; influenza; john; laura; mark; mary; michael; state; surveillance; surveillance data; surveillance system; system; time; week cache: ojphi-6483.pdf plain text: ojphi-6483.txt item: #722 of 1513 id: ojphi-6484 author: None title: ojphi-6484 date: 2016-03-07 words: 5026 flesch: -43 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: case; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; ilinet; illness; impact; influenza; influenza surveillance; john; kansas; laura; mark; mary; michael; nssp; quality; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6484.pdf plain text: ojphi-6484.txt item: #723 of 1513 id: ojphi-6485 author: None title: ojphi-6485 date: 2016-03-04 words: 5190 flesch: -12 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 130 (page number not for citation purposes) ISDS 2015 Conference Abstracts A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 1Epidemiology, NYS Department of Health, Albany, NY, USA; 2NTT Data, Albany, NY, USA Objective Improved methods for user analysis of communicable disease surveillance data in New York State (NYS), excluding New York City (NYC). keywords: analysis; birth; case; cdess; county; data; david; disease; disease surveillance; ebola; evaluation; health; illness; impact; infant; influenza; information; john; laura; lhds; mark; mary; michael; new; state; surveillance; surveillance data; surveillance system; system; treatment; use cache: ojphi-6485.pdf plain text: ojphi-6485.txt item: #724 of 1513 id: ojphi-6486 author: None title: ojphi-6486 date: 2016-03-04 words: 5186 flesch: -27 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: data; david; department; disease; disease surveillance; ebola; essence; evaluation; evd; health; health surveillance; illness; impact; influenza; information; john; laboratory; laura; mark; mary; michael; military; patients; risk; screening; state; surveillance; surveillance system; system; use; virus cache: ojphi-6486.pdf plain text: ojphi-6486.txt item: #725 of 1513 id: ojphi-6487 author: None title: ojphi-6487 date: 2016-03-04 words: 5066 flesch: -44 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: content; coverage; data; david; disease; disease surveillance; ebola; evaluation; events; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; media; michael; national; public; sentimeter; state; surveillance; surveillance data; surveillance system; system; tool; use; vaccine cache: ojphi-6487.pdf plain text: ojphi-6487.txt item: #726 of 1513 id: ojphi-6488 author: None title: ojphi-6488 date: 2016-03-04 words: 5172 flesch: -40 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: adults; ahca; data; david; department; disease; disease surveillance; essence; evaluation; florida; health; illness; impact; influenza; john; laura; mark; michael; populations; risk; state; sub; surveillance; surveillance data; surveillance system; syndrome; system; time; use; visits; women cache: ojphi-6488.pdf plain text: ojphi-6488.txt item: #727 of 1513 id: ojphi-6489 author: None title: ojphi-6489 date: 2016-03-23 words: 5001 flesch: -28 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 French Institute for Public Health Surveillance, Saint-Maurice Cédex, France; 2SOS Médecins, Paris, France Objective To illustrate the complementarity and added value of the GP’s emergency network “SOS Médecins” through an example of an epidemic of gastroenteritis (GE). keywords: analysis; anne; case; data; david; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; médecins; national; public; sos; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6489.pdf plain text: ojphi-6489.txt item: #728 of 1513 id: ojphi-6490 author: None title: ojphi-6490 date: 2016-03-23 words: 4955 flesch: -21 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; illinois; illness; impact; influenza; john; laura; mark; mary; michael; national; quality; reports; state; surveillance; surveillance data; surveillance system; system; violence; visits cache: ojphi-6490.pdf plain text: ojphi-6490.txt item: #729 of 1513 id: ojphi-6491 author: None title: ojphi-6491 date: 2016-03-23 words: 5074 flesch: -27 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; events; health; health surveillance; illness; impact; influenza; john; laura; marijuana; mark; mary; michael; new; related; state; surveillance; surveillance system; system; use; virginia; visits cache: ojphi-6491.pdf plain text: ojphi-6491.txt item: #730 of 1513 id: ojphi-6492 author: None title: ojphi-6492 date: 2016-03-07 words: 5134 flesch: -5 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: case; codes; data; david; definitions; department; detect; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; icd-10; icd-9; illness; impact; influenza; john; laura; mark; mary; michael; state; surveillance; surveillance system; system; transition; use cache: ojphi-6492.pdf plain text: ojphi-6492.txt item: #731 of 1513 id: ojphi-6493 author: None title: ojphi-6493 date: 2016-03-07 words: 5098 flesch: -21 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; data; david; disease; disease surveillance; ebola; evaluation; health; ili; ilinet; illness; impact; influenza; john; laura; mark; mary; michael; patient; practices; registrations; state; surveillance; surveillance data; surveillance system; system; time; use; visits cache: ojphi-6493.pdf plain text: ojphi-6493.txt item: #732 of 1513 id: ojphi-6494 author: None title: ojphi-6494 date: 2016-03-07 words: 5039 flesch: -16 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: county; data; david; department; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; logic; mark; mary; mcdph; michael; model; national; program; state; surveillance; surveillance program; surveillance system; system; use; workgroup cache: ojphi-6494.pdf plain text: ojphi-6494.txt item: #733 of 1513 id: ojphi-6495 author: None title: ojphi-6495 date: 2016-03-07 words: 5010 flesch: -26 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: adhs; arizona; county; data; david; department; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; patient; records; state; surveillance; surveillance data; surveillance system; system; use; virus; visits cache: ojphi-6495.pdf plain text: ojphi-6495.txt item: #734 of 1513 id: ojphi-6496 author: None title: ojphi-6496 date: 2016-03-07 words: 5106 flesch: -11 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: activity; anne; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; ili; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; outbreak; school; state; surveillance; surveillance system; system; uscs; use; virus; visits cache: ojphi-6496.pdf plain text: ojphi-6496.txt item: #735 of 1513 id: ojphi-6497 author: None title: ojphi-6497 date: 2016-03-07 words: 5114 flesch: -28 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; data; david; disease; disease surveillance; ebola; evaluation; health; hiv; illness; impact; influenza; john; laura; mark; mary; michael; msm; msms; networking sites; partners; risk; sites; social; state; surveillance; surveillance data; surveillance system; system; use; white cache: ojphi-6497.pdf plain text: ojphi-6497.txt item: #736 of 1513 id: ojphi-6498 author: None title: ojphi-6498 date: 2016-03-07 words: 5119 flesch: -9 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: andrew; anne; case; data; david; detection; disease; disease surveillance; ebola; evaluation; ghana; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; outbreak; public; response; state; surveillance; surveillance system; system; use; virus cache: ojphi-6498.pdf plain text: ojphi-6498.txt item: #737 of 1513 id: ojphi-6499 author: None title: ojphi-6499 date: 2016-03-07 words: 4994 flesch: -23 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: animal; anne; calls; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; kristen; laura; mark; mary; michael; monitoring; risk; species; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6499.pdf plain text: ojphi-6499.txt item: #738 of 1513 id: ojphi-6500 author: None title: ojphi-6500 date: 2016-03-07 words: 5148 flesch: -29 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: care; data; data repositories; david; department; disease; disease surveillance; ebola; evaluation; health; health data; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; minnesota; population health; repositories; state; support; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6500.pdf plain text: ojphi-6500.txt item: #739 of 1513 id: ojphi-6501 author: None title: ojphi-6501 date: 2016-03-07 words: 5052 flesch: 0 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; hcv; health; hepatitis; illness; impact; influenza; john; laura; mark; mary; michael; prevention; public; state; surveillance; surveillance system; system; use; virus cache: ojphi-6501.pdf plain text: ojphi-6501.txt item: #740 of 1513 id: ojphi-6502 author: None title: ojphi-6502 date: 2016-03-07 words: 4745 flesch: -45 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: animals; anne; anthrax; cattle; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; national; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6502.pdf plain text: ojphi-6502.txt item: #741 of 1513 id: ojphi-6503 author: None title: ojphi-6503 date: 2016-03-07 words: 5122 flesch: -14 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; andrew; anne; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; households; illness; immunization; impact; influenza; information; john; kenya; laura; mark; mary; michael; state; surveillance; surveillance system; system; variables; visits cache: ojphi-6503.pdf plain text: ojphi-6503.txt item: #742 of 1513 id: ojphi-6504 author: None title: ojphi-6504 date: 2016-03-07 words: 5071 flesch: -27 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: awareness; bowl; county; data; david; department; detection; disease; disease surveillance; ebola; emergency; evaluation; events; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; public; situational; state; super; surveillance; surveillance data; surveillance system; system cache: ojphi-6504.pdf plain text: ojphi-6504.txt item: #743 of 1513 id: ojphi-6505 author: None title: ojphi-6505 date: 2016-03-07 words: 5042 flesch: -14 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 ISDS 2015 Conference Abstracts Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 1French Armed Forces Center for Epidemiology and Public Health, Marseille, France; 2UMR 912 SESSTIM, Aix Marseille University, Marseille, France; 3French Institute for Public Health Surveillance, Saint Maurice, France Objective Evaluate the performance of 8 statistical methods for outbreak detection in health surveillance with historical data. keywords: algorithms; anne; data; david; detection; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; methods; michael; monitoring; outbreak; outbreak detection; performance; state; surveillance; surveillance system; system; time; use cache: ojphi-6505.pdf plain text: ojphi-6505.txt item: #744 of 1513 id: ojphi-6506 author: None title: ojphi-6506 date: 2016-03-07 words: 5040 flesch: -41 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; assessment; center; data; david; disease; disease surveillance; ebola; emergency; epi; evaluation; health; health surveillance; illness; impact; influenza; information; john; kazakhstan; laura; mark; mary; michael; monitoring; national; new; risk; situational; state; surveillance; surveillance system; system cache: ojphi-6506.pdf plain text: ojphi-6506.txt item: #745 of 1513 id: ojphi-6507 author: None title: ojphi-6507 date: 2016-03-07 words: 5026 flesch: -36 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; data; david; decision; department; disease; disease surveillance; dod; ebola; essence; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; robert; sharing; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6507.pdf plain text: ojphi-6507.txt item: #746 of 1513 id: ojphi-6508 author: None title: ojphi-6508 date: 2016-03-07 words: 5161 flesch: -27 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; department; disease; disease surveillance; ebola; emergency; epicenter; evaluation; events; health; health surveillance; illness; impact; influenza; injuries; john; laura; mark; mary; michael; occupational; state; surveillance; surveillance data; surveillance system; system; time; use; visits; work cache: ojphi-6508.pdf plain text: ojphi-6508.txt item: #747 of 1513 id: ojphi-6509 author: None title: ojphi-6509 date: 2016-03-07 words: 5116 flesch: -21 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; data; david; department; disease; disease surveillance; ebola; ehars; evaluation; health; hiv; illness; impact; influenza; john; laura; mark; mary; michael; offices; open; package; public; software; state; state hiv; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6509.pdf plain text: ojphi-6509.txt item: #748 of 1513 id: ojphi-6510 author: None title: ojphi-6510 date: 2016-03-07 words: 5195 flesch: -16 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; data; david; disease; disease surveillance; ebola; emergency; evaluation; gpsm; health; health surveillance; heat; illness; impact; indicators; influenza; john; july; laura; mark; mary; michael; national; state; surveillance; surveillance system; system; visits; waves cache: ojphi-6510.pdf plain text: ojphi-6510.txt item: #749 of 1513 id: ojphi-6513 author: None title: ojphi-6513 date: 2016-03-08 words: 5122 flesch: -2 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; bangladesh; case; data; david; disease; disease surveillance; ebola; evaluation; fever; gillian; health; health surveillance; illness; impact; influenza; john; laura; leptospirosis; mark; mary; michael; outbreak; population; risk; state; surveillance; surveillance system; system; use cache: ojphi-6513.pdf plain text: ojphi-6513.txt item: #750 of 1513 id: ojphi-6514 author: None title: ojphi-6514 date: 2016-03-08 words: 4892 flesch: -39 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; cases; cdess; data; david; department; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; new; nysiis; state; surveillance; surveillance data; surveillance system; system; use; vaccine cache: ojphi-6514.pdf plain text: ojphi-6514.txt item: #751 of 1513 id: ojphi-6515 author: None title: ojphi-6515 date: 2016-03-08 words: 5120 flesch: -30 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: case; county; data; david; denver; department; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; illness; impact; influenza; john; laura; marijuana; mark; michael; mjcs; public; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6515.pdf plain text: ojphi-6515.txt item: #752 of 1513 id: ojphi-6516 author: None title: ojphi-6516 date: 2016-03-08 words: 4774 flesch: -53 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; polio; population; risk; state; surveillance; surveillance data; surveillance system; system; ukraine; use; virus cache: ojphi-6516.pdf plain text: ojphi-6516.txt item: #753 of 1513 id: ojphi-6517 author: None title: ojphi-6517 date: 2016-03-08 words: 4997 flesch: -28 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; counts; data; david; detection; disease; disease surveillance; ebola; evaluation; ewma; health; illness; impact; influenza; john; laura; mark; mary; method; michael; model; outbreak; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6517.pdf plain text: ojphi-6517.txt item: #754 of 1513 id: ojphi-6518 author: None title: ojphi-6518 date: 2016-03-08 words: 5043 flesch: -17 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; california; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; illness; impact; influenza; john; laura; mark; mary; michael; need; new; outbreak; point; state; surveillance; surveillance data; surveillance system; system; tests; use cache: ojphi-6518.pdf plain text: ojphi-6518.txt item: #755 of 1513 id: ojphi-6519 author: None title: ojphi-6519 date: 2016-03-08 words: 5042 flesch: -15 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; civilian; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; illness; impact; influenza; john; laura; malaria; mark; mary; michael; military; outbreaks; peak; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6519.pdf plain text: ojphi-6519.txt item: #756 of 1513 id: ojphi-6520 author: None title: ojphi-6520 date: 2016-03-08 words: 5131 flesch: -19 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: biosense; case; cdc; data; david; disease; disease surveillance; ebola; essence; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; national; platform; sas; sharing; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6520.pdf plain text: ojphi-6520.txt item: #757 of 1513 id: ojphi-6521 author: None title: ojphi-6521 date: 2016-03-08 words: 5040 flesch: -17 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; county; data; david; day; disease; disease surveillance; ebola; evaluation; health; health surveillance; hospital; illness; impact; influenza; john; laura; mark; mary; michael; new; patient; population; readmission; state; surveillance; surveillance system; system; time; use cache: ojphi-6521.pdf plain text: ojphi-6521.txt item: #758 of 1513 id: ojphi-6522 author: None title: ojphi-6522 date: 2016-03-08 words: 5123 flesch: -17 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; department; disease; disease surveillance; ebola; ed visits; emergency; evaluation; health; health surveillance; illness; impact; influenza; john; keywords; laura; mark; mary; michael; new; notes; state; surveillance; surveillance data; surveillance system; system; triage; triage notes; use; visits cache: ojphi-6522.pdf plain text: ojphi-6522.txt item: #759 of 1513 id: ojphi-6523 author: None title: ojphi-6523 date: 2016-03-08 words: 5060 flesch: -39 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: brooke; codes; data; david; definitions; disease; disease surveillance; ebola; evaluation; health; health surveillance; icd-10; icd-9; illness; impact; influenza; john; laura; mark; mary; michael; new; state; surveillance; surveillance data; surveillance system; system; transition; usa; use cache: ojphi-6523.pdf plain text: ojphi-6523.txt item: #760 of 1513 id: ojphi-6524 author: None title: ojphi-6524 date: 2016-03-10 words: 4956 flesch: -45 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: aids; analysis; art; data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; hiv; illness; impact; influenza; john; laura; mark; mary; michael; nigeria; number; state; surveillance; surveillance data; surveillance system; system; use; virus; women cache: ojphi-6524.pdf plain text: ojphi-6524.txt item: #761 of 1513 id: ojphi-6525 author: None title: ojphi-6525 date: 2016-03-10 words: 5068 flesch: -29 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: aids; aids surveillance; analysis; data; david; disease; disease surveillance; ebola; enugu; evaluation; health; health surveillance; hiv; illness; impact; influenza; john; laura; level; mark; mary; michael; nigeria; quality; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6525.pdf plain text: ojphi-6525.txt item: #762 of 1513 id: ojphi-6526 author: None title: ojphi-6526 date: 2016-03-10 words: 5104 flesch: -10 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; article; case; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; outbreak; state; surveillance; surveillance data; surveillance system; system; time; use; virus; wikipedia cache: ojphi-6526.pdf plain text: ojphi-6526.txt item: #763 of 1513 id: ojphi-6527 author: None title: ojphi-6527 date: 2016-03-10 words: 4831 flesch: -51 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: anne; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; island; john; laura; lyme; lyme disease; mark; mary; michael; michigan; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6527.pdf plain text: ojphi-6527.txt item: #764 of 1513 id: ojphi-6528 author: None title: ojphi-6528 date: 2016-03-10 words: 5110 flesch: -9 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: andrew; anne; case; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; histoplasmosis; illness; impact; influenza; john; laura; mark; mary; mdss; michael; michigan; state; surveillance; surveillance system; system; time; use cache: ojphi-6528.pdf plain text: ojphi-6528.txt item: #765 of 1513 id: ojphi-6529 author: None title: ojphi-6529 date: 2016-03-10 words: 4971 flesch: -6 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: anne; data; david; disease; disease surveillance; ebola; evaluation; food; gillian; health; health surveillance; hygiene; illness; impact; influenza; john; lanka; laura; mark; mary; michael; monitoring; sri; state; study; surveillance; surveillance system; system; use cache: ojphi-6529.pdf plain text: ojphi-6529.txt item: #766 of 1513 id: ojphi-6530 author: None title: ojphi-6530 date: 2016-03-10 words: 5080 flesch: -23 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; article; case; data; david; disease; disease surveillance; ebola; evaluation; forecasting; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; nicholas; state; surveillance; surveillance data; surveillance system; system; time; use; wikipedia cache: ojphi-6530.pdf plain text: ojphi-6530.txt item: #767 of 1513 id: ojphi-6531 author: None title: ojphi-6531 date: 2016-03-10 words: 5006 flesch: -37 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; anne; application; data; david; department; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; public; quality; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6531.pdf plain text: ojphi-6531.txt item: #768 of 1513 id: ojphi-6532 author: None title: ojphi-6532 date: 2016-03-10 words: 4732 flesch: -37 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; case; data; david; diphtheria; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; measles; michael; quality; reporting; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6532.pdf plain text: ojphi-6532.txt item: #769 of 1513 id: ojphi-6533 author: None title: ojphi-6533 date: 2016-03-10 words: 4938 flesch: -34 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: andrew; anna; anne; cdc; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; outbreak; review; state; support; surveillance; surveillance system; system; use; virus cache: ojphi-6533.pdf plain text: ojphi-6533.txt item: #770 of 1513 id: ojphi-6534 author: None title: ojphi-6534 date: 2016-03-10 words: 4883 flesch: -60 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; new; state; surveillance; surveillance system; system; teresa; time; use; visits; weather cache: ojphi-6534.pdf plain text: ojphi-6534.txt item: #771 of 1513 id: ojphi-6535 author: None title: ojphi-6535 date: 2016-03-10 words: 4847 flesch: -43 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; kazakhstan; laura; mark; mary; michael; milk; risk; samples; state; surveillance; surveillance system; system; use; virus cache: ojphi-6535.pdf plain text: ojphi-6535.txt item: #772 of 1513 id: ojphi-6536 author: None title: ojphi-6536 date: 2016-03-10 words: 5102 flesch: -29 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: alcohol; analysis; champaign; citations; community; county; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; illness; impact; influenza; john; laura; mark; mary; michael; number; population; state; surveillance; surveillance system; system; use; visits cache: ojphi-6536.pdf plain text: ojphi-6536.txt item: #773 of 1513 id: ojphi-6537 author: None title: ojphi-6537 date: 2016-03-11 words: 5092 flesch: -26 summary: Keywords Metadata; One Health Surveillance; Open Source; Data Sharing; One Health Research *Andrew G. Huff E-mail: andrewgeorgehuff@gmail.com Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 8(1):e121, 2016 Assessing the Usage of Dating Sites and Social Networking Sites in Newly Diagnosed HIV Positive Men Who Have Sex with Men (MSM) in Harris County, Texas, 2014 Najmus Abdullah*, Sudipa Biswas, Weilin Zhou, Hafeez Rehman, Salma Khuwaja and Raouf R. Arafat The Epidemiologic Charateristics, Healthcare Associated and Household Transmission Dynamics of EVD Outbreak in a South-Southern City of Nigeria Olawunmi O. Adeoye*1, Endie Waziri1, Uchenna Anebonam1, Ifeoma Nwaduito2, Pauline Green2, William Komakech3, Nnanna Onyekwere2, Gabriele Poggensee1 and Patrick M. Nguku1 Ebola Virus Disease Surveillance and Response Preparedness in Northern Ghana Martin N. Adokiya*1 and John Koku Awoonor-Williams2, 3 Somebody’s Poisoned the Waterhole: ASPCA Poison Control Center Data to Identify Animal Health Risks Kristen Alldredge*1, 3, Leah Estberg1, Cynthia Johnson1, Howard Burkom2 and Judy Akkina1 Minnesota e-Health Data Repositories: Assessing the Status, Readiness & Opportunities to Support Population Health Bree Allen*1, 2, Karen Soderberg1 and Martin LaVenture1 Evaluation of the Measles Case-Based Surveillance System in Kaduna State (2010-2012) in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; case; data; david; disease; disease surveillance; ebola; evaluation; health; health data; health surveillance; illness; impact; influenza; information; john; laura; mantle; mark; mary; michael; new; outbreak; public; sharing; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6537.pdf plain text: ojphi-6537.txt item: #774 of 1513 id: ojphi-6538 author: None title: ojphi-6538 date: 2016-03-11 words: 4816 flesch: -54 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; norovirus; ontario; outbreaks; public; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6538.pdf plain text: ojphi-6538.txt item: #775 of 1513 id: ojphi-6539 author: None title: ojphi-6539 date: 2016-03-11 words: 5068 flesch: -29 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; andrew; assays; data; david; department; detection; disease; disease surveillance; ebola; emergency; evaluation; fever; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; outbreak; state; surveillance; surveillance system; system; use; virus cache: ojphi-6539.pdf plain text: ojphi-6539.txt item: #776 of 1513 id: ojphi-6540 author: None title: ojphi-6540 date: 2016-03-11 words: 5034 flesch: -20 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; biosense; case; data; data sharing; david; department; disease; disease surveillance; ebola; evaluation; health; illness; impact; influenza; john; laura; mark; mary; michael; national; sharing; state; surveillance; surveillance data; surveillance system; sys; sys data; system; use; workshop cache: ojphi-6540.pdf plain text: ojphi-6540.txt item: #777 of 1513 id: ojphi-6541 author: None title: ojphi-6541 date: 2016-05-03 words: 5101 flesch: -12 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; data; david; dhis2; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; information; injury; injury surveillance; john; laura; mark; mary; michael; sri; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6541.pdf plain text: ojphi-6541.txt item: #778 of 1513 id: ojphi-6542 author: None title: ojphi-6542 date: 2016-03-11 words: 5083 flesch: -15 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: case; codes; data; david; department; detect; disease; disease surveillance; ebola; emergency; evaluation; health; illness; impact; influenza; injury; john; laura; mark; mary; michael; mvc; state; surveillance; surveillance system; system; text; use; visits cache: ojphi-6542.pdf plain text: ojphi-6542.txt item: #779 of 1513 id: ojphi-6543 author: None title: ojphi-6543 date: 2016-03-11 words: 5152 flesch: -26 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: animal; anne; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; practices; providers; research; savsnet; state; surveillance; surveillance data; surveillance system; system; time; use; veterinary cache: ojphi-6543.pdf plain text: ojphi-6543.txt item: #780 of 1513 id: ojphi-6544 author: None title: ojphi-6544 date: 2016-03-11 words: 4868 flesch: -31 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; data; data release; david; department; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; parameters; policy; programs; release; sharing; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6544.pdf plain text: ojphi-6544.txt item: #781 of 1513 id: ojphi-6545 author: None title: ojphi-6545 date: 2016-03-11 words: 5152 flesch: -25 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; case; data; david; department; detection; disease; disease surveillance; ebola; emergency; evaluation; events; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; state; surveillance; surveillance system; system; time; use; visits cache: ojphi-6545.pdf plain text: ojphi-6545.txt item: #782 of 1513 id: ojphi-6546 author: None title: ojphi-6546 date: 2016-03-11 words: 4989 flesch: -16 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: anne; data; david; disease; disease surveillance; ebola; empi; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; patient; patient records; population; records; sources; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6546.pdf plain text: ojphi-6546.txt item: #783 of 1513 id: ojphi-6547 author: None title: ojphi-6547 date: 2016-03-11 words: 4972 flesch: -38 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; data; david; department; detection; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; national; outbreak; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6547.pdf plain text: ojphi-6547.txt item: #784 of 1513 id: ojphi-6548 author: None title: ojphi-6548 date: 2016-03-11 words: 5077 flesch: -12 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; cancer; data; david; department; disease; disease surveillance; ebola; evaluation; ghana; health; illness; impact; influenza; information; john; kumasi; laura; mark; mary; michael; population; registration; registry; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6548.pdf plain text: ojphi-6548.txt item: #785 of 1513 id: ojphi-6549 author: None title: ojphi-6549 date: 2016-03-11 words: 5001 flesch: -42 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: anne; claims; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; korea; laura; mark; mary; michael; monitoring; national; nhi; reporting; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6549.pdf plain text: ojphi-6549.txt item: #786 of 1513 id: ojphi-6550 author: None title: ojphi-6550 date: 2016-03-24 words: 4905 flesch: -22 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: andrew; anne; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; hepatitis; illness; impact; infection; influenza; john; laura; mark; mary; michael; state; surveillance; surveillance data; surveillance system; system; use; virus; washington cache: ojphi-6550.pdf plain text: ojphi-6550.txt item: #787 of 1513 id: ojphi-6551 author: None title: ojphi-6551 date: 2016-03-24 words: 5149 flesch: -31 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: cases; data; david; dengue; disease; disease surveillance; ebola; emergency; evaluation; fever; health; health surveillance; hospital; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; patient; records; state; surveillance; surveillance system; system; use; visits cache: ojphi-6551.pdf plain text: ojphi-6551.txt item: #788 of 1513 id: ojphi-6552 author: None title: ojphi-6552 date: 2016-03-24 words: 5120 flesch: -28 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; andrew; anne; data; david; disease; disease surveillance; ebola; essence; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; new; state; surveillance; surveillance data; surveillance system; system; tool; use; visits cache: ojphi-6552.pdf plain text: ojphi-6552.txt item: #789 of 1513 id: ojphi-6553 author: None title: ojphi-6553 date: 2016-03-24 words: 5118 flesch: -21 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: anne; awareness; data; david; department; disease; disease surveillance; ebola; evaluation; factors; food; food safety; health; health surveillance; illness; impact; influenza; john; knowledge; laura; mark; mary; michael; nigeria; public; safety; state; surveillance; surveillance system; system; use cache: ojphi-6553.pdf plain text: ojphi-6553.txt item: #790 of 1513 id: ojphi-6554 author: None title: ojphi-6554 date: 2016-03-14 words: 5134 flesch: -17 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; anne; case; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; idsr; illness; impact; influenza; john; laura; mark; mary; michael; nigeria; outbreak; public; state; study; surveillance; surveillance system; system; use; virus cache: ojphi-6554.pdf plain text: ojphi-6554.txt item: #791 of 1513 id: ojphi-6555 author: None title: ojphi-6555 date: 2016-03-14 words: 5047 flesch: -22 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; island; john; koman; laura; mark; mary; michael; monitoring; outbreak; population; state; surveillance; surveillance system; system; use cache: ojphi-6555.pdf plain text: ojphi-6555.txt item: #792 of 1513 id: ojphi-6556 author: None title: ojphi-6556 date: 2016-03-14 words: 4919 flesch: -23 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; counts; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; nicholas; outbreak; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6556.pdf plain text: ojphi-6556.txt item: #793 of 1513 id: ojphi-6557 author: None title: ojphi-6557 date: 2016-03-14 words: 4969 flesch: -14 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; deaths; department; disease; disease surveillance; ebola; evaluation; health; illness; impact; influenza; influenza surveillance; john; laboratory; laura; mark; mary; michael; model; mortality; new; state; surveillance; surveillance data; surveillance system; system; time; type; use cache: ojphi-6557.pdf plain text: ojphi-6557.txt item: #794 of 1513 id: ojphi-6558 author: None title: ojphi-6558 date: 2016-03-14 words: 4940 flesch: -47 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; data; david; department; detection; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6558.pdf plain text: ojphi-6558.txt item: #795 of 1513 id: ojphi-6559 author: None title: ojphi-6559 date: 2016-03-14 words: 4851 flesch: -44 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; calls; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; national; nhs; pathogens; state; surveillance; surveillance system; system; use; virus cache: ojphi-6559.pdf plain text: ojphi-6559.txt item: #796 of 1513 id: ojphi-6561 author: None title: ojphi-6561 date: 2016-03-24 words: 5055 flesch: -22 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; data; david; depression; disease; disease surveillance; ebola; evaluation; evidence; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; population; state; surveillance; surveillance data; surveillance system; system; tweets; use cache: ojphi-6561.pdf plain text: ojphi-6561.txt item: #797 of 1513 id: ojphi-6562 author: None title: ojphi-6562 date: 2016-03-24 words: 5177 flesch: 6 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: adults; aids; analysis; data; david; disease; disease surveillance; ebola; evaluation; health; hiv; hiv testing; illness; impact; inequalities; influenza; john; laura; mark; mary; michael; national; prevalence; state; study; surveillance; surveillance system; system; tanzania; testing; use cache: ojphi-6562.pdf plain text: ojphi-6562.txt item: #798 of 1513 id: ojphi-6563 author: None title: ojphi-6563 date: 2016-03-24 words: 5125 flesch: -27 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: cases; completeness; data; david; department; disease; disease surveillance; ebola; elr; evaluation; health; houston; illness; implementation; influenza; information; john; laura; mark; maven; michael; patient; post; reporting; state; surveillance; surveillance data; surveillance system; system; timeliness; use cache: ojphi-6563.pdf plain text: ojphi-6563.txt item: #799 of 1513 id: ojphi-6564 author: None title: ojphi-6564 date: 2016-03-24 words: 4837 flesch: -43 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; data; david; disease; disease surveillance; ebola; edi; evaluation; foci; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; outbreak; state; surveillance; surveillance system; system; ukraine; use cache: ojphi-6564.pdf plain text: ojphi-6564.txt item: #800 of 1513 id: ojphi-6565 author: None title: ojphi-6565 date: 2016-03-24 words: 4924 flesch: -34 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; data; david; department; disease; disease surveillance; ebola; evaluation; flea; gillian; health; health surveillance; illness; impact; influenza; john; kazakhstan; laura; mark; mary; michael; state; surveillance; surveillance data; surveillance system; system; use; visits; work cache: ojphi-6565.pdf plain text: ojphi-6565.txt item: #801 of 1513 id: ojphi-6566 author: None title: ojphi-6566 date: 2016-03-24 words: 5126 flesch: -6 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: cases; cdi; clostridium; community; county; data; david; denver; department; difficile; disease; disease surveillance; ebola; evaluation; factors; health; illness; impact; influenza; john; laura; mark; mary; michael; public; risk; state; surveillance; surveillance system; system; use cache: ojphi-6566.pdf plain text: ojphi-6566.txt item: #802 of 1513 id: ojphi-6567 author: None title: ojphi-6567 date: 2016-03-24 words: 4931 flesch: -21 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: case; data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laboratory; laura; mark; mary; michael; national; nigeria; sentinel; sites; state; surveillance; surveillance data; surveillance system; system; use; virus cache: ojphi-6567.pdf plain text: ojphi-6567.txt item: #803 of 1513 id: ojphi-6568 author: None title: ojphi-6568 date: 2016-03-16 words: 5067 flesch: -1 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: adolescents; andrew; anne; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; india; inequalities; influenza; john; laura; mark; mary; michael; population; public; state; support; surveillance; surveillance system; system; use cache: ojphi-6568.pdf plain text: ojphi-6568.txt item: #804 of 1513 id: ojphi-6569 author: None title: ojphi-6569 date: 2016-03-16 words: 4908 flesch: -30 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; illness; impact; influenza; john; june; laura; mark; mary; michael; quality; robert; sales; signal; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6569.pdf plain text: ojphi-6569.txt item: #805 of 1513 id: ojphi-6570 author: None title: ojphi-6570 date: 2016-03-16 words: 5123 flesch: -26 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; caserio; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; french; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; new; quality; state; surveillance; surveillance data; surveillance system; system; transmission cache: ojphi-6570.pdf plain text: ojphi-6570.txt item: #806 of 1513 id: ojphi-6571 author: None title: ojphi-6571 date: 2016-03-16 words: 5023 flesch: -27 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: abcs; anne; data; david; department; disease; disease surveillance; ebola; elr; evaluation; gillian; health; health surveillance; hospital; illness; impact; influenza; information; john; laura; mark; mary; michael; pneumoniae; state; surveillance; surveillance system; susceptibility; system; use cache: ojphi-6571.pdf plain text: ojphi-6571.txt item: #807 of 1513 id: ojphi-6572 author: None title: ojphi-6572 date: 2016-03-16 words: 5058 flesch: -23 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; anne; case; community; data; david; disease; disease surveillance; ebola; ecr; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; phcp; platform; population; reporting; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6572.pdf plain text: ojphi-6572.txt item: #808 of 1513 id: ojphi-6573 author: None title: ojphi-6573 date: 2016-03-16 words: 5111 flesch: -20 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: biosense; data; data quality; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; illness; impact; influenza; john; laura; level; mark; mary; michael; quality; script; state; surveillance; surveillance data; surveillance system; system; use; variables; visits cache: ojphi-6573.pdf plain text: ojphi-6573.txt item: #809 of 1513 id: ojphi-6574 author: None title: ojphi-6574 date: 2016-03-16 words: 4818 flesch: -46 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; anne; data; david; department; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; outbreaks; people; quality; state; supply; surveillance; surveillance system; system; ukraine; use; water cache: ojphi-6574.pdf plain text: ojphi-6574.txt item: #810 of 1513 id: ojphi-6575 author: None title: ojphi-6575 date: 2016-03-17 words: 5028 flesch: -24 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; case; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; ili; illness; impact; influenza; john; laura; mark; mary; michael; nlp; processing; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6575.pdf plain text: ojphi-6575.txt item: #811 of 1513 id: ojphi-6576 author: None title: ojphi-6576 date: 2016-03-17 words: 5154 flesch: -32 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: animal; anne; data; david; detection; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; model; outbreak; risk; state; surveillance; surveillance data; surveillance system; system; time; use; veterinary cache: ojphi-6576.pdf plain text: ojphi-6576.txt item: #812 of 1513 id: ojphi-6578 author: None title: ojphi-6578 date: 2016-03-17 words: 5129 flesch: -30 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; new; nyc; patients; practices; query; query health; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6578.pdf plain text: ojphi-6578.txt item: #813 of 1513 id: ojphi-6580 author: None title: ojphi-6580 date: 2016-03-17 words: 4835 flesch: -65 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; andrew; anne; case; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; india; influenza; john; laura; mark; mary; michael; monitoring; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6580.pdf plain text: ojphi-6580.txt item: #814 of 1513 id: ojphi-6581 author: None title: ojphi-6581 date: 2016-03-17 words: 5099 flesch: -24 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: 2015; anne; brooke; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; influenza surveillance; john; laura; mark; mary; mers; michael; novel; practitioners; state; surveillance; surveillance data; surveillance system; system; use; virus cache: ojphi-6581.pdf plain text: ojphi-6581.txt item: #815 of 1513 id: ojphi-6582 author: None title: ojphi-6582 date: 2016-03-17 words: 5118 flesch: -20 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: analysis; andrew; canada; cases; data; david; disease; disease surveillance; ebola; endemic; evaluation; factors; giardiasis; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; risk; state; surveillance; surveillance system; system; travel; use cache: ojphi-6582.pdf plain text: ojphi-6582.txt item: #816 of 1513 id: ojphi-6583 author: None title: ojphi-6583 date: 2016-03-18 words: 5017 flesch: -39 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; community; data; david; deaths; disease; disease surveillance; ebola; evaluation; evd; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; reporting; response; sections; state; structures; surveillance; surveillance system; system; use; virus cache: ojphi-6583.pdf plain text: ojphi-6583.txt item: #817 of 1513 id: ojphi-6584 author: None title: ojphi-6584 date: 2016-03-18 words: 4739 flesch: -44 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; anthrax; data; david; disease; disease surveillance; ebola; evaluation; foci; georgia; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; national; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6584.pdf plain text: ojphi-6584.txt item: #818 of 1513 id: ojphi-6585 author: None title: ojphi-6585 date: 2016-03-18 words: 5102 flesch: -4 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; andrew; anne; case; dashboard; data; david; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; media; michael; situational; state; surveillance; surveillance system; system; tweets; use cache: ojphi-6585.pdf plain text: ojphi-6585.txt item: #819 of 1513 id: ojphi-6586 author: None title: ojphi-6586 date: 2016-03-18 words: 5126 flesch: -8 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: anne; cases; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; legionellosis; mark; mary; michael; michigan; quality; reporting; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6586.pdf plain text: ojphi-6586.txt item: #820 of 1513 id: ojphi-6587 author: None title: ojphi-6587 date: 2016-03-18 words: 5121 flesch: -15 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: accident; analysis; andrew; anne; data; david; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; illness; impact; influenza; john; laura; mark; mary; michael; national; response; road; service; state; surveillance; surveillance system; system; use cache: ojphi-6587.pdf plain text: ojphi-6587.txt item: #821 of 1513 id: ojphi-6588 author: None title: ojphi-6588 date: 2016-03-18 words: 5011 flesch: -20 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: alerts; anne; data; david; department; detection; disease; disease surveillance; ebola; essence; evaluation; gillian; health; illness; impact; influenza; john; laura; mark; mary; michael; outbreak; praedico; state; surveillance; surveillance system; system; use cache: ojphi-6588.pdf plain text: ojphi-6588.txt item: #822 of 1513 id: ojphi-6589 author: None title: ojphi-6589 date: 2016-03-18 words: 5027 flesch: -21 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; awareness; case; data; david; detection; disease; disease surveillance; ebola; evaluation; health; illness; impact; influenza; information; john; laura; mark; mary; michael; outbreak; pathogens; properties; situational; state; surveillance; surveillance system; system; time; tool cache: ojphi-6589.pdf plain text: ojphi-6589.txt item: #823 of 1513 id: ojphi-6590 author: None title: ojphi-6590 date: 2016-03-24 words: 5057 flesch: -17 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 ISDS 2015 Conference Abstracts Interest of Prospective Spatio-Temporal Analysis from ED Data to Detect Unusual Health Events Pascal Vilain*, Sébastien Cossin and Laurent Filleul French Institute for Public Health Surveillance, Saint-Denis Cedex 9, Réunion Objective To present the implementation and the first results of a prospective spatio-temporal analysis from emergency department (ED) data in Reunion Island. keywords: analysis; anne; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; outbreak; state; surveillance; surveillance system; system; temporal; time; use; visits cache: ojphi-6590.pdf plain text: ojphi-6590.txt item: #824 of 1513 id: ojphi-6591 author: None title: ojphi-6591 date: 2016-03-24 words: 5113 flesch: -19 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; andrew; data; data quality; david; department; disease; disease surveillance; ebola; epicenter; evaluation; health; illness; impact; influenza; john; laura; mark; mary; michael; models; new; quality; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6591.pdf plain text: ojphi-6591.txt item: #825 of 1513 id: ojphi-6592 author: None title: ojphi-6592 date: 2016-03-21 words: 5005 flesch: -14 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Pilipenko, N.A. Popova and E.A. Egorova A Tool to Improve Communicable Disease Surveillance Data Candace M. Noonan-Toly*1, Charles DiDonato2 and Hwa-Gan Chang1 Flea-Borne Rickettsiae in Almaty Oblast, Kazakhstan Talgat Nurmakhanov1, Yerlan Sansyzbayev1, Heidi St. John2, Christina Farris2 and Allen Richards2 Denver County Clostridium difficile Trends and Associated Risk Factors 2011-2013 Anna D. Oberste*1, Kathryn H. DeYoung1, Helen Johnston2, Stephanie Gravitz1, Emily McCormick1 and Arthur Davidson1 Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014 Amaka P. Onyiah*1, 2, Muhammad S. Balogun1, Adebayo A. Adedeji2 and Patrick M. Nguku1 Ebola Virus Disease Outbreak in Lagos, Nigeria; 2014: an Epidemiological Investigation Folasade F. Osundina*, Abisola Oladimeji, Olufemi Ajumobi, Saheed Gidado, Adebola T. Olayinka and Patrick M. Nguku Cancer Health Disparities in Southeastern Wisconsin Yi Ou* Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents Priyanka Parmar*1, Manu R. Mathur1, Georgios Tsakos2 and Richard G. Watt2 Investigating a Syndromic Surveillance Signal with Complimentary Data Systems Hilary B. Parton*, Robert Mathes, Jasmine Abdelnabi, Lisa Alleyne, Andrea Econome, Robert Fitzhenry, Kristen Forney, Megan Halbrook, Stephanie Ngai and Don Weiss Use of Electronic Health Records to Determine the Impact of Ebola Screening Julie A. Pavlin*1, Gosia Nowak2, Aaron Kite-Powell3, Lindsey Beaman1 and Timothy Whitman4 Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype Eric R. Peterson*, Vasudha Reddy, HaeNa Waechter, Lan Li, Kristen Forney and Sharon K. Greene Factors Influencing the Stability and Quality of the French ED Surveillance System Isabelle Pontais*, Vanina Bousquet, Marc Ruello, Céline Caserio-Schönemann and Anne Fouillet Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter Guido A. Powell*1, Kate Zinszer1, Aman D. Verma1, Lawrence C. Madoff3, Chi Bahk2, John S. Brownstein4 and David Buckeridge1 Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study Jonathan Purtle*2, Robert Field1, Esther Chernak1, Tom Hipper1 and Jillian Nash1 Susceptibility Profile of Drug-Resistant Streptococcus pneumoniae Based on ELR Avi Raju*, Eunice R. Santos, Eric V. Bakota, Biru Yang and Raouf R. Arafat Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures Michael J. Ray*1, Michael Y. Lin2 and William Trick2 keywords: alcohol; county; data; david; days; department; disease; disease surveillance; ebola; emergency; evaluation; football; health; illness; impact; influenza; john; laura; mark; michael; monitoring; ohio; population; state; surveillance; surveillance system; system; use; visits cache: ojphi-6592.pdf plain text: ojphi-6592.txt item: #826 of 1513 id: ojphi-6593 author: None title: ojphi-6593 date: 2016-03-21 words: 5119 flesch: -26 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: arizona; biosense; cases; county; data; david; department; disease; disease surveillance; ebola; evaluation; health; heat; hri; illness; impact; influenza; john; laura; maricopa; mark; mary; michael; query; records; state; surveillance; surveillance system; system; terms cache: ojphi-6593.pdf plain text: ojphi-6593.txt item: #827 of 1513 id: ojphi-6594 author: None title: ojphi-6594 date: 2016-03-21 words: 4958 flesch: -39 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: data; david; department; disease; disease surveillance; ebola; emergency; essence; evaluation; florida; health; health surveillance; illness; impact; influenza; john; laura; marijuana; mark; mary; michael; query; state; surveillance; surveillance data; surveillance system; system; use; visits cache: ojphi-6594.pdf plain text: ojphi-6594.txt item: #828 of 1513 id: ojphi-6595 author: None title: ojphi-6595 date: 2016-03-21 words: 4959 flesch: -26 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; cases; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; korea; laura; level; mark; mary; michael; national; state; surveillance; surveillance data; surveillance system; system; time; use cache: ojphi-6595.pdf plain text: ojphi-6595.txt item: #829 of 1513 id: ojphi-6596 author: None title: ojphi-6596 date: 2016-03-21 words: 5051 flesch: -35 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; case; community; data; david; disease; disease surveillance; ebola; evaluation; evd; health; health surveillance; illness; impact; influenza; john; laura; malaria; mark; mary; michael; patient; phus; recording; reporting; state; surveillance; surveillance system; system; use; virus cache: ojphi-6596.pdf plain text: ojphi-6596.txt item: #830 of 1513 id: ojphi-6597 author: None title: ojphi-6597 date: 2016-03-23 words: 5118 flesch: -16 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: andrew; anne; azerbaijan; data; david; department; disease; disease surveillance; ebola; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; lsd; mark; mary; michael; outbreak; pcr; skin; state; surveillance; surveillance system; system; use; virus cache: ojphi-6597.pdf plain text: ojphi-6597.txt item: #831 of 1513 id: ojphi-6598 author: None title: ojphi-6598 date: 2016-03-23 words: 5012 flesch: -33 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: anne; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; notes; state; surveillance; surveillance data; surveillance system; system; triage; triage notes; use cache: ojphi-6598.pdf plain text: ojphi-6598.txt item: #832 of 1513 id: ojphi-6599 author: None title: ojphi-6599 date: 2016-03-23 words: 5078 flesch: -58 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 ISDS 2015 Conference Abstracts Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 1Division of Health Informatics and Surveillance, Centers for Disease Control & Prevention, Atlanta, GA, USA; 2Communicable Disease Epidemiology & Immunizations Section, Public Health – Seattle & King County, Seattle, WA, USA; 3Division of Integrated Biosurveillance, Armed Forces Health Surveillance Center, Baltimore, MD, USA; 4International Society of Disease Surveillance, Brighton, MA, USA; 5Council of State and Territorial Epidemiologists, Atlanta, GA, USA; 6Infectious Disease Clinical Research Program and Henry M Jackson Foundation, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; 7New Hampshire Department of Health & Human Services, Concord, NH, USA Objective This roundtable will provide a forum for the syndromic surveillance Community of Practice (CoP) to discuss the public health impacts from the ICD-10-CM conversion, and to support jurisdictional public health practices with this transition. keywords: anne; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; gillian; health; health surveillance; icd-10; illness; impact; influenza; john; laura; mark; mary; michael; monitoring; state; surveillance; surveillance data; surveillance system; system; transition; usa; use cache: ojphi-6599.pdf plain text: ojphi-6599.txt item: #833 of 1513 id: ojphi-6600 author: None title: ojphi-6600 date: 2016-03-23 words: 4751 flesch: -56 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; case; community; data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; knowledge; laura; management; mark; mary; michael; monitoring; quality; state; surveillance; surveillance data; surveillance system; system; tools; use cache: ojphi-6600.pdf plain text: ojphi-6600.txt item: #834 of 1513 id: ojphi-6601 author: None title: ojphi-6601 date: 2016-03-23 words: 5037 flesch: -41 summary: in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? keywords: analysis; data; david; department; disease; disease surveillance; ebola; emergency; evaluation; health; health surveillance; illness; impact; influenza; information; john; laura; mark; mary; michael; monitoring; public; state; surveillance; surveillance data; surveillance system; system; time; tools; use cache: ojphi-6601.pdf plain text: ojphi-6601.txt item: #835 of 1513 id: ojphi-6602 author: None title: ojphi-6602 date: 2016-03-23 words: 5113 flesch: -33 summary: Celestine A. Ameh*2, Muawiyyah B. Sufiyan1, Matthew Jacob3, Endie Waziri2 and Adebola T. Olayinka1 Integrating R into ESSENCE to Enable Custom Data Analysis and Visualization Jonathan Arbaugh and Wayne Loschen* Refocusing Hepatitis C Prevention Through Geographic Viral Load Analyses Ryan M. Arnold*, Biru Yang, Qi Yu and Raouf R. Arafat A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases John M. Aronis*, Nicholas E. Millett, Michael M. Wagner, Fuchiang Tsui, Ye Ye and Gregory F. Cooper An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages Noam H. Arzt* and Srinath Remala Role of Animal Identification and Registration in Anthrax Surveillance Zviad Asanishvili, Tsira Napetvaridze, Otar Parkadze, Lasha Avaliani, Ioseb Menteshashvili and Jambul Maglakelidze Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015 David Atrubin*, Scott Bowden and Janet J. Hamilton Situational Awareness of Childhood Immunization in Kenya Toluwani E. Awoyele*2, 1, Meenal Pore1 and Skyler Speakman1 Surveillance for Mass Gatherings: Super Bowl XLIX in Maricopa County, Arizona, 2015 Aurimar Ayala*, Vjollca Berisha and Kate Goodin Estimating FluNearYou Correlation to ILINet at Different Levels of Participation Eric V. Bakota*, Eunice R. Santos and Raouf R. Arafat Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study Gabriel Bedubourg*1, 2 and Yann Le Strat3 Modernization of Epi Surveillance in Kazakhstan: Transition to Risk Assessment and Real-Time Monitoring Based on Situational Center Zhandarbek Bekshin2, Aizhan Esmagambetova2, Stanislav Kazakov3, Alexry Burdakov*1, Damir Kobzhasarov2 and Andrey Ukharov1 Analysis of Alternatives for Combined and/or Collaborative Syndromic Surveillance Within DoD and VA Robert E. Bell*1, Mark Holodniy2 and Julie A. Pavlin3 Utility of Syndromic Surveillance in Detecting Potential Human Exposures to Rabies Kelley Bemis*, Megan T. Patel, Mabel Frias and Demian Christiansen Disproportionate Emergency Room Use as an Indicator of Community Health Kelley Bemis*, Samantha Gray, Megan T. Patel and Demian Christiansen Is There a Need for One Health Surveillance (OHS)? in Milk, Kazakhstan John Hay1, Christina Farris2, Phil Elzer3, Alexei Andrushchenko4, Sue Hagius3, Allen Richards2 and Timur Ayazbayev4 Emerging Infectious Diseases and Health Surveillance at U.S. Air Travel Ports of Entry: Perspective From Within the Department of Homeland Security Andrew Hickey*, Diana Y. Wong, Tyann Blessington, Asher Grady, Chandra Lesniak, Sarah Cheeseman Barthel, Scott Teper, William Bilado, Jayme Henenfent, Tiana Garrett, Neil Bonzagni, Mark Freese and Teresa Quitugua Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance Peter Hicks1, Julie A. Pavlin6, Atar Baer2, David J. Swenson*7, Rebecca Lampkins5, Achala U. Jayatilleke1, Aaron Kite-Powell3, Brooke Evans4 and Laura Streichert4 An Exploration of Public Events and Alcohol Related Incidents Briana A. Holliday* Mantle: An Open Source Platform for One Health Biosurveillance and Research Andrew G. Huff*1, 2 and Toph Allen1 Augmenting Surveillance to Minimize the Burden of Norovirus-Like Illness in Ontario: Using TeleHealth Ontario Data to Detect the Onset of Community Activity Stephanie L. Hughes* and Andrew Papadopoulos Product Landscape of Rapid Diagnostic Tests for Viral Hemorrhagic Fever Pathogens Noah Hull*2, Andrew Hickey1 and Teresa Quitugua1 keywords: analysis; biosense; cdc; community; data; david; disease; disease surveillance; ebola; evaluation; health; health surveillance; illness; impact; influenza; john; laura; mark; mary; michael; national; nssp; platform; program; quality; state; surveillance; surveillance data; surveillance system; system; use cache: ojphi-6602.pdf plain text: ojphi-6602.txt item: #836 of 1513 id: ojphi-6643 author: None title: ojphi-6643 date: 2016-09-14 words: 5063 flesch: 59 summary: When we computed the percentage of different birth months among those who had the outcome (i.e., using column percent in place of row percent), the same highest months were observed. *Highest month (vs. rest as binary variable) is selected post-hoc, so results may suffer optimism bias. keywords: age; association; beholder; birth; birth month; data; disease; health; hypertension; informatics; meaningfulness; month; risk cache: ojphi-6643.pdf plain text: ojphi-6643.txt item: #837 of 1513 id: ojphi-6719 author: Journal name - tbd title: ojphi-6719 date: 2016-09-14 words: 4163 flesch: 54 summary: In looking for ways to better collect survey data, we developed a technology solution consisting of a Web-based self-report data http://ojphi.org/ Avatar Web-Based Self-Report Survey System Technology for Public Health Research: Technical Outcome Results and Lessons Learned Online Journal of Public Health Informatics * Since survey participants were young people, we expected mobile browsers, especially iPhones or iPads, to be factored in. keywords: data; health; participants; public; report; research; self; survey; system; web cache: ojphi-6719.pdf plain text: ojphi-6719.txt item: #838 of 1513 id: ojphi-6720 author: Holy Akwar title: Development of a Standardized Tool for Prioritization of Information Sources date: 2016-09-14 words: 5170 flesch: 44 summary: 64.7% Agreement Removing EurekAl from information sources: Overall Fleiss Kappa = 0.725 = 72.5% Agreement http://ojphi.org/ Development and Validation of a Standardized Tool for Prioritization of Information Sources Online Journal of Public Health Informatics Development of a Standardized Tool for Prioritization of Information Sources Development and Validation of a Standardized Tool for Prioritization of Information Sources Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 8(2):e187, 2016 OJPHI Development and Validation of a Standardized Tool for Prioritization of Information Sources Holy Akwar1, Harold Kloeze2, and Shamir Mukhi1 1. keywords: agreement; criteria; doi; fleiss; health; information; information sources; kappa; raters; sources; tool cache: ojphi-6720.pdf plain text: ojphi-6720.txt item: #839 of 1513 id: ojphi-6722 author: wmo7 title: None date: 2016-09-14 words: 6242 flesch: 47 summary: However, the FGD and observations indicated that staff manually tallied HIV indicator data from several registers to compile the MOH reporting form before Automating indicator data reporting from health facility EMR to a national aggregate data system in Kenya: Additionally, increasing the focus on automated indicator data reporting may facilitate the development of internationally recognized data exchange standards for aggregate data, which is fundamental to monitoring global health outcomes and impact. keywords: data; dhis2; emr; facility; field; health; indicator; kenya; manual; national; process; reporting; system; test cache: ojphi-6722.pdf plain text: ojphi-6722.txt item: #840 of 1513 id: ojphi-6733 author: None title: ojphi-6733 date: 2016-09-14 words: 10322 flesch: 49 summary: Socioeconomic status scores for the census metropolitan area of Guelph produced from the substitution 2006 Census income variables with 2005 taxfiler income variables when using all principal components with eigenvalues greater than 1.0 and a proportion of explained variance greater than 10% (‘PCs >1.0’) versus using only the first principal component (‘PC1’). These SES Score distributions produced were compared to the distributions produced by the ‘first PC method’ and the ‘eigenvalue >1.0 method’ to assess the effect of non-income variables on SES level. keywords: analysis; census; component; data; health; income; low; neighbourhoods; priority; profile; services; ses; status; taxfiler; variables cache: ojphi-6733.pdf plain text: ojphi-6733.txt item: #841 of 1513 id: ojphi-6802 author: Hale Zerrin Toklu title: ojphi-6802 date: 2016-09-14 words: 1982 flesch: 43 summary: Why do we need pharmacists in pharmacovigilance systems? Why do we need pharmacists in pharmacovigilance systems? keywords: care; drug; health; pharmacists; pharmacovigilance; pharmacy; systems cache: ojphi-6802.pdf plain text: ojphi-6802.txt item: #842 of 1513 id: ojphi-6809 author: University of South Australia title: ojphi-6809 date: 2016-09-14 words: 3213 flesch: 32 summary: This paper describes the method that was undertaken within the Public Health Research Data Management System (PHReDMS) to map medication data retrieved from individual patient health records for population health researcher’s use. We demonstrate the utilisation of abstraction network methodology to examine medication data from electronic medical records to allow a compact and more easily understandable view of its content. keywords: abstraction; data; health; informatics; journal; medication; network; phredms; population; research; researchers; terminology cache: ojphi-6809.pdf plain text: ojphi-6809.txt item: #843 of 1513 id: ojphi-6845 author: Dr. Basema Saddik title: ojphi-6845 date: 2016-12-24 words: 6315 flesch: 45 summary: Keywords: PHR adoption, Challenges affecting PHR adaption, PHR challenges, PHR barriers, Personal Health Record, PHR Correspondence: basema.saddik@gmail.com, aljohara_jes@hotmail.com DOI: 10.5210/ojphi.v8i3.6845 http://ojphi.org/ OJPHI Perceived challenges for adopting the Personal Health Record (PHR) at Ministry of National Guard Health Affairs (MNGHA) – Riyadh 2 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 8(3):e205, 2016 Objectives: This study, being the first of its kind in Saudi Arabia, investigates the perceived barriers and /or challenges for PHR adoption in the Ministry of National Guard Health Affairs (MNGHA). keywords: adoption; challenges; health; information; mngha; national; participants; patients; personal; phr; record; riyadh; study cache: ojphi-6845.pdf plain text: ojphi-6845.txt item: #844 of 1513 id: ojphi-6902 author: None title: ojphi-6902 date: 2016-12-24 words: 13056 flesch: 43 summary: The consultancy featured here focused on improving predictions of asthma exacerbation risk in demographic and geographic subdivisions of the city of Boston, Massachusetts, USA based on the combination of known risk factors for which evidence is routinely available. ISSN 1947-2579 * http://ojphi.org * 8(3):e199, 2016 OJPHI Figure 1: Effect theory diagram summarizing elements of the exacerbation risk prediction problem for enhanced public health response Case-Crossover Logistic Regression Model Basic Concept: Raun and Ensor developed a model of asthma exacerbation risk in Houston, Texas from air quality measures [30] and have further extended this model to forecast days with increased risk of asthma exacerbation in Houston. keywords: air; asthma; asthma exacerbation; boston; consultancy; cross; data; exacerbation; exacerbation risk; factors; health; health informatics; http://ojphi.org/; informatics; interventions; issn; journal; model; modeling; online; predictions; public; pubmed; quality; risk; school; surveillance; system; use; weather cache: ojphi-6902.pdf plain text: ojphi-6902.txt item: #845 of 1513 id: ojphi-6906 author: None title: ojphi-6906 date: 2016-12-24 words: 8608 flesch: 41 summary: This paper examines nursing homes, using Google review ratings as well as a maximum entropy classifier trained to recognize indications of elder abuse in text. This suggests that as the popularity of PRWs increases, the validity of online review data in assessing nursing homes will increase correspondingly. keywords: abuse; care; classifier; correlation; data; deficiencies; deficiency; google; health; homes; nursing; providers; quality; ratings; reviews; study cache: ojphi-6906.pdf plain text: ojphi-6906.txt item: #846 of 1513 id: ojphi-6937 author: None title: ojphi-6937 date: 2017-03-08 words: 5960 flesch: 44 summary: A technology for public health event monitoring and early warning signal detection 3 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 8(3):e208, 2016 collaborative networks of public health practitioners for the verification and dissemination of early warning signals [3]. OJPHI KIWI: A technology for public health event monitoring and early warning signal detection 1 Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 8(3):e208, 2016 KIWI: A technology for public health event monitoring and early warning signal detection Shamir Mukhi 1 , Ellie Andres 1 , Bryan Demianyk 1 , Ben Gammon 1 , Harold Kloeze 2 1. Canadian Network for Public Health Intelligence, National Microbiology Laboratory, Winnipeg, Manitoba 2. keywords: aiss; detection; event; health; iips; kiwi; public; surveillance; technology; warning; zoonotic cache: ojphi-6937.pdf plain text: ojphi-6937.txt item: #847 of 1513 id: ojphi-6977 author: None title: ojphi-6977 date: 2016-12-23 words: 7307 flesch: 52 summary: The MRC volunteers quickly ascertained that their shelter population was mostly comprised of persons with medical needs including insulin, oxygen, adult diapering, wheel chair assistance, and intellectual developmental issues. Medical Needs: requires skilled nursing or medical care to maintain physical or mental health and stability as compromised by medical conditions (may be chronic, acute, or exacerbated by the disaster). keywords: anthrax; bioterrorism; care; cohort; dispensing; event; general; health; medical; needs; persons; population; public; service; station; times cache: ojphi-6977.pdf plain text: ojphi-6977.txt item: #848 of 1513 id: ojphi-7000 author: Feygele Jacobs title: ojphi-7000 date: 2016-12-23 words: 6092 flesch: 45 summary:  Health center data completeness: Do health center data meet the criteria for all mandatory data items? What are the implications of problematic data quality on operational capacity?4 To address these questions and help community health center organizations plan for future use and integration of contemporary analytics, several health center organizations were recruited to engage in a project to evaluate:  Health center data accuracy: Do health center data systems ensure correct values and consistent formats for data? keywords: analytics; centers; community; data; deployment; ehr; health; healthcare; obesity; organizations; population; quality; results cache: ojphi-7000.pdf plain text: ojphi-7000.txt item: #849 of 1513 id: ojphi-7011 author: jmowery@mitre.org title: ojphi-7011 date: 2016-12-24 words: 6812 flesch: 47 summary: Results: Twitter flu surveillance erroneously indicated a typical flu season during 2011-2012, even though the flu season peaked three months late, and erroneously indicated plateaus of flu tweets before the 2012-2013 and 2013-2014 flu seasons. A rough estimate indicates that approximately 40% of flu tweets reflected misdiagnoses. keywords: counts; data; estimates; flu; health; influenza; metric; misdiagnosis; noise; patterns; season; surveillance; tweets; twitter cache: ojphi-7011.pdf plain text: ojphi-7011.txt item: #850 of 1513 id: ojphi-7052 author: None title: ojphi-7052 date: 2016-12-23 words: 6124 flesch: 54 summary: Using a logically constructed ontology of health care policies based on the common bodies of knowledge as a lens, we map the current policies to reveal their ‘bright’, ‘light’, and ‘blind/blank’ spots. It can provide feedback on the current policies and feed-forward to future ones (8). Ontology of Health Care Policies The ontology of health care policy represents our conceptualization of the health care policy domain (9). keywords: analysis; care; care policies; china; elements; focus; health; health care; national; ontology; policies; policy; population cache: ojphi-7052.pdf plain text: ojphi-7052.txt item: #851 of 1513 id: ojphi-7055 author: University of South Australia title: ojphi-7055 date: 2016-12-21 words: 2891 flesch: 50 summary: Capturing multiple addresses and allowing for different levels of address quality appears to capture Aboriginal and Torres Strait Islander addresses in a culturally appropriate way. Darwin: Cooperative Research Centre for Aboriginal Health, 2004 12. keywords: aboriginal; address; birth; data; health; islander; research; torres cache: ojphi-7055.pdf plain text: ojphi-7055.txt item: #852 of 1513 id: ojphi-7089 author: celestine a. ameh title: ojphi-7089 date: 2016-12-23 words: 4218 flesch: 52 summary: We compared the results with WHO(2004) recommended performance indicators to determine the quality and effectiveness of measles surveillance system. [21] recommended performance indicators to determine the quality and effectiveness of measles surveillance system. keywords: case; evaluation; health; kaduna; laboratory; measles; nigeria; pubmed; state; surveillance; surveillance system; system cache: ojphi-7089.pdf plain text: ojphi-7089.txt item: #853 of 1513 id: ojphi-7094 author: None title: None date: 2016-12-18 words: 4027 flesch: 41 summary: Patient portals are offered by majority of HCH certified clinics. Another factor which may explain the increased use of EHR tools by HCH certified clinics is the maturation of clinics and practices over time. keywords: care; clinics; ehr; hch; health; minnesota; patient; support; technology cache: ojphi-7094.pdf plain text: ojphi-7094.txt item: #854 of 1513 id: ojphi-7099 author: None title: ojphi-7099 date: 2016-12-23 words: 3659 flesch: 39 summary: Specifically, medical information apps introduced consisted of point-of-care resources from institutional subscriptions, authoritative public health apps from the National Library of Medicine, and general healthcare apps that were evaluated and approved by physicians for clinicians through imedicalapps.com. Using the Likert-scale responses, residents were assessed on their familiarity with current computer technologies, opinions regarding the introduction of mobile technology within a clinical setting, and familiarity with medical information apps. keywords: access; care; computer; information; intervention; medical; mobile; point; residents cache: ojphi-7099.pdf plain text: ojphi-7099.txt item: #855 of 1513 id: ojphi-7166 author: None title: ojphi-7166 date: 2016-12-24 words: 3036 flesch: 38 summary: Policy makers and researchers require population health data in order to assess the health of communities, manage resources, educate the public, and develop policies. The current off-the-shelf visualization tools can be used to represent only one or two facets of health data, thereby missing relevant but hidden patterns. keywords: care; data; health; information; journal; online; order; public cache: ojphi-7166.pdf plain text: ojphi-7166.txt item: #856 of 1513 id: ojphi-7251 author: celestine a. ameh title: ojphi-7251 date: 2016-12-24 words: 3671 flesch: 43 summary: In this article, we review the requirements of data privacy and security and discuss epidemiologic implications of emerging technologies from the computer science community that can be used for health data. In conclusion, recent data breaches indicate that privacy and security of health data derived from EHRs are continuing concerns, and public health researchers need to proactively participate in the development of new technologies that better ensure data protection. keywords: analysis; data; health; information; journal; privacy; record; research; researchers; security; technologies cache: ojphi-7251.pdf plain text: ojphi-7251.txt item: #857 of 1513 id: ojphi-7437 author: %username% title: ojphi-7437 date: 2017-09-04 words: 7003 flesch: 42 summary: The participants pointed to the following limitations in GIS use: Difficulties in geo-coding and data aggregation, lack of support for merging data from different data sources and/or constructed with different GIS tools, complexity of GIS tools use and functionalities The review recommended collaboration between GIS software developers and implementers and potential end-users to develop new, and test refined, versions of public health GIS tools. keywords: articles; cancer; data; gis; health; information; participants; policy; preferences; public; research; review; study; tools; usability; users cache: ojphi-7437.pdf plain text: ojphi-7437.txt item: #858 of 1513 id: ojphi-7491 author: None title: ojphi-7491 date: 2017-12-31 words: 6526 flesch: 44 summary: With this in mind, questions were asked to explore whether vendors have any challenges with the HL7 standard implementation guide required by Meaningful Use for 2014 ELR certification, why they find a particular standard challenging, vocabularies that they have the greatest challenge with, and from where they get their vocabulary standard for Public Health ELR. Public health agencies require health information technology vendors to provide secure transport protocols capable of meeting the requirements of Meaningful Use (MU) and ELR. keywords: challenges; elr; health; information; kentucky; laboratory; protocol; public; reporting; technology; transport; use; vendors cache: ojphi-7491.pdf plain text: ojphi-7491.txt item: #859 of 1513 id: ojphi-7520 author: General title: None date: 2017-08-31 words: 7101 flesch: 45 summary: Site improvements made between pilots 2 and 3 were found to benefit the overall site usability and increased the site’s SUS score by 10% (6.9 points). A search of existing literature and web resources uncovered an additional gap in the implementation of online quality improvement sites. keywords: cqi; exchange; health; home; improvement; information; missouri; online; process; program; project; public; quality; quality improvement; site; user cache: ojphi-7520.pdf plain text: ojphi-7520.txt item: #860 of 1513 id: ojphi-7579 author: None title: ojphi-7579 date: 2017-04-08 words: 772 flesch: 28 summary: The objective of this project is to advance the science of biosurveillance by providing a user curated cataloging system, to be used across health department and other users, that advances daily surveillance operations by better characterizing three key issues in available surveillance systems: duplication in biosurveillance activities; differing perspectives and analyses of the same data; and inadequate information sharing. The value of this project 1) provides a starting point for the development of a standard framework of categories to use for cataloging biosurveillance systems, 2) offers openly available data and code on Github keywords: biosurveillance; data; systems cache: ojphi-7579.pdf plain text: ojphi-7579.txt item: #861 of 1513 id: ojphi-7580 author: None title: None date: 2017-04-08 words: 932 flesch: 27 summary: To develop a comprehensive model characterization framework to describe epidemiological models in an operational context. We offer this framework and an associated database to stakeholders of the infectious disease modeling field as a tool for standardizing model description and facilitating the use of epidemiological models. keywords: disease; framework; model cache: ojphi-7580.pdf plain text: ojphi-7580.txt item: #862 of 1513 id: ojphi-7581 author: None title: None date: 2017-04-08 words: 1018 flesch: 52 summary: Results Geographic spread of Mers-CoV based on transmissions identified in phylogenetic data Most important among the places in the MERS-CoV epidemic is Saudi Arabia as measured by the betweenness metric applied to a changes in place mapped to a phylogenetic tree. Conclusions Our goal is to develop methods for understanding syndromic and pathogen genetic data on the spread of diseases. keywords: data; mers; spread cache: ojphi-7581.pdf plain text: ojphi-7581.txt item: #863 of 1513 id: ojphi-7582 author: None title: ojphi-7582 date: 2017-04-08 words: 763 flesch: 43 summary: To achieve this, we placed a particular emphasis on clustering and alerting of disease signals within Soda Pop without strong prior assumptions on the nature of observed diseased counts. Conclusions Soda Pop organizes common statistical disease surveillance tasks in a manner integrated with BSVE data source inputs and outputs. keywords: bsve; pop; soda cache: ojphi-7582.pdf plain text: ojphi-7582.txt item: #864 of 1513 id: ojphi-7583 author: None title: ojphi-7583 date: 2017-04-08 words: 808 flesch: 41 summary: Finally, city sizes are calculated based on an observed three-quarter power- law scaling relationship with the sampled degree distribution. The outbreak data generated here represents the complexity of modern transportation networks and are made to be easily integrated with established software packages to allow for rapid testing and deployment. keywords: city; data; network cache: ojphi-7583.pdf plain text: ojphi-7583.txt item: #865 of 1513 id: ojphi-7584 author: None title: ojphi-7584 date: 2017-04-08 words: 738 flesch: 36 summary: For each combination, we calculated the incidence, vaccination and hospitalization cost per individual per day (Fig 1). We evaluate the impact of changing strategy levels on the incidence of the disease and address the benefits of choosing one strategy over the other with regards to cost of vaccine and isolation. keywords: cost; disease cache: ojphi-7584.pdf plain text: ojphi-7584.txt item: #866 of 1513 id: ojphi-7590 author: None title: ojphi-7590 date: 2017-04-08 words: 717 flesch: 34 summary: Instances of vaccine refusal (per 100,000 population) for United States counties in 2014 as observed in medical claims data. The National Immunization Survey (NIS) - the gold standard tool for monitoring vaccine uptake among children aged 19-35 months - is typically constrained to producing coarse state-level estimates.1 In recent years, vaccine hesitancy (i.e., a desire to delay or refuse vaccination, despite availability of vaccination services)2 has resurged in the United States, challenging the maintenance of herd immunity. keywords: data; hesitancy; immunization; vaccine cache: ojphi-7590.pdf plain text: ojphi-7590.txt item: #867 of 1513 id: ojphi-7591 author: None title: ojphi-7591 date: 2017-04-08 words: 952 flesch: 43 summary: Kansas patients aged 45 to 54 compared to Kansas patients 85 and older on average had approximately 14% higher hazard of recurrent Schedule II high- dose opioid prescription days (β: 0.14, S.E: 0.007, p<0.0001). Preliminary recurrent event analysis shows on average nearly a quarter of approximately 50 million Schedule II opioid patient days were high-dose opioid patient days among 785,514 Kansan patients with any prescribed opioid history. keywords: dose; opioid; patients; prescription cache: ojphi-7591.pdf plain text: ojphi-7591.txt item: #868 of 1513 id: ojphi-7592 author: None title: None date: 2017-04-08 words: 997 flesch: 45 summary: Aronis J, Millett N, Wagner M, Tsui F, Ye Y, Cooper G. A method for detecting and characterizing multiple outbreaks of infectious diseases. These are given to MODS which searches a space of multiple outbreak models, computes the likelihood of each model, and calculates the expected number of influenza cases day-by-day. keywords: influenza; informatics; outbreaks cache: ojphi-7592.pdf plain text: ojphi-7592.txt item: #869 of 1513 id: ojphi-7593 author: None title: None date: 2017-04-08 words: 893 flesch: 38 summary: Limitations include the inconsistency of diagnosis coding among syndromic data submitters, which may lead to geographic underrepresentation of unintentional drug overdose visits based on the location of health care systems. Conclusions Both revised syndrome definitions improved specificity in capturing overdose visits as Syndrome 1 (2016) identified 29% fewer visits and Syndrome 2 (2016) identified 6% fewer visits found to be unrelated to the desired overdose criteria. keywords: definitions; overdose; syndrome cache: ojphi-7593.pdf plain text: ojphi-7593.txt item: #870 of 1513 id: ojphi-7594 author: None title: None date: 2017-04-08 words: 726 flesch: 55 summary: On October 1, 2015, the Health and Human Services-mandated transition from ICD- 9-CM to ICD-10-CM required evaluation of the syndrome mappings to establish a baseline of syndrome rates within the DoD. Frequency of visits of DoD ESSENCE syndromes by coding system, October 1, 2014 - September 30, 2016 Keywords syndromic surveillance; syndrome mappings; DoD ESSENCE; MMRT Acknowledgments keywords: syndrome cache: ojphi-7594.pdf plain text: ojphi-7594.txt item: #871 of 1513 id: ojphi-7595 author: None title: ojphi-7595 date: 2017-04-08 words: 836 flesch: 36 summary: ISDS 2016 Conference Abstracts Evaluation of Exposure-Type Stratification to Improve Poison Center Surveillance Royal K. Law*1, Howard Burkom2 and Josh Schier1 1National Center for Environmental Health, Centers for Disese Control and Prevention, Chamblee, GA, USA; 2Johns Hopkins Applied Physics Laboratory, Baltimore, MD, USA Objective Our objective was to determine if the detection performance of current surveillance algorithms to detect call clusters is improved by stratifying by exposure category. We hypothesized that first stratifying call volume by exposure category would reduce the number of false positives. keywords: approach; exposure; time cache: ojphi-7595.pdf plain text: ojphi-7595.txt item: #872 of 1513 id: ojphi-7596 author: None title: ojphi-7596 date: 2017-04-08 words: 784 flesch: 38 summary: We applied the HLM method after stratifying by exposure category and tabulated the number of alerts triggered for each category during the study period. We compared the combined alert burden generated by stratifying by exposure category with the alert burden for the non-stratified approach for varying time windows (1-, 2-, 4-, 8- and 24-hours). keywords: calls; exposure; health cache: ojphi-7596.pdf plain text: ojphi-7596.txt item: #873 of 1513 id: ojphi-7597 author: None title: ojphi-7597 date: 2017-04-08 words: 871 flesch: 29 summary: ISDS 2016 Conference Abstracts Interpreting specific and general respiratory indicators in syndromic surveillance Roger Morbey*, Alex J. Elliot, Maria Zambon, Richard Pebody and Gillian E. Smith Public Health England, Birmingham, United Kingdom Objective To improve understanding of the relative burden of different causative respiratory pathogens on respiratory syndromic indicators monitored using syndromic surveillance systems in England. Furthermore, identifying the incidence of specific respiratory pathogens circulating in the community is essential for targeting public health interventions e.g. vaccination. keywords: health; influenza; pathogens cache: ojphi-7597.pdf plain text: ojphi-7597.txt item: #874 of 1513 id: ojphi-7598 author: None title: ojphi-7598 date: 2017-04-08 words: 968 flesch: 42 summary: Results We used MDTS to analyze publicly available data from the Allegheny County, PA medical examiner’s office and to detect emerging overdose patterns and trends. ISDS 2016 Conference Abstracts Multidimensional Tensor Scan for Drug Overdose Surveillance Daniel B. Neill* H.J. Heinz III College, Carnegie Mellon University, Pittsburgh, PA, USA Objective We present the multidimensional tensor scan (MDTS), a new method for identifying emerging patterns in multidimensional spatio-temporal data, and demonstrate the utility of this approach for discovering emerging geographic, demographic, and behavioral trends in fatal drug overdoses. keywords: drug; multidimensional; overdose; subset cache: ojphi-7598.pdf plain text: ojphi-7598.txt item: #875 of 1513 id: ojphi-7599 author: None title: ojphi-7599 date: 2017-04-08 words: 684 flesch: 47 summary: Fast subset scan for spatial pattern detection. SVSS integrates the penalized fast subset scan3 with a kernel support vector machine classifier to accurately detect disease clusters that are compact and irregular in shape. keywords: scan; subset; svss cache: ojphi-7599.pdf plain text: ojphi-7599.txt item: #876 of 1513 id: ojphi-7600 author: None title: ojphi-7600 date: 2017-04-08 words: 480 flesch: 33 summary: ISDS 2016 Conference Abstracts “That was then, this is now” improving public health syndromic surveillance baselines Roger Morbey*, Alex J. Elliot, Paul Loveridge, Helen Hughes, Sally Harcourt and Sue Smith Public Health England, Birmingham, United Kingdom Objective To improve the ability of syndromic surveillance systems to detect unusual events. Introduction Syndromic surveillance systems are used by Public Health England (PHE) to detect changes in health care activity that are indicative of potential threats to public health. keywords: health; public cache: ojphi-7600.pdf plain text: ojphi-7600.txt item: #877 of 1513 id: ojphi-7601 author: None title: ojphi-7601 date: 2017-04-08 words: 556 flesch: 42 summary: During the period of February 3, 2016 – July 25, 2016, a free-text query was created to run against the concatenated chief complaint- discharge diagnosis (CCDD) and triage note fields: ^zika^,or,^ziki^,or,^zica^,or,^zeeka^,or,^zeeca^,or,^microcep^, or,^zyka^ Additional queries were created to detect foreign travel visits of interest within the CCDD and triage note fields. This study assesses the utilization of triage notes from emergency departments (EDs) and urgent care centers (UCCs) for active case finding in ESSENCE-FL during the Zika response. keywords: triage; zika cache: ojphi-7601.pdf plain text: ojphi-7601.txt item: #878 of 1513 id: ojphi-7602 author: None title: ojphi-7602 date: 2017-04-08 words: 463 flesch: 31 summary: Results Seasonal increases in respiratory indicators occurred first in younger age groups, with increases in children under 5 providing early warning of subsequent increases occurring in older age groups. Also, we found age specific indicators improved the specificity of surveillance using indicators relating to respiratory and eye problems; identifying unusual activity that was less apparent in the all-ages population. keywords: age; health cache: ojphi-7602.pdf plain text: ojphi-7602.txt item: #879 of 1513 id: ojphi-7603 author: None title: ojphi-7603 date: 2017-04-08 words: 495 flesch: 28 summary: Conclusions Our work provides a starting point for further consideration of the validity of the test-negative design, which is an efficient approach for routine monitoring of influenza VE that can be implemented in existing surveillance systems without substantial additional resources. We aimed to describe the theoretical basis and the potential applications of the test-negative design for estimating influenza vaccination effectiveness in sentinel influenza surveillance. keywords: design; influenza cache: ojphi-7603.pdf plain text: ojphi-7603.txt item: #880 of 1513 id: ojphi-7604 author: None title: ojphi-7604 date: 2017-04-08 words: 651 flesch: 53 summary: Bayesian change point analysis was the method used to detect change points, or seasonal changes, in each of the web-data sources for comparison to change points in CDC ILI data. Detection of change points, 2014-2015 influenza season Keywords Google; Twitter; Wikipedia; Bayesian change point analysis; keywords: change; influenza; points cache: ojphi-7604.pdf plain text: ojphi-7604.txt item: #881 of 1513 id: ojphi-7605 author: None title: ojphi-7605 date: 2017-04-08 words: 672 flesch: 31 summary: Categorization of influenza immunization documentation within free text notes of 453 patients using NLP Keywords GUARDIAN; clinical quality measures; Influenza immunization; Natural language processing Acknowledgments GUARDIAN is funded by the US Department of Defense, Telemedicine and Advanced Technology Research Center, Award numbers W81XWH-09-1-0662 and W81XWH-11-1-0711. To explain the utility of using an automated syndromic surveillance program with advanced natural language processing (NLP) to improve clinical quality measures reporting for influenza immunization. keywords: immunization; influenza cache: ojphi-7605.pdf plain text: ojphi-7605.txt item: #882 of 1513 id: ojphi-7606 author: None title: ojphi-7606 date: 2017-04-08 words: 786 flesch: 51 summary: 3. Struchen R, Reist M, Zinsstag J & Vial F. Investigating the potential of reported cattle mortality data in Switzerland for syndromic surveillance. Keywords empirical Bayes; Reporting delay; Multivariate surveillance References 1. keywords: data; outbreak; reporting cache: ojphi-7606.pdf plain text: ojphi-7606.txt item: #883 of 1513 id: ojphi-7607 author: None title: None date: 2017-04-08 words: 840 flesch: 44 summary: Conclusions Our model successfully utilizes sequential relationships among events recorded in medical claims data and reveals interpretable patterns that can identify sufferers of rare diseases with high confidence. This demonstrates the utility of sequential structure of medical claims in identifying patients who suffer from rare diseases. keywords: claims; patients cache: ojphi-7607.pdf plain text: ojphi-7607.txt item: #884 of 1513 id: ojphi-7608 author: None title: ojphi-7608 date: 2017-04-08 words: 553 flesch: 45 summary: Introduction Hurricane ‘Superstorm’ Sandy struck New Jersey on October 29, 2012, causing harm to the health of New Jersey residents and billions of dollars of damage to businesses, transportation, and infrastructure. In June, 2015, a squall line of damaging thunderstorms, known as a “bow echo,” caused downed wires and multi-day power outages in Camden and Gloucester counties in southern New Jersey. keywords: storm; weather cache: ojphi-7608.pdf plain text: ojphi-7608.txt item: #885 of 1513 id: ojphi-7609 author: None title: ojphi-7609 date: 2017-04-08 words: 789 flesch: 19 summary: Minnesota’s birth defects registry, the Birth Defects Information System (BDIS), was selected as the pilot program because it was identified in the 2015 MDH Informatics Assessment as having a high level of interest in implementing an interoperable and standards- driven approach to electronic health data exchange. Conclusions MDH surveillance systems are calling for practical guidance to help implement and maintain a more efficient and effective way to electronically collect, use, and share health data with external and internal stakeholders. keywords: health; informatics; mdh cache: ojphi-7609.pdf plain text: ojphi-7609.txt item: #886 of 1513 id: ojphi-7610 author: None title: ojphi-7610 date: 2017-04-08 words: 745 flesch: 55 summary: LOINC is used as standardized format for messaging inspection data [1, 2]. We thank all the collaborating hospitals for providing data and cooperating with data correction, and also thank Mr. Chih-Yang Yeh from TAMI for providing expert advice for LOINC mapping. keywords: data; lars; loinc cache: ojphi-7610.pdf plain text: ojphi-7610.txt item: #887 of 1513 id: ojphi-7611 author: None title: ojphi-7611 date: 2017-04-08 words: 723 flesch: 51 summary: Analysis of that data may be useful as a supplement to mass shooting databases by identifying unreported events. Given that limitation, a complete correspondence between clusters identified in syndromic surveillance data and mass shootings was not expected. keywords: gunshot; mass; shooting cache: ojphi-7611.pdf plain text: ojphi-7611.txt item: #888 of 1513 id: ojphi-7612 author: None title: ojphi-7612 date: 2017-04-08 words: 486 flesch: 41 summary: ISDS 2016 Conference Abstracts Delay between Discharge and Admit Time Delay in ADT-A03 messages via LEEDS Jose A. Serrano* Office of Public Health, Louisiana Department of Health, New Orleans, LA, USA Objective To explore the difference between the reported date of admission and discharge date using discharge messages (A03), from hospital emergency departments participating in the Louisiana Early Event Detection System (LEEDS. IDEpi syndromic surveillance messages received for the period of CDC week 1632 and 1636 (8/8/16-9/8/16) using MS Access and Excel to calculate the difference (in days) between the reported admit date and discharge date in A03 messages. keywords: date; discharge cache: ojphi-7612.pdf plain text: ojphi-7612.txt item: #889 of 1513 id: ojphi-7613 author: None title: ojphi-7613 date: 2017-04-08 words: 699 flesch: 32 summary: Our goal is to ensure complete and accurate data using a multi-step process beginning with pre-production data and continuing after EHs are sending live data to production. Methods We used an iterative process to establish a framework for monitoring data quality during onboarding of EHs into our syndromic surveillance system and kept notes of the process. keywords: data; production cache: ojphi-7613.pdf plain text: ojphi-7613.txt item: #890 of 1513 id: ojphi-7614 author: None title: ojphi-7614 date: 2017-04-08 words: 892 flesch: 43 summary: Each CCD contained manually selected encounters (related to STI case). Introduction Under the CDC STD Surveillance Network (SSuN) Part B grant, WA DOH is testing electronic case reporting (eCR) of sexually transmitted infections (STI) from a clinical partner. keywords: case; ccd; ccds; report cache: ojphi-7614.pdf plain text: ojphi-7614.txt item: #891 of 1513 id: ojphi-7615 author: None title: ojphi-7615 date: 2017-04-08 words: 856 flesch: 45 summary: A survey conducted by LANL of notifiable disease data reporting in 52 countries identified only 10 as being machine-readable and 42 being reported in pdf files on a regular basis. This task involved ingesting notifiable disease data in many disparate formats extracted from pdf files and coalescing the data into a standardized format. keywords: data; disease; pdf cache: ojphi-7615.pdf plain text: ojphi-7615.txt item: #892 of 1513 id: ojphi-7616 author: None title: ojphi-7616 date: 2017-04-08 words: 789 flesch: 51 summary: The daily data feed data quality evaluation is still on-going, and ePR data quality will be monitored continuously. Chicago Department of Public Health (CDPH) collaborated with Alliance of Chicago (AOC) to develop an application to generate electronic provider reports (ePR) for chlamydia (CT) and gonorrhea (GC) cases from the EHR system managed by AOC and send ePR records to the Illinois National Electronic Disease Surveillance System (I-NEDSS). keywords: epr; health; records cache: ojphi-7616.pdf plain text: ojphi-7616.txt item: #893 of 1513 id: ojphi-7617 author: None title: ojphi-7617 date: 2017-04-08 words: 721 flesch: 46 summary: While many of these are simply mentions of opioids, possibly indicating past history of use or even in some cases just that questions about opioid use were asked, a substantial number of visits with overdose indicators were also detected solely from triage note data. A more complete record of the emergency department interaction, such as that provided by triage notes, could provide the information necessary to differentiate opioid-related visits from other overdoses. keywords: opioid; visits cache: ojphi-7617.pdf plain text: ojphi-7617.txt item: #894 of 1513 id: ojphi-7618 author: None title: ojphi-7618 date: 2017-04-08 words: 823 flesch: 44 summary: ISDS 2016 Conference Abstracts HAI Surveillance Enhancement within EpiCenter by Utilization of Triage Notes Pinar Erdogdu*, Stella Tsai and Teresa Hamby New Jersey Department of Health, Trenton, NJ, USA Objective Evaluate the usage of triage note data from EpiCenter, a syndromic surveillance system utilized by New Jersey Department of Health (NJDOH), to enhance Healthcare-Associated Infections (HAIs) surveillance for infections following a surgical procedure. Following the 2014 Ebola outbreak in West Africa, the New Jersey Department of Health (NJDOH) Communicable Disease Service (CDS) started recruiting EDs to include triage note data in addition to chief complaint data to enhance surveillance capability for Ebola and other HAIs. keywords: codes; health; icd; triage cache: ojphi-7618.pdf plain text: ojphi-7618.txt item: #895 of 1513 id: ojphi-7619 author: None title: ojphi-7619 date: 2017-04-08 words: 813 flesch: 46 summary: Through this activity several root causes of data quality degradation have been identified, allowing processes to be implemented in order to mitigate impact on data quality. To check this assumption in Kansas, a SAS Production Report program was developed specifically to look at production data quality. keywords: data; quality cache: ojphi-7619.pdf plain text: ojphi-7619.txt item: #896 of 1513 id: ojphi-7620 author: None title: ojphi-7620 date: 2017-04-08 words: 605 flesch: 38 summary: Integrating NPDS data into Oregon ESSENCE allows OPHD staff to timely monitor data in an automated, routine manner. Introduction Oregon Public Health Division (OPHD), in collaboration with the Johns Hopkins University Applied Physics Laboratory, implemented Oregon ESSENCE in 2012. keywords: data; essence; oregon cache: ojphi-7620.pdf plain text: ojphi-7620.txt item: #897 of 1513 id: ojphi-7621 author: None title: ojphi-7621 date: 2017-04-08 words: 663 flesch: 46 summary: It covers 70 types of infectious diseases starting from 2004, and the latest status is updated every day. The users can select the temporal precision, types of infectious diseases, spatial precision and the gender at the beginning. keywords: disease; incidence cache: ojphi-7621.pdf plain text: ojphi-7621.txt item: #898 of 1513 id: ojphi-7622 author: None title: ojphi-7622 date: 2017-04-08 words: 804 flesch: 51 summary: Methods We obtained sample HL7 CRE messages from Illinois’ ELR database. Using these messages and the HL7 Implementation Guide for Electronic Laboratory Reporting, we mapped ELR fields to those in the XDRO registry. keywords: cre; registry; xdro cache: ojphi-7622.pdf plain text: ojphi-7622.txt item: #899 of 1513 id: ojphi-7623 author: None title: ojphi-7623 date: 2017-04-08 words: 740 flesch: 29 summary: ISDS 2016 Conference Abstracts Measuring and Improving the Quality of Data Used for Syndromic Surveillance Brian E. Dixon*1, 2, 3, Jon Duke4, 1 and Shaun Grannis1, 5 1Center for Biomedical Informatics, Regenstrief Institute, Inc., Indianapolis, IN, USA; 2Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA; 3Department of Veterans Affairs, Health Services Research & Development Service, Indianapolis, IN, USA; 4Georgia Tech Research Institute, Atlanta, GA, USA; 5Indiana University School of Medicine, Indianapolis, IN, USA Objective To extend an open source platform for measuring the quality of electronic health data by adding functions useful for syndromic surveillance. A vision for the systematic monitoring and improvement of the quality of electronic health data. keywords: data; health; quality cache: ojphi-7623.pdf plain text: ojphi-7623.txt item: #900 of 1513 id: ojphi-7624 author: None title: ojphi-7624 date: 2017-04-08 words: 712 flesch: 26 summary: Conclusions The NBIC and DTRA partnership has demonstrated value in improving biosurveillance capabilities for each agency and their partners. BSVE will provide NBIC analysts with a collaborative tool that can leverage use of applications that visualize near real- time global epidemic and outbreak data from a range of unique and trusted sources. keywords: biosurveillance; dtra; nbic cache: ojphi-7624.pdf plain text: ojphi-7624.txt item: #901 of 1513 id: ojphi-7625 author: None title: ojphi-7625 date: 2017-04-08 words: 681 flesch: 33 summary: Through use of data integration tools, incoming data can be mapped from any format to PHDC and imported into the system. Introduction The NBS is an integrated disease surveillance system deployed in 22 public health jurisdictions to support receipt, investigation, analysis and reporting, and data exchange for state reportable conditions. keywords: data; health; nbs cache: ojphi-7625.pdf plain text: ojphi-7625.txt item: #902 of 1513 id: ojphi-7626 author: None title: ojphi-7626 date: 2017-04-08 words: 392 flesch: 29 summary: Introduction Details about the ONC 2015 Edition certification criteria for Syndromic Surveillance and the related NIST Test Suite were explained previously. Keywords conformance testing; test tool; interoperability standards Acknowledgments The NIST Syndromic Surveillance Test Suite was developed in collaboration with subject matter experts at The Centers for Disease Control and Prevention. keywords: suite; test cache: ojphi-7626.pdf plain text: ojphi-7626.txt item: #903 of 1513 id: ojphi-7627 author: None title: ojphi-7627 date: 2017-04-08 words: 789 flesch: 44 summary: CDC relies on two sources of information, reported voluntarily by healthcare providers, to monitor Zika virus disease: ArboNET and the newly established U.S. Zika Pregnancy Registry. A study by IMS Health compared U.S. trends of the Zika virus disease in general and pregnant women with Zika virus disease in particular observed in an IMS healthcare claims database and the CDC ArboNET and the newly established U.S. Zika Pregnancy Registry. keywords: virus; zika cache: ojphi-7627.pdf plain text: ojphi-7627.txt item: #904 of 1513 id: ojphi-7628 author: None title: ojphi-7628 date: 2017-04-08 words: 818 flesch: 41 summary: Results The two applications, accessible on a web-portal, are similarly designed, with: - a dropdown menu and radio buttons on the left hand side to select the data to display (e.g. filter by data source, age group, geographical levels, syndromic grouping and/or time period), - several tab panels allowing to consult data and statistical results through tables, static and dynamic charts, statistical alarm matrix, geographical maps,… (Figure 1), - a “help” tab panel, including documentations and guidelines, links, contact details. ISDS 2016 Conference Abstracts User-friendly Rshiny web applications for supporting syndromic surveillance analysis Anne Fouillet*, Marc Ruello, Lucie Léon, Cécile Sommen, Laurent Marie, Céline Caserio-Schönemann, Camille Pelat and Yann Le Strat Santé publique France, Saint-Maurice, France Objective keywords: application; data; sursaud; surveillance cache: ojphi-7628.pdf plain text: ojphi-7628.txt item: #905 of 1513 id: ojphi-7629 author: None title: ojphi-7629 date: 2017-04-08 words: 914 flesch: 45 summary: Introduction The North Dakota Department of Health (NDDoH) collects outpatient ILI data through North Dakota Influenza-like Illness Network (ND ILINet), providing situational awareness regarding the percent of visits for ILI at sentinel sites across the state. Use of a different ILI syndrome definition for outpatient SyS data should be investigated. keywords: data; influenza; outpatient cache: ojphi-7629.pdf plain text: ojphi-7629.txt item: #906 of 1513 id: ojphi-7630 author: None title: ojphi-7630 date: 2017-04-08 words: 649 flesch: 49 summary: For each disease, we modelized daily variations in Wikipedia views according to daily visits in ED using Poisson regression models allowing for overdispersion. We tested several lags (day-7 to day+7) in order to explore whether one of the two indicators (Wikipedia view or ED visits) varied earlier than the other. keywords: data; views; wikipedia cache: ojphi-7630.pdf plain text: ojphi-7630.txt item: #907 of 1513 id: ojphi-7631 author: None title: ojphi-7631 date: 2017-04-08 words: 277 flesch: 34 summary: Health Outcomes Opioids Surveillance System Diagram Figure 2. *Milda Aksamitauskas E-mail: milda.aksamitauskas@wi.gov Online Journal of Public Health Informatics * keywords: health; surveillance cache: ojphi-7631.pdf plain text: ojphi-7631.txt item: #908 of 1513 id: ojphi-7632 author: None title: ojphi-7632 date: 2017-04-08 words: 609 flesch: 36 summary: Conclusions The integration of mosquito surveillance module within CDESS allows LHDs and the State to monitor mosquito-borne disease activity more efficiently. Keywords information system; mosquito surveillance; national standards *Hwa-Gan Chang E-mail: hwagan.chang@health.ny.gov Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 9(1):e54, 2017 keywords: module; mosquito; surveillance cache: ojphi-7632.pdf plain text: ojphi-7632.txt item: #909 of 1513 id: ojphi-7633 author: None title: ojphi-7633 date: 2017-04-08 words: 648 flesch: 31 summary: The abundance of R tools freely-available online for data analysis and visualization presents not only opportunities, but also challenges for adoption in that these tools must be integrated so as to allow a structured workflow. Results We first collected several analytic tools that support syndromic data analysis and have been developed for R; examples include heatmaps, change-point detection, outlier detection, tables, maps, etc. keywords: surveillance; tools cache: ojphi-7633.pdf plain text: ojphi-7633.txt item: #910 of 1513 id: ojphi-7634 author: None title: ojphi-7634 date: 2017-04-08 words: 557 flesch: 18 summary: Individual case and outbreak management activities include but are not limited to: notifiable disease and condition cases; all disease clusters; animal bites surveillance including bite investigation and laboratory results; and syndromic surveillance data automatically collected from 90 emergency facilities. Keywords informatics; Surveillance; Emergency response; Outbreak response; Surveillance system *Laura Edison E-mail: laura.edison@dph.ga.gov Online Journal of Public Health Informatics * keywords: response; surveillance cache: ojphi-7634.pdf plain text: ojphi-7634.txt item: #911 of 1513 id: ojphi-7635 author: None title: ojphi-7635 date: 2017-04-08 words: 495 flesch: 35 summary: ISDS 2016 Conference Abstracts Successful implementation of electronic disease reporting in Georgia Lia Sanodze*1, Naile Malakmadze2, Rusudan Chlikadze1, Maka Tsilosani1, Tamar Teimurazishvili1, Tsira Napetvaridze3, Natia Kartskhia3 and Khatuna Zakhashvili1 1National Center for Disease Control and Public Health, Tbilisi, Georgia; 2Northrop Grumman, Atlanta, GA, USA; 3National Food Agency of Georgia, Tbilisi, Georgia Objective The objective of this study was to evaluate several aspects of the electronic disease reporting system and its abilities used in Georgia. The Georgian government adopted electronic reporting for both veterinary and human diseases in 2015. keywords: reporting; survey cache: ojphi-7635.pdf plain text: ojphi-7635.txt item: #912 of 1513 id: ojphi-7636 author: None title: ojphi-7636 date: 2017-04-08 words: 550 flesch: 30 summary: This session will provide an overview of the current systems for influenza surveillance; review the role of schools in influenza transmission; discuss relationships between school closures, school absenteeism, and influenza transmission; and explore the usefulness of school absenteeism and unplanned school closure monitoring for early detection of influenza in schools and broader communities. Due to the close interaction of children in schools and subsequent introduction of influenza into households, it is recognized that schools can serve as amplification points of influenza transmission in communities. keywords: influenza; school; surveillance cache: ojphi-7636.pdf plain text: ojphi-7636.txt item: #913 of 1513 id: ojphi-7637 author: None title: ojphi-7637 date: 2017-04-08 words: 814 flesch: 32 summary: By analyzing this use case, CDC’s informaticians have identified multiple opportunities for advancing PH EPRI and advance the objectives of the GHSA. This helped in avoiding overlap with other disciplines and fixing gaps within PH EPRI. keywords: health; information cache: ojphi-7637.pdf plain text: ojphi-7637.txt item: #914 of 1513 id: ojphi-7638 author: None title: ojphi-7638 date: 2017-04-08 words: 782 flesch: 38 summary: The analysis of experiments under developed model has shown that the most influencing factor in the reduction in the percentage of patients is frequency of checks on the disease and isolation of patients, the second most important factor is constancy of sexual partners, the third is the use of condoms, and finally, the fourth is the number of exchangeable partners. Also, in order to correctly determine the intensity of contacts with other agents different age groups of agents have been highlighted in the model. keywords: agent; model; syphilis cache: ojphi-7638.pdf plain text: ojphi-7638.txt item: #915 of 1513 id: ojphi-7640 author: None title: ojphi-7640 date: 2017-04-08 words: 757 flesch: 41 summary: ISDS 2016 Conference Abstracts Improving Cattle Market Syndromic Surveillance Through Electronic Data Capture Leah Estberg1, Randy Munger1, Cynthia Zepeda1, Judy Akkina*1, Susan Rollo2 and Andy Schwartz2 1USDA-APHIS-VS, Fort Collins, CO, USA; 2Texas Animal Health Commission, Austin, TX, USA Objective Implement a mobile technology platform to capture and transmit syndromic cattle data collected at Texas market sales. Some challenges encountered with deploying the mobile technology system included addressing the VS Information Technology security requirements for establishing user accounts and implementing direct data upload into VS systems. keywords: data; sale; system cache: ojphi-7640.pdf plain text: ojphi-7640.txt item: #916 of 1513 id: ojphi-7641 author: None title: ojphi-7641 date: 2017-04-08 words: 741 flesch: 30 summary: This problem was partially addressed by optimizing parameters for fast computations Conclusions This work shows the “proof of concept” for an open source, customizable spatiotemporal surveillance system that overcomes existing data challenges in Ontario. One major challenge was scalability: the ability to handle high resolutions of spatiotemporal data. keywords: ohim; surveillance; visualization cache: ojphi-7641.pdf plain text: ojphi-7641.txt item: #917 of 1513 id: ojphi-7642 author: None title: ojphi-7642 date: 2017-04-08 words: 745 flesch: 24 summary: Results To serve as a one-stop tool for open source biosurveillance, NBIC Biofeeds automatically harvests information from thousands of websites, utilizing third party aggregators, paid subscriptions to data feeds, and scraping of high priority sources. Conclusions Through current testing and evaluation – underway by biosurveillance subject matter experts – NBIC Biofeeds is demonstrating value in supporting open source biosurveillance by the Center for more rapid recognition and sharing of key event characteristics. keywords: biosurveillance; nbic; tool cache: ojphi-7642.pdf plain text: ojphi-7642.txt item: #918 of 1513 id: ojphi-7643 author: None title: ojphi-7643 date: 2017-04-08 words: 765 flesch: 29 summary: Developing an application in this way has provided NBS users not only with a much better, integrated surveillance system, but also a forum for understanding how other jurisdictions have solved similar issues; it provides a springboard for sharing and building upon novel ideas and new approaches in public health surveillance. As a community, members: ■ Share best practices, tools, and lessons learned across jurisdictions ■ Share innovative local approaches to disease surveillance and reporting ■ Access NBSCentral for support and collaboration ■ Participate in the change control and planning process for each NBS release ■ Work collaboratively with CDC to define high-level vision and priorities ■ Provide input to create community-defined requirements for system development ■ Participate in weekly subject matter expert (SME) calls to discuss development and best practices ■ Have the opportunity to participate in beta testing for releases ■ Attend a bi-weekly NBS User Group (NUG) call to discuss the system as well as reach out to colleagues to brainstorm creative solutions to common problems in public health surveillance All meetings with stakeholders are recorded and shared with the larger community to ensure full transparency and for historical reference. keywords: community; nbs; system cache: ojphi-7643.pdf plain text: ojphi-7643.txt item: #919 of 1513 id: ojphi-7644 author: None title: ojphi-7644 date: 2017-04-08 words: 806 flesch: 38 summary: The interns suc- cessfully developed three applications that demonstrated a value-add to chemical surveillance—ChemAnalyzer (text analytics), RetroSpect (retrospective analysis of chemical events), and ToxicBusters (geo-based trend analytics). The 2016 competition pivoted away from biosurveillance to focus on addressing challenges within the field of chemical surveillance and increasing public health chemical situational awareness. keywords: chemical; events; surveillance cache: ojphi-7644.pdf plain text: ojphi-7644.txt item: #920 of 1513 id: ojphi-7645 author: None title: ojphi-7645 date: 2017-04-08 words: 842 flesch: 47 summary: MDPHnet surveillance provides prevalence estimates that align well with BRFSS and other traditional surveillance sources but is able to make surveillance more timely and more efficient with more geographical specificity compared to traditional surveillance systems. We sought to assess the feasibility and utility of public health surveillance for chronic diseases using EHR data using MDPHnet. keywords: data; health; surveillance cache: ojphi-7645.pdf plain text: ojphi-7645.txt item: #921 of 1513 id: ojphi-7646 author: None title: ojphi-7646 date: 2017-04-08 words: 921 flesch: 37 summary: Conclusions The onboarding process created by Oregon ESSENCE streamlined syndromic data submission without the purchase of additional programs or the hiring of additional project staff. As interest in submitting syndromic data increased, Oregon ESSENCE streamlined the onboarding process by creating guidance for HL7 message construction, message testing and submitter business process details (collectively referred to as “onboarding documents”). keywords: essence; oregon; testing cache: ojphi-7646.pdf plain text: ojphi-7646.txt item: #922 of 1513 id: ojphi-7647 author: None title: ojphi-7647 date: 2017-04-08 words: 764 flesch: 39 summary: Results From September 2012 to December 2015, Coconut Surveillance has helped malaria surveillance officers in Zanzibar respond to more than 8,617 (84%) reported cases of malaria, complete nearly 10,245 household visits, test more than 36,185 household members, and identify and treat 2,032 previously unknown cases. Geographical Information System (GIS) software was used to produce detailed maps of case households. keywords: case; malaria; surveillance cache: ojphi-7647.pdf plain text: ojphi-7647.txt item: #923 of 1513 id: ojphi-7648 author: None title: ojphi-7648 date: 2017-04-08 words: 991 flesch: 42 summary: The research objective was to develop and validate an automated system to extract and classify patient alcohol use based on unstructured (i.e., free) text in primary care electronic medical records (EMRs). These physicians were initially trained using an independent sample of 200 EMR text strings containing specific reference to alcohol use. keywords: alcohol; care; primary; text cache: ojphi-7648.pdf plain text: ojphi-7648.txt item: #924 of 1513 id: ojphi-7649 author: None title: ojphi-7649 date: 2017-04-08 words: 609 flesch: 45 summary: Conclusions As hospitals in NYC implement HL7 messaging, symptom negation is becoming increasingly common in chief complaint data. During this same period, chief complaint (CC) word count has increased from an average of 3.8 words to 6.0 words, with a twenty-fold increase in the appearance of the word “denies” in the chief complaint (Figure). keywords: chief; symptom cache: ojphi-7649.pdf plain text: ojphi-7649.txt item: #925 of 1513 id: ojphi-7650 author: None title: ojphi-7650 date: 2017-04-08 words: 743 flesch: 51 summary: ISDS 2016 Conference Abstracts Predicting Acute Respiratory Infections from Participatory Data Bisakha Ray*1 and Rumi Chunara2 1New York University School of Medicine, New York, NY, USA; 2New York University, New York, NY, USA Objective To evaluate prediction of laboratory diagnosis of acute respiratory infection (ARI) from participatory data using machine learning models. Integration of participatory data can not only improve population health by actively engaging the general public2 but also improve the scope of studies solely based on clinically-sourced surveillance data. keywords: cough; data; fever; participatory cache: ojphi-7650.pdf plain text: ojphi-7650.txt item: #926 of 1513 id: ojphi-7651 author: None title: ojphi-7651 date: 2017-04-08 words: 899 flesch: 39 summary: The CDC Office of Public Health Preparedness and Response (OPHPR), Division of Emergency Operations (DEO) and the Georgia Tech Research Institute have collaborated on the advancement of PH SA through development of new approaches in using semantic analysis for social media. The general process involved identifying a set of expert-supplied keywords, which were used to collect an initial set of social media messages. keywords: media; social; surveillance cache: ojphi-7651.pdf plain text: ojphi-7651.txt item: #927 of 1513 id: ojphi-7652 author: None title: None date: 2017-04-08 words: 844 flesch: 43 summary: We use Reddit to track opium related discussions, because Reddit allows for throwaway and unidentifiable accounts that are suitable for stigmatized discussions that may not be appropriate for identifiable accounts. Conclusions We present preliminary findings on developing an automated method to track opium related discussions in Reddit. keywords: opium; reddit cache: ojphi-7652.pdf plain text: ojphi-7652.txt item: #928 of 1513 id: ojphi-7653 author: None title: ojphi-7653 date: 2017-04-08 words: 921 flesch: 31 summary: Among the myriad issues identified, the expansion of surveillance data to inform tobacco policy and culturally-tailored tobacco policies and programs are essential to reduce tobacco use in population subgroups. Therefore, a combination of quantitative and community-based participatory research (CBPR), as proposed in Public Health 3.0, will expand the scope and reach to address all factors of tobacco use, including cross-sector collaboration and multi-level actions.3 This study aimed to comprehensively investigate counties in the Northeast Tennessee region where tobacco use prevalence is disproportionately highest, and to identify regional and culturally specific evidence-based practices for tobacco control. keywords: health; programs; tobacco; use cache: ojphi-7653.pdf plain text: ojphi-7653.txt item: #929 of 1513 id: ojphi-7654 author: None title: ojphi-7654 date: 2017-04-08 words: 718 flesch: 19 summary: The RFR coordinator tracks patterns of adulteration in food, and gathers information from FDA district investigators on the availability of pathogen isolates for FDA analysis, from FDA inspections of firms, and from investigations into the root-cause of contamination. FDA laboratorians provide early information about food and environmental isolates that are in queue for PFGE and whole genome sequence analyses, trend analysis for recently completed isolates, and genetic clustering with clinical and other isolates. keywords: fda; isolates; outbreak cache: ojphi-7654.pdf plain text: ojphi-7654.txt item: #930 of 1513 id: ojphi-7655 author: None title: ojphi-7655 date: 2017-04-08 words: 272 flesch: 34 summary: This roundtable will provide a forum for national, state, and local managers of syndromic surveillance systems to discuss how they identify, monitor, and respond to changes in the nature of their data. Introduction As syndromic surveillance systems continue to grow, new opportunities have arisen to utilize the data in new or alternative ways for which the system was not initially designed. keywords: data cache: ojphi-7655.pdf plain text: ojphi-7655.txt item: #931 of 1513 id: ojphi-7656 author: None title: ojphi-7656 date: 2017-04-08 words: 654 flesch: 42 summary: Children infected with influenza B virus had a higher frequency of sepsis/shock (41%, 72/174), acute respiratory distress syndrome (ARDS, 33%, 58/174), and hemorrhagic pneumonia/pneumonitis (8%, 14/174) than children infected with either influenza A(H1N1) pdm09 or influenza A(H3N2) virus (p=0.01, 0.03, 0.03, respectively). Influenza vaccination among pregnant women, young children and children with high-risk underlying conditions should be encouraged and could reduce influenza-associated mortality among children. keywords: children; influenza cache: ojphi-7656.pdf plain text: ojphi-7656.txt item: #932 of 1513 id: ojphi-7659 author: None title: ojphi-7659 date: 2017-04-08 words: 585 flesch: 34 summary: Keywords IDSR; International Health Regulations; Global Health Security Agenda; Public Health Surveillance; Africa Acknowledgments Thanks to William MacWright. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of PEPFAR or the Centers for Disease Control and Prevention *Vusie Lokotfwako E-mail: vusielokza@gmail.com Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 9(1):e78, 2017 keywords: activities; health; idsr cache: ojphi-7659.pdf plain text: ojphi-7659.txt item: #933 of 1513 id: ojphi-7660 author: None title: ojphi-7660 date: 2017-04-08 words: 668 flesch: 39 summary: The authors would like to acknowledge the support of Bill Stephens and Dave Heinbaugh of Tarrant County Public Health and members of the Syndromic Surveillance Consortium of Southeast Texas from the following jurisdictions: ●Beaumont Public Health Department ●Brazoria County Health Department ●Fort Bend County Department of Health and Human Services ●Galveston County Health District ●Harris County Public Health and Environmental Services ●Houston Health Department ●Montgomery County Public Health District ●Port Arthur Health Department ●Texas Department of State Health Services Region 6/5 South References 1 Wenger, Etienne, McDermott, Richard, Snyder, William M. Cultivating Communities of Practice. Wesley McNeely*, Eunice R. Santos, Biru Yang, Kiley Allred and Raouf R. Arafat OSPHP, Houston Health Department, Houston, TX, USA Objective Describe and explain the transition of the syndromic surveillance program at the Houston Health Department (HHD) from being a locally managed and aging system to an ESSENCE system governed by a regional Consortium of public health agencies and stakeholders in the 13-county area of the southeast Texas. keywords: department; health; surveillance cache: ojphi-7660.pdf plain text: ojphi-7660.txt item: #934 of 1513 id: ojphi-7661 author: None title: ojphi-7661 date: 2017-04-08 words: 321 flesch: 19 summary: Keywords Meaningful Use; Health information technology; Syndromic surveillance; local health department Acknowledgments Houston Health Department would like to acknowledge the contributions from Ali Momin (HHD IT), Kavitha Gantha (HHD IT), Chris Meredith (Texas DSHS/TALHO), Bill Stephens(Tarrant County Public Health Department), DaveHeinbaugh (Tarrant County Public Health Department), Texas S2 (Texas DSHS syndromic surveillance group), and the Syndromic Surveillance Consortium of Southeast Texas (SSCSeT), CDC ESSENCE. ISDS 2016 Conference Abstracts Adoption of Public Health Readiness Guidelines for Meaningful Use Eunice R. Santos*, Wesley McNeely, Biru Yang and Raouf R. Arafat Office of Surveillance and Public Health Preparedness, Houston Health Department, Houston, TX, USA Objective To describe the challenges and lessons learned for public health and providers to successfully implement public health Meaningful Use readiness guidelines and navigate from intent to submission of production data while simultaneously upgrading surveillance systems. keywords: health; surveillance cache: ojphi-7661.pdf plain text: ojphi-7661.txt item: #935 of 1513 id: ojphi-7662 author: None title: None date: 2017-04-08 words: 807 flesch: 43 summary: Introduction One of the key questions in health economics is what is the direction of causality: does poverty cause poor health outcomes; does low education cause poor health outcomes; does poor health result in lack of productivity; does poor health cause poor educational and income outcomes; and how is this all related to mental health if at all. We are used to breaking down data into fragments as researchers: an investigator who is predominantly focused on health outcomes will approach the problem with disease as the dependent variable and income as the conditioning variable. keywords: health; income cache: ojphi-7662.pdf plain text: ojphi-7662.txt item: #936 of 1513 id: ojphi-7664 author: None title: ojphi-7664 date: 2017-04-08 words: 724 flesch: 37 summary: Best practice strategies focus on the following goals: preventing the initiation of tobacco use among young people; promoting quitting among young people and adults (e.g. Georgia Tobacco Quit Line (GTQL); eliminating exposure to secondhand tobacco smoke; and identifying and eliminating the disparities related to tobacco use among various population groups. ISDS 2016 Conference Abstracts The Role of Tobacco Surveillance to obtain Policy, Systems, and Environmental Changes ALINA CHUNG*, ANNE-MARIE COLEMAN, OLUWAYOMI FABAYO, KAYLA LLOYD and Emma Bicego GADPH, ATLANTA, GA, USA Objective To analyze tobacco use in Georgia to influence policy, systems and environmental changes as tools to reduce its burden on health outcomes Introduction Tobacco use is the leading cause of preventable illness and deaths in Georgia. keywords: policy; tobacco; use cache: ojphi-7664.pdf plain text: ojphi-7664.txt item: #937 of 1513 id: ojphi-7665 author: None title: ojphi-7665 date: 2017-04-08 words: 751 flesch: 28 summary: As a result, biosurveillance value, a multi-dimensional entity, is not properly defined or assessed. Value functions were generated for each criterion and scenario by calculating the median of the different values produced by the experts. keywords: biosurveillance; criteria; evaluation cache: ojphi-7665.pdf plain text: ojphi-7665.txt item: #938 of 1513 id: ojphi-7666 author: None title: ojphi-7666 date: 2017-04-08 words: 728 flesch: 46 summary: ISDS 2016 Conference Abstracts Establishing a National Syndromic Surveillance System among Asylum Seekers Mariette Hooiveld*1, 2, Madelief Mollers2, Stephanie van Rooden1, Robert A. Verheij1 and Susan J. Hahné2 1NIVEL, Utrecht, Netherlands; 2RIVM, Centre for Infectious Disease Control, Bilthoven, Netherlands Objective Facing challenges to establish a new national syndromic surveillance system in the Netherlands for infectious diseases among asylum seekers. Introduction Most European countries are facing a continuous increased influx of asylum seekers [1]. keywords: asylum; health; seekers cache: ojphi-7666.pdf plain text: ojphi-7666.txt item: #939 of 1513 id: ojphi-7667 author: None title: ojphi-7667 date: 2017-04-08 words: 781 flesch: 47 summary: While the National Syndromic Surveillance Program (NSSP) has addressed many operational concerns from stakeholders, and is in the process of providing access to the cloud based Biosense platform-along with ESSENCE as a key tool, there is still a paucity of research that exists as to what can be done to improve the utilization of syndromic surveillance systems for its primary purpose of early event detection. In spite of the noted benefits of syndromic surveillance, and more than a decade after it started gaining support, the primary use for syndromic surveillance appears to be largely for seasonal and jurisdictional disease monitoring, event response and situational awareness as opposed to its intended purpose of early event detection. keywords: essence; health; surveillance; syndromic cache: ojphi-7667.pdf plain text: ojphi-7667.txt item: #940 of 1513 id: ojphi-7668 author: None title: ojphi-7668 date: 2017-04-08 words: 768 flesch: 50 summary: Fever consultation rates (per 100,000 registered practice population in the database) were compared to the same 3 month periods of the previous 5 years (2010-14) using incident rate ratios (IRR). ISDS 2016 Conference Abstracts Infant fever trends following the launch of the meningococcal B vaccine in the UK Sally Harcourt*1, Roger Morbey1, Chris Bates2, Helen Carter1, Shamez Ladhani3, Alex J. Elliot1 and Gillian E. Smith1 1Real-time Syndromic Surveillance Team, Public Health England, Birmingham, United Kingdom; 2The Phoenix Partnership (TPP), Leeds, United Kingdom; 3Public Health England Immunisation, Hepatitis and Blood Safety Department, London, United Kingdom Objective To use syndromic surveillance data to assess whether there has been an increase in GP fever consultations since the inclusion of the meningococcal B (MenB) vaccine in the UK vaccination schedule. keywords: fever; infants; rate cache: ojphi-7668.pdf plain text: ojphi-7668.txt item: #941 of 1513 id: ojphi-7669 author: None title: ojphi-7669 date: 2017-04-08 words: 633 flesch: 29 summary: ISDS 2016 Conference Abstracts Management tool to guide rabies elimination programmes Kristyna Rysava*2, 1, Tamara Mancero3, Eduardo Caldas4, Mary Carvalho6, Veronica Gutierrez5, Daniel Haydon2, Paul Johnson2, Rebecca Mancy2, Jesus F. Gonzalez Roldan5, Victor D. Vilas6 and Katie Hampson2 1University of Warwick, School of Life Sciences, Coventry, United Kingdom; 2University of Glasgow, Institute of Biodiversity, Animal Health & Comparative Medicine, Glasgow, United Kingdom; 3Pan American Health Organization (Mexico), Mexico City, Mexico; 4Unidade Técnica de Vigilância de Zoonoses, Brasilia, Brazil; 5CENAPRECE, Mexico City, Mexico; 6Pan American Health Organization (Brazil), Rio de Janeiro, Brazil Objective To provide surveillance tools to support policymakers and practitioners to identify epidemiological situations and inform the progressive implementation of rabies elimination programmes. Conclusions Our management tool can support rabies programme managers at subnational levels to identify their epidemiological situation, develop tailored plans to meet targets, and sustainably maintain rabies freedom, as demonstrated for Mexico. keywords: elimination; health; mexico; rabies cache: ojphi-7669.pdf plain text: ojphi-7669.txt item: #942 of 1513 id: ojphi-7670 author: None title: None date: 2017-04-08 words: 933 flesch: 31 summary: Data entry persons include hotel staff, physicians, and the case. The implementation plan (2016-2018) with each country involved three stages: 1) Project Operations, Coordination, Management (including Advocacy, and Endorsement) 2) Development of the project outputs: gap analysis and best practices; development of surveillance guidelines and training modules, HSE Standards 3) Implementation in participating countries (i.e. technical visits, ongoing technical coordination): Preparation, Buy-in, Training and Launch The web-based design of THiS enables the collection of real- time data which will inform health service delivery decisions/ policies, strengthen national and regional health monitoring efforts, and trigger a rapid coordinated response to outbreaks, and prevent escalation of tourism HSE incidents. keywords: caribbean; health; tourism cache: ojphi-7670.pdf plain text: ojphi-7670.txt item: #943 of 1513 id: ojphi-7671 author: None title: ojphi-7671 date: 2017-04-08 words: 779 flesch: 43 summary: After a national feedback organized in April 2015 with all partners involved in influenza surveillance and management, it was recommended to improve influenza surveillance in France following 3 axes: 1) regionalize surveillance so that healthcare structures can adapt to the particular situation of their region; 2) use a pre-epidemic alert level for better anticipating the outbreak; 3) use multiple data sources and multiple outbreak detection methods to strengthen the determination of influenza alert level. Methods A user-friendly web application was developed to provide common data visualizations and statistical results of outbreak detection methods to all the epidemiologists involved in influenza surveillance at the national level or in the 15 regional units of our agency [2]. keywords: epidemic; influenza; surveillance cache: ojphi-7671.pdf plain text: ojphi-7671.txt item: #944 of 1513 id: ojphi-7672 author: None title: ojphi-7672 date: 2017-04-08 words: 700 flesch: 41 summary: Main signs and symptoms of Zika syndrome definition *Signs and symptoms included in the Centers for Disease Control and Prevention (CDC)’s We identified the main signs and symptoms contributing to the identification of Zika cases and conducted statistical performance metrics. keywords: cases; definition; zika cache: ojphi-7672.pdf plain text: ojphi-7672.txt item: #945 of 1513 id: ojphi-7673 author: None title: ojphi-7673 date: 2017-04-08 words: 729 flesch: 29 summary: 3. Biological method - subcutaneous infection of laboratory animals (white mice) with material from environmental samples and bacterial suspension (for accumulation of tularemia agent in organs and tissues of laboratory animals). 4. Bacteriological method - inoculation of samples of wild and laboratory animals in differential diagnostic nutrient media (for isolation of a pure culture of tularemia agent). keywords: agent; samples; tularemia cache: ojphi-7673.pdf plain text: ojphi-7673.txt item: #946 of 1513 id: ojphi-7674 author: None title: ojphi-7674 date: 2017-04-08 words: 484 flesch: 45 summary: We conducted a retrospective review of AFP surveillance data between 1st January, 2008 and 31st December, 2014. ISDS 2016 Conference Abstracts Acute Flaccid Paralysis Surveillance system Evaluation, Oyo state, Nigeria; 2008-2014 Maureen O. Anyanwu* Epidemiology and Medical statistics, Nigeria Field Epidemiology and Laboratory Training Programme/University of Ibadan, Ibadan/Abuja, Nigeria Objective keywords: afp; surveillance cache: ojphi-7674.pdf plain text: ojphi-7674.txt item: #947 of 1513 id: ojphi-7675 author: None title: ojphi-7675 date: 2017-04-08 words: 835 flesch: 39 summary: This project examines how health care visits requiring additional information are detected using enhanced syndromic surveillance and the resources required from detection through completion. The VOI query utilizes the combined chief complaint and discharge diagnosis (CCDD) field of a visit for keywords related to reportable diseases and exposures of public health interest. keywords: health; surveillance; visits cache: ojphi-7675.pdf plain text: ojphi-7675.txt item: #948 of 1513 id: ojphi-7676 author: None title: ojphi-7676 date: 2017-04-08 words: 644 flesch: 50 summary: Youth aged 19 years and under accounted for 26.1% of VPDs deaths (mortality rate of 0.17 per 100,000 population). Death data indicate that from 2010 to 2012, VPDs accounting for the largest proportion of deaths across all ages include IPD (58.2%), Hi (16.3%) and IMD (15.3%). keywords: vpds; years cache: ojphi-7676.pdf plain text: ojphi-7676.txt item: #949 of 1513 id: ojphi-7677 author: None title: ojphi-7677 date: 2017-04-08 words: 578 flesch: 46 summary: This study provides a glimpse into the number of CRE cases reported in Houston since CREs are classified a separate disease in Texas. An outline Hafeez Rehman*, Imran Shaikh, Kasimu Muhetaer and Salma Khuwaja Houston Health Department, Houston, TX, USA Objective To examine demographic as well as clinical characteristics of the Carbapenam Resistant Enteriobacteriacae (CRE) Organisms cases in Houston, Texas, 2015-2016 Introduction According to CDC, CRE is used to describe bacteria that are non- susceptible to one or more carbapenems; doripenem, meropenem or imipenem and resistant to third generation cephalosporins like ceftriaxone, cefotaxime and ceftazidime. keywords: cases; houston cache: ojphi-7677.pdf plain text: ojphi-7677.txt item: #950 of 1513 id: ojphi-7678 author: None title: ojphi-7678 date: 2017-04-08 words: 808 flesch: 34 summary: ISDS 2016 Conference Abstracts Coordinated Enhanced Surveillance with Healthcare Entities for Mass Gathering Events Erin E. Austin* Division of Surveillance and Investigation, Virginia Department of Health, Richmond, VA, USA Objective To describe the planning strategies and lessons learned by the Virginia Department of Health (VDH) when conducting enhanced surveillance during mass gathering events and coordinating with healthcare entities to distinguish event-related emergency department (ED) visits from community-related ED visits. Although VDH routinely uses syndromic surveillance data to identify issues of public health concern, it has previously lacked the ability to identify ED visits specific to mass gatherings. keywords: gathering; mass; surveillance cache: ojphi-7678.pdf plain text: ojphi-7678.txt item: #951 of 1513 id: ojphi-7679 author: None title: ojphi-7679 date: 2017-04-08 words: 863 flesch: 57 summary: Besculides M, Heffernan R, Mostashari F, Weiss D. Evaluation of school absenteeism data for early outbreak detection, New York City. Correlation of school absenteeism and laboratory results for Flu A in Alberta, Canada Elizabeth Birk-Urovitz*2, 3, Ye Li1, 2, Steven Drews4, 5, Christopher Sikora4, 5, Deena Hinshaw4, 5, Rita K. Biel4, Faiza Habib4, Laura Rivera6, Hussain Usman4, David Strong4, 6 and Ian Johnson1, 2 1Public Health Ontario, Toronto, ON, Canada; 2University of Toronto, Toronto, ON, Canada; 3UC Berkeley, Berkeley, CA, USA; 4Alberta Health Services, Edmonton, AB, Canada; 5University of Alberta, Edmonton, AB, Canada; 6University of Calgary, Calgary, AB, Canada Objective To assess the correlations between weekly rates of elementary school absenteeism due to illness (SAi) and percent positivity for influenza A from laboratory testing (PPFluA) when conducted at a city level from September to December over multiple years. keywords: canada; ppflua; rates; sai cache: ojphi-7679.pdf plain text: ojphi-7679.txt item: #952 of 1513 id: ojphi-7680 author: None title: ojphi-7680 date: 2017-04-08 words: 658 flesch: 51 summary: 21 patients were identified with positive DENV and ZIKV IgM tests, which could represent cross- reactivity between the assays or co-infection. In December 2015, the first endemic case of ZIKV infection was reported by VACHS. keywords: chikv; denv; zikv cache: ojphi-7680.pdf plain text: ojphi-7680.txt item: #953 of 1513 id: ojphi-7681 author: None title: ojphi-7681 date: 2017-04-08 words: 793 flesch: 42 summary: In order to examine sensitivity and specificity of HI test kits, antigens and sera from commercial diagnostic kits were used. The relative sensitivity of HI test kit was 93.5% and the relative specificity - 91.5%. keywords: disease; kit; test cache: ojphi-7681.pdf plain text: ojphi-7681.txt item: #954 of 1513 id: ojphi-7682 author: None title: ojphi-7682 date: 2017-04-08 words: 615 flesch: 42 summary: surveillance across jurisdictions in Arizona’s border region Mariana G. Casal*1, Nicolette Dent1, Jose Arriola2, Victor Dominguez2, Elizabeth Lueck3, George Gentzsch4, Kathleen Walker5, Shelly Jacobs2 and Robert Guerrero1 1Office of Border Health, Arizona Department of Health Services, Tucson, AZ, USA; 2Santa Cruz County Health Department, Nogales, AZ, USA; 3Cochise County Health Department, Bisbee, AZ, USA; 4US Costums and Border Protection, Tucson, AZ, USA; 5University of Arizona Department of Entomology, Tucson, AZ, USA Objective Introduction As part of a statewide effort to enhance surveillance for Aedes spp. mosquitoes (1,2) the Office of Border Health (OBH) took the lead in providing technical assistance on surveillance in counties bordering Mexico. keywords: arizona; border; health cache: ojphi-7682.pdf plain text: ojphi-7682.txt item: #955 of 1513 id: ojphi-7683 author: None title: ojphi-7683 date: 2017-04-08 words: 1020 flesch: 50 summary: When a patient with severe pneumonia is suspected for infection with avian influenza virus, after consultation with at least two senior respiratory physicians from the designated expert panel and gaining their approval, the patient will be reported to local CDC, nasal and pharyngeal swabs will be collected and sent for detection of H5N6 virus by RT-PCR. Introduction Since the emergence of avian influenza A(H7N9) virus in 2013, extensive surveillances have been established to monitor the human infection and environmental contamination with avian influenza virus in southern China. keywords: influenza; virus cache: ojphi-7683.pdf plain text: ojphi-7683.txt item: #956 of 1513 id: ojphi-7684 author: None title: ojphi-7684 date: 2017-04-08 words: 725 flesch: 27 summary: ISDS 2016 Conference Abstracts Facilitating Public Health Action through Surveillance Dashboards Adrienne MacDonald*, Hussain R. Usman, Deena Hinshaw, David P. Meurer and Christopher Sikora Alberta Health Services, Edmonton, AB, Canada Objective To address the limitations of traditional static surveillance reporting by developing in-house infrastructure to create and maintain interactive surveillance dashboards. Introduction Traditionally, public health surveillance departments collect, analyze, interpret, and package information into static surveillance reports for distribution to stakeholders. keywords: data; health; surveillance cache: ojphi-7684.pdf plain text: ojphi-7684.txt item: #957 of 1513 id: ojphi-7685 author: None title: ojphi-7685 date: 2017-04-08 words: 772 flesch: 38 summary: Faced with a lack of mosquito surveillance data to evaluate risk of autochthonous transmission and a few counties statewide that provide comprehensive mosquito control, the DPH rapidly scaled up a response. DPH updated existing mosquito surveillance and response plans targeted for West Nile Virus (WNV) and expanded capacity to areas that lacked previous surveillance targeting the Zika virus vector. keywords: aedes; surveillance cache: ojphi-7685.pdf plain text: ojphi-7685.txt item: #958 of 1513 id: ojphi-7686 author: None title: ojphi-7686 date: 2017-04-08 words: 419 flesch: 44 summary: ISDS 2016 Conference Abstracts Houston Health Department’s response to the threat of Zika virus Eric V. Bakota*, Kirstin Short and Amanda Eckert Health Department, City of Houston, Houston, TX, USA Objective This session will explore the role of the Houston Health Department (HHD) in the City of Houston’s response to the threat of Zika. Initial steps taken by HHD included expanding the capability and capacity of the public health laboratory to test for Zika virus; expand surveillance efforts; created an educational campaign around the “3Ds” of Zika defense (Drain, Dress, DEET) which were then disseminated through several means, including a mass mailing with water bills; and provided DEET to mothers through the WIC program. keywords: houston; zika cache: ojphi-7686.pdf plain text: ojphi-7686.txt item: #959 of 1513 id: ojphi-7688 author: None title: ojphi-7688 date: 2017-04-08 words: 678 flesch: 45 summary: We reviewed ICD-9 codes reported among patients identified through severe acute respiratory infection (SARI) surveillance to compare medical record documentation with medical coding and evaluated ICD-9 codes assigned to patients with influenza detections. Among SARI patients with at least one ARI/P&I code, 66% had their first or only ARI/P&I code in the 1st position, 25% in the 2nd position, and 6% in the 3rd position. keywords: patients; sari cache: ojphi-7688.pdf plain text: ojphi-7688.txt item: #960 of 1513 id: ojphi-7689 author: None title: None date: 2017-04-08 words: 941 flesch: 45 summary: As a series of interventions to control avian influenza transmission in Hong Kong LPMs, local health authority implemented market rest days once every month since mid-2001, and an additional rest day every month since 2003, during which all unsold poultry were slaughtered and the stalls cleaned and disinfected. Based on the parameterized model, we simulated the scenario that water transmission was prohibited to assess the role of transmission via drinking water. keywords: drinking; transmission; water cache: ojphi-7689.pdf plain text: ojphi-7689.txt item: #961 of 1513 id: ojphi-7690 author: None title: ojphi-7690 date: 2017-04-08 words: 772 flesch: 45 summary: Detection of antibodies to avian influenza virus subtype H4 was performed with chicken serum samples by HI test and ELISA. Also, indicators of cell mediated immunity as measured by the CD4 and macrophage markers were higher in LPAIV-infected chickens in the lungs at 14 days post infection compared to uninfected chickens. keywords: cells; chickens; infection cache: ojphi-7690.pdf plain text: ojphi-7690.txt item: #962 of 1513 id: ojphi-7691 author: None title: ojphi-7691 date: 2017-04-08 words: 772 flesch: 42 summary: Ensure all disease reporters use digital reporting methods preferably starting with electronic laboratory reporting directly to the online disease reporting system, with other methods such as direct web data entry into system, faxing lab reports, or secure emailing reports, with no or little hard copy mailing; Centralize incoming email and fax reports (eliminating process steps); Standardize backup staffing procedures for disease reporting staff; Formalize incident command procedures under the authorized person in charge for every incident rather than distribute command between environmental and clinical services; and place communicable disease reporting under that single authority rather than clinical services. Conclusions Improvements in disease reporting decreased the reporting time from over 2 days to less than 1 day on average. keywords: disease; health; ohio; reporting cache: ojphi-7691.pdf plain text: ojphi-7691.txt item: #963 of 1513 id: ojphi-7692 author: None title: ojphi-7692 date: 2017-04-08 words: 677 flesch: 36 summary: Human cases and rodent data were aggregated to match the 20 Finnish health districts over the period 1995-2013 A case study of spatiotemporal modeling of tularemia human incidence and rodent population data from Finnish health care districts during the period 1995-2013 is provided. keywords: cases; data; rodent cache: ojphi-7692.pdf plain text: ojphi-7692.txt item: #964 of 1513 id: ojphi-7693 author: None title: ojphi-7693 date: 2017-04-08 words: 713 flesch: 22 summary: Conclusions Over the past decade, syndromic surveillance systems have become an integral part of public health practice internationally. Benefits included the timeliness of analyses and reporting, potential cost savings, complementing traditional surveillance methods, high sensitivity, versatility, ability to perform short- and long-term surveillance, non-specificity of the systems, ability to fill in gaps of under-reported illnesses, and the collaborations which are fostered through its platform; limitations included the potential resources and costs required, inability to replace traditional healthcare and surveillance methods, the false alerts which may occur, non- specificity of the systems, poor data quality and completeness, time lags in analyses, limited effectiveness at detecting smaller-scale outbreaks, and privacy issues with accessing data. keywords: health; public; surveillance cache: ojphi-7693.pdf plain text: ojphi-7693.txt item: #965 of 1513 id: ojphi-7694 author: None title: ojphi-7694 date: 2017-04-08 words: 794 flesch: 35 summary: Conclusions The utility of Kidenga as a surveillance system will depend on broad and consistent participation among diverse user populations, particularly in low-risk areas; strategies to integrate health reports for high-risk populations who may not have smartphones; validation of data and development of sensitive and specific algorithms for taking public health action, and buy-in from public health departments to use the data and advocate for this novel surveillance tool. At any time, users may also view maps of aggregated user reports, confirmed case counts by county from public health partners (in pilot areas), Aedes distribution maps, information about prevention and control strategies, and news on the diseases and vectors from a curated newsfeed. keywords: health; public; surveillance cache: ojphi-7694.pdf plain text: ojphi-7694.txt item: #966 of 1513 id: ojphi-7695 author: None title: ojphi-7695 date: 2017-04-08 words: 754 flesch: 51 summary: This new surveillance program educates WIC parents about lead, determines the lead levels in children for guardian knowledge (low level) and further follow-up (elevated level), and identifies lead exposures of WIC children with elevated lead tests. For clients with elevated blood lead tests, Epi interviews the case or guardian using an enhanced blood lead exposure questionnaire which asks about potential lead exposures, both in the home and at other locations (work, hobbies, etc.). keywords: lead; testing; wic cache: ojphi-7695.pdf plain text: ojphi-7695.txt item: #967 of 1513 id: ojphi-7696 author: None title: ojphi-7696 date: 2017-04-08 words: 810 flesch: 38 summary: ISDS 2016 Conference Abstracts MERS PUI Surveillance and Restrospective Identification in ESSENCE-FL, 2013-2015 Julia G. Munroe*, Rachael Straver, Heather Rubino, Scott Pritchard, David Atrubin and Janet J. Hamilton Florida Department of Health, Tallahassee, FL, USA Objective To retrospectively identify initial emergency department (ED) and urgent care center (UCC) visits for Florida’s Middle East respiratory syndrome coronavirus disease (MERS-CoV) patients under investigation (PUIs) in the Florida Department of Health’s (DOH) syndromic surveillance system, the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE-FL), using information gathered from PUI case report forms and corresponding medical records for the purpose of improving syndromic surveillance for MERS-CoV. Retrospectively, additional documents including medical records and discharge summaries were gathered and utilized to evaluate PUIs identified in ESSENCE-FL. Name of the facility where PUIs presented, date and time of visit, age at event, and sex were identified using PUI case report forms and corresponding medical records and discharge summaries. keywords: essence; mers cache: ojphi-7696.pdf plain text: ojphi-7696.txt item: #968 of 1513 id: ojphi-7697 author: None title: ojphi-7697 date: 2017-04-08 words: 679 flesch: 41 summary: Keywords Bayesian multilevel model; spatial variability; temporal variability; Influenza like illness References 1. One common question of big data analysis is most of the data have the multilevel or hierarchy structure, in other word the big data are non-independent. keywords: data; model; months cache: ojphi-7697.pdf plain text: ojphi-7697.txt item: #969 of 1513 id: ojphi-7698 author: None title: ojphi-7698 date: 2017-04-08 words: 815 flesch: 51 summary: ISDS 2016 Conference Abstracts Monitoring for Local Transmission of Zika Virus using Emergency Department Data Amanda Wahnich*, Ramona Lall and Don Weiss Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Queens, NY, USA Objective Case and cluster identification of emergency department visits related to local transmission of Zika virus. Local transmission of Zika virus from imported cases is possible due to presence of Aedes albopictus mosquitos. keywords: virus; visits; zika cache: ojphi-7698.pdf plain text: ojphi-7698.txt item: #970 of 1513 id: ojphi-7699 author: None title: ojphi-7699 date: 2017-04-08 words: 703 flesch: 48 summary: Additionally, in several weeks mortality was increased in 65-74 year olds, (weeknr 4-6; peaking in week 4 with 564 deaths, when 468 baseline deaths were predicted). Excess mortality was primarily observed in persons 75 or older. keywords: deaths; mortality cache: ojphi-7699.pdf plain text: ojphi-7699.txt item: #971 of 1513 id: ojphi-7701 author: None title: ojphi-7701 date: 2017-04-08 words: 726 flesch: 41 summary: For example, kindergarten absences explained 22.1% of model deviance compared to 0.43% using 12th grade absences in validation. ISDS 2016 Conference Abstracts Predicting virologically confirmed influenza using school absences in PA Talia Quandelacy*2, Shanta Zimmer3, 4, Chuck Vukotich3, Rachael Bieltz3, Kyra Grantz1, David Galloway3, Justin Lessler2, Yenlik Zheteyeva5, Amra Uzicanin5, Hongjiang Gao5 and Derek Cummings1, 2 1Biology, University of Florida, Gainesville, FL, USA; 2Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; 3School of Medicine, University of Pittsburgh, USA, Pittsburgh, PA, USA; 4University of Colorado School of Medicine, Department of Medicine, Denver, CO, USA; 5US Centers for Disease Control, Atlanta, GA, USA Objective To determine if all-cause and cause-specific school absences improve predictions of virologically confirmed influenza in the community. keywords: absences; influenza; school cache: ojphi-7701.pdf plain text: ojphi-7701.txt item: #972 of 1513 id: ojphi-7702 author: None title: None date: 2017-04-08 words: 913 flesch: 38 summary: Suspect rabies cases in animals (black) and human exposures (red) on Pemba Island, from 2010 to 2015 Estimated vaccination coverage of the dog population (shading) in villages on Pemba, and suspected animal rabies cases (dots) since 2010 following each vaccination campaign from 2011 to date. Similarly, Re declined from 1.02 to 0 and a significant relationship was found with rabies cases decreasing with increasing vaccination coverage (p = 0.013, Figure 2). keywords: cases; pemba; rabies; tanzania cache: ojphi-7702.pdf plain text: ojphi-7702.txt item: #973 of 1513 id: ojphi-7703 author: None title: ojphi-7703 date: 2017-04-08 words: 704 flesch: 48 summary: Conclusions The CH - ED has higher baseline ILI rates compared to other settings, as well as the CDC Region 5’s baseline (1.9% for 2015- 2016). In addition, differences in baseline ILI rates between AMC - ED, AMC - Clinics, and CH - Clinics may result in different thresholds for widespread ILI activity (i.e., Average + 3 Standard Deviations). keywords: amc; clinics; ili cache: ojphi-7703.pdf plain text: ojphi-7703.txt item: #974 of 1513 id: ojphi-7704 author: None title: ojphi-7704 date: 2017-04-08 words: 620 flesch: 37 summary: Influenza B was significantly associated with respiratory deaths and circulatory deaths in the oldest age group of 75+ years (with proportions of 0.7% and 0.2% respectively) while in the 65-74 year olds it was associated only with circulatory deaths (0.2%). Methods Using primary cause of death (Statistics Netherlands) we modeled weekly timeseries of 1) respiratory deaths (ICD10 codes J00-J99) and 2) circulatory deaths (ICD10 codes I00-I99). keywords: deaths; influenza cache: ojphi-7704.pdf plain text: ojphi-7704.txt item: #975 of 1513 id: ojphi-7705 author: None title: ojphi-7705 date: 2017-04-08 words: 807 flesch: 51 summary: Keywords Legionella; cluster detection; SaTScan Acknowledgments Martin Kulldorff suggested using multiple coordinates per location in SaTScan. We mimicked prospective surveillance to determine when the September 2015 cluster would have been detected had this analysis been in place, by performing daily SA and MA analyses from September 21 (when the first outbreak-linked case was reported) to September 29 (when the initial SaTScan analysis signaled). keywords: case; cluster; days cache: ojphi-7705.pdf plain text: ojphi-7705.txt item: #976 of 1513 id: ojphi-7706 author: None title: ojphi-7706 date: 2017-05-02 words: 499 flesch: 45 summary: ISDS 2016 Conference Abstracts Sustaining community event-based surveillance in Sierra Leone Eilidh M. Higgins*, Erin Polich, Maitreyi Sahu, Stacey Mearns and Ruwan Ratnayake International Rescue Committee, Freetown, Sierra Leone Objective To assess whether the change in death swabbing policy in Sierra Leon has begun to affect community death reporting, we analyzed trends in death reporting before and after the policy change. Weekly changes in the reporting of death alerts during the two periods were assessed. keywords: death; policy cache: ojphi-7706.pdf plain text: ojphi-7706.txt item: #977 of 1513 id: ojphi-7707 author: None title: ojphi-7707 date: 2017-04-08 words: 663 flesch: 37 summary: Statewide Flag Analysis: Is intended to detect statewide flags, by using the Charts capability in SendSS SS. Responding to Syndromic Surveillance Alerts: An Adaptable Protocol for Georgia Health Districts. keywords: health; surveillance cache: ojphi-7707.pdf plain text: ojphi-7707.txt item: #978 of 1513 id: ojphi-7708 author: None title: ojphi-7708 date: 2017-04-08 words: 547 flesch: 43 summary: ISDS 2016 Conference Abstracts Using Syndromic Surveillance Data to Monitor Endocarditis and Sepsis among Drug Users Lana Deyneka*1, Anne Hakenewerth1, Zachary Faigen1, Amy Ising2 and Clifton Barnett2 1Epidemiology, NCDPH, Raleigh, NC, USA; 2UNC, Chapel hill, NC, USA Objective To describe how the state syndromic surveillance system (NC DETECT) was used to initiate near real time surveillance for endocarditis, sepsis and skin infection among drug users. Conclusions NC DETECT’s system flexibility has been important in rapidly establishing surveillance of infections among drug users. keywords: drug; endocarditis; surveillance cache: ojphi-7708.pdf plain text: ojphi-7708.txt item: #979 of 1513 id: ojphi-7709 author: None title: ojphi-7709 date: 2017-04-08 words: 877 flesch: 55 summary: Reconstructing Zika Introduction in Brazil Kate Zinszer2, Kathryn Morrison1, John S. Brownstein2, 4, Fatima Marinho5, Santos F. Alexandre5 and Elaine O. Nsoesie*3 1McGill University, Montreal, QC, Canada; 2Boston Children’s Hospital, Boston, MA, USA; 3University of Washington, Seattle, WA, USA; 4Harvard Medical School, Boston, MA, USA; 5Ministry of Health, Brasilia, Brazil Objective To estimate the velocity of Zika virus disease spread in Brazil using data on confirmed Zika virus disease cases at the municipal-level. Introduction Local transmission of Zika virus has been confirmed in 67 countries worldwide and in 46 countries or territories in the Americas (1,2). keywords: brazil; health; virus; zika cache: ojphi-7709.pdf plain text: ojphi-7709.txt item: #980 of 1513 id: ojphi-7710 author: None title: None date: 2017-04-08 words: 890 flesch: 44 summary: Despite the significant risk of morbidity and mortality associated with CO poisoning, existing surveillance systems in the United States are limited. A dataset of unique patient encounters with CO poisoning was compiled and further classified as accidental, self-harm or unspecified. keywords: patients; poisoning cache: ojphi-7710.pdf plain text: ojphi-7710.txt item: #981 of 1513 id: ojphi-7711 author: None title: ojphi-7711 date: 2017-04-08 words: 763 flesch: 44 summary: Conclusions Having death record data readily available within the state syndromic surveillance system is beneficial for rapid analysis of mortality trends and the analytic methods used for syndromic surveillance can be applied to mortality data. ESSENCE-FL has the benefit of not only receiving death record data in near real-time, but also receiving the literal cause of death fields. keywords: death; mortality cache: ojphi-7711.pdf plain text: ojphi-7711.txt item: #982 of 1513 id: ojphi-7712 author: None title: ojphi-7712 date: 2017-04-08 words: 732 flesch: 42 summary: ISDS 2016 Conference Abstracts Creation of a Kansas Spring Extreme Weather Syndrome Definition and Unique Records Zachary M. Stein* Bureau of Epidemiology and Public Health Informatics, Kansas Department of Health and Environment, Topeka, KS, USA Objective To evaluate syndrome definitions capturing storm- and extreme weather-related emergency department visits in Kansas hospitals participating in the National Syndromic Surveillance Program (NSSP). This broad definition pulled records from Kansas EDs that included the following in the Chief Complaint or Triage Notes fields: ●Storm ●Rain ●Torna(dos) keywords: health; kansas; syndrome cache: ojphi-7712.pdf plain text: ojphi-7712.txt item: #983 of 1513 id: ojphi-7713 author: None title: ojphi-7713 date: 2017-04-08 words: 540 flesch: 46 summary: ISDS 2016 Conference Abstracts Development and pilot study road traffic injury surveillance, Kaduna Nigeria Obafemi J. Babalola* Residence Cohort VI, Nigeria Field Epidemiology and Laboratory training pro, KADUNA STATE, Nigeria Objective We pilot a RTI surveillance system using data from FRSC, Police motor traffic division and Health facilities in Kaduna metropolis, Nigeria to ascertain its feasibility and generate data needed for action toward achieving sustainable development goals 3.6 target. We acknowledge the United States Centre for Disease Control and Prevention, Nigeria Field Epidemiology and Laboratory Training Program, Kaduna State Ministry of Health, Kaduna Nigeria, Nigeria Police motor Traffic division and Federal Road Safety Corps, Kaduna Sector Command, Kaduna, Nigeria *Obafemi J. Babalola E-mail: drfemibabs@yahoo.com keywords: kaduna; nigeria; rti cache: ojphi-7713.pdf plain text: ojphi-7713.txt item: #984 of 1513 id: ojphi-7714 author: None title: ojphi-7714 date: 2017-04-08 words: 750 flesch: 46 summary: The registry collects data on cases of cancer occurring among residents of the Kumasi Metropolitan area of Ghana. Methods The registry has a designed abstraction form which is used to collect data. keywords: cancer; data; registry cache: ojphi-7714.pdf plain text: ojphi-7714.txt item: #985 of 1513 id: ojphi-7715 author: None title: None date: 2017-04-08 words: 810 flesch: 30 summary: Mass administration of dietary surveys is impractical and prohibitory expensive, and surveys typically fail to address variation of food selection at high geographic resolution. In this study, we generated a spatial profile of food selection from estimated sales in food outlets in the Census Metropolitan Area (CMA) of Montreal, Canada, using regular carbonated soft drinks (i.e. non-diet soda) as an initial example. keywords: food; grocery; health cache: ojphi-7715.pdf plain text: ojphi-7715.txt item: #986 of 1513 id: ojphi-7716 author: None title: ojphi-7716 date: 2017-04-08 words: 763 flesch: 47 summary: Conclusions Unintentional injuries were the most common form of firearm injury among VHA enrollees, representing over half of all outpatient/ED firearm encounters and more than twice the number of firearm hospitalizations compared with any other manner/intent. VHA firearm admission rate was 1.63 per 10,000 VHA admissions, compared to a national rate of 1.96 per 10,000 in 2010.7 Table 1 shows the breakdown of encounters by manner/intent. keywords: firearm; injury; veterans; vha cache: ojphi-7716.pdf plain text: ojphi-7716.txt item: #987 of 1513 id: ojphi-7718 author: None title: ojphi-7718 date: 2017-04-08 words: 750 flesch: 50 summary: This feature used Fisher’s Exact Test to test frequencies of individual chief complaint terms relative to all terms in a 1-month baseline. While accomplishing its initial goal of triggering abnormal non-syndromic term usage, the additional ability to find new misspellings and abbreviations may have even larger impact by keeping syndrome and subsyndrome definitions up-to-date over time for traditional syndromic alerting. keywords: feature; terms; users cache: ojphi-7718.pdf plain text: ojphi-7718.txt item: #988 of 1513 id: ojphi-7719 author: None title: ojphi-7719 date: 2017-04-08 words: 802 flesch: 45 summary: Solutions for future reports include additional explanatory text, limiting the report to only county data, and alternative visualizations that highlight the differences in visit magnitude. The Oregon Public Health Division (PHD) and Lane County Public Health (LCPH) participated in pre-event planning and collaborated to produce a daily epidemiology report for the Incident Management Team (IMT) during the event. keywords: county; health; report cache: ojphi-7719.pdf plain text: ojphi-7719.txt item: #989 of 1513 id: ojphi-7720 author: None title: ojphi-7720 date: 2017-04-08 words: 626 flesch: 45 summary: Using NYC ED syndromic surveillance data from 2003-2015, we applied previously developed definitions for general psychiatric syndromes. Conclusions We conclude that syndromic surveillance data can provide a reliable indicator of mental health-related ED visit trends. keywords: data; health cache: ojphi-7720.pdf plain text: ojphi-7720.txt item: #990 of 1513 id: ojphi-7721 author: None title: ojphi-7721 date: 2017-04-08 words: 828 flesch: 56 summary: Although the majority of cases were identified using the CC field, additional data fields such as triage notes available from some hospitals improve the ability to elicit fire related visits. ISDS 2016 Conference Abstracts Monitoring the 2016 LA County Sand Fire with Multiple Early Detection Systems Rachel Viola*, Monica Z. Luarca, Emily Kajita, Michael Lim and Bessie Hwang Acute Communicable Disease Control, Los Angeles County Department of Public Health, Los Angeles, CA, USA Objective To detect increases in health complaints resulting from the July 2016 Sand Fire near Santa Clarita, CA using syndromic surveillance and complementary systems. keywords: fire; sand; visits cache: ojphi-7721.pdf plain text: ojphi-7721.txt item: #991 of 1513 id: ojphi-7722 author: None title: ojphi-7722 date: 2017-04-08 words: 683 flesch: 51 summary: CPC calls were also categorized by type of call – exposure calls versus information calls – in order to determine why people call CPC and to assess if any trends exist amongst these categories. However, the total number of information calls decreased each year going from just over 40,000 to only about 5,000. keywords: calls; cpc; poison cache: ojphi-7722.pdf plain text: ojphi-7722.txt item: #992 of 1513 id: ojphi-7723 author: None title: None date: 2017-04-08 words: 746 flesch: 36 summary: This work is policy relevant because alternatives to opioid prescription such as meditation, pain management therapies may be relevant. We use these findings to explore the impact of the 2013 rule mandating doctors share opioid prescription information on the incidence of opioid related death and hospital charges associated with opioid prescriptions. keywords: health; opioid; prescription cache: ojphi-7723.pdf plain text: ojphi-7723.txt item: #993 of 1513 id: ojphi-7724 author: None title: ojphi-7724 date: 2017-04-08 words: 824 flesch: 38 summary: https://www. youtube.com/watch?v=jjLT3pLLW-U Conclusions Coconut Surveillance Plus solves an absence of a real-time mobile decision support disease surveillance and response system that can be used for Ebola and other infectious diseases in countries with limited surveillance infrastructure. It receives suspected positive case alerts from the field via mobile phones and uses mobile software to guide surveillance officers through a follow-up process. keywords: coconut; surveillance; system cache: ojphi-7724.pdf plain text: ojphi-7724.txt item: #994 of 1513 id: ojphi-7725 author: None title: ojphi-7725 date: 2017-04-08 words: 923 flesch: 39 summary: Harmonisation of surveillance methods across different international jurisdictions is possible and there is the potential for future cross border surveillance and harmonisation of methods between countries to improve international health surveillance and early warning of potential public health threats affecting multiple countries. ISDS 2016 Conference Abstracts Syndromic surveillance of air pollution incidents across international borders Helen Hughes*1, 2, 3, Alec Dobney1, Anne Fouillet6, Céline Caserio-Schönemann6, Thomas Hughes4, 5, Gillian E. Smith1 and Alex J. Elliot1 1Public Health England, Birmingham, United Kingdom; 2The Farr Institute @ HeRC, Liverpool, United Kingdom; 3NIHR Health Protection Research Unit in Gastrointestinal Infections, Liverpool, United Kingdom; 4John Radcliffe Hospital, Oxford, United Kingdom; 5Royal College of Emergency Medicine, London, United Kingdom; 6Santé publique France, Paris, France Objective To assess the impact on human health observed in association with periods of poor air quality which extended across international borders, affecting both London (UK) and Paris (France). keywords: health; london; paris; surveillance cache: ojphi-7725.pdf plain text: ojphi-7725.txt item: #995 of 1513 id: ojphi-7726 author: None title: ojphi-7726 date: 2017-04-08 words: 616 flesch: 22 summary: Conclusions The CCDSS distributed analytic protocol offers one model for national chronic disease surveillance that has been successfully implemented and sustained by PHAC and its P/T partners. Many lessons have been learned about national chronic disease surveillance involving jurisdictions that are heterogeneous with respect to healthcare databases, expertise, and population characteristics. keywords: disease; health cache: ojphi-7726.pdf plain text: ojphi-7726.txt item: #996 of 1513 id: ojphi-7727 author: None title: ojphi-7727 date: 2017-04-08 words: 766 flesch: 38 summary: Before implementing syndromic surveillance through Oregon ESSENCE, assessing the health effects of wildfires in real time was very challenging. Oregon ESSENCE also integrated the evaluation findings into the summer 2016 statewide wildfire surveillance plan. keywords: health; oregon; surveillance; wildfire cache: ojphi-7727.pdf plain text: ojphi-7727.txt item: #997 of 1513 id: ojphi-7732 author: None title: ojphi-7732 date: 2017-04-08 words: 867 flesch: 45 summary: The first and second definitions were based on querying the chief complaint (CC) field for search terms associated with alcohol use and alcohol abuse or intoxication respectively. Results A total of 126 cases were detected by using the first definition (CC search terms for alcohol use); 61% (50/82) of these identified alcohol abuse-related diagnostic codes. keywords: alcohol; health; underage cache: ojphi-7732.pdf plain text: ojphi-7732.txt item: #998 of 1513 id: ojphi-7733 author: None title: ojphi-7733 date: 2017-04-08 words: 776 flesch: 46 summary: We analyzed 2013 drug overdose death toxicology reports to determine if they could improve the description of drug overdose deaths in our community and to describe associated data characteristics. The majority of drug overdose deaths, 18 (53%), did not have full information about the type of drug involved. keywords: deaths; drug; overdose cache: ojphi-7733.pdf plain text: ojphi-7733.txt item: #999 of 1513 id: ojphi-7734 author: None title: ojphi-7734 date: 2017-04-08 words: 635 flesch: 44 summary: Conclusions It is possible to identify emergency department visits associated with e-cigarette use utilizing SyS data. More visits were identified using SyS data than poison control data, although neither source identified many occurrences of adverse outcomes related to e-cigarettes. keywords: data; visits cache: ojphi-7734.pdf plain text: ojphi-7734.txt item: #1000 of 1513 id: ojphi-7735 author: None title: ojphi-7735 date: 2017-04-08 words: 739 flesch: 44 summary: We also developed a connection between EDIE and PMP data through the HIE. Methods Increased provider utilization of the PMP will be achieved by using the HIE to create more seamless access to PMP data through providers’ EHRs and through the EDIE system. Improved access to PMP data benefits providers by allowing them to check the history of transactions linked to their DEA numbers, which can alert them to fraudulent prescriptions. keywords: data; pmp; providers cache: ojphi-7735.pdf plain text: ojphi-7735.txt item: #1001 of 1513 id: ojphi-7737 author: None title: None date: 2017-04-08 words: 946 flesch: 23 summary: Since funding for animal health surveillance is limited, integrating animal data into existing, well-established human health surveillance systems would reduce the resources needed while still providing the advanced capabilities that are available for human health surveillance. Preliminary discussions with key practitioners revealed clearly that there are monumental gaps in animal health surveillance and it frequently limits their ability to rapidly respond to potential disease risks within their animal population of concern. keywords: animal; health; surveillance cache: ojphi-7737.pdf plain text: ojphi-7737.txt item: #1002 of 1513 id: ojphi-7738 author: None title: ojphi-7738 date: 2017-04-08 words: 721 flesch: 45 summary: Infection of wild boar populations provides an alternative or additional route for spillover from wild populations to domestic animals and humans. Conclusions This preliminary survey of IA antibodies in wild boar populations of northern Ukraine indicates a substantial presence of exposure to IAV throughout the region. keywords: boars; wild cache: ojphi-7738.pdf plain text: ojphi-7738.txt item: #1003 of 1513 id: ojphi-7739 author: None title: None date: 2017-04-08 words: 884 flesch: 45 summary: Set up of the real time PCR reactions and parameters of amplifications are indicated in the instruction to the kit. The performance of comparative analysis of sensitivity and results of detection of avian influenza virus by real time polymerase chain reaction (PCR-RT) and loop-mediated isothermal amplification of the nucleic acids (LAMP) was the main goal of the study. keywords: influenza; lamp; pcr cache: ojphi-7739.pdf plain text: ojphi-7739.txt item: #1004 of 1513 id: ojphi-7740 author: None title: ojphi-7740 date: 2017-04-08 words: 686 flesch: 40 summary: Results Overall, 35.9% of frogs sampled from the Hanwa frog market were positive for Cryptosporidium oocysts. Keywords Cryptosporidium oocysts; Rana frogs; Zaria Nigeria; public health Acknowledgments keywords: cryptosporidium; frogs; oocysts cache: ojphi-7740.pdf plain text: ojphi-7740.txt item: #1005 of 1513 id: ojphi-7741 author: None title: ojphi-7741 date: 2017-04-08 words: 692 flesch: 33 summary: Dynamics of anthrax cases in humans in Ukraine during 1945 – 2015 (absolute numbers) Table 2. Since 1950, significant reduction of incidence of human anthrax has been being recorded in Ukraine. keywords: anthrax; ukraine cache: ojphi-7741.pdf plain text: ojphi-7741.txt item: #1006 of 1513 id: ojphi-7742 author: None title: ojphi-7742 date: 2017-04-08 words: 497 flesch: 44 summary: The majority of cases were found in East Georgia (94.2%) and 5.8% of cases in West Georgia (representing new foci of VL in Georgia). Our study revealed a high prevalence of VL in humans and dogs in East Georgia. keywords: georgia cache: ojphi-7742.pdf plain text: ojphi-7742.txt item: #1007 of 1513 id: ojphi-7743 author: None title: ojphi-7743 date: 2017-04-08 words: 706 flesch: 26 summary: In combination with additional review methodologies from the literature review, a systematic and uniform approach to data stream evaluation was identified for future use. Conclusions The regular evaluation of syndromic surveillance data streams in animal health is necessary to make best use of resources and maximize benefits of data stream use. keywords: data; health; surveillance cache: ojphi-7743.pdf plain text: ojphi-7743.txt item: #1008 of 1513 id: ojphi-7744 author: None title: ojphi-7744 date: 2017-04-08 words: 621 flesch: 42 summary: on backyard production systems (BPS) with poultry or swine breeding in central Chile Introduction Characteristics and conditions of backyard production systems (BPS) transform them into potential maintainers of priority zoonotic agents, like Salmonella spp., highly important agent because of its impact in animal and public health (1). ISDS 2016 Conference Abstracts First detection of Salmonella spp. keywords: bps; chile; salmonella cache: ojphi-7744.pdf plain text: ojphi-7744.txt item: #1009 of 1513 id: ojphi-7749 author: None title: ojphi-7749 date: 2017-04-08 words: 644 flesch: 46 summary: Thus domestic animals in Georgia have a potential chance to contract influenza viruses from wild birds. Conclusions In spite of the negative findings, we cannot exclude the circulation of influenza viruses in domestic animals in Georgia. keywords: georgia; influenza; pigs cache: ojphi-7749.pdf plain text: ojphi-7749.txt item: #1010 of 1513 id: ojphi-7750 author: None title: None date: 2017-04-08 words: 775 flesch: 40 summary: Brucellosis monitoring results, 2013 Brucellosis monitoring results, 2014 keywords: brucellosis; oblast cache: ojphi-7750.pdf plain text: ojphi-7750.txt item: #1011 of 1513 id: ojphi-7751 author: None title: ojphi-7751 date: 2017-04-08 words: 944 flesch: 51 summary: There was a marked decline in rabies antibody titre with increase in time. All the exotic breed of dogs had rabies antibody titre ≥ 0.6EU/ml whilst 37 (77.1%) of the indigenous breed of dogs had less than 0.6 EU/ml levels of rabies antibody titre. keywords: antibody; dogs; rabies cache: ojphi-7751.pdf plain text: ojphi-7751.txt item: #1012 of 1513 id: ojphi-7752 author: None title: ojphi-7752 date: 2017-04-08 words: 394 flesch: 35 summary: Public health interventions can focus on livestock surveillance and control in identified areas. ISDS 2016 Conference Abstracts Regional study of anthrax foci Marina Nikolaishvili*, Marina Zakareishvili, Irma Beradze, M donduashvili, Nino Vepkhvadze, Lela Kerdzevadze and Maka Kokhreidze Laboratory for the Ministry of Agriculture, Tbilisi, Georgia Objective The purpose of this study was to describe anthrax foci along the Georgia-Azerbaijan border and to describe control measures in identified areas. keywords: anthrax; study cache: ojphi-7752.pdf plain text: ojphi-7752.txt item: #1013 of 1513 id: ojphi-7753 author: None title: ojphi-7753 date: 2017-04-08 words: 467 flesch: 37 summary: Keywords Emerging diseases; Re-emerging diseases; Zoonotic diseases; Crimean-Congo hemorrhagic fever Acknowledgments ISDS 2016 Conference Abstracts Seroprevalence of zoonotic diseases among farm animals in Kvemo Kartli (Georgia) K Goginashvili*1, M donduashvili1, Gaga Osiashvili1, Ryan Arner2 and Lile Malania3 1Laboratory of the Ministry of Agriculture, Tbilisi, Georgia; 2Metabiota Inc, San Fransisco, CA, USA; 3National Center for Disease Control and Public Health, Tbilisi, Georgia Objective The purpose of this research was to study the seroprevalence of zoonotic diseases among farm animals in the Kvemo Kartli region of Georgia. keywords: diseases; georgia cache: ojphi-7753.pdf plain text: ojphi-7753.txt item: #1014 of 1513 id: ojphi-7754 author: None title: ojphi-7754 date: 2017-04-08 words: 549 flesch: 48 summary: Historical surveys confirmed that the presence of C. botulinum in the soil is widespread. Some researchers consider C. botulinum a characteristic component of soil flora. keywords: botulinum cache: ojphi-7754.pdf plain text: ojphi-7754.txt item: #1015 of 1513 id: ojphi-7755 author: None title: None date: 2017-04-08 words: 853 flesch: 38 summary: The world flu centers confirmed the isolates to be influenza virus strain A/California/(H1N1)/07/2009. Fig.3 Data on the determined pandemic flu virus strains (RNA of influenza A/H1-swine virus) using PCR during epidemiological seasons from 2009 to 2016 in Dnipropetrovsk Oblast, Ukraine Frequency of pandemic influenza virus detection declined to zero in the following epidemic seasons (2010-2011 and 2011-2012). keywords: influenza; pandemic; virus cache: ojphi-7755.pdf plain text: ojphi-7755.txt item: #1016 of 1513 id: ojphi-7756 author: None title: ojphi-7756 date: 2017-04-08 words: 640 flesch: 39 summary: ISDS 2016 Conference Abstracts The prevalence of rabies cases in the territory of Azerbaijan, January 2015-June 2016 Nigar Safi*, Kliment Asadov, Shalala K. Zeynalova, Eldar Gasanov and Natig Javadov State Veterinary Control Service, Baku, Azerbaijan Objective to show the instability of an epizootic situation on rabies cases of animals in the Republic of Azerbaijan, on the example of the cases analysis in Electronic Integrated Disease Surveillance System (EIDSS) electronic reporting system Introduction Rabies is an infectious disease which was and remains to be one of the most serious diseases of all species of hematothermal animals and humans, in many regions of the world. Methods On the basis of the data on rabies cases entered in special forms and also aggregative data collected on anti-rabies vaccination, the analysis of information on quantity of cases and their prevalence on administrative and territorial units (rayons) of the country is carried out. keywords: cases; rabies cache: ojphi-7756.pdf plain text: ojphi-7756.txt item: #1017 of 1513 id: ojphi-7757 author: None title: ojphi-7757 date: 2017-04-08 words: 705 flesch: 48 summary: ISDS 2016 Conference Abstracts What do we know about the behavior of animal rabies in Chile trough the last years? Raul Alegria-Moran*1, 2, 3, Daniela Miranda1, Alonso Parra4, 3 and Lisette Lapierre1, 3 1Department of Preventive Veterinary Medicine, Faculty of Veterinary and Animal Science, Universidad de Chile, Santiago, Chile; 2PhD Program in Agriculture, Forestry and Veterinary Science, Universidad de Chile, Santiago, Chile; 3Emerging and Re-emerging Zoonoses Research Network, Santiago, Chile; 4Unit of Zoonosis and Vectors, Department of Environmental Health, Ministerio de Salud, Gobierno de Chile, Santiago, Chile Objective There is a significant spatial autocorrelation of animal rabies cases in the central zone of Chile. keywords: cases; chile; rabies cache: ojphi-7757.pdf plain text: ojphi-7757.txt item: #1018 of 1513 id: ojphi-7758 author: None title: ojphi-7758 date: 2017-04-08 words: 633 flesch: 22 summary: Levels of carbon oxide air contamination within rayons of Lviv oblast Morbidity intensity rates for purulent bacterial meningitis were determined for the same period according to statistical reports on infectious disease morbidity in Lviv oblast. Correlation dependencies between air contamination and population morbidity rates for purulent bacterial meningitis within rayons of Lviv oblast. keywords: oblast cache: ojphi-7758.pdf plain text: ojphi-7758.txt item: #1019 of 1513 id: ojphi-7759 author: None title: None date: 2017-04-08 words: 797 flesch: 44 summary: Introduction Hand-foot-mouth disease (HFMD) is a common childhood illness and the drivers of HFMD incidence are still not clear [1]. The objective of this study was to examine spatial heterogeneity for the association between HFMD incidence and demographic and socioeconomic factors. keywords: beijing; china; hfmd cache: ojphi-7759.pdf plain text: ojphi-7759.txt item: #1020 of 1513 id: ojphi-7760 author: None title: ojphi-7760 date: 2017-04-08 words: 739 flesch: 39 summary: ISDS 2016 Conference Abstracts Exploring the Distribution of Coccidioides immitis in South Central Washington State Wayne Clifford* Department of Health, Washington State, Olympia, WA, USA Objective Our objective is to describe the environmental conditions associated with confirmed Coccidioides immitis growth and accumulation sites in south central Washington in an effort to understand the ecology and identify additional potential sites across this emerging endemic zone. These species have historically been found in the desert southwest and Mexico; however, in 2010 there were three coccidioidomycosis cases identified in central Washington. keywords: central; coccidioides; immitis; washington cache: ojphi-7760.pdf plain text: ojphi-7760.txt item: #1021 of 1513 id: ojphi-7761 author: None title: ojphi-7761 date: 2017-04-08 words: 831 flesch: 32 summary: Considering the ways in which medical claims are generated, biases may arise from healthcare-seeking behavior, insurance coverage, and medical claims database coverage in study populations. Conclusions We present a flexible modeling approach that applies to different medical claims diagnosis codes and disease surveillance data and demonstrates the utility of Bayesian hierarchical models for large- scale ecological analyses. keywords: claims; data; influenza; medical cache: ojphi-7761.pdf plain text: ojphi-7761.txt item: #1022 of 1513 id: ojphi-7762 author: None title: ojphi-7762 date: 2017-04-08 words: 350 flesch: 22 summary: Since its formation in 2005, the International Society for Disease Surveillance (ISDS) has sought to clarify and coordinate global priorities in surveillance research. As part of a practitioner-driven initiative to identify current research priorities in SyS, ISDS polled its members about capabilities needed by SyS practitioners that could be improved as a result of research efforts. keywords: research; surveillance cache: ojphi-7762.pdf plain text: ojphi-7762.txt item: #1023 of 1513 id: ojphi-7763 author: None title: ojphi-7763 date: 2017-04-08 words: 466 flesch: 33 summary: On the other hand, studies using administrative data may help public health programs better understand how NSSP data could enhance their surveillance activities. ISDS 2016 Conference Abstracts Administrative and syndromic surveillance data can enhance public health surveillance Tara C. Anderson*, Hussain Yusuf, Amanda McCarthy, Katrina Trivers, Peter Hicks, Michael Coletta and Violanda Grigorescu Division of Health Informatics and Surveillance, Center for Surveillance, Epidemiology, and Laboratory Services, Office of Public Health Scientific Services, Centers for Disease Control and Prevention, Atlanta, GA, USA Objective This roundtable will address how multiple data sources, including administrative and syndromic surveillance data, can enhance public health surveillance activities at the local, state, regional, and national levels. keywords: data; surveillance cache: ojphi-7763.pdf plain text: ojphi-7763.txt item: #1024 of 1513 id: ojphi-7764 author: None title: None date: 2017-04-08 words: 524 flesch: 38 summary: This report summarizes the demographic characteristics of DoD health encounter visits. This data includes demographic characteristics and diagnosis codes for health encounter visits of Military Health System beneficiaries, including active duty, active duty family members, retirees, and retiree family members. keywords: data; health cache: ojphi-7764.pdf plain text: ojphi-7764.txt item: #1025 of 1513 id: ojphi-7765 author: None title: ojphi-7765 date: 2017-04-08 words: 754 flesch: 51 summary: Methods In Reunion Island, syndromic surveillance system is based on OSCOUR® network (Organisation de la surveillance coordonnée des urgences) that collects data from all emergency departments of the island. What is syndromic surveillance? keywords: health; island; surveillance cache: ojphi-7765.pdf plain text: ojphi-7765.txt item: #1026 of 1513 id: ojphi-7766 author: None title: ojphi-7766 date: 2017-04-08 words: 922 flesch: 39 summary: Mother’s educational status, family setting, knowledge, perception and practices about immunization are important factors that influence access to information on routine immunization. To determine the sources of information on routine immunization among mothers/caregivers of children aged 12-23months in the study area Introduction Immunization is one of the safest and most effective interventions to prevent disease and early child death1. keywords: children; health; immunization; nigeria cache: ojphi-7766.pdf plain text: ojphi-7766.txt item: #1027 of 1513 id: ojphi-7767 author: None title: None date: 2017-04-08 words: 831 flesch: 40 summary: ISDS 2016 Conference Abstracts Spatial analysis of SS population coverage based on emergency regional healthcare Esra Morvan*, Bernadou Anne, Ludivine Gautier, Yassungo Silue and Dominique Jeannel Regional office, Sante publique France, Orléans, France Objective To analyse population coverage of syndromic surveillance(SS) based on emergency care data by studying i)the attractiveness of respectively SOS Médecins (Emergency care general practitioners) and Hospital emergency departments in the Centre-Val de Loire region and ii) the contribution of ecological deprivation factors in emergency access to healthcare. Introduction SOS Médecins France (SOS Med) is the first private and permanent network of general practitioners providing emergency care in France. keywords: emergency; med; sos cache: ojphi-7767.pdf plain text: ojphi-7767.txt item: #1028 of 1513 id: ojphi-7768 author: None title: ojphi-7768 date: 2017-04-08 words: 864 flesch: 46 summary: The comparison by dominant viruses over the seasons revealed that when A(H1N1) virus prevailed, severe influenza occurred mainly in adults patients with any type of pre-existing risk factors whereas when A(H3N2) virus prevailed, seniors with pre-existing pulmonary disease were the most affected. ISDS 2016 Conference Abstracts Surveillance system of severe influenza cases admitted to the regional ICU,2009-2015 Esra Morvan*, Joanna Parra, Gerard Roy and Dominique Jeannel Regional office, Sante publique France, Orléans, France Objective keywords: influenza; risk; surveillance cache: ojphi-7768.pdf plain text: ojphi-7768.txt item: #1029 of 1513 id: ojphi-7769 author: None title: ojphi-7769 date: 2017-04-08 words: 901 flesch: 36 summary: The objectives of health surveillance of this major sporting event were the same as for an exceptional event including mass gathering [2] : 1/ timely detection of a health event (infectious cluster, environmental pollution, collective foodborne disease…) to investigate and timely implement counter measures (control and prevention), 2/ health impact assessment of an unexpected event. Public health surveillance for mass gatherings. keywords: france; health; surveillance; uefa cache: ojphi-7769.pdf plain text: ojphi-7769.txt item: #1030 of 1513 id: ojphi-7770 author: None title: ojphi-7770 date: 2017-04-08 words: 694 flesch: 20 summary: Topics such as those that relate to advancing the GHSA Real Time Surveillance and Reporting Action Package areas will be discussed, including: indicator and event based surveillance systems; interoperable, interconnected, electronic real-time reporting system; analysis of surveillance data; syndromic surveillance systems; systems for efficient reporting to WHO, FAO and OIE; and reporting network and protocols in country. Lessons learned about strengthening HIS and disease surveillance Pia D. MacDonald*, Niamh Darcy, Rita Sembajwe, Eileen Reynolds, Henry Chidawanyika, Christopher Kelley, Michael McKay, Adam Preston and Gordon Cressman RTI International, Berkeley, CA, USA Objective The objective is to discuss two decades of international experience in health information and disease surveillance systems strengthening and synthesize lessons learned as applicable to implementation of the Global Health Security Agenda (GHSA). keywords: health; surveillance; systems cache: ojphi-7770.pdf plain text: ojphi-7770.txt item: #1031 of 1513 id: ojphi-7771 author: None title: ojphi-7771 date: 2017-04-08 words: 573 flesch: 22 summary: ISDS 2016 Conference Abstracts Baseline Assessment of Public Health Surveillance in the Kingdom of Swaziland Harriet Nuwagaba-Biribonwoha*2, Nhlanhla Nhlabatsi3, William MacWright1, Vusie Lokotfwako3, Tony A. Trong4, Paige Ryland1, Affan Shaikh1, Joy Sylvester1 and Scott J. McNabb1 1Public Health Practice, LLC, Belmont, MA, USA; 2ICAP at Columbia University, New York, NY, USA; 3Epidemiology and Disease Control Unit, Swaziland Ministry of Health, Mbabane, Swaziland; 4U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA Objective To assess essential support functions for Integrated Disease Surveillance and Response(IDSR) in the Kingdom of Swaziland and make recommendations for a national IDSR Roadmap. Keywords Africa; Public Health Surveillance; IDSR; Public Health Surveillance; Data Sharing Acknowledgments keywords: health; idsr; surveillance cache: ojphi-7771.pdf plain text: ojphi-7771.txt item: #1032 of 1513 id: ojphi-7772 author: None title: ojphi-7772 date: 2017-04-08 words: 335 flesch: 43 summary: Results 833(58%) neonatal deaths and 591(42%) Under-5 deaths (excluding neonates) were identified. For Post-neonatal deaths most common CODs were sepsis (19%), diarrheal disease (17%), Pneumonia (17%) and meningitis (8%). keywords: cause; deaths cache: ojphi-7772.pdf plain text: ojphi-7772.txt item: #1033 of 1513 id: ojphi-7773 author: None title: ojphi-7773 date: 2017-04-08 words: 407 flesch: 43 summary: Of those diagnosed with brucellosis, working in animal husbandry accounted for 46.6% (106), while those who harvested milk accounted for 37.6% (85) and those using raw milk made up 15.4% (35). The main risk factor for acquiring brucellosis is animal husbandry. keywords: armenia; brucellosis cache: ojphi-7773.pdf plain text: ojphi-7773.txt item: #1034 of 1513 id: ojphi-7774 author: None title: ojphi-7774 date: 2017-04-08 words: 304 flesch: 34 summary: EpiCore volunteer applications are vetted to ensure that they possess the public health and epidemiologic expertise necessary to contribute to the platform. Crowdsourcing Health Professionals to Verify Disease Outbreaks Jennifer M. Olsen* Skoll Global Threats Fund, San Francisco, CA, USA Introduction EpiCore draws on the knowledge of a global community of human, animal, and environmental health professionals to verify information on disease outbreaks in their geographic regions. keywords: epicore cache: ojphi-7774.pdf plain text: ojphi-7774.txt item: #1035 of 1513 id: ojphi-7775 author: None title: None date: 2017-04-08 words: 670 flesch: 43 summary: German RR, Lee L, Horan J, Milstein R, Pertowski C, Waller M. Updated guidelines for evaluating public health surveillance systems. Public health surveillance: historical origins, methods and evaluation. keywords: health; malaria; system cache: ojphi-7775.pdf plain text: ojphi-7775.txt item: #1036 of 1513 id: ojphi-7776 author: None title: ojphi-7776 date: 2017-04-08 words: 364 flesch: 28 summary: ISDS 2016 Conference Abstracts Global Health Surveillance: Innovation and Coordination for Broad Health Impact Ray L. Ransom*1, Olga L. Henao1, Leonard Peruski1, Ruth Kigozi2, David Blazes3, William Bertrand4 and Joel Montgomery1 1Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA; 2Infectious Disease Research Collaboration, Kampala, Uganda; 3Bill and Melinda Gates Foundation, Seattle, WA, USA; 4School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA Objective Keywords Surveillance; Informatics; Laboratory; Data Integration; Global *Ray L. Ransom E-mail: rransom@cdc.gov Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * keywords: health; surveillance cache: ojphi-7776.pdf plain text: ojphi-7776.txt item: #1037 of 1513 id: ojphi-7777 author: None title: ojphi-7777 date: 2017-04-08 words: 807 flesch: 28 summary: Host militaries were actively involved in SABERS by providing staff for data collection, leading sensitization activities, and monitoring data collection activities in the field. Confidentiality of survey data and HIV test results was of increased concern given that these studies were conducted in a work place environment. keywords: data; hiv; military cache: ojphi-7777.pdf plain text: ojphi-7777.txt item: #1038 of 1513 id: ojphi-7778 author: None title: ojphi-7778 date: 2017-04-08 words: 507 flesch: 44 summary: The goal of malaria control is to reduce malaria –related transmissions, cases and deaths to a level where it is no longer a public health concern Methods Kaduna state, north western Nigeria with estimated population of 7.3 million has 23 districts and 1252 health facilities. Of these 461 sent malaria surveillance data to National Health Management Information System monthly. keywords: malaria; nigeria cache: ojphi-7778.pdf plain text: ojphi-7778.txt item: #1039 of 1513 id: ojphi-7779 author: None title: ojphi-7779 date: 2017-04-08 words: 445 flesch: 36 summary: The study was carried out to determine physicians’ knowledge of notifiable reporting and to identify the barriers to reporting in Grenada. Introduction Despite the significance of disease reporting to any health system, Grenada like most countries struggle with underreporting of notifiable diseases by physicians. keywords: reporting cache: ojphi-7779.pdf plain text: ojphi-7779.txt item: #1040 of 1513 id: ojphi-7780 author: None title: ojphi-7780 date: 2017-04-08 words: 843 flesch: 48 summary: We verified AFP case investigations for the last three years: The caregivers (mothers) were interviewed to authenticate the reported information of AFP cases, the method used for stool specimen collection and feedbacks. We assessed the material and documentations on AFP surveillance in eighteen of the twenty Local Government Areas (LGAs). keywords: afp; health; surveillance cache: ojphi-7780.pdf plain text: ojphi-7780.txt item: #1041 of 1513 id: ojphi-7783 author: None title: ojphi-7783 date: 2017-04-08 words: 434 flesch: 38 summary: ISDS 2016 Conference Abstracts Post-vaccination rabies sero-survey in Georgia, 2015 Natia Kartskhia*, Lena Ninidze, Lasha Avaliani and Tengiz Chaligava National Food Agency of the Ministry of Agriculture, Tbilisi, Georgia Objective The objective of this survey was to study vaccination coverage and quality in dogs in Georgia through the detection of post-vaccination antibodies. In order to study vaccination coverage, the total dog population was registered. keywords: georgia; vaccination cache: ojphi-7783.pdf plain text: ojphi-7783.txt item: #1042 of 1513 id: ojphi-7789 author: None title: ojphi-7789 date: 2017-04-08 words: 354 flesch: 45 summary: ISDS 2016 Conference Abstracts Rates and causes of stillbirth in a demographic surveillance site in Karachi, Pakistan Muhammad Imran Nisar*, Muhammad Ilyas, Komal Naeem, Urooj Fatima, yasir Shafiq and Fyezah Jehan Pediatrics, Aga Khan University, Karachi, Pakistan Objective To determine burden, timing and causes of stillbirths in a prospective cohort of pregnant from a low income community setting in peri urban Karachi Introduction Stillbirth remained a neglected issue absent from mention in Millennium Development Goals. There is lack of good quality prospective population based data in Pakistanregarding burden, timing and causes of stillbirths Methods From Jan – Dec 2012, Community Helath Workers (CHWs) identified pregnant women through 3 monthly household visits. keywords: causes; stillbirths cache: ojphi-7789.pdf plain text: ojphi-7789.txt item: #1043 of 1513 id: ojphi-7790 author: None title: None date: 2017-05-02 words: 831 flesch: 47 summary: ISDS 2016 Conference Abstracts Sero-Prevalence of Rubella Virus among Pregnant Women in Kaduna State Nigeria 2015 Aishatu B. Gubio*, Steve Olonitola, Edward Jattau and Maryam A. Mukhtar Ahmadu Bello University, Zaria, Nigeria Objective To determine the IgM and IgG antibodies of rubella virus circulating among pregnant women in Kaduna State Nigeria. Blood samples were screened for rubella IgM & IgG antibody using commercially produced enzyme linked immunosorbent assay (ELISA), Questionnaires were administered to obtain demographic information and possible risk factors associated with rubella virus. keywords: nigeria; rubella; virus; women cache: ojphi-7790.pdf plain text: ojphi-7790.txt item: #1044 of 1513 id: ojphi-7791 author: None title: ojphi-7791 date: 2017-04-08 words: 797 flesch: 40 summary: The theme united two dominant trends in public health surveillance: 1) a growing desire to extract knowledge from increasing volumes of structured and unstructured data available from health information systems; and 2) increased pressure on nations to strengthen their capacity for disease surveillance and response to outbreaks when and where they occur across the globe. Their names are listed in the proceedings to recognize their selfless service to ISDS and the field of public health surveillance. keywords: abstracts; health; surveillance cache: ojphi-7791.pdf plain text: ojphi-7791.txt item: #1045 of 1513 id: ojphi-7864 author: Sandy DeGroote title: None date: 2017-12-26 words: 3744 flesch: 48 summary: Recently, a population study newly revealed associations between cardiovascular diseases and birth month. Here, we investigated the association between atrial fibrillation in cardiovascular disease and birth month. keywords: association; birth; birth month; data; diseases; fibrillation; month; patients; pubmed; study cache: ojphi-7864.pdf plain text: ojphi-7864.txt item: #1046 of 1513 id: ojphi-7905 author: None title: ojphi-7905 date: 2017-08-31 words: 8615 flesch: 50 summary: Unfortunately, CDSS systems are commonly designed without a clear strategy for understanding the needs of end-users and their working conditions (3,9). The benefits of CDSS systems are ensured if they have a specific purpose, are “easy to use” and are adapted to the workflow at the healthcare facility (3,6,7,12,13). keywords: burkina; burkina faso; care; cdss; computer; decision; decision support; faso; hcws; health; participants; public; study; support; support system; system; use cache: ojphi-7905.pdf plain text: ojphi-7905.txt item: #1047 of 1513 id: ojphi-7929 author: Journal name - tbd title: ojphi-7929 date: 2018-01-30 words: 2953 flesch: 46 summary: Electronic data collection in rural settings in sub-Saharan Africa with mobile devices has been found to be superior to that of a paper-based system, in regards to accuracy and completeness of data. A comparison of paper-based data collection with electronic data collection showed that direct electronic data entry was faster and 25% cheaper. keywords: acasi; case; crf; data; paper; report; self; solution cache: ojphi-7929.pdf plain text: ojphi-7929.txt item: #1048 of 1513 id: ojphi-7985 author: Aein Zarrin title: None date: 2017-08-31 words: 6745 flesch: 41 summary: Keywords: Public health informatics, population surveillance, health policy, environmental monitoring, public health Abbreviations: Public Health Informatics (PHI), Public Health (PH) Applications of information and communications technologies to public health: A scoping review Using the MeSH term “public health informatics” Online Journal of Public Health Informatics * [22], “The centers of excellence in public health informatics: improving public health through innovation, collaboration, dissemination, and translation” keywords: articles; data; health; health informatics; informatics; mesh; mesh term; online; phi; public; research; review; surveillance; technologies; term cache: ojphi-7985.pdf plain text: ojphi-7985.txt item: #1049 of 1513 id: ojphi-8000 author: Scholcomm User title: ojphi-8000 date: 2017-10-03 words: 5709 flesch: 40 summary: Interactive visualization of public health indicators to support policymaking: An exploratory study Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 9(2):e190, 2017 OJPHI Interactive visualization of public health indicators to support policymaking: An exploratory study Moutasem Zakkar1,2, Kamran Sedig1 1. mzakkar@uwaterloo.ca Abstract Purpose: The purpose of this study is to examine the use of interactive visualizations to represent data/information related to social determinants of health and public health indicators, and to investigate the benefits of such visualizations for health policymaking. keywords: data; health; health indicators; healthcare; indicators; information; participants; policymaking; study; support; tool; users; visualization cache: ojphi-8000.pdf plain text: ojphi-8000.txt item: #1050 of 1513 id: ojphi-8001 author: None title: ojphi-8001 date: 2017-09-02 words: 5123 flesch: 40 summary: But disease case reporting to public health has traditionally been paper-based, resulting in somewhat slow, burdensome processes. To assess how this new service might impact the efficiency and quality of a public health agency's case investigations, we compared the timeliness of usual case investigation to that of case investigations based on case report forms that were partially pre-populated with electronic data. keywords: case; cdr; communicable; data; days; disease; exchange; health; information; intervention; pre; public; pubmed; reporting; time cache: ojphi-8001.pdf plain text: ojphi-8001.txt item: #1051 of 1513 id: ojphi-8004 author: Scholcomm User title: ojphi-8004 date: 2017-09-04 words: 6264 flesch: 46 summary: These methods can be applied to ILI data sources in various geographic areas. Statistical methods used on ILI data must be robust enough to handle the violation of the independence assumption and to reduce the background noise. keywords: activity; capture; data; estimates; forecasting; health; hospital; houston; ili; ilinet; illness; influenza; mechanisms; public; surveillance; texas cache: ojphi-8004.pdf plain text: ojphi-8004.txt item: #1052 of 1513 id: ojphi-8034 author: Sinha, Shyamashree title: ojphi-8034 date: 2017-09-04 words: 6539 flesch: 50 summary: The state of New York has recently implemented an amendment of the NY public health law (NYPHL 3331) limiting the number of days of prescription for opioid pain medication to not more than seven days for any acute non-cancer/non-terminal illness pain [6]. Applying the proper CDSS implementation to prescription opioid pain medications, the five steps are as follows [2]: · High Priority gap in the clinicians’ prescription of pain medication for acute pain conditions. keywords: app; approach; decision; fhir; guidelines; health; informatics; issn; journal; medication; opioid; pain; patient; prescription; public; smart; support cache: ojphi-8034.pdf plain text: ojphi-8034.txt item: #1053 of 1513 id: ojphi-8084 author: Ben Ramadan, Awatef A. (MU-Student) title: ojphi-8084 date: 2017-12-26 words: 4016 flesch: 57 summary: The Census Bureau’s Cartographic Boundary Files were used to create maps showing Missouri senate districts. The maps visualize FBC incidence data and the mapping reports are in two layouts: Area profile and double map formats. keywords: breast; cancer; districts; health; incidence; missouri; rates; senate cache: ojphi-8084.pdf plain text: ojphi-8084.txt item: #1054 of 1513 id: ojphi-8129 author: Scholcomm User title: ojphi-8129 date: 2017-12-18 words: 4741 flesch: 29 summary: States may consider (1) mandating their providers to submit QRDA data on the proposed measures to a state organization; (2) incentivize voluntary submission of other key population health measures; and/or, (3) contract with an organization to provide practice level support to providers to collect and report population health measures via QRDA. • States should consider incorporation of home health, self-monitoring, and/or data gathering on population health measures such as self-reported BMI and BP information by smart watch, personal home-based tablets, and telehealth activities. keywords: community; data; ehr; health; information; infrastructure; maryland; measures; payer; population; state cache: ojphi-8129.pdf plain text: ojphi-8129.txt item: #1055 of 1513 id: ojphi-8149 author: Per Nydert title: None date: 2017-12-26 words: 6769 flesch: 53 summary: Examples of questions asked were: Pediatricians’ Understanding and Experiences of an Electronic Clinical-Decision-Support-System Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 9(3):e200, 2017 OJPHI To what extent do you currently use computerized decision support systems at point of care? Grand challenges in clinical decision support. keywords: cdss; check; decision; dose; drc; experiences; health; informants; prescribing; support; system; use; weight cache: ojphi-8149.pdf plain text: ojphi-8149.txt item: #1056 of 1513 id: ojphi-8270 author: Giustini, Dean title: ojphi-8270 date: 2018-09-06 words: 16217 flesch: 49 summary: ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Benetoli et al, 2015 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Best et al, 2014 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 10 Brunner et al, 2015 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Campos et al, 2016 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 10 Capurro et al, 2014 ✓ ✓ ✓ ✓ ✓ ✓ - ✓ ✓ ✓ 9 9 Cartledge et al, 2013 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 10 Chang et al, 2013 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 10 9 Charles-Smith et al, 2015 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 10 Chen et al, 2016 ✓ ✓ ✓ ✓ ✓ ✓ - ✓ ✓ ✓ 10 9 Cheston et al, 2013 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 9 Dyson et al, 2016 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 10 Eysenbach et al, 2004 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Ghanbarzadeh et al, 2014 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Gold et al, 2011 ✓ ✓ ✓ ✓ ✓ ✓ - ✓ ✓ ✓ 9 9 Golder et al, 2015 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 10 Griffiths et al, 2009 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 10 9 Househ et al, 2014 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Effective uses of social media in public health and medicine: a systematic review of systematic reviews Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 10(2):e215, 2018 OJPHI Jin et al, 2014 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Jones et al, 2014 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Koskan et al, 2014 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 9 Laranjo et al, 2015 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 10 Luo 2015 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 10 Maher et al. 2014 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 9 McAlpine et al 2015 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 8 Merolli et al 2013 ✓ ✓ ✓ - ✓ ✓ ✓ ✓ ✓ ✓ 9 8 Mita et al. 2016 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 10 9 Moorhead et al. 2013 ✓ ✓ ✓ ✓ ✓ ✓ - ✓ ✓ ✓ 9 10 Newbold and Campos 2011 ✓ ✓ ✓ - ✓ ✓ - ✓ ✓ ✓ 9 8 Ngwenya and Mills 2014 ✓ ✓ ✓ - ✓ ✓ - ✓ ✓ ✓ 9 8 Odone et al. 2015 keywords: 2015; benefits; education; effectiveness; effects; et al; facebook; health; health informatics; information; interventions; issn; journal; media; medical; medicine; ojphi; online; papers; patients; public; pubmed; research; review; self; social; studies; use; uses cache: ojphi-8270.pdf plain text: ojphi-8270.txt item: #1057 of 1513 id: ojphi-8299 author: None title: ojphi-8299 date: 2018-04-08 words: 685 flesch: 25 summary: They are: (1) Bayesian and regression methods allowing estimation of the basic reproductive number from case-count data; (2) ordinary- differential equation integration with modifications to account for discreteness of disease spread when case counts are small (we include space- and time-dependent effects); and (3) methods that hybridize agent-based travel, mixing, and disease progression with nested-mass action contagion (i.e. not fully agent-based). We will demonstrate tools that allow mechanistic contraints on disease progression and epidemic spread to play off against interventions, mitigation, and control measures. keywords: disease; epidemic; progression cache: ojphi-8299.pdf plain text: ojphi-8299.txt item: #1058 of 1513 id: ojphi-8302 author: None title: ojphi-8302 date: 2018-04-08 words: 603 flesch: 36 summary: The algorithm currently in use at Public Health England (PHE) for syndromic surveillance is the ‘rising activity, multi-level mixed effects, indicator emphasis’ (RAMMIE) method (Morbey et al, 2015), which fits a mixed model to counts of syndromes on a daily basis. ISDS 2018 Conference Abstracts Comparison of statistical algorithms for syndromic surveillance aberration detection Roger Morbey1, Angela Noufaily2, Felipe D. Colón-González3, Alex Elliot1, Sally Harcourt*1 and Gillian Smith1 1Public Health England, Birmingham, United Kingdom; 2Warwick University, Coventry, United Kingdom; 3University of East Anglia, Norwich, United Kingdom Objective To investigate whether alternative statistical approaches can improve daily aberration detection using syndromic surveillance in England. keywords: england; health; surveillance cache: ojphi-8302.pdf plain text: ojphi-8302.txt item: #1059 of 1513 id: ojphi-8309 author: Mebratu title: ojphi-8309 date: 2018-09-13 words: 5667 flesch: 49 summary: Poor quality of medical records data remains a challenge and is directly related to the quality of care of patients. The key informants reported the major challenges hindering the quality of medical record data is the current dual documentation practice and the patient load in the hospital. keywords: art; clinic; completeness; data; emr; ethiopia; health; medical; paper; patient; quality; records cache: ojphi-8309.pdf plain text: ojphi-8309.txt item: #1060 of 1513 id: ojphi-8319 author: None title: ojphi-8319 date: 2018-04-08 words: 1004 flesch: 40 summary: The proposed model can provide initial indicators of infectious disease epidemic at these events and evaluate the possible effects of intervention measures and health-related behaviors. ISDS 2018 Conference Abstracts Data-Driven Computational Model to Assess the Risk of Epidemics in Global Mass Gatherings Sultanah Alshammari*1, 2 and Armin Mikler1 1University of North Texas, Denton, TX, USA; 2King Abdulaziz University, Jeddah, Saudi Arabia Objective To develop a computational model to assess the risk of epidemics in global mass gatherings and evaluate the impact of various measures of prevention and control of infectious diseases. keywords: disease; model; pilgrims cache: ojphi-8319.pdf plain text: ojphi-8319.txt item: #1061 of 1513 id: ojphi-8321 author: None title: ojphi-8321 date: 2018-04-08 words: 929 flesch: 33 summary: Methods The Datathon provided a combination of publicly available data and State of Virginia datasets consisting of crime data, treatment center data, funding data, mortality and morbidity data for opioid, prescription drugs (i.e. oxycodone, fentanyl), and heroin cases, where dates started as early as 2010. Introduction At the Governor’s Opioid Addiction Crisis Datathon in September 2017, a team of Booz Allen data scientists participated in a two-day hackathon to develop a prototype surveillance system for business users to locate areas of high risk across multiple indicators in the State of Virginia. keywords: counties; data; opioid; prototype cache: ojphi-8321.pdf plain text: ojphi-8321.txt item: #1062 of 1513 id: ojphi-8322 author: None title: ojphi-8322 date: 2018-04-08 words: 1052 flesch: 57 summary: While many studies have examined the effect of smoking bans on hospitalizations, this study would be the first to examine the effect of the comprehensive smoking ban in IL on ED visits by utilizing chronic disease categories created with ED chief complaint data captured by syndromic surveillance ISDS 2018 Conference Abstracts ED visits for AMI, Stroke, ACS & COPD after the Statewide Smoking Ban in Cook Co., IL Megan T. Patel* and Victoria W. Persky Epidemiology and Biostatistics, University of Illinois Chicago, Chicago, IL, USA Objective To utilize ED chief complaint data obtained from syndromic surveillance to quantify the effect of the Illinois smoking ban on acute myocardial infarction (AMI), acute coronary syndrome (ACS), stroke, and chronic obstructive pulmonary disease (COPD) related ED visits in adults in Cook County, IL. keywords: ban; smoking; visits cache: ojphi-8322.pdf plain text: ojphi-8322.txt item: #1063 of 1513 id: ojphi-8323 author: None title: ojphi-8323 date: 2018-04-08 words: 809 flesch: 48 summary: A survey conducted by LANL of notifiable disease data reporting in over fifty countries identified only a few websites that report data in a machine-readable format. Conclusions LANL, as part of a currently funded DTRA effort, is automatically and continually collecting global notifiable disease data. keywords: data; disease; notifiable cache: ojphi-8323.pdf plain text: ojphi-8323.txt item: #1064 of 1513 id: ojphi-8324 author: None title: ojphi-8324 date: 2018-04-08 words: 900 flesch: 26 summary: ISDS 2018 Conference Abstracts Epi Evident: Biosurveillance to Monitor, Compare, and Forecast Disease Case Counts Natalie Tomaszewski*1, Meeshu Agnihotri3, Huiwen Cheng4, Ashutosh Bhadke5, Michael Henry2 and Lauren E. Charles2 1University of Southern California, Santa Ana, CA, USA; 2Pacific Northwest National Laboratory, Richland, WA, USA; 3Georgia Tech University, Atlanta, GA, USA; 4University of Indiana, Bloomington, IN, USA; 5University of Arizona, Tucson, AZ, USA Objective Epi Evident is a web based application built to empower public health analysts by providing a platform that improves monitoring, comparing, and forecasting case counts and period prevalence of notifiable diseases for any scale jurisdiction at regional, country, or global-level. Introduction The Epi Evident application was designed for clear and comprehensive visualization for monitoring, comparing, and forecasting notifiable diseases simultaneously across chosen countries. keywords: countries; disease; epi; model cache: ojphi-8324.pdf plain text: ojphi-8324.txt item: #1065 of 1513 id: ojphi-8325 author: None title: ojphi-8325 date: 2018-04-08 words: 964 flesch: 42 summary: Including “fever” in the list of pneumonia key words resulted in a sensitivity of 56.5% (115,280/204,101) and a PPV of 9.0% (115,280/1,282,342), while addition of the key word combination “fever” and “cough” led to a sensitivity of 46.7% (95,264/204,101) and a PPV of 29.8% (95,264/319,876). Introduction The NYC Department of Health and Mental Hygiene (DOHMH) uses ED syndromic surveillance to monitor near real-time trends in pneumonia visits. keywords: algorithm; pneumonia; ppv cache: ojphi-8325.pdf plain text: ojphi-8325.txt item: #1066 of 1513 id: ojphi-8326 author: None title: ojphi-8326 date: 2018-04-08 words: 771 flesch: 31 summary: Results T-SNE visualization of the generated vector embeddings confirms our hypothesis that ICD codes can be contextually grouped into distinct syndrome clusters (Figure 1). However, because current definitions are based on keyword string-matching, they may miss important distributional information in free text and medical codes that could be used to build a more general classifier. keywords: codes; definitions; syndrome cache: ojphi-8326.pdf plain text: ojphi-8326.txt item: #1067 of 1513 id: ojphi-8327 author: None title: ojphi-8327 date: 2018-04-08 words: 662 flesch: 26 summary: Conclusions Data from different multiple surveillance systems and the inclusion of influenza trends can be used to improve the forecast of ED admissions due to pneumonia in a tropical setting, despite the absence of large differences between seasons. We also investigate if the inclusion of influenza data from the laboratory surveillance system would improve the forecasting model, since influenza circulates all-year round in Singapore and is a common aetiology for pneumonia. keywords: pneumonia; surveillance cache: ojphi-8327.pdf plain text: ojphi-8327.txt item: #1068 of 1513 id: ojphi-8328 author: None title: ojphi-8328 date: 2018-04-08 words: 890 flesch: 47 summary: We stratified the time series by facilities grouped by short (average < 4 words, “Group A”) and long (average ≥ 4 words, “Group B”) chief complaint fields (Figure 1). Introduction Standard syndrome definitions for ED visits in ESSENCE rely on chief complaints. keywords: essence; syndrome; visits cache: ojphi-8328.pdf plain text: ojphi-8328.txt item: #1069 of 1513 id: ojphi-8329 author: None title: ojphi-8329 date: 2018-04-08 words: 721 flesch: 45 summary: Land use map (up) and result of random allocation (down) in Daehakcong, Gwanakgu, Seoul.png Distribution of obese population in Seoul, South Korea Keywords random property allocation; BRFSS; obesity; built environment; South Korea Acknowledgments In this study, we assess the association between obesity and built environment by applying random property allocation (1). keywords: environment; health; obesity cache: ojphi-8329.pdf plain text: ojphi-8329.txt item: #1070 of 1513 id: ojphi-8331 author: None title: ojphi-8331 date: 2018-04-08 words: 496 flesch: 31 summary: ISDS 2018 Conference Abstracts Impact assessment of mass gatherings using labelling procedure in ED, Nouvelle-Aquitaine, 2016 Laure Meurice*1, Anne Bernadou1, Antoine Tignon2, Patricia Siguret2, Stéphanie Vandentorren1, Céline Caserio-Schönemann3, Laurent Maillard2 and caroline Ligier2 1French institute for Public Health Surveillance, Nouvelle-Aquitaine Regional Office, Bordeaux, France, Bordeaux, France; 2Regional Emergency Observatory Nouvelle-Aquitaine, Bordeaux, France; 3French institute for Public Health Surveillance, Saint Maurice, France Objective To access the potential health impact on the population during mass gathering over time using labelling procedure in emergency department (ED). Introduction The massive flow of people to mass gathering events, such as festivals or sports events like EURO 2016, may increase public health risks. keywords: health; procedure cache: ojphi-8331.pdf plain text: ojphi-8331.txt item: #1071 of 1513 id: ojphi-8332 author: None title: ojphi-8332 date: 2018-04-08 words: 623 flesch: 37 summary: ISDS 2018 Conference Abstracts Malaria risk assessment through Remote Sensing and MultiCriteria Evaluation in Madagascar Anthonio Rakotoarison*1, Mampionona Rasamimalala1, Jean-Marius Rakotomanga1, Brune Ramiranirina2, Thierry Franchard2, Laurent Kapesa3, Jocelyn Razafindrakoto3, Laurence Baril1, Patrice Piola4 and Fanjasoa Rakotomanana1 1Epidemiology Unit, Pasteur Institute in Madagascar, Antananarivo, Madagascar; 2National Malaria Control Program, Ministry of Health, Antananarivo, Madagascar; 3Health Population and Nutrition Office (HPN), USAID Madagascar, Antananarivo, Madagascar; 4Epidemiology Unit, Pasteur Institute in Cambodia, Phnom Penh, Cambodia Objective Madagascar is one of the low-income countries with limited resources. Results Three models of malaria risk are available for 2014, 2015 and 2016. keywords: madagascar; malaria; risk cache: ojphi-8332.pdf plain text: ojphi-8332.txt item: #1072 of 1513 id: ojphi-8333 author: None title: ojphi-8333 date: 2018-04-08 words: 918 flesch: 43 summary: A GAM was used due to the non-linear association between EHI and weather predictors, to develop models for the risk of incident EHI. Conclusions Our results provide evidence that there is no significant difference in model prediction of EHI utilizing various combinations of weather predictors. keywords: ehi; model; odds cache: ojphi-8333.pdf plain text: ojphi-8333.txt item: #1073 of 1513 id: ojphi-8336 author: None title: ojphi-8336 date: 2018-04-08 words: 936 flesch: 50 summary: Conclusions Using actual reported case data and the Poisson function within the BRT functions created by Elith et al. and the gbm package in R, we show that the differences between using presence/absence and case counts of DF in a BRT analysis gives a clearer picture of the spatial distribution of DF. Programa SIVIGILA INS site with population data downloaded from the 2005 General Census administered by the National Administrative Department of Statistics (Departamento Administrativo Nacional de Estadística, DANE) and projected to 2012–2014 levels. keywords: data; model cache: ojphi-8336.pdf plain text: ojphi-8336.txt item: #1074 of 1513 id: ojphi-8337 author: None title: ojphi-8337 date: 2018-04-08 words: 880 flesch: 37 summary: Estimation of Poisson regression models averaged 1 minute, while nonparametric models averaged 1.5 minutes to estimate. ISDS 2018 Conference Abstracts Nonparametric Models for Identifying Gaps in Message Feeds Andrew Walsh* Health Monitoring, Pittsburgh, PA, USA Objective Characterize the behavior of nonparametric regression models for message arrival probability as outage detection tools. keywords: models; nonparametric cache: ojphi-8337.pdf plain text: ojphi-8337.txt item: #1075 of 1513 id: ojphi-8338 author: None title: ojphi-8338 date: 2018-04-08 words: 896 flesch: 57 summary: In contrast, non-heroin ED visits did not experience such a large increase over time. The steady increase in non-heroin opioids unique to the Large Fringe Metro may be due to the availability of fentanyl in urban areas especially the St. Louis area. keywords: heroin; opioid; year cache: ojphi-8338.pdf plain text: ojphi-8338.txt item: #1076 of 1513 id: ojphi-8339 author: None title: ojphi-8339 date: 2018-04-08 words: 472 flesch: 30 summary: Comparing the fit to incidence data of that model with the fit of simpler parametric models enables the quantification of model form uncertainty and associated model selection. Methods This talk presents a useful modeling framework for time series of incidence data from contagious diseases that enables one to identify and quantify the impact of model form uncertainty. keywords: data; model cache: ojphi-8339.pdf plain text: ojphi-8339.txt item: #1077 of 1513 id: ojphi-8340 author: None title: ojphi-8340 date: 2018-04-08 words: 853 flesch: 31 summary: The authors acknowledge the provision of laboratory test data and helpful advice from Barbara Powers and Tracy Baszler, Colorado State University Veterinary Diagnostic Laboratories, Ft. Collins, CO, USA References [1] Colorado Department of Agriculture, Livestock Health: Reportable Diseases in Colorado, https://www.colorado.gov/pacific/aganimals/ livestock-health, last accessed Aug. 23, 2017. This project’s goal was to extend this capacity to bovine veterinary laboratory test accession data. keywords: data; disease; health; test cache: ojphi-8340.pdf plain text: ojphi-8340.txt item: #1078 of 1513 id: ojphi-8341 author: None title: ojphi-8341 date: 2018-04-08 words: 456 flesch: 32 summary: With tools like RED Alert, public health analysts can better prepare to respond rapidly to future re-emerging disease threats. Conclusions Spatial methods enhance the capability of understanding complex population and disease relationships, which in turn improves surveillance and the ability to predict re-emergence. keywords: data; disease cache: ojphi-8341.pdf plain text: ojphi-8341.txt item: #1079 of 1513 id: ojphi-8343 author: None title: ojphi-8343 date: 2018-04-08 words: 530 flesch: 36 summary: ISDS 2018 Conference Abstracts Updating syndromic surveillnce baselines following public health interventions Roger Morbey, Alex Elliot, Andre Charlett, Sally Harcourt* and Gillian Smith Public Health England, Birmingham, United Kingdom Objective To adjust modelled baselines used for syndromic surveillance to account for public health interventions. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, the Department of Health or Public Health England. keywords: baselines; health cache: ojphi-8343.pdf plain text: ojphi-8343.txt item: #1080 of 1513 id: ojphi-8344 author: None title: ojphi-8344 date: 2018-04-08 words: 580 flesch: 48 summary: A SAS program was developed to carry out the prospective scan statistics analysis weekly and produces reports of detected clusters in table and map format. Introduction Early detection of heroin overdose clusters is important in the current battle against the opioid crisis to effectively implement prevention and control measures. keywords: clusters; overdose; time cache: ojphi-8344.pdf plain text: ojphi-8344.txt item: #1081 of 1513 id: ojphi-8347 author: None title: ojphi-8347 date: 2018-04-08 words: 914 flesch: 42 summary: ISDS 2018 Conference Abstracts What value can Google search data add to existing syndromic surveillance systems? Helen K. Green*1, Obaghe Edeghere1, Alex Elliot1, Ingemar Cox2, 3, Rachel McKendry2 and Gillian Smith1 1Public Health England, Birmingham, United Kingdom; 2University College London, London, United Kingdom; 3University of Copenhagen, Copenhagen, Denmark Objective To carry out an observational study to explore what added value Google search data can provide to existing routine syndromic surveillance systems in England for a range of conditions of public health importance and summarise lessons learned for other countries. Google search data could also potentially contribute to assessing the wider population health impact of public health events by supporting estimation of the proportion of the population who are symptomatic but may not present to healthcare services. keywords: data; google; health; surveillance cache: ojphi-8347.pdf plain text: ojphi-8347.txt item: #1082 of 1513 id: ojphi-8351 author: None title: ojphi-8351 date: 2018-04-08 words: 659 flesch: 32 summary: Therefore measuring and monitoring data quality is an essential activity for clinical and public health professionals as well as researchers1. Current methods for examining data quality largely rely on manual queries and processes conducted by epidemiologists. keywords: data; health; surveillance cache: ojphi-8351.pdf plain text: ojphi-8351.txt item: #1083 of 1513 id: ojphi-8352 author: None title: ojphi-8352 date: 2018-04-08 words: 977 flesch: 50 summary: HSS+ data were frequently reviewed by the National Surveillance Technical Working Group (NSTWG) and timely feedback was provided. ISDS 2018 Conference Abstracts Application of tablet for data collection in HIV sentinel surveillance in Vietnam Duong C. Thanh*1, Ha T. Nguyen1, Giang T. Le2, Duc H. Bui3, Lo T. Dang3, Diep T. Vu2, Nghia V. Khuu4, Tuan A. Nguyen1 and Huong T. Phan3 1HIV/AIDS, National Institute of Hygiene and Epidemiology, Ha Noi, Viet Nam; 2Centers for Disease Control and Prevention, Hanoi, Viet Nam; 3Vietnam Authority of HIV/AID Control, Hanoi, Viet Nam; 4Pasteur Institute in Ho Chi Minh City, Ho Chi Minh, Viet Nam Objective To describe the implementation process, successes, challenges, and lessons learned of the application of tablet for data collection and data system in HIV sentinel surveillance in Vietnam Introduction Vietnam has routinely monitored HIV sero-prevalence among key populations through its HIV sentinel surveillance system (HSS). keywords: data; hss+; surveillance; tablets cache: ojphi-8352.pdf plain text: ojphi-8352.txt item: #1084 of 1513 id: ojphi-8353 author: None title: ojphi-8353 date: 2018-04-08 words: 1018 flesch: 49 summary: Overall, 76 out of the 94 (81%) EMS cases identified as heroin overdoses were judged likely to be true heroin overdoses, as indicated by either 1) positive response to naloxone and patient admission of recent heroin use, or 2) hospital diagnosis of heroin overdose, or both. Lessons learned from this pilot project will inform subsequent, larger-scale validation studies for EMS drug overdose case definitions. keywords: cases; ems; heroin; hod cache: ojphi-8353.pdf plain text: ojphi-8353.txt item: #1085 of 1513 id: ojphi-8354 author: None title: ojphi-8354 date: 2018-04-08 words: 776 flesch: 44 summary: ISDS 2018 Conference Abstracts Assessment of the use of ED Chief Complaint Data for monitoring Chronic Diseases Megan T. Patel* Epidemiology and Biostatistics, University of Illinois Chicago, Chicago, IL, USA Objective To create chronic disease categories for emergency department (ED) chief complaint data and evaluate the categories for validity against ED data with discharge diagnoses and hospital discharge data. Its usefulness rests on the large number of diverse individuals visiting emergency rooms with the possibility of real-time monitoring of acute health effects, including effects from environmental events and its potential ability to examine more long-term health effects and trends of chronic diseases on a local level [1-3]. Methods Emergency department chief complaint (CC) data captured by the Cook County Department of Public Health local instance of ESSENCE from Jan 1, 2006 – Dec 31, 2013 was utilized to generate chronic disease categories for: CVD, AMI, ACS, angina, stroke, diabetes, hypertension, asthma, and COPD based on disease symptoms, natural language processing for free text chief complaints, and associated terms present in EMR system menus. keywords: chronic; data; disease cache: ojphi-8354.pdf plain text: ojphi-8354.txt item: #1086 of 1513 id: ojphi-8355 author: None title: ojphi-8355 date: 2018-04-08 words: 1080 flesch: 54 summary: Frostbite and Cold Exposure During the time period queried, CCDD method returned 328 cases and the CCDDHX method returned 344 cases. Introduction The Kansas Syndromic Surveillance Program (KSSP) utilizes the ESSENCE v.1.20 program provided by the National Syndromic Surveillance Program to view and analyze Kansas Emergency Department (ED) data. Methods that allow an ESSENCE user to query both the Discharge Diagnosis (DD) and Chief Complaint (CC) fields simultaneously allow for more specific and accurate syndromic surveillance definitions. keywords: cases; ccddhx; method cache: ojphi-8355.pdf plain text: ojphi-8355.txt item: #1087 of 1513 id: ojphi-8356 author: None title: ojphi-8356 date: 2018-04-08 words: 825 flesch: 33 summary: ISDS 2018 Conference Abstracts Data Model for Initiatives to Monitor Exposure to Antimicrobials (DataMIME) Megan T. Patel*1, Carlos Santos2, Ron Price3, George Nelson4, Lauren Hall5, Richard Platt6 and William Trick7 1MRAIA, Chicago, IL, USA; 2RUMC, Chicago, IL, USA; 3LUMC, Maywood, IL, USA; 4VUMC, Nashville, TN, USA; 5BS&W, Dallas, TX, USA; 6Harvard Pilgrim, Boston, IL, USA; 7CCHHS, Chicago, IL, USA Objective Plan, develop, and pilot an open source system that could be integrated into the PCORnet (PCORI) and Sentinel (FDA) national common data models (CDMs) to generate antimicrobial use (AU) reports submittable to CDC’s National Healthcare Safety Network (NHSN). Van Boeckel TP, Brower C, Gilbert M, Grenfell BT, Levin SA, Robinson TP, Teillant A, Laxminarayan R. Global trends in antimicrobial use in food animals. keywords: data; table; use cache: ojphi-8356.pdf plain text: ojphi-8356.txt item: #1088 of 1513 id: ojphi-8357 author: None title: ojphi-8357 date: 2018-04-08 words: 907 flesch: 47 summary: For these data, the most common victims of firework injuries were males, accounting for 65.5% of all firework related ED visits and children ages 0 to 19 accounting for 44.2% of these visits. State public information regarding firework safety can be significantly bolstered by accurate and rapid data assessment. keywords: data; firework; query cache: ojphi-8357.pdf plain text: ojphi-8357.txt item: #1089 of 1513 id: ojphi-8358 author: None title: ojphi-8358 date: 2018-04-08 words: 899 flesch: 28 summary: The current, version 2, of the PH EPR CIERF consists of 12 information modules including PH EOC minimum data set (MDS), patient clinical observations, emergency medical systems (EMS), data elements for emergency departments (DEEDS), WHO MDS for Health Workforce Registry, Resource Utilization Message Component (vocabulary for hospital resources), vocabulary for the national trauma standard. PH EOC data flows are based on critical information requirements, addressing needs of EOC staff for timely delivered analytical products that provide situational awareness, event-specific data, event investigation tools, resource management etc1. keywords: data; emergency; eoc cache: ojphi-8358.pdf plain text: ojphi-8358.txt item: #1090 of 1513 id: ojphi-8359 author: None title: ojphi-8359 date: 2018-04-08 words: 887 flesch: 31 summary: Coding data gaps (between paper and electronic case reports) using standardized vocabularies will allow integration of additional questions into EHR or other data collection systems and may allow creation of standard Clinical Data Architecture (CDA) templates, Logical Observation Identifiers Names and Codes (LOINC) panels, or Fast Healthcare Interoperability Resources (FHIR) resources. Gaps were listed, and wording and intent was compared to standard codes including accessory information found in the SDO browsers and a final table of recommended codes was produced. keywords: case; codes; data; information cache: ojphi-8359.pdf plain text: ojphi-8359.txt item: #1091 of 1513 id: ojphi-8360 author: None title: ojphi-8360 date: 2018-04-08 words: 284 flesch: 22 summary: ISDS 2018 Conference Abstracts Enhancing Surveillance on the BioSense Platform through Improved Onboarding Processes Travis Mayo*1, Michael Coletta2, Sophia Crossen3 and Kirsten Oliver4 1InductiveHealth Informatics, Atlanta, GA, USA; 2Centers for Disease Control and Prevention, Atlanta, GA, USA; 3Kansas Department of Health and Environment, Topeka, KS, USA; 4West Virginia Department of Health and Human Resources, Charleston, WV, USA Objective This session will present the impacts of enhancements made to National Syndromic Surveillance Program (NSSP) BioSense Platform Onboarding in 2017 from the perspective of CDC and public health jurisdictions. These enhancements help to rapidly integrate new healthcare facilities and onboard new public health sites in support of American Hospital Association (AHA) Emergency Department (ED) representativeness goals. keywords: nssp; onboarding cache: ojphi-8360.pdf plain text: ojphi-8360.txt item: #1092 of 1513 id: ojphi-8361 author: None title: ojphi-8361 date: 2018-04-08 words: 920 flesch: 40 summary: With the use of tablets for field data collection in 2017, provincial survey data were recorded electronically and transferred to VAAC at the end of each survey day, thus enabling instant updating of the national 2017 HSS dataset on daily basis. Conclusions ECDA is a quick, relevant, free program to improve the management and analysis of HIV surveillance data. keywords: data; hss; surveillance cache: ojphi-8361.pdf plain text: ojphi-8361.txt item: #1093 of 1513 id: ojphi-8362 author: None title: ojphi-8362 date: 2018-04-08 words: 780 flesch: 49 summary: Our analysis used a combination of univariate and survival data analysis to estimate the risk of heroin hospitalization from the time of the last prescribed opioid to first day of hospitalization due to heroin overdose. Factors such as alcohol use, age, gender, and tapering of prescription influence the risk of heroin hospitalization. keywords: heroin; hospitalization; overdose cache: ojphi-8362.pdf plain text: ojphi-8362.txt item: #1094 of 1513 id: ojphi-8363 author: None title: ojphi-8363 date: 2018-04-08 words: 488 flesch: 20 summary: ISDS 2018 Conference Abstracts HL7 balloting process for the Implementation Guide for Syndromic Surveillance Peter Hicks*1, Emilie Lamb2, Shandy Dearth2 and Dave Trepanier2 1CDC, Atlanta, GA, USA; 2ISDS, Boston, MA, USA Objective To provide a forum to engage key stakeholders to discuss the process for updating and revising the Implementation Guide (IG) for Syndromic Surveillance (formerly the PHIN Message Guide for Syndromic Surveillance) and underscore the critically of community and stakeholder involvement as the Implementation Guide is vetted through the formal Health Level Seven (HL7) balloting process in 2018. This roundtable will provide a forum to present and discuss the HL7 Balloting process and the outstanding activities in which the Syndromic Surveillance community must participate during the coming months for this activity to be successful. keywords: guide; surveillance cache: ojphi-8363.pdf plain text: ojphi-8363.txt item: #1095 of 1513 id: ojphi-8364 author: None title: ojphi-8364 date: 2018-04-08 words: 546 flesch: 43 summary: Conclusions Mapping child terminologies from an HL7 message to a master vocabulary helps us to standardize incoming data, allows us to accept non-standard terminologies and correct reporting errors. Laboratories utilize HL7 message structure and standard terminologies such as LOINC and SNOMED to send data to UDOH. keywords: data; terminologies cache: ojphi-8364.pdf plain text: ojphi-8364.txt item: #1096 of 1513 id: ojphi-8365 author: None title: ojphi-8365 date: 2018-04-08 words: 727 flesch: 35 summary: Reasons for 143 (18%) records not being identified by ESSENCE included: the patient’s admission reason field contained keywords that were not available in the ESSENCE chief complaint field (n=94, 66%); data access changed, which disabled access to patients who resided in zip codes that crossed a county border (30, 21%); discrepancies between ESSENCE parsing and text in the original chief complaint (11, 8%); heat-related illness discharge diagnoses were removed by the facility after the phpMyAdmin line-list for heat-related illness was extracted (7, 5%); and one record was undetermined. These limitations may be addressed if ESSENCE creates a feature that allows users to easily query fields (e.g., admission reason) in addition to the chief compliant field. keywords: complaint; essence cache: ojphi-8365.pdf plain text: ojphi-8365.txt item: #1097 of 1513 id: ojphi-8366 author: None title: ojphi-8366 date: 2018-04-08 words: 959 flesch: 40 summary: Two themes emerged from the analysis of focus group data, revealing the impact of participants’ experiences with submitting provider reports on timeliness and quality of data reporting. Focus group data were thematically analyzed with Nvivo by two coders. keywords: data; participants cache: ojphi-8366.pdf plain text: ojphi-8366.txt item: #1098 of 1513 id: ojphi-8368 author: None title: ojphi-8368 date: 2018-04-08 words: 768 flesch: 38 summary: Using Rhapsody, the team created filters that generated error messages each time an HL7 message failed to validate pre-determined message parameters (a standard HL7 2.5.1 syndromic message definition). The team enabled error-capture for 81 days (June 16 – September 5, 2017) at which point they evaluated error data so as to guide repair of message modifying filters within the integration engine. keywords: error; essence; team cache: ojphi-8368.pdf plain text: ojphi-8368.txt item: #1099 of 1513 id: ojphi-8369 author: None title: ojphi-8369 date: 2018-04-08 words: 817 flesch: 34 summary: [7]. Results The application of the standardization protocols would optimize early detection and reporting of rifampin-resistant TB cases; provide a high-quality data-driven decision-making process by public health administrators on TB cases; and generate high-quality datasets to enhance reporting or analyses of TB surveillance data and drug resistance. ISDS 2018 Conference Abstracts Improving the Quality of Data Exchange Formats in the U.S. National Tuberculosis Surveillance System Wilfred Bonney*1, 2, Sandy F. Price1 and Roque Miramontes1 1Data Management, Statistics and Evaluation Branch, Division of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Office of Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; 2Public Health Informatics Fellowship Program, Division of Scientific Education and Professional Development, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA Objective The objective of this presentation is to use a congruence of standardization protocols to effectively ensure that the quality of the data elements and exchange formats within the NTSS are optimal for users of the system. keywords: data; surveillance; tuberculosis cache: ojphi-8369.pdf plain text: ojphi-8369.txt item: #1100 of 1513 id: ojphi-8370 author: None title: ojphi-8370 date: 2018-04-08 words: 977 flesch: 36 summary: ISDS 2018 Conference Abstracts Integrating data from disparate data systems for improved HIV reporting: Lessons learned Kamran Ahmed*1, Yvette Temate−Tiagueu1, Joseph Amlung2, Dennis L Stover2, Philip J Peters1, John T Brooks1, Sridhar Papagari Sangareddy1 and Jina J Dcruz1 1Centers for Disease Control and Prevention, Atlanta, GA, USA; 2Indiana State Department Of Health, Indianapolis, IN, USA Objective To assess the integration process of HIV data from disparate sources for reporting HIV prevention metrics in Scott County, Indiana Introduction In 2015, the Indiana State Department of Health (ISDH) responded to a large HIV outbreak among persons who inject drugs (PWID) in Scott County1. Conclusions This assessment highlighted the importance of standardizing data formats, coding across systems for HIV data, and the use of unique identifiers to store individuals’ information across data systems. keywords: data; hiv; integration; prevention cache: ojphi-8370.pdf plain text: ojphi-8370.txt item: #1101 of 1513 id: ojphi-8371 author: None title: ojphi-8371 date: 2018-04-08 words: 979 flesch: 46 summary: In ESSENCE, 24.22% of all visits tagged to other syndrome were pain related and 23.98% of all visits tagged to Other syndrome did not have any symptom information in chief complaint. This investigation takes a closer look at Other syndrome in ESSENCE and Null syndrome in LEEDS to understand what types of records are not tagged to a syndrome to elucidate data quality issues. keywords: syndrome; visits cache: ojphi-8371.pdf plain text: ojphi-8371.txt item: #1102 of 1513 id: ojphi-8372 author: None title: ojphi-8372 date: 2018-04-08 words: 435 flesch: 38 summary: Introduction While UC does not have a standard definition, it can generally be described as the delivery of ambulatory medical care outside of a hospital emergency department (ED) on a walk-in basis, without a scheduled appointment, available at extended hours, and providing an array of services comparable to typical primary care offices.1 UC facilities represent a growing sector of the United States healthcare industry, doubling in size between 2008 and 2011.1 The Urgent Care Association of America (UCAOA) estimates that UC facilities had 160 million patient encounters in 2013.2 This compares to 130.4 million patient encounters in EDs in 2013, as reported by the National Hospital Ambulatory Medical Care Survey.3 Public Health (PH) is actively working to broaden syndromic surveillance to include urgent care data as more individuals use these services.4 PH needs justification when reaching out to healthcare partners to get buy-in for collecting and reporting UC data. Urgent Care Association of America. keywords: care; urgent cache: ojphi-8372.pdf plain text: ojphi-8372.txt item: #1103 of 1513 id: ojphi-8373 author: None title: ojphi-8373 date: 2018-04-08 words: 909 flesch: 44 summary: This study examines how members of a social media platform called Reddit utilize topically-oriented sub-communities for e-cigarette discussions. For the purpose of e-cigarettes surveillance, understanding the discussions in unrelated sub-communities, for example the subreddit ‘teenagers’, can provide opportunities to gain an in-depth perspective on the increased use of e-cigarettes by youth or non-smoker4. keywords: cigarette; communities; sub cache: ojphi-8373.pdf plain text: ojphi-8373.txt item: #1104 of 1513 id: ojphi-8374 author: None title: ojphi-8374 date: 2018-04-08 words: 654 flesch: 40 summary: Introduction In 2016, the CDC funded 12 states, under the Enhanced State Opioid Overdose Surveillance (ESOOS) program, to utilize SyS to increase timeliness of state data on drug overdose events. In Kentucky, in addition to improving overall data quality, these weekly reports and subsequent communication have help built relationships among key stakeholders and elevated the importance of syndromic surveillance data locally. keywords: data; quality cache: ojphi-8374.pdf plain text: ojphi-8374.txt item: #1105 of 1513 id: ojphi-8375 author: None title: ojphi-8375 date: 2018-04-08 words: 881 flesch: 40 summary: Here, we compare the performance of a word embedding-based approach and a topic modeling approach with machine learning algorithms to determine the best method for Chinese, Arabic, and French languages. Methods The analysis text dataset contains the title and brief description of 3506 online articles in Chinese, Arabic, and French languages from the date range of August, 17, 2016 to July 5, 2017. keywords: biosurveillance; language; model cache: ojphi-8375.pdf plain text: ojphi-8375.txt item: #1106 of 1513 id: ojphi-8416 author: Abigail Poluyi title: ojphi-8416 date: 2018-09-06 words: 4111 flesch: 53 summary: Factors associated with the willingness to use electronic medical records In this study, majority of the respondents in the age groups 20-29 and 30-39 were willing to use electronic medical record, (94.8%, 97.12%) respectively. ISSN 1947-2579 * http://ojphi.org * 10(2):e211, 2018 OJPHI Introduction The use of electronic medical records (EMR) has been proven to improve the quality of health care worldwide by increasing productivity, reducing workload, minimizing costs and creating a sustainable link between health care providers keywords: hospital; lagos; medical; records; respondents; university; use; willingness cache: ojphi-8416.pdf plain text: ojphi-8416.txt item: #1107 of 1513 id: ojphi-8418 author: None title: ojphi-8418 date: 2018-04-08 words: 792 flesch: 49 summary: Suspected opioid overdoses were determined to be 1% of emergency ambulance runs. One data source is ambulance runs. keywords: ambulance; opioid cache: ojphi-8418.pdf plain text: ojphi-8418.txt item: #1108 of 1513 id: ojphi-8419 author: None title: ojphi-8419 date: 2018-04-08 words: 908 flesch: 49 summary: ISDS 2018 Conference Abstracts Opioid Surveillance using Social Media: How URLs are shared among Reddit members Albert Park* and Mike Conway Biomedical Informatics, University of Utah, Salt Lake City, UT, USA Objective We aim to understand (1) the frequency of URL sharing and (2) types of shared URLs among opioid related discussions that take place in the social media platform called Reddit. We use Reddit to track opioid related discussions and then investigate types of shared URLs among Reddit members in those discussions. keywords: opioid; reddit; urls cache: ojphi-8419.pdf plain text: ojphi-8419.txt item: #1109 of 1513 id: ojphi-8420 author: None title: ojphi-8420 date: 2018-04-08 words: 852 flesch: 38 summary: One of their primary goals was to demonstrate how electronic data gathered in the front lines of care could be leveraged to automate and improve the reliability of data within case reports driving public health decisions at regional and country levels. OpenMRS is an open source medical record system platform often used in resource constrained environments.1 Since OpenMRS is used as an electronic medical record system in several African countries and has been connected to regional or country-level health exchanges, the CDC was interested in building a working solution for electronic case based reporting using OpenMRS and a health information exchange. keywords: case; health; openmrs cache: ojphi-8420.pdf plain text: ojphi-8420.txt item: #1110 of 1513 id: ojphi-8421 author: None title: ojphi-8421 date: 2018-04-08 words: 684 flesch: 25 summary: The tool also broadens users’ understanding of the given situation by providing related indicators of the likely re-emergence, as well as the ability to investigate re-emergence factors of global relevance through spatial analysis and data visualization. Defining re-emergence in this manner offers limited ability for ad hoc analysis of prevention and control measures and facilitates non-reproducible assessments of public health events of potentially high consequence. keywords: disease; emergence; health cache: ojphi-8421.pdf plain text: ojphi-8421.txt item: #1111 of 1513 id: ojphi-8422 author: None title: ojphi-8422 date: 2018-04-08 words: 639 flesch: 40 summary: Conclusions We developed and implemented a flexible tool that helps maintain the integrity of surveillance data and reduces the need for manual data cleaning, which can be laborious and error-prone. Our work on improving the accuracy and efficiency of enteric disease surveillance has served as a proof of concept for plans to streamline data processing for other surveillance systems. keywords: data; surveillance; version cache: ojphi-8422.pdf plain text: ojphi-8422.txt item: #1112 of 1513 id: ojphi-8423 author: None title: ojphi-8423 date: 2018-04-08 words: 943 flesch: 33 summary: Conclusions The use of MRN to link records from a communicable disease registry to syndromic HL7 data is a viable tool for public health departments looking to obtain additional information about communicable disease cases and enhance surveillance and disease control activities. Additional cases are expected over the next twelve months. keywords: cases; disease; hepatitis cache: ojphi-8423.pdf plain text: ojphi-8423.txt item: #1113 of 1513 id: ojphi-8547 author: None title: ojphi-8547 date: 2018-09-06 words: 4934 flesch: 54 summary: Canadian Network for Public Health Intelligence, National Microbiology Laboratory, Winnipeg, MB Abstract Objectives: To review user signal rating activity within the Canadian Network for Public Health Intelligence’s (CNPHI’s) Knowledge Integration using Web-based Intelligence (KIWI) technology by answering the following questions: (1) who is rating, (2) how are users rating, and (3) how well are users rating? Figure 1: Signal ratings within and outside of 95% CI. keywords: average; health; kiwi; number; public; rating; signal; user cache: ojphi-8547.pdf plain text: ojphi-8547.txt item: #1114 of 1513 id: ojphi-8549 author: None title: ojphi-8549 date: 2018-04-08 words: 403 flesch: 43 summary: Keywords One Health; surveillance data; informatics; Database Acknowledgments Zoonotic Disease Program staff at the Washington State Department of Health. The goal of the One Health Integrated Data System is to standardize data collection, streamline data entry, and integrate these sectors in to one application. keywords: data; surveillance cache: ojphi-8549.pdf plain text: ojphi-8549.txt item: #1115 of 1513 id: ojphi-8550 author: None title: ojphi-8550 date: 2018-04-08 words: 640 flesch: 42 summary: There were seven epidemiological intelligence functions within the system including risk management, outbreak investigation, planning controlled areas, intelligent detection of high- risk areas, useful tools for decision making, historical epidemics, and system management. In this paper we designed one cross-platform surveillance system to assist dengue fever surveillance, outbreak investigation and risk management of dengue fever. keywords: dengue; surveillance; system cache: ojphi-8550.pdf plain text: ojphi-8550.txt item: #1116 of 1513 id: ojphi-8551 author: None title: ojphi-8551 date: 2018-04-08 words: 771 flesch: 43 summary: PADOH evaluated the consistency and reliability of ILI syndromic data as compared to ILINet data, to confirm that syndromic data were suitable for use in ILINet. Syndromic surveillance data have been used to enhance outpatient ILI surveillance in a number of jurisdictions, including Pennsylvania. keywords: data; ili cache: ojphi-8551.pdf plain text: ojphi-8551.txt item: #1117 of 1513 id: ojphi-8552 author: None title: ojphi-8552 date: 2018-04-08 words: 961 flesch: 41 summary: To address these issues, PNNL has developed an application that collects, analyzes, and integrates wearable sensor data with geographic landscape and weather information to provide a real-time early alert and situational awareness tool for monitoring the health of groups and individuals. Wearable sensor data was collected from the Rim2Rim (R2R) keywords: application; data; health; sensor cache: ojphi-8552.pdf plain text: ojphi-8552.txt item: #1118 of 1513 id: ojphi-8554 author: None title: ojphi-8554 date: 2018-04-08 words: 836 flesch: 42 summary: The key strengths of SAMU data were a large geographic coverage, the subsidiarity with SurSaUD® system data sources, the follow-up of prehospital activity and for patients directly admitted into an intensive care unit. 3SAMU 06 / National Emergency Medical Service, Nice, France Objective To evaluate whether SAMU data could be relevant for health surveillance and proposed to be integrated into the French national syndromic surveillance SurSaUD® system. keywords: data; emergency; samu cache: ojphi-8554.pdf plain text: ojphi-8554.txt item: #1119 of 1513 id: ojphi-8555 author: None title: ojphi-8555 date: 2018-04-08 words: 863 flesch: 42 summary: Analysis of completeness utilized data from December 2016 for 20 hospitals contributing HL7 production data to IDPH at that time. As both syndromic surveillance systems aim to collect the same data, and now can be analyzed with the same interface, CCDPH sought to compare the LSSP and NSSP for data completeness, consistency, and other attributes. keywords: data; lssp; nssp cache: ojphi-8555.pdf plain text: ojphi-8555.txt item: #1120 of 1513 id: ojphi-8558 author: None title: ojphi-8558 date: 2018-04-08 words: 241 flesch: 31 summary: David Atrubin*1, Rosa Ergas2 and Aaron Kite-Powell3 1Florida Department of Health, Tampa, FL, USA; 2Massachusetts Department of Public Health, Boston, MA, USA; 3Centers for Disease Control and Prevention, Atlanta, GA, USA Objective To discuss data disclaimers and caveats that are fundamental to sharing syndromic surveillance (SyS) data Introduction With increasing awareness of SyS systems, there has been a concurrent increase in demand for data from these systems – both from researchers and from the media. Keywords data disclaimers; data sharing; variability within the data; syndromic surveillance; emergency department data *David Atrubin E-mail: david.atrubin@flhealth.gov Online Journal of Public Health Informatics * keywords: data cache: ojphi-8558.pdf plain text: ojphi-8558.txt item: #1121 of 1513 id: ojphi-8576 author: None title: ojphi-8576 date: 2018-04-08 words: 970 flesch: 25 summary: A meeting statement was issued on October 5th 2017 by representatives of the Caribbean Community’s (CARICOM) MS, CARPHA, CARICOM, CTO, Caribbean Hotel and Tourism Association, Pan American Health Origination and International Health and Tourism agencies supporting the implementation of the THP to strengthen their capacity to address tourism HSE public health threats and the development of a regional THP Policy that include the following: awareness among policy makers in public and private sectors; use of the THiS for real-time, early warning and response to travel-related public health threats; Regional Guidelines for managing travel-related public health issues; Training /capacity building; Standards and certification; Multi- sectoral public private partnerships and networks and mandating the reporting of illness by the hospitality sector to national authorities. This coupled with inadequate training, lack of standards and collaboration between tourism health stakeholders have contributed to disease spread. keywords: health; thp; tourism cache: ojphi-8576.pdf plain text: ojphi-8576.txt item: #1122 of 1513 id: ojphi-8580 author: None title: ojphi-8580 date: 2018-04-08 words: 941 flesch: 55 summary: Conclusions A data driven approach to choosing processing times could improve timeliness of data analyses in the SendSS and ESSENCE systems. There are a number of studies that have looked at timeliness prior to the advent of Meaningful Use, and these studies note that ER data were not fast enough for them to be useful in real time2,3. keywords: data; essence; timeliness cache: ojphi-8580.pdf plain text: ojphi-8580.txt item: #1123 of 1513 id: ojphi-8582 author: None title: ojphi-8582 date: 2018-04-08 words: 844 flesch: 23 summary: ISDS 2018 Conference Abstracts Mandating Syndromic Surveillance Reporting from Emergency Departments: The Washington Experience Amanda D. Morse, Natasha Close*, Cynthia Harry and Kevin Wickersham Office of Communicable Disease Epidemiology, Washington State Department of Health, Shoreline, WA, USA Objective To protect syndromic surveillance data reporting from emergency departments in Washington State beyond the cessation of Meaningful Use incentive funding in 2021. As of December 2016, Washington State emergency departments had received $765,335,529.40 in incentive funding, with facilities receiving an average of three payments of $479,974.04 each.1 Considering the public health importance of syndromic surveillance reporting and the fiscal impact of mandatory reporting, the Washington State Department of Health (WA DOH) sought a new statute to require reporting from all emergency departments within the state. keywords: data; health; state; washington cache: ojphi-8582.pdf plain text: ojphi-8582.txt item: #1124 of 1513 id: ojphi-8585 author: None title: ojphi-8585 date: 2018-04-08 words: 869 flesch: 21 summary: Finally, NBIC coordinated the incorporation of maps and diagrams from ASPR and DOD’s Armed Forces Health Surveillance Branch in NBIC products to broaden the distribution of key information. In addition, NBIC analysts collected, structured, and provided information about imported and locally-acquired cases described in open source reporting to the HHS Assistant Secretary for Preparedness and Response (ASPR) for inclusion as a layer on the GeoHealth Platform interactive map before Zika reporting was added to the National Notifiable Disease System. keywords: health; nbic; zika cache: ojphi-8585.pdf plain text: ojphi-8585.txt item: #1125 of 1513 id: ojphi-8592 author: None title: ojphi-8592 date: 2018-04-08 words: 480 flesch: 36 summary: Many state and local PH agencies have partnerships with regional PCs for direct access to local PC data which help them perform this function. Federal, state, and local PH agencies often collaborate with PCs and use PC data for PH surveillance to identify poisoning-related health issues. keywords: poison cache: ojphi-8592.pdf plain text: ojphi-8592.txt item: #1126 of 1513 id: ojphi-8602 author: None title: ojphi-8602 date: 2018-04-08 words: 923 flesch: 54 summary: From the Newey-regression output there was no significant change in the level of HIV testing immediately after the intervention however there was a change in trend(p=0.002) post the intervention. Stratification by gender, revealed no statistically significant difference between males and females, either in the levels nor the trend post intervention compared to pre-intervention Conclusions The amendment of the Public Health act of 2013, has brought about trend change in HIV testing however there has not been any apparent difference in the levels nor trends on HIV testing between males and females. keywords: botswana; health; hiv; intervention; journal; testing cache: ojphi-8602.pdf plain text: ojphi-8602.txt item: #1127 of 1513 id: ojphi-8645 author: None title: ojphi-8645 date: 2018-04-08 words: 364 flesch: 32 summary: The following guiding questions were used to abstract impact measures of syndromic surveillance: 1) what was the public health impact; what decisions or actions occurred because of use of syndromic surveillance data?, 2) were there specific interventions or performance measures for this impact?, and 3) how, and by whom, was this information used? Results Thirty-five papers were included. Building on traditional roots in bioterrorism and situational awareness, proponents are demonstrating the timeliness and informative power of syndromic surveillance data to supplement other surveillance data. keywords: data; surveillance cache: ojphi-8645.pdf plain text: ojphi-8645.txt item: #1128 of 1513 id: ojphi-8646 author: None title: ojphi-8646 date: 2018-04-08 words: 958 flesch: 46 summary: Criteria for prioritizing provinces for inclusion were: 1) a high estimated KP size; 2) high HIV prevalence, measured as a 5 year (2011-2015) average prevalence (P); 3) few years with low HIV prevalence, defined as P <5% among PWID, <3% among FSW and MSM; 4) few years with insufficient HSS sample size, defined as n<150 for PWID, n<250 for FSW and MSM. Issues of regional representation of the HSS in the North, South, Central and Highland regions was added as a criteria to adjust the priority list of HSS provinces. keywords: hiv; hss; provinces cache: ojphi-8646.pdf plain text: ojphi-8646.txt item: #1129 of 1513 id: ojphi-8647 author: None title: ojphi-8647 date: 2018-04-08 words: 576 flesch: 36 summary: This study will broaden our knowledge of disease prevalence and epidemiology in Pakistan. Conclusions It is a significant finding that raw milk is a constant source of disease exposure to farmers, milking men and general users. keywords: pakistan; samples cache: ojphi-8647.pdf plain text: ojphi-8647.txt item: #1130 of 1513 id: ojphi-8648 author: None title: ojphi-8648 date: 2018-04-08 words: 682 flesch: 39 summary: Table 2: Sero-prevalence of FMD in peasant associations of different districts found in Borena zone of Oromia χ2=31.1, P=0.000 *= PA’s(Peasant association) Therefore, an extensive regular serological survey, virus isolation, and characterizations of FMD virus need to be conducted for a possible development of poly-valent vaccines that contains commonly circulating serotypes of FMD virus in Ethiopia. keywords: disease; foot; mouth cache: ojphi-8648.pdf plain text: ojphi-8648.txt item: #1131 of 1513 id: ojphi-8649 author: None title: ojphi-8649 date: 2018-04-08 words: 690 flesch: 42 summary: None of the states studied has an active law on infectious disease surveillance as noted by key informants. ISDS 2018 Conference Abstracts Status of Legislation and Factors affecting Disease Surveillance in Nigeria: A qualitative inquiry Olusesan A. Makinde*1, 2 and Clifford O. Odimegwu1 1University of the Witwatersrand, Abuja, Nigeria; 2Viable Knowledge Masters, Abuja, Nigeria Objective Assess the legal framework establishing disease surveillance in Nigeria and identify major factors affecting the performance of the surveillance system. keywords: disease; nigeria; surveillance cache: ojphi-8649.pdf plain text: ojphi-8649.txt item: #1132 of 1513 id: ojphi-8650 author: None title: ojphi-8650 date: 2018-04-08 words: 627 flesch: 27 summary: ISDS 2018 Conference Abstracts Transforming Public Health Surveillance Through Open Public Health Information Janelle Kibler2, Dr. Scott McNabb*1, James Lavery1, Ziad Memish3, Affan Shaikh4 and Ngozi Erondu5 1Rollins School of Public Health, Emory University, Atlanta, GA, USA; 2Emory University, Atlanta, GA, USA; 3WHO, Riyadh, Saudi Arabia; 4Public Health Practice, Grass Valley, CA, USA; 5London School of Hygiene and Tropical Medicine, London, United Kingdom Objective The goal of this editorial is to shed light on the lack of transparency that exists in the sharing of Public Health data and to reverse this presumption in favour of open public health information properly vetted and openly accessible. A better way forward is to reverse this presumption in favour of open public health information properly vetted and openly accessible. keywords: health; information cache: ojphi-8650.pdf plain text: ojphi-8650.txt item: #1133 of 1513 id: ojphi-8651 author: None title: ojphi-8651 date: 2018-04-08 words: 778 flesch: 35 summary: Methods The systematic approach will involve accessing historical data for air pollution incidents and syndromic surveillance data over the period 2012-17 across England. 2Public Health England Environmental Hazards and Emergencies Department, Birmingham, United Kingdom; 3University of East Anglia, Norwich, United Kingdom; 4National Institute for Health Research, Health Protection Research Unit in Emergency Preparedness and Response, London, United Kingdom; 5Public Health England Environmental Hazards and Emergencies Department, Chilton, United Kingdom Objective To explore the utility of syndromic surveillance systems for detecting and monitoring the impact of air pollution incidents on health-care seeking behaviour in England between 2012 and 2017. keywords: air; health; pollution cache: ojphi-8651.pdf plain text: ojphi-8651.txt item: #1134 of 1513 id: ojphi-8652 author: None title: ojphi-8652 date: 2018-04-08 words: 632 flesch: 41 summary: Methods This cross sectional survey was carried out using a pretested questionnaire in backyard Poultry holdings of Kalkini Upazila of Madaripur district in Dhaka division which has a relatively low proportion of commercial poultry farms and high proportion of backyard poultry holdings. Therefore, we aimed to characterize biosecurity practices of poultry farm including the movement of live birds which is a well-known risk factor for the geographic dissemination of the virus among poultry flocks and personnel hygiene of poultry workers for rapid detection and effective risk management of incursion of HPAI and LPAI viruses. keywords: farm; poultry cache: ojphi-8652.pdf plain text: ojphi-8652.txt item: #1135 of 1513 id: ojphi-8653 author: None title: ojphi-8653 date: 2018-04-08 words: 745 flesch: 40 summary: We performed chart reviews of the matched patients’ ED encounters and collected sociodemographic (name, residence, race, ethnicity, marital status, military service, sexual orientation), socioeconomic status (education, occupation) and suicide risk factor data (social isolation, addiction, physical health, relationship, financial, job, school, criminal, civil legal problems, eviction or housing problem, recent suicide or other death of family/friend, current depressed mood, current or recent mental health diagnosis and/or treatment, current alcohol or other substance use disorder, perpetrator or victim of interpersonal violence, history of abuse, and history of suicide ideation, plan and attempt). This gives us confidence that we will be able to develop a reliable ESSENCE query for suicide risk factors specific to our residents. keywords: salt; suicide cache: ojphi-8653.pdf plain text: ojphi-8653.txt item: #1136 of 1513 id: ojphi-8654 author: None title: ojphi-8654 date: 2018-04-08 words: 1042 flesch: 56 summary: Stage III: In NE, 56% of the cases detected by the CC component, identified opioid OD DD codes, and only 8% of the cases detected by the DD component identified opioid OD search terms in the CC. In stage II, the consistency of DD reporting corresponding to the opioid case definition was assessed for CO-NCR and NE data by performing Pearson Correlation analysis to compare the weekly counts of opioid misuse cases in 2015 SyS ED data to those obtained in HDD. keywords: definition; opioid cache: ojphi-8654.pdf plain text: ojphi-8654.txt item: #1137 of 1513 id: ojphi-8655 author: None title: ojphi-8655 date: 2018-04-08 words: 962 flesch: 43 summary: ISDS 2018 Conference Abstracts A provincial Acute Febrile Illness Surveillance Network (GAFINet), South Korea Yeon-Hee Sung1, Seon-Ju Yi*1, Kyoung-Ho Song2, Yang Lee Kim3, Jeong Yeon Kim4, Jieun Kim5, Hong Bin Kim2, Eu Suk Kim2, Heeyoung Lee1, Soo-nam Jo1, kyung-nam Kim1, Na-young Kim1, Eun-jung Park1, Yu-ra Lee1, Hye-jin Jeong1, Sungyong Choi6 and Won Suk Choi7 1GIDCC(Gyeonggi Infectious Disease Control Center), Seongnam-si, Korea (the Republic of); 2Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Korea (the Republic of); 3The Catholic Univ. of Korea Uijeongbu Mary’s hospital, Uijeongbu-si, Korea (the Republic of); 4GPMC(Gyeonggi Provincial Medical Center, Suwon-si, Korea (the Republic of); 5Department of Internal Medicine, Hanyang University College of Medicine, Seongdong-gu, Korea (the Republic of); 6ICDC(Incheon Center for Infectious Diseases Control), Namdong-gu, Korea (the Republic of); 7Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Ansan-si, Korea (the Republic of) Gyeonggi-do province is located in the North-West of South Korea, surrounds the capital city Seoul, and borders North Korea (Figure 1). keywords: afi; cases; korea; republic cache: ojphi-8655.pdf plain text: ojphi-8655.txt item: #1138 of 1513 id: ojphi-8656 author: None title: ojphi-8656 date: 2018-04-08 words: 948 flesch: 35 summary: Public Health Surveillance citations provided details on surveillance systems. ISDS 2018 Conference Abstracts A Scoping Review of Enterovirus D-68 Ashley Weeks1, Lisa Waddell2, Andrea Nwosu*1, Christina Bancej1, Shalini Desai1, Tim Booth3 and Amanda Shane1 1Centre for Immunization and Respiratory Infectious Diseases, Public Health Agency of Canada, Ottawa, ON, Canada; 2National Microbiology Laboratory, Public Health Agency of Canada, Guelph, ON, Canada; 3National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada Objective To create a scoping review on enterovirus D-68 (EV-D68) that will serve as a useful tool to guide future research with the aim of filling critical information gaps and supporting the development of public health preparedness activities. keywords: d68; health; public cache: ojphi-8656.pdf plain text: ojphi-8656.txt item: #1139 of 1513 id: ojphi-8680 author: None title: ojphi-8680 date: 2018-04-08 words: 797 flesch: 50 summary: ISDS 2018 Conference Abstracts Analisis of leptospirosis lethal cases in Lviv region Olena Zubach* and Alexandr Zinchuk Department of infectious diseases, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine Objective Study of the structure of lethal cases in patients diagnosed with leptospirosis in the Lviv Region. The study of the peculiarities of lethal cases over a long period enables researchers to specify possible mechanisms of infection which cause the development of the severest cases of leptospirosis and to prevent disease emergence by applying adequate preventive measures. keywords: leptospirosis; lviv; patients cache: ojphi-8680.pdf plain text: ojphi-8680.txt item: #1140 of 1513 id: ojphi-8683 author: None title: ojphi-8683 date: 2018-04-08 words: 669 flesch: 48 summary: There is need to strengthen leprosy prevention and control measures as well as strengthening of leprosy surveillance in the context of IDSR. ISDS 2018 Conference Abstracts Active case-finding and enhanced data collection to identify neglected tropical diseases Nhlanhla Nhlabatsi*1, Vusie Lokotfwako1, Dumsile Mabundza1, Fortunate Bhembe1, Phinda Khumalo1, Njabulo Lukhele1, Elizabeth Mvila1, Siphiwe M. Shongwe-Gama2, Thulani Maphosa2 and Harriet Nuwagaba-Biribonwoha2 1Ministry of Health, Mbabane, Swaziland; 2ICAP Columbia University, Mbabane, Swaziland Objective To strengthen public health surveillance to monitor neglected tropical diseases (NTDs) like leprosy as a control measure to avert disabilities in the Kingdom of Swaziland. keywords: case; health; leprosy cache: ojphi-8683.pdf plain text: ojphi-8683.txt item: #1141 of 1513 id: ojphi-8685 author: None title: ojphi-8685 date: 2018-04-08 words: 652 flesch: 58 summary: We report a possible non-stationary oscillating association between dengue fever and GBS cases in Hong Kong. Panel (c), Boxplot of GBS cases per day. keywords: dengue; gbs cache: ojphi-8685.pdf plain text: ojphi-8685.txt item: #1142 of 1513 id: ojphi-8688 author: None title: ojphi-8688 date: 2018-04-08 words: 456 flesch: 54 summary: Flea species from which large numbers of plague bacteria have been isolated include Ct. teres-3758 (40.3%), Ct. wladimiri-1262 (13.5%) and C. caspia-667 (7.1%). Introduction Plague was first identified in Armenia in 1958 when Y. pestis was isolated and cultured from the flea species Ct. teres collected from the burrows of common voles in the northwestern part of the country. keywords: pestis; species cache: ojphi-8688.pdf plain text: ojphi-8688.txt item: #1143 of 1513 id: ojphi-8690 author: None title: ojphi-8690 date: 2018-04-08 words: 920 flesch: 29 summary: Tularemia antigen was detected in 29.2% of ticks samples (D. reticulatus mainly), causative agents of Lyme borreliosis D. reticulatus was detected in 17.3% of ticks and I.ricinusin was present in 8.0% of ticks. During the investigation of soil samples collected from burial places of animals, DNA of B.anthracis were not detected. keywords: foci; samples; ticks; tularemia cache: ojphi-8690.pdf plain text: ojphi-8690.txt item: #1144 of 1513 id: ojphi-8694 author: None title: ojphi-8694 date: 2018-04-08 words: 751 flesch: 29 summary: (1) The Arizona Department of Health Services (ADHS) collects information on binational infectious disease cases and shares it with Mexico. Infectious disease investigation in Arizona is enhanced by using an electronic surveillance platform known as the Medical Electronic Disease Surveillance Intelligence System (MEDSIS), and in 2010 a specific variable for binational cases with Mexico was added to the platform. keywords: arizona; cases; mexico cache: ojphi-8694.pdf plain text: ojphi-8694.txt item: #1145 of 1513 id: ojphi-8695 author: None title: ojphi-8695 date: 2018-04-08 words: 803 flesch: 48 summary: Our EMS definition of heroin overdose was loosely based on a draft definition that was produced by the Massachusetts Department of Public Health, and relies more on textual analysis versus ICD10 codes used in SyS and ED data systems. The aim of this project was to assess the face validity of surveillance case definitions for heroin overdose in emergency medical services (EMS) and emergency department syndromic surveillance (SyS) data systems by comparing case counts to those found in a statewide emergency department (ED) hospital administrative billing data system. keywords: data; sys cache: ojphi-8695.pdf plain text: ojphi-8695.txt item: #1146 of 1513 id: ojphi-8700 author: None title: ojphi-8700 date: 2018-04-08 words: 739 flesch: 44 summary: Conclusions While a history of more overall ED visits and more ED visits related to pain were not associated with overdose ED visits, vocabulary of prior ED visits did predict future overdose ED visits. Regular expression searches on chief complaints identified overdose visits. keywords: overdose; visits cache: ojphi-8700.pdf plain text: ojphi-8700.txt item: #1147 of 1513 id: ojphi-8703 author: None title: ojphi-8703 date: 2018-04-08 words: 809 flesch: 55 summary: ISDS 2018 Conference Abstracts Assessing scarlet fever re-emergence from notifiable disease surveillance in Hong Kong Chun Fan Lee, Benjamin J. Cowling and Eric H. Lau* School of Public Health, The University of Hong Kong, Hong Kong, China Objective This study examined the epidemiology of scarlet fever in Hong Kong based on notifiable disease surveillance data, in a period where a 10-fold upsurge in scarlet fever incidence occurred. We found that younger children who started schools, especially for boys aged 3-5 years, had a higher risk of scarlet fever, and there was significant effect of school holidays in reducing scarlet fever incidence. keywords: fever; kong; scarlet cache: ojphi-8703.pdf plain text: ojphi-8703.txt item: #1148 of 1513 id: ojphi-8754 author: None title: ojphi-8754 date: 2018-04-08 words: 613 flesch: 37 summary: Those who did not report were unaware of reporting channels and were concerned their actions would negatively affect food establishments. Methods A total of 14 individuals participated in the study; 8 had informed health authorities of a possible foodborne outbreak while 6 patients were diagnosed with gastroenteritis at general practitioner (GP) clinics but did not report their illness to health authorities. keywords: foodborne; reporting cache: ojphi-8754.pdf plain text: ojphi-8754.txt item: #1149 of 1513 id: ojphi-8755 author: None title: ojphi-8755 date: 2018-04-08 words: 952 flesch: 44 summary: This study examined ED visit data captured by NC DETECT to identify and describe violent injuries treated in NC EDs and compare/contrast with fatalities reported by NC-VDRS. Violence-Related North Carolina Emergency Department Visits and Deaths Average annual estimates were calculated from NC DETECT ED visit data from Jan. 1, 2012 - Sept. 30, 2015. keywords: violence cache: ojphi-8755.pdf plain text: ojphi-8755.txt item: #1150 of 1513 id: ojphi-8756 author: None title: ojphi-8756 date: 2018-04-08 words: 682 flesch: 50 summary: Regional and yearly distribution of number of cases, number of deaths, attack rates and case fatality rates for measles cases in Nigeria from January 2012 to September 2016. The record had reported measles cases with laboratory outcomes from all the States. keywords: cases; measles; nigeria cache: ojphi-8756.pdf plain text: ojphi-8756.txt item: #1151 of 1513 id: ojphi-8757 author: None title: ojphi-8757 date: 2018-04-08 words: 950 flesch: 36 summary: For community influenza, we used data from the Wisconsin Influenza Incidence Surveillance Project (WIISP) that monitors medically attended influenza using RT-PCR at five primary care clinics surrounding the OSD. Specimens were tested for influenza A and B at the Wisconsin State Laboratory of Hygiene using the CDC Human Influenza Virus Real-time RT-PCR Diagnostic Panel. keywords: absenteeism; community; ili; influenza cache: ojphi-8757.pdf plain text: ojphi-8757.txt item: #1152 of 1513 id: ojphi-8759 author: None title: ojphi-8759 date: 2018-04-08 words: 855 flesch: 24 summary: Results OO aims to fill gaps in existing health security literature by sharing the experiences of practitioners involved in outbreak responses and co-authoring peer-reviewed publications with those responders. ●Strengthen outbreak/epidemic preparedness and response activities through real-time, one-the-ground observations and analyses ●Identify best practices based on operational experience that are broadly applicable across outbreak response agencies ●Serve as an independent voice to advocate for policies that support preparedness and response activities based on expert assessment of the resources required to build and maintain necessary outbreak response capabilities ●Support local practitioners’ efforts to publish their experiences Sharing the firsthand experience of responders is critical for building outbreak preparedness and response capacity, and OO will serve as a dedicated mechanism to collect, analyze and disseminate this information Introduction Each significant outbreak and epidemic raises questions that must be answered in order to better inform future preparedness and response efforts, such as: ●What are the systems and resources needed to characterize an outbreak? ●What systems and resources are needed to bring an outbreak to a close? keywords: outbreak; preparedness; response cache: ojphi-8759.pdf plain text: ojphi-8759.txt item: #1153 of 1513 id: ojphi-8773 author: None title: ojphi-8773 date: 2018-04-08 words: 889 flesch: 36 summary: ISDS 2018 Conference Abstracts Correlation of Tweets Mentioning Influenza Illness and Traditional Surveillance Data Zachary Heth*2, 1, Kelley Bemis1 and Demian Christiansen1 1Communicable Diseases, Cook County Department of Public Health, Forest Park, IL, USA; 2CSTE Applied Epidemiology Fellowship, Atlanta, GA, USA Objective To determine if social media data can be used as a surveillance tool for influenza at the local level. This data indicates that publicly shared social media data may be an underutilized source of syndromic data at the local level, potentially capable of predicting seasonal influenza peaks before traditional data sources. keywords: data; influenza; tweets cache: ojphi-8773.pdf plain text: ojphi-8773.txt item: #1154 of 1513 id: ojphi-8781 author: None title: ojphi-8781 date: 2018-04-08 words: 609 flesch: 43 summary: To support this effort, Illinois (IL), Kentucky (KY), and Tennessee (TN) established inter-jurisdictional aggregate data sharing to get a more inclusive view of cause-specific illness or injury in Emergency Department (ED) visits before, during, and after the eclipse. ISDS 2018 Conference Abstracts Data Sharing Among Three States in the BioSense Platform during the 2017 US Solar Eclipse Stacey Hoferka*1, Caleb Wiedeman2, Kristen Heitzinger3 and Mike Schardein3 1Illinois Department of Public Health, Chicago, IL, USA; 2Tennessee Department of Health, Nashville, TN, USA; 3Kentucky Department of Public Health, Frankfort, KY, USA Objective Describe cross-jurisdictional data sharing practices using ESSENCE and facilitated by the BioSense Platform for a national mass gathering event, and the dashboard views created to enhance local data for greater situational awareness. keywords: data cache: ojphi-8781.pdf plain text: ojphi-8781.txt item: #1155 of 1513 id: ojphi-8788 author: None title: ojphi-8788 date: 2018-04-08 words: 907 flesch: 36 summary: Mukundan H et al., Waveguide-based Sensors for Pathogen Detection, Invited Review, Sensors, 9(7), 5783-5809. Methods Many of the biomarkers secreted by bacterial pathogens and recognized by innate immune receptors elicit host cytokine responses that are amphiphilic (largely glycolipids, lipoproteins or lipoglycans). keywords: detection; diagnostics; health; mukundan cache: ojphi-8788.pdf plain text: ojphi-8788.txt item: #1156 of 1513 id: ojphi-8797 author: None title: ojphi-8797 date: 2018-04-08 words: 930 flesch: 51 summary: ED surveillance data indicated that the increase in eye-related visits was likely a seasonal trend. Methods Ahead of the planned mass gatherings, OPHD Health Intelligence and OPC compiled a list of expected risks from the literature (4,5) and input from members of the IMT including the Public Information Officer, who monitored media for stories about health. keywords: data; health; opc; surveillance cache: ojphi-8797.pdf plain text: ojphi-8797.txt item: #1157 of 1513 id: ojphi-8826 author: None title: ojphi-8826 date: 2018-04-08 words: 937 flesch: 55 summary: 2016 represented the hottest year on record globally and well above the 20th century average in Virginia.1,2 With large-scale climate change comes an increase in severe weather patterns, including heat waves.3 Heat waves can have immense health impacts on a community, including heat stroke, heat exhaustion, and dehydration. With an increase in the intensity and frequency of heat waves on the horizon, the issue of heat-related illness is one of growing public health concern. keywords: heat; illness; week cache: ojphi-8826.pdf plain text: ojphi-8826.txt item: #1158 of 1513 id: ojphi-8829 author: None title: ojphi-8829 date: 2018-04-08 words: 1007 flesch: 49 summary: HRI cases were identified in ESSENCE based on ICD-10 codes and chief complaint terms according to a standardized algorithm developed by the Council of State and Territorial Epidemiologists.1 Both emergency department and admitted patients with a HRI were abstracted from HDD and ESSENCE. For HRI cases eligible for interview, three attempts were made to contact the patient by phone. keywords: cases; county; heat; hri cache: ojphi-8829.pdf plain text: ojphi-8829.txt item: #1159 of 1513 id: ojphi-8838 author: None title: ojphi-8838 date: 2018-04-08 words: 975 flesch: 45 summary: Keywords Overdose; Opioid; Drug overdose surveillance; Enhanced surveillance; Syndromic Surveilance Acknowledgments Conclusions As VCH continues responding to the drug overdose emergency in face of increasing drug overdoses, enhanced surveillance data have been widely used by the VCH Emergency Overdose Response Committee for decision making on harm reduction activities, such as expanding operation hours at OPS and Insite on income assistance payment days; examining the impact on EDs of opening the MMU; encouraging users to avoid using alone; opening new supervised injection service and women’s only OPS; and referring ED patients with non-fatal overdose to rapid access opioid agonist treatment and outreach follow-up. keywords: connections; mmu; ops; overdose cache: ojphi-8838.pdf plain text: ojphi-8838.txt item: #1160 of 1513 id: ojphi-8848 author: None title: ojphi-8848 date: 2018-04-08 words: 684 flesch: 35 summary: Traditional epidemic detection method: mean plus two SD were compared with algorithms for early notification methods and which included regression, regression/EWMA/Poisson, CDC-C1, CDC-C2 and CDC-C3. Results This study shows that the preliminary results are promising for epidemic detection by early notification methods in syndromic surveillance in Thailand. keywords: cdc; detection; methods cache: ojphi-8848.pdf plain text: ojphi-8848.txt item: #1161 of 1513 id: ojphi-8850 author: None title: ojphi-8850 date: 2018-04-08 words: 549 flesch: 40 summary: ISDS 2018 Conference Abstracts Epidemiological Distribution of Reported Cryptosporidiosis cases in Houston, Texas, 2013-2016 Najmus Abdullah, Razina Khayat*, Sudipa Biswas, Hafeez Rehman and Kirstin Short Epidemiology, City of Houston Public Health, Houston, TX, USA Objective To demonstrate the demographic and clinical distribution of reported Cryptosporidiosis cases in Houston, Texas, from 2013-2016 Introduction Cryptosporidiosis is a diarrheal disease caused by microscopic parasite Cryptosporidium. African Americans (49%) and Hispanics (30%) had the highest number of confirmed Cryptosporidiosis cases. keywords: aids; cases cache: ojphi-8850.pdf plain text: ojphi-8850.txt item: #1162 of 1513 id: ojphi-8858 author: None title: ojphi-8858 date: 2018-04-08 words: 933 flesch: 47 summary: The APCC fields calls 24 hours/day, 7 days/week about animal poisonings from the U.S., its territories and Canada. Variables used for descriptive analysis were: species; APCC staff assessment that illness was due to pesticide exposure; severity of illness; clinical signs; first, second and third ingredients of the pesticide, and pesticide ingredient class (e.g. pyrethrin). keywords: animals; livestock; pesticide cache: ojphi-8858.pdf plain text: ojphi-8858.txt item: #1163 of 1513 id: ojphi-8884 author: None title: ojphi-8884 date: 2018-04-08 words: 503 flesch: 38 summary: ISDS 2018 Conference Abstracts Epizootic Monitoring of Erysipeloid Foci in the Republic of Armenia, 2007-2016 Laura Mkrtchyan*, Armine Ghazazyan and Ruben Danielyan RA NCDCP Reference Laboratory Center Branch, Laboratory of Especially Dangerous and Natural Foci Infections, Yerevan, Armenia Objective The goal of this study was to characterize the epidmiological, geographic, and historical characteristics of erysipeloid outbreaks in the Republic of Armenia. Tests for detection of E. rhusiopathiae and confirmation of epizootics are conducted on rodents and ectoparasites collected from their hair and nests from 373 sectors of Armenia. keywords: armenia; infection cache: ojphi-8884.pdf plain text: ojphi-8884.txt item: #1164 of 1513 id: ojphi-8885 author: None title: ojphi-8885 date: 2018-04-08 words: 444 flesch: 36 summary: Average Density of Sylvemus uralensis per Hectare Average density of M. socialis per hectare Fleas characteristic to S. uralensis and M. socialis Keywords epizootologic potential; natural foci; tularemia *Arsen Manucharyan E-mail: arsen.manucharyan.1976@mail.ru Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 10(1):e117, 2018 ISDS 2018 Conference Abstracts Epizootologic Potential of Certain Natural Foci Infections in Northeastern Armenia Arsen Manucharyan* Laboratory of Epizootology, Ectoparasitology and Entomology, RA MOH, NCDCP SNCO, Reference Laboratory Center branch, Yerevan, Armenia Objective The objective of this study was to analyze the epizootic potential of four areas of Tavush Marz. keywords: marz; tavush cache: ojphi-8885.pdf plain text: ojphi-8885.txt item: #1165 of 1513 id: ojphi-8891 author: None title: ojphi-8891 date: 2018-04-08 words: 384 flesch: 38 summary: Clinical data indicated that 71% of patients had acute brucellosis with fever, arthralgia and night sweating while 29% suffered chronic brucellosis with damage of organ systems. ISDS 2018 Conference Abstracts Evaluating the burden of brucellosis in hospitalized patients in Armenia, keywords: armenia; brucellosis cache: ojphi-8891.pdf plain text: ojphi-8891.txt item: #1166 of 1513 id: ojphi-8892 author: None title: ojphi-8892 date: 2018-04-08 words: 493 flesch: 34 summary: Results While acute gastroenteritis was the most prevalent type of diarrheal disease (93%), about 35.5% (1788 in active surveillance vs 1147 passive surveillance) of the cases of diarrheal cases are being underreported in the passive surveillance. Similar observation was made on malnutrition with more than 51% of the cases not reported in passive surveillance (186 cases vs 91 cases). keywords: cases; surveillance cache: ojphi-8892.pdf plain text: ojphi-8892.txt item: #1167 of 1513 id: ojphi-8893 author: None title: ojphi-8893 date: 2018-04-08 words: 983 flesch: 47 summary: Proportion trend graph of HAV syndrome ED visits. Conclusions No major change was seen in the trend of HAV syndrome visits in 2017 compared to 2016 (Figure 1). keywords: hav; hepatitis; syndrome cache: ojphi-8893.pdf plain text: ojphi-8893.txt item: #1168 of 1513 id: ojphi-8894 author: None title: ojphi-8894 date: 2018-04-08 words: 920 flesch: 48 summary: DOHMH sought to incorporate and evaluate an additional data source, Twitter, to enhance foodborne illness complaint and outbreak detection efforts in NYC. Methods DOHMH epidemiologists continue to collaborate with computer scientists at Columbia University who developed a text mining algorithm that identifies tweets indicating foodborne illness. keywords: foodborne; illness; new; york cache: ojphi-8894.pdf plain text: ojphi-8894.txt item: #1169 of 1513 id: ojphi-8895 author: None title: ojphi-8895 date: 2018-04-08 words: 308 flesch: 19 summary: Evaluation activities will be discussed at this session and feedback from audience will be sought with the goal to further strengthen evaluation activities in the future. Discussions will explore ways to strengthen evaluation in syndromic surveillance activities in the future. keywords: surveillance cache: ojphi-8895.pdf plain text: ojphi-8895.txt item: #1170 of 1513 id: ojphi-8896 author: None title: ojphi-8896 date: 2018-04-08 words: 938 flesch: 35 summary: BioSense records that had a high degree of evidence for arboviral disease tended to have a higher PPV compared to those with low evidence. For each arboviral query, the proportion of BioSense records that were also reported through MEDSIS ranged from 25.0% to 32.4%, except chikungunya, which had a PPV of 0%. keywords: biosense; medsis; surveillance cache: ojphi-8896.pdf plain text: ojphi-8896.txt item: #1171 of 1513 id: ojphi-8897 author: None title: ojphi-8897 date: 2018-04-08 words: 869 flesch: 35 summary: ISDS 2018 Conference Abstracts Executing a One Health approach during a zoonotic outbreak response Peter Woodward*1, Melissa Kretschmer1, Hayley Yaglom2, Craig Levy1, Peter Peter Mundschenk3, Anne Justice-Allen4, Ronald Klein1, Tammy Sylvester1 and Jigna Narang1 1Epidemiology, Maricopa County Department of Public Health, Phoenix, AZ, USA; 2Arizona Department of Health Services, Phoenix, AZ, USA; 3Arizona Department of Agriculture, Phoenix, AZ, USA; 4Arizona Game and Fish Department, Phoenix, AZ, USA Objective Demonstrate the utility of a One Health collaboration during a leptospirosis outbreak to expand outreach in human, environmental and animal health arenas. Two separate clusters of canine leptospirosis were reported in Maricopa County in 2016; the first was detected in February among canines within a household. keywords: department; health; leptospirosis cache: ojphi-8897.pdf plain text: ojphi-8897.txt item: #1172 of 1513 id: ojphi-8898 author: None title: ojphi-8898 date: 2018-04-08 words: 881 flesch: 40 summary: ISDS 2018 Conference Abstracts Experience of GIS Technology Application in the Surveillance of Tick-Borne Infections Iryna Ben*1, Igor Lozynskyi1 and Oksana Semenyshyn2 1Laboratory of Transmissible Virus Infections, State Institution Lviv Research Institute of Epidemiology and Hygiene of the Ministry of Health of Ukraine, Lviv, Ukraine; 2SI “Lviv regional laboratory center of the Ministry of Healthcare of Ukraine”, Lviv, Ukraine Objective The main aim of this work is to estimate the projected risks based on the incidence rate of natural foci infections and to expand the list of criteria for the characterization of natural foci of tick-borne infections. This was based on indicators of natural infection of the main carriers and the level of the serum layer among the population on the TBI activators in the endemic areas. keywords: infections; tick; ukraine cache: ojphi-8898.pdf plain text: ojphi-8898.txt item: #1173 of 1513 id: ojphi-8899 author: None title: ojphi-8899 date: 2018-04-08 words: 479 flesch: 26 summary: Odds ratio was calculated using unconditional logistic regression to determine the association of risk factors with hospitalization in streptococcal patients. Patients with diabetes (OR 7.92; 95% CI 3.08-20.36) were almost eight times more likely to be hospitalized than patients without diabetes among streptococcal patients, followed by cardiovascular disease (OR 2.84; CI 1.32-6.10) which was three times more likely to be present. keywords: hospitalization; patients cache: ojphi-8899.pdf plain text: ojphi-8899.txt item: #1174 of 1513 id: ojphi-8900 author: None title: ojphi-8900 date: 2018-04-08 words: 967 flesch: 55 summary: Illnesses accounted for 29 cases (22.8% of Music Fest cases) and 28 of 29 were assessed by EMS. There were 68 injury cases who sought care (53.5% of Music Fest cases), among whom 22 (32.4%) were assessed by EMS. keywords: cases; fest; games cache: ojphi-8900.pdf plain text: ojphi-8900.txt item: #1175 of 1513 id: ojphi-8901 author: None title: ojphi-8901 date: 2018-04-08 words: 442 flesch: 46 summary: In 2016 a drastic increase in C. caspia density was recorded; flea numbers averaged 225 per hectare. These changes in flea numbers occurred with a stable rodent population of 60 per hectare. keywords: fleas; jermuk cache: ojphi-8901.pdf plain text: ojphi-8901.txt item: #1176 of 1513 id: ojphi-8902 author: None title: ojphi-8902 date: 2018-04-08 words: 760 flesch: 28 summary: Conclusions The method of leptospira molecular genotyping by multilocus analysis of the number of variable tandem repeats has been tested in the Leptospirosis Research Laboratory in collaboration with the Museum of Microorganisms at the National Academy of Sciences, the Ukraine Institute of Veterinary Medicine, the ELISA and PCR Research Laboratory, and the Bila Tserkva National Agrarian University. Vitalii Ukhovskyi*1, Taras Tsarenko3, Nataliia Vydayko2, Leonid Korniienko3 and Igor Nebogatkin2 1Leptospirosis laboratory with museum of microorganisms, Institute of Veterinary Medicine of the National Academy of Agrarian Sciences of Ukraine, Kiev, Ukraine; 2State Institution Ukrainian Center for Diseases Control and Monitoring of the Ministry of Health of Ukraine, Kiev, Ukraine; 3Bila Tserkva National Agrarian University, Bila Tserkva, Ukraine Objective To introduce the method of molecular genotyping (MLVA) to determine the genotype of field isolates of leptospira. keywords: genotyping; leptospira; molecular; ukraine cache: ojphi-8902.pdf plain text: ojphi-8902.txt item: #1177 of 1513 id: ojphi-8903 author: None title: ojphi-8903 date: 2018-04-08 words: 1012 flesch: 48 summary: The message also runs through rules based on test and test result, and sometimes off organism, that determine whether that result can even be used to update the case or not. This increase in volume can overwhelm epidemiologists and investigators if manual processes for reviewing all incoming ELR messages are needed for processing laboratory results and entering data into surveillance systems. keywords: event; rules; test cache: ojphi-8903.pdf plain text: ojphi-8903.txt item: #1178 of 1513 id: ojphi-8904 author: None title: ojphi-8904 date: 2018-04-08 words: 561 flesch: 21 summary: ISDS 2018 Conference Abstracts Analytics for Investigation of Disease Outbreaks (AIDO) Ashlynn Daughton*1, 2, Maneesha Chitanvis1, Nileena Velappan1, Forest M. Altherr1, Geoffrey Fairchild1, William Rosenberger1, Attelia Hollander1 and Alina Deshpande1 1Biosecurity and Public Health, Los Alamos National Laboratory, Los Alamos, NM, USA; 2University of Colorado, Boulder, Boulder, CO, USA Objective Analytics for the Investigation of Disease Outbreaks (AIDO) is a web-based tool designed to enhance a user’s understanding of unfolding infectious disease events. AIDO is a web-based tool designed to contextualize incoming infectious disease information during an unfolding event for decision-making purposes. keywords: aido; disease; outbreaks cache: ojphi-8904.pdf plain text: ojphi-8904.txt item: #1179 of 1513 id: ojphi-8905 author: None title: ojphi-8905 date: 2018-04-08 words: 521 flesch: 46 summary: Methods The dplyr package and R Markdown file format were used to more rapidly conduct syndromic data validation. This has allowed the number of facilities undergoing data validation at one time to increase from 12 to 22. keywords: data; validation cache: ojphi-8905.pdf plain text: ojphi-8905.txt item: #1180 of 1513 id: ojphi-8906 author: None title: ojphi-8906 date: 2018-04-08 words: 400 flesch: 55 summary: Hurricane Harvey made landfall on August 25th and over the course of 4 days dropped approximately 27 trillion gallons of water on Texas and Louisiana.1 Hurricane Irma made landfall on September 10th in the Florida Keys as a Category 4 Hurricane. keywords: hurricane; irma cache: ojphi-8906.pdf plain text: ojphi-8906.txt item: #1181 of 1513 id: ojphi-8907 author: None title: ojphi-8907 date: 2018-04-08 words: 705 flesch: 40 summary: Conclusions The creation of this application has greatly assisted in the process of reviewing syndromic surveillance messages at TDH by automating data extraction and organization for all received HL7 messages. To ease the quantity of manual review done during the onboarding process, TDH created an application to assist in the process of reviewing syndromic surveillance messages. keywords: data; hl7; surveillance cache: ojphi-8907.pdf plain text: ojphi-8907.txt item: #1182 of 1513 id: ojphi-8908 author: None title: ojphi-8908 date: 2018-04-08 words: 951 flesch: 44 summary: Methods This analysis uses FNY data from the 2015-16 influenza season. Although the influenza ARs estimated by the CDC were less than the ILI ARs estimated using FNY data for all age-groups, a similar pattern was observed across age groups, except for the 50-64 age group, which had the largest influenza AR. keywords: approach; fny; influenza cache: ojphi-8908.pdf plain text: ojphi-8908.txt item: #1183 of 1513 id: ojphi-8909 author: None title: ojphi-8909 date: 2018-04-08 words: 930 flesch: 29 summary: Both on-site and remote support was provided to LIMS users. The monitoring phase is ongoing, using interview guides and LIMS user meetings to understand challenges and ways to improve the system. keywords: health; laboratory; lims; samples cache: ojphi-8909.pdf plain text: ojphi-8909.txt item: #1184 of 1513 id: ojphi-8910 author: None title: ojphi-8910 date: 2018-04-08 words: 768 flesch: 38 summary: Keywords Sociomarkers; Asthma Patients at Risk; Machine learning; Health Surveillance; Social Components of Health References 1. Combining medical-social dataset with machine learning methods we demonstrate how socio-markers play an important role in identifying patients at risk of hospital revisits due to pediatric asthma within a year. keywords: asthma; health; hospital; patients cache: ojphi-8910.pdf plain text: ojphi-8910.txt item: #1185 of 1513 id: ojphi-8911 author: None title: ojphi-8911 date: 2018-04-08 words: 901 flesch: 26 summary: To describe the process to update the Implementation Guide (IG) for Syndromic Surveillance via community and stakeholder engagement and highlight significant modifications as the IG is vetted through the formal HL7 balloting process. Introduction In 2011, the CDC released the PHIN Implementation Guide (IG) for Syndromic Surveillance v.1 under the Public Health Information Network. keywords: guide; isds cache: ojphi-8911.pdf plain text: ojphi-8911.txt item: #1186 of 1513 id: ojphi-8912 author: None title: ojphi-8912 date: 2018-04-08 words: 929 flesch: 30 summary: Since 2016, the Public Health Agency of Canada (PHAC) and National Research Council Canada (NRC) have collaborated to replace GPHIN with a modular platform that incorporates modern natural language processing techniques to support more ambitious situational awareness goals. Conclusions We improved (and continue to improve) GPHIN with modern natural language processing techniques, including better translations, relevance scoring, categorization, near-duplicate detection, and improved data visualization tools, all towards the goal of more productive and more trustworthy situational awareness. keywords: data; gphin; language cache: ojphi-8912.pdf plain text: ojphi-8912.txt item: #1187 of 1513 id: ojphi-8913 author: None title: ojphi-8913 date: 2018-04-08 words: 655 flesch: 35 summary: The NJDOH staff searched one week of medical notes data in EpiCenter with a specific keyword to identify additional potential cases of surgical-site infections (SSI) that could be associated with medical tourism. Results The search yielded 8 ED visits, one of which was identified as possible surgical site infection. keywords: notes cache: ojphi-8913.pdf plain text: ojphi-8913.txt item: #1188 of 1513 id: ojphi-8914 author: None title: ojphi-8914 date: 2018-04-08 words: 615 flesch: 57 summary: Secondarily, these data can be used as a form of web analytics to describe user query choices, query volume, query execution time, and develop an understanding of ESSENCE query patterns. When looking at 2017 data through August 23 this figure increases to a mean of 7,618 SQL queries per week for 2017, and since May 2017 the mean number of SQL queries has increased to 10,485 per week. keywords: query; sql cache: ojphi-8914.pdf plain text: ojphi-8914.txt item: #1189 of 1513 id: ojphi-8915 author: None title: ojphi-8915 date: 2018-04-08 words: 642 flesch: 37 summary: ISDS 2018 Conference Abstracts Hepatitis A surveillance using commercial laboratory data Lauren Canary*1, William Thompson1, Francisco Averhoff1, Harvey Kaufman3, Christos Petropoulos2, Noele Nelson1 and Claudia Vellozzi1 1Division of Viral Hepatitis, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA; 2Laboratory Corporation of America, Burlington, NC, USA; 3Quest Diagnostics, Madison, NJ, USA Objective To evaluate the use of commercial laboratory data for monitoring trends in HAV infections over time and identifying geographic and demographic characteristics of HAV case clusters for the purpose of targeting interventions. Methods We used commercial laboratory data from Quest Diagnostics (Quest) and Laboratory Corporation of America (LabCorp) to identify unique individuals within each database who tested positive for HAV IgM antibody (indicative of acute HAV infection) from January 2011 through June 2017. keywords: cases; hav cache: ojphi-8915.pdf plain text: ojphi-8915.txt item: #1190 of 1513 id: ojphi-8916 author: None title: ojphi-8916 date: 2018-04-08 words: 724 flesch: 45 summary: If you want to know more cluster information by the different potential cluster, clicking the map or dots or circular, and the pop-up dialogue box will show with the related clusters results of scan statistics methods. What is more, one benefit of this way can provide the possible association between medical institution information and primary school absence information through the overlap circular. keywords: data; health; results cache: ojphi-8916.pdf plain text: ojphi-8916.txt item: #1191 of 1513 id: ojphi-8917 author: None title: ojphi-8917 date: 2018-04-08 words: 707 flesch: 44 summary: In Saint Louis County, there were over 13,000 hospitalizations for mental disorders between 2010 and 2014. These geographic areas, along with neighborhood poverty level, were analyzed to better understand the demographics of Saint Louis County residents experiencing mental disorders. keywords: health; louis cache: ojphi-8917.pdf plain text: ojphi-8917.txt item: #1192 of 1513 id: ojphi-8918 author: None title: ojphi-8918 date: 2018-04-08 words: 664 flesch: 41 summary: Indiana does not require facilities to report discharge diagnosis, but regulatory changes are being proposed that would require submission of discharge diagnosis data to ISDH. ISDS 2018 Conference Abstracts How Missing Discharge Diagnosis Data in Syndromic Surveillance Leads to Coverage Gaps Kayley Dotson* and Mandy Billman Epidemiology Resource Center, Indiana State Department of Health, Indianapolis, IN, USA Objective To identify surveillance coverage gaps in emergency department (ED) and urgent care facility data due to missing discharge diagnoses. keywords: diagnosis; discharge cache: ojphi-8918.pdf plain text: ojphi-8918.txt item: #1193 of 1513 id: ojphi-8919 author: None title: ojphi-8919 date: 2018-04-08 words: 964 flesch: 43 summary: The current goal of the project is to increase the number of regular responses from both LTCFs and child care facilities. To better understand the prevalence of illness in LTCFs and improve communication between LTCFs and DOH-Hillsborough a weekly surveillance survey was created using Epi Info web survey. keywords: care; facilities; surveillance; week cache: ojphi-8919.pdf plain text: ojphi-8919.txt item: #1194 of 1513 id: ojphi-8920 author: None title: ojphi-8920 date: 2018-04-08 words: 794 flesch: 29 summary: All five hospitals reported not utilizing the standard cases definitions to identify and report IDSR priority diseases and this poses challenges in comparison of data across sites, monitoring priority diseases, conditions and events and also identifying the alert or epidemic thresholds. All five hospitals reported not utilizing the standard cases definitions provided to identify and report IDSR priority diseases. keywords: disease; health; idsr cache: ojphi-8920.pdf plain text: ojphi-8920.txt item: #1195 of 1513 id: ojphi-8921 author: None title: ojphi-8921 date: 2018-04-08 words: 967 flesch: 36 summary: As part of strengthening influenza virus surveillance in response to the 2009 influenza A (H1N1) pandemic, the real-time laboratory- based influenza surveillance system, the Bangkok Dusit Medical Services Surveillance System (BDMS-SS), was developed in 2010 by the Bangkok Health Research Center (BHRC). Active influenza surveillance at the local level: a model for local health agencies. keywords: bdms; influenza; surveillance; system cache: ojphi-8921.pdf plain text: ojphi-8921.txt item: #1196 of 1513 id: ojphi-8922 author: None title: ojphi-8922 date: 2018-04-08 words: 726 flesch: 46 summary: They include inadequate stool sample, wrong classification of AFP cases and persistence of residual paralysis in Non-polio AFP cases. In August, 2017, we conducted a peer review evaluation of the reported high stool adequacy and Non-polio Acute Flaccid Paralysis (AFP) rates of the World Health Organisation (WHO) verified AFP cases, in order to estimate and establish concordance for both surveillance core indicators in Lafia and Nasarawa Egon LGAs in Nasarawa State. keywords: afp; cases; nasarawa cache: ojphi-8922.pdf plain text: ojphi-8922.txt item: #1197 of 1513 id: ojphi-8923 author: None title: ojphi-8923 date: 2018-04-08 words: 908 flesch: 49 summary: Results The number of SOS Médecins visits for scarlet fever started to increase in week 9 of 2017. The weekly numbers of ED attendances and SOS Médecins visits for scarlet fever were analyzed from 02/01/2017 (week 5) to 03/31/2017 (week 13) by age group (all ages and less than 15 years old, scarlet fever affecting mainly children) and were compared to the numbers of attendances and visits registered during the same period of the two previous years. keywords: attendances; fever; sos cache: ojphi-8923.pdf plain text: ojphi-8923.txt item: #1198 of 1513 id: ojphi-8925 author: None title: ojphi-8925 date: 2018-04-08 words: 520 flesch: 45 summary: Methods Medical records and reporting forms of SARI cases were generated for individuals meeting the case definition and analyzed for age groups, risk factors, sentinel surveillance detection methods, laboratory conformation, number of days hospitalized and reporting. A large number of children from Neonatal and Children’s departments fulfil the SARI case definition and could potentially be swabbed in addition to ICU patients. keywords: definition; sari cache: ojphi-8925.pdf plain text: ojphi-8925.txt item: #1199 of 1513 id: ojphi-8927 author: None title: ojphi-8927 date: 2018-04-08 words: 982 flesch: 42 summary: Projected lifetime costs associated with falls among NC older adults was approximately $1.4 billion in 2014. Therefore, CCHI performed a descriptive epidemiologic study using ED visit data collected by NC DETECT. keywords: carolina; falls; health cache: ojphi-8927.pdf plain text: ojphi-8927.txt item: #1200 of 1513 id: ojphi-8928 author: None title: ojphi-8928 date: 2018-04-08 words: 570 flesch: 35 summary: For questions addressing HAI knowledge, participants strongly agreed that the tabletop exercise enhanced their understanding of infection control guidelines for HAIs. In the open-ended questions, themes regarding HAI knowledge, resources, response and policies were frequently mentioned, in addition to confusion over the health department’s role and available resources during an HAI outbreak. keywords: hai; health; pinellas cache: ojphi-8928.pdf plain text: ojphi-8928.txt item: #1201 of 1513 id: ojphi-8930 author: None title: ojphi-8930 date: 2018-04-08 words: 713 flesch: 43 summary: We would like to thank James Moore and Zheng Wen for integrating city data systems with fatal overdose data to produce the final dataset. ISDS 2018 Conference Abstracts Leveraging City Data to Understand the Opioid Epidemic in Philadelphia Lia N. Pizzicato*2, 1, Caroline C. Johnson1 and Kendra M. Viner1 1Philadelphia Department of Public Health, Philadelphia, PA, USA; 2CSTE Applied Epidemiology Fellowship, Atlanta, GA, USA Objective To match fatal overdose information across city data sources to understand which systems overdose decedents may have interacted with prior to their death Introduction Philadelphia is in the midst of a drug epidemic that killed 702 Philadelphians in 2015, 907 in 2016, and is on trajectory to kill 1,200 in 2017. keywords: city; overdose; systems cache: ojphi-8930.pdf plain text: ojphi-8930.txt item: #1202 of 1513 id: ojphi-8931 author: None title: ojphi-8931 date: 2018-04-08 words: 744 flesch: 30 summary: Following patient interview, all cases with a positive HAV immunoglobulin M antibody, HAV infection symptomology, and association with Campus A, were considered outbreak cases. MCDPH evaluated the timeliness of reporting by comparing the date when outbreak cases were first available in ESSENCE to the date they were entered into MEDSIS. keywords: cases; hav; infection cache: ojphi-8931.pdf plain text: ojphi-8931.txt item: #1203 of 1513 id: ojphi-8932 author: None title: ojphi-8932 date: 2018-04-08 words: 790 flesch: 45 summary: Full medical record chart abstraction of the birth hospital visit of potential cases is then conducted applying further inclusion guidelines to identify ZBD cases. Recent reports of late presentation of birth defects consistent with CZS suggest that some cases are being missed due to identification and diagnosis of the condition after birth.2 As one component of a broader strategy to obtain a more accurate surveillance count, we seek to identify potential ZBD cases first diagnosed in the 6-month postpartum period using Medicaid claims data. keywords: birth; cases; zika cache: ojphi-8932.pdf plain text: ojphi-8932.txt item: #1204 of 1513 id: ojphi-8933 author: None title: ojphi-8933 date: 2018-04-08 words: 523 flesch: 47 summary: Our modelling study provided important theoretical support for disease control decision making during school outbreaks and the development of a school-based vaccination programme. Conclusions There was a considerable increase in reported varicella cases from 2013 to 2015 in Shenzhen. keywords: school; shenzhen cache: ojphi-8933.pdf plain text: ojphi-8933.txt item: #1205 of 1513 id: ojphi-8934 author: None title: ojphi-8934 date: 2018-04-08 words: 971 flesch: 52 summary: In Salmonella, AMR genes are usually found on plasmids that are transferable. Plasmid-encoded antibiotic resistance: acquisition and transfer of antibiotic resistance genes in bacteria. keywords: amr; isolates; plasmids; resistance; salmonella cache: ojphi-8934.pdf plain text: ojphi-8934.txt item: #1206 of 1513 id: ojphi-8935 author: None title: ojphi-8935 date: 2018-04-08 words: 868 flesch: 27 summary: Keywords Coxiella burnetii; Q fever; natural foci; Ixodic ticks; Myomorphic rodents Acknowledgments Authors would like to express their gratitude to the State Institution Odesa Regional Laboratory Center of the Ministry of Health of Ukraine and State Institution Ivano-Frankivsk Regional Laboratory Center of the Ministry of Health of Ukraine. Results Primarily, Q fever endemic areas are formed because of the circulation of Coxiella burnetii in warm-blooded animal populations and their blood-sucking ectoparasites, which are the main source of the infection in humans. keywords: fever; ukraine cache: ojphi-8935.pdf plain text: ojphi-8935.txt item: #1207 of 1513 id: ojphi-8936 author: None title: ojphi-8936 date: 2018-04-08 words: 890 flesch: 39 summary: No concerning trends in reported syndromes or chief complaints were identified among Texas or Florida patients. Likewise, seeing no substantial increase ED patients with residence in Texas reassured TDH that the effects of Hurricane Harvey were not impacting hospital emergency departments in Tennessee. keywords: patients; state; tennessee cache: ojphi-8936.pdf plain text: ojphi-8936.txt item: #1208 of 1513 id: ojphi-8939 author: None title: ojphi-8939 date: 2018-04-08 words: 712 flesch: 43 summary: On the 10th of July 2017, a case of confirmed Influenza A/H1N1 was reported through the immediate disease notification system from a private hospital in the Hhohho region. Two nasal swaps from each sample were taken and sent to a private laboratory in South Africa for the detection of the virus RNA using RT-PCR to assess for the presence Influenza A, B and Influenza A/H1N1. keywords: h1n1; health; influenza cache: ojphi-8939.pdf plain text: ojphi-8939.txt item: #1209 of 1513 id: ojphi-8944 author: Mike Conway title: None date: 2018-09-07 words: 7652 flesch: 41 summary: In this paper, we describe the process and results of a consultancy involving four types of public health stakeholders, including (1) representatives from public health departments (local, state, federal), (2) university researchers focused on computational methods for public health surveil- lance, (3) members of public health oriented non-governmental organisations, and (4) industry representatives, all interested in developing validated, standardised and portable resources (meth- mailto:mike.conway@utah.edu Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 10(2):e209, 2018 OJPHI ods and data sets) for negation detection in clinical text used for public health surveillance. Introduction Despite considerable effort since the turn of the century to develop Natural Language Processing (NLP) methods and tools for public health surveillance, few standardised methods have emerged. keywords: approaches; case; chief; clinical; complaints; consultancy; data; detection; developers; health; informatics; needs; negation; negation detection; online; public; public health; pubmed; surveillance; text; use cache: ojphi-8944.pdf plain text: ojphi-8944.txt item: #1210 of 1513 id: ojphi-8945 author: None title: ojphi-8945 date: 2018-04-08 words: 956 flesch: 44 summary: However, according to the World Health Organization (WHO) estimates, we need to enhance the annual incidence rate reduction by 10% by 2025, and TB mortality rate should be reduced to 6.5% in order to achieve the strategy-targeted values. Introduction The global strategy for eliminating tuberculosis (TB) epidemic “End TB” has been implemented in the world since 2016. keywords: mdr; treatment cache: ojphi-8945.pdf plain text: ojphi-8945.txt item: #1211 of 1513 id: ojphi-8946 author: None title: ojphi-8946 date: 2018-04-08 words: 581 flesch: 43 summary: When excess deaths coincide with hot temperatures, the bulletin is sent to the Heat Plan Team (also at RIVM). ISDS 2018 Conference Abstracts Mortality surveillance in the Netherlands: severity of winter 2016/2017 Liselotte van Asten*1, Marit de Lange1, Anne Teirlinck1, Lenny Stoeldraijer2, Carel Harmsen2 and Wim van der Hoek1 1Centre for Infectious Disease Control Netherlands, National Institute for Public Health and the Environment (RIVM), Utrecht, Netherlands; 2Statistics Netherlands, The Hague, Netherlands Objective Weekly numbers of deaths are monitored to increase the capacity to deal with both expected and unusual (disease) events such as pandemic influenza, other infections and non-infectious incidents. keywords: mortality; netherlands cache: ojphi-8946.pdf plain text: ojphi-8946.txt item: #1212 of 1513 id: ojphi-8947 author: None title: ojphi-8947 date: 2018-04-08 words: 872 flesch: 26 summary: In FY 2018, NBIC Biofeeds will begin operational use by NBIC and an initial set of users in various federal agencies. NBIC anticipates other federal agencies with biosurveillance missions will find this technology of value and intends to offer use of the platform to those federal partners that can benefit from access to the tool and information generated from NBIC Biofeeds. keywords: biofeeds; biosurveillance; information; nbic cache: ojphi-8947.pdf plain text: ojphi-8947.txt item: #1213 of 1513 id: ojphi-8948 author: None title: ojphi-8948 date: 2018-04-08 words: 899 flesch: 33 summary: With Sofia2, a recent upgrade, positive influenza test results can be obtained in as few as 3 minutes, depending on virus levels. Virena data demonstrated similar influenza activity trends on national and regional levels as that depicted by the clinical laboratory and NREVSS data collected by the CDC; however, the Virena data were collected and reported sooner (Figure 2). keywords: influenza; results; virena cache: ojphi-8948.pdf plain text: ojphi-8948.txt item: #1214 of 1513 id: ojphi-8949 author: None title: ojphi-8949 date: 2018-04-08 words: 950 flesch: 37 summary: In the same line, the current forms of Global Health Governance façades operational issues and does not sufficiently meet the needs at local levels. 2. Is prevalence of zoonotic disease vary in accordance with change of local urban governance (Outcome: Prevalence of Zoonotic diseases & Exposure: Governance Index for last 10 years) keywords: governance; health; zoonotic cache: ojphi-8949.pdf plain text: ojphi-8949.txt item: #1215 of 1513 id: ojphi-8950 author: None title: ojphi-8950 date: 2018-04-08 words: 747 flesch: 38 summary: ED visits related to the consumption of SC were identified from ICD-10 codes of the principal diagnostic according to two levels of confidence: - a probable case was defined as ED visit coded X69 (Intentional self-poisoning by and exposure to other and unspecified chemicals and noxious substances). This code has been implemented specifically by ED physicians since august 2015; - a suspect case was defined as ED visit coded: F11 (Mental and behavioral disorders due to use of opioids), F12 (Mental and behavioral disorders due to use of cannabinoids), F16 (Mental and behavioral disorders due to use of hallucinogens), F18 (Mental and behavioral disorders due to use of volatile solvents), F19 (Mental and behavioral disorders due to multiple drug use and use of other psychoactive substances). keywords: use; visits cache: ojphi-8950.pdf plain text: ojphi-8950.txt item: #1216 of 1513 id: ojphi-8951 author: None title: ojphi-8951 date: 2018-04-08 words: 848 flesch: 57 summary: The genus Hyalomma accounted for 65.8% of tick pools, Rhipicephalus for 31.8%, Ornithodoros for 2.4%, and Argas for 0.5%. In addition to tick bites, contact with bodily fluids from viremic livestock or from symptomatic humans are risk factors for infection. keywords: cchf; ticks; virus cache: ojphi-8951.pdf plain text: ojphi-8951.txt item: #1217 of 1513 id: ojphi-8952 author: None title: ojphi-8952 date: 2018-04-08 words: 897 flesch: 48 summary: Existence of natural foci of WNF viruses has been well-proven all over the territory of Ukraine by testing IgG antibodies in different groups of population, including children [1]. [4]. Registration of WNF cases separately from other viral hemorrhagic fevers has been conducted in the country since 2010 (official registration of total amount of viral hemorrhagic fevers has been performed since 2005). keywords: cases; mosquitoes; ukraine; wnf cache: ojphi-8952.pdf plain text: ojphi-8952.txt item: #1218 of 1513 id: ojphi-8953 author: None title: ojphi-8953 date: 2018-04-08 words: 802 flesch: 46 summary: ISDS 2018 Conference Abstracts Profile: Karachi Health and Demographic Surveillance System of Pakistan (KHDSS) Komal Naeem*, Muhammad Ilyas, Urooj Fatima, Momin Kazi, Fyezah Jehan, Yasir Shafiq, Murtaza Taiyab, Usma Mehmood, Rashid Ali, Anita K. Zaidi and Muhammad I. Nisar Pediatrics and Child Health, Aga Khan University, Karachi, Kotloff KL, Nataro JP, Blackwelder WC, Nasrin D, Farag TH, Panchalingam S, et al. Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study. keywords: health; karachi; pakistan; surveillance cache: ojphi-8953.pdf plain text: ojphi-8953.txt item: #1219 of 1513 id: ojphi-8954 author: None title: ojphi-8954 date: 2018-04-08 words: 912 flesch: 45 summary: Public health surveillance for mass gatherings. These categories were used to create dashboards within Oregon ESSENCE and shared in a guidance document for local health departments and hospitals. keywords: eclipse; health; mass; oregon; surveillance cache: ojphi-8954.pdf plain text: ojphi-8954.txt item: #1220 of 1513 id: ojphi-8955 author: None title: ojphi-8955 date: 2018-04-08 words: 829 flesch: 30 summary: Harris County Public Health (HCPH) was responsible for round-the-clock surveillance to monitor resident health status and prevent communicable disease outbreaks within the mega-shelter. Rapid epidemiology consultations were performed for shelter residents displaying symptoms consistent with communicable illness or other signs of distress during nightly cot surveys. keywords: disease; health; shelter; surveillance cache: ojphi-8955.pdf plain text: ojphi-8955.txt item: #1221 of 1513 id: ojphi-8956 author: None title: ojphi-8956 date: 2018-04-08 words: 502 flesch: 37 summary: Disease severity was correlated with natural factors including air temperature, humidity, number of annual heat days, geographical factors, type of landscape, number of carriers, and the contact intensity between disease carrier and transmitter. Introduction The frequency of disease outbreaks varies as a result of complex biological processes. keywords: disease; years cache: ojphi-8956.pdf plain text: ojphi-8956.txt item: #1222 of 1513 id: ojphi-8957 author: None title: ojphi-8957 date: 2018-04-08 words: 977 flesch: 50 summary: The months of June and July saw 15 specific cases that were potentially due to HAB exposure. Recreational water query text: (, (, ^ lake^, andnot, (, ^road^, or, ^rd^, or, ^sky^, or, ^oswego^, or, ^view^,),), or, ^swim^, or, (, ^ river ^, andnot, (, ^driver^, or, ^hood^, or, ^rd^, or, ^road^, or, ^three^,),), or, ^ boat^,), andnot, ^feels like^ All queries were compiled into a myESSENCE page that could be shared for easy monitoring by all members of the team (Figure 1). keywords: essence; hab; water cache: ojphi-8957.pdf plain text: ojphi-8957.txt item: #1223 of 1513 id: ojphi-8958 author: None title: ojphi-8958 date: 2018-04-08 words: 725 flesch: 31 summary: Supervisors indicated that the module could be used to: 1) roster and credential responders prior to an event; 2) track where responders are, monitor their health and safety during an event, and quantify the human resources deployed during a declared emergency; and, 3) to distribute post-response responder resources, monitor responder health, and gather information for after-action reports. Monitoring responder health and safety is crucial to responding to and preventing outbreaks during a response, and ensuring responders get appropriate mental and physical support after a deployment. keywords: health; responders cache: ojphi-8958.pdf plain text: ojphi-8958.txt item: #1224 of 1513 id: ojphi-8959 author: None title: ojphi-8959 date: 2018-04-08 words: 576 flesch: 40 summary: Methods A joint multidisciplinary committee was formed by ABU and ABUTH with representatives from the Department of Community Medicine, Internal Medicine, Nursing sciences, Veterinary Public Health, Medical Microbiology, Mass Communication, Directorate of Public Affairs ABU Zaria, General Administration and Management services division ABUTH, the University Health Services and the Centre for Disease Risk Management under the Department of Geography. Keywords Ebola Virus Disease; Prepareness; prevention Acknowledgments The Ahmadu Bello University Zaria, Nigeria The Ahmadu Bello University Teaching Hospital Zaria References ABU/ABUTH Joint Committee For The Prevention And Control Of Ebola Virus Disease (ABUPACE) Blueprint For Prevention And Control Of Ebola Virus Disease In ABU/ABUTH Zaria 2014. keywords: control; university; zaria cache: ojphi-8959.pdf plain text: ojphi-8959.txt item: #1225 of 1513 id: ojphi-8960 author: None title: ojphi-8960 date: 2018-04-08 words: 1060 flesch: 53 summary: Methods Analytical cross-sectional study was conducted to assess the risk of HIV among seasonal Labour migrants of three VDCs from three district of mid Terai Region of Nepal which is the transition point for seasonal migrants going to India. Similar study conducted among seasonal migrants reported that only 62% used condom during sex with sex worker and HIV infection was found only on those who visited Mumbai (6.1%) and had sex with sex workers without using condom [2]. keywords: hiv; migrants; risk cache: ojphi-8960.pdf plain text: ojphi-8960.txt item: #1226 of 1513 id: ojphi-8961 author: None title: ojphi-8961 date: 2018-04-08 words: 855 flesch: 42 summary: ISDS 2018 Conference Abstracts Self-Reported Selected Zoonotic Diseases among Animal Handlers in Ahmedabad City Krupali B. Patel*1 and Dr. Deepak B. Saxena2 1Center for Development Research (ZEF C), Bonn University, Bonn- 53113, Germany; 2Indian Institute of Public Health Gandhinagar, Gandhinagar, India Objective The present study aims to document the burden of self-reported selected zoonotic diseases (Z/D/S) among animal handlers in urban areas of Ahmedabad Introduction The usual mechanism of disease or infection transmission from vertebrate animals to humans and vice-versa is classified as zoonosis Studies suggest the prevalence of innumerable known and important Z/D/S such as leptospirosis, rabies, avian influenza but the extent of burden of zoonotic diseases amongst high-risk cohorts such as animal handlers within urban geography not adequately documented Methods A cross-sectional study conducted amongst animal handlers residing in the urban/peri-urban areas of Ahmedabad. keywords: animal cache: ojphi-8961.pdf plain text: ojphi-8961.txt item: #1227 of 1513 id: ojphi-8963 author: None title: ojphi-8963 date: 2018-04-08 words: 724 flesch: 39 summary: Although the majority of the healthcare entities are located in nearby counties, 90% of patient movement occurred across Orange County entities. ISDS 2018 Conference Abstracts Social Network Analysis across Healthcare Entities, Orange County, FL, 2016 Danielle Rankin* Epidemiology, Florida Department of Health in Orange County, Orlando, FL, USA Objective To create a baseline social network analysis to assess connectivity of healthcare entities through patient movement in Orange County, Florida. keywords: county; healthcare; orange cache: ojphi-8963.pdf plain text: ojphi-8963.txt item: #1228 of 1513 id: ojphi-8964 author: None title: ojphi-8964 date: 2018-04-08 words: 755 flesch: 34 summary: Despite these events, there have been limited efforts to conduct real-time surveillance of toxicological exposures in companion animals nationally, and there is no central registry for the reporting of toxicological events in companion animals in the United States. Therefore, the AnTox database represents a novel source of data for real-time surveillance of toxicological events in companion animals, and may be used for surveillance of pet food and environmental contamination events that may negatively impact both veterinary and human health. keywords: animals; companion; data cache: ojphi-8964.pdf plain text: ojphi-8964.txt item: #1229 of 1513 id: ojphi-8965 author: None title: ojphi-8965 date: 2018-04-08 words: 945 flesch: 35 summary: Outbreak information from home jurisdictions of Final Four teams resulted in increased index of suspicion for mumps, additional surveillance and mentions in media surveillance reports. Keywords mass gathering; syndromic surveillance; public health surveillance; epidemiological surveillance; Information sharing Acknowledgments Thank you to the 2017 NCAA Final Four enhanced surveillance team. keywords: health; information; reports; surveillance cache: ojphi-8965.pdf plain text: ojphi-8965.txt item: #1230 of 1513 id: ojphi-8966 author: None title: ojphi-8966 date: 2018-04-08 words: 736 flesch: 43 summary: ISDS 2018 Conference Abstracts Surveillance of a Synthetic Cannabinoid Overdose Outbreak using Syndromic & EMS Data Peter J. Rock* and Michael D. Singleton College of Public Health, University of Kentucky, Lexington, KY, USA Objective The aim of this project was to investigate anecdotal reports of an increase in synthetic cannabinoid (SynCan) overdoses in Lexington- Fayette County area of Kentucky, using rapid surveillance systems including emergency department (ED) syndromic surveillance (SyS) and emergency medical services (EMS) data. Additionally, analysis of EMS data revealed that a large portion of these overdoses were being admitted for observational care and thus not being captured in SyS data (based on the primary hospital’s submission types). keywords: data; ems; health cache: ojphi-8966.pdf plain text: ojphi-8966.txt item: #1231 of 1513 id: ojphi-8967 author: None title: ojphi-8967 date: 2018-04-08 words: 964 flesch: 40 summary: Screening Using Electronic Health Records Brian E. Dixon*1, 2, Jane Wang2, Timothy E. O’Connor3 and Janet N. Arno3, 2 1Epidemiology, Indiana University Fairbanks School of Public Health, Indianapolis, IN, USA; 2Regenstrief Insitute, Indianapolis, IN, USA; 3Indiana University School of Medicine, Indianapolis, IN, USA Objective To measure stillbirth delivery rates and syphilis screening rates among women with a stillbirth delivery using electronic health record data available in a health information exchange. Conclusions Using integrated electronic health records data, we discovered that fetal deaths occurred more frequently (7.44 versus 4.09 per 1,000) than previously estimated2 through fetal death reporting mechanisms in Indiana. keywords: health; stillbirth; syphilis; testing cache: ojphi-8967.pdf plain text: ojphi-8967.txt item: #1232 of 1513 id: ojphi-8968 author: None title: ojphi-8968 date: 2018-04-08 words: 336 flesch: 14 summary: In recent years, continued progress has been made in developing and strengthening syndromic surveillance activities. At the national level, syndromic surveillance activities are facilitated by the National Syndromic Surveillance Program (NSSP), a collaboration among state and local health departments, the CDC, other federal organizations, and other organizations that enabled collection of syndromic surveillance data in a timely manner, application of advanced data monitoring and analysis techniques, and sharing of best practices. keywords: department; health cache: ojphi-8968.pdf plain text: ojphi-8968.txt item: #1233 of 1513 id: ojphi-8969 author: None title: ojphi-8969 date: 2018-04-08 words: 940 flesch: 33 summary: We recommend the these surveillance approaches: Syndromic surveillance of WBD outbreaks to capture early outbreaks of diarrheal, and as many suspected cases as possible in a timely manner Sentinel surveillance at specific healthcare facilities in the proximity of swimming pools where outbreaks can occur Active Lab-based surveillance would offer more robust and complete analysis of the prevalence and incidence of acute GI illness outbreaks in the State Conclusions Our study concluded that state health department should begin a two-part surveillance system: i) distributing MAHC guideline surveys & education packet; ii) syndromic surveillance system for outbreaks. Cryptosporidium is most common agent associated with swimming pool outbreaks. keywords: mahc; outbreaks; surveillance cache: ojphi-8969.pdf plain text: ojphi-8969.txt item: #1234 of 1513 id: ojphi-8971 author: None title: ojphi-8971 date: 2018-04-08 words: 924 flesch: 41 summary: CCs and DDs in visit messages were not complete within 24 hours of initial visit. During July 10–24, 2017, we calculated the daily frequency of visits occurring in the previous 90 days for total ED visits and syndrome-matched visits for 8 selected syndromes (heat-related illness; cold exposure; influenza-like-illness; nausea, vomiting, and diarrhea; animal/bug bites and stings; drowning/submersion; alcohol/ drug intoxication; and medication replacement). keywords: syndrome; visits cache: ojphi-8971.pdf plain text: ojphi-8971.txt item: #1235 of 1513 id: ojphi-8972 author: None title: ojphi-8972 date: 2018-04-08 words: 920 flesch: 41 summary: We described the public health preparedness, implemented a tablet-based participatory syndromic surveillance among pilgrims of the yatra and reviewed satisfaction of the pilgrims regarding implementation of public health measures, Ujjain during 21-26, April, 2017. Implementation of such surveillance helps in tracking health events and therefore, may facilitate preparedness and response. keywords: health; pilgrims; surveillance; yatra cache: ojphi-8972.pdf plain text: ojphi-8972.txt item: #1236 of 1513 id: ojphi-8973 author: None title: ojphi-8973 date: 2018-04-08 words: 861 flesch: 48 summary: Keywords Mass Gatherings; participatory; syndromic surveillance; India; Tablet based Acknowledgments During the festival period of over one month, surveillance data indicated increasing trends of self-reported cough and fever and declining trends of self-reported dehydration (Figure-1). keywords: festival; india; mass; surveillance cache: ojphi-8973.pdf plain text: ojphi-8973.txt item: #1237 of 1513 id: ojphi-8974 author: None title: ojphi-8974 date: 2018-04-08 words: 917 flesch: 50 summary: Methods The Virginia Department of Health (VDH) analyzed syndromic surveillance data from three emergency departments (EDs) in the Charlottesville area (defined to include Charlottesville city and Albemarle county), regardless of patient residence following the Unite the Right rally. Conclusions Previous work done in Virginia to identify ED visits related to anxiety included only chief complaint criteria in the syndrome definition. keywords: anxiety; charlottesville; health; visits cache: ojphi-8974.pdf plain text: ojphi-8974.txt item: #1238 of 1513 id: ojphi-8975 author: None title: ojphi-8975 date: 2018-04-08 words: 940 flesch: 36 summary: The survey assessed interest in participation in a Community of Practice for Washington State syndromic data users, the timing and format for meetings, needs for technical assistance, and topic areas of interest. Between March 2016 and October 2017, RHINO received 8 invitations to present to audiences of potential syndromic data users. keywords: data; state; washington cache: ojphi-8975.pdf plain text: ojphi-8975.txt item: #1239 of 1513 id: ojphi-8976 author: None title: ojphi-8976 date: 2018-04-08 words: 784 flesch: 36 summary: Conclusions Engagement of Caribbean visitor accommodations in public health surveillance is a novel but critical undertaking for promoting health, safety, and security for both visitors and locals in the tourism dependent Caribbean region, but it will take time to establish. The new Tourism and Health Information System (THiS) was implemented for syndromic surveillance in visitor accommodations in the Caribbean region. keywords: accommodations; fever; health cache: ojphi-8976.pdf plain text: ojphi-8976.txt item: #1240 of 1513 id: ojphi-8977 author: None title: ojphi-8977 date: 2018-04-08 words: 754 flesch: 52 summary: The prevalence of drug overdoses differed across age groups. The detection of drug overdoses was highest among our youth and young adult populations; 16 to 20 year olds (16.0%), 21-25 year olds (11.4%), 26-30 year olds (11.4%). keywords: drug; health; overdose cache: ojphi-8977.pdf plain text: ojphi-8977.txt item: #1241 of 1513 id: ojphi-8978 author: None title: ojphi-8978 date: 2018-04-08 words: 500 flesch: 29 summary: Among cases with repeat tests, 15.9% of pregnant females, 14.6% of non-pregnant females, and 16.3% of males had at least one repeat positive result within one year of the index positive result. ISDS 2018 Conference Abstracts Temporal Patterns in Chlamydia Repeat Testing and Positivity Rates in Massachusetts Elizabeth C. Dee*1, 2, Katherine K. Hsu2, Benjamin A. Kruskal3, John T. Menchaca1, Bob Zambarano4, Noelle Cocoros1, Brian Herrick5, Michelle D. Weiss5, Ellen Hafer6, Diana Erani6, Mark Josephson6, Jessica Young1 and Michael Klompas1, 7 1Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; 2Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA; 3Atrius Health, Boston, MA, USA; 4Commonwealth Informatics, Waltham, MA, USA; 5Cambridge Health Alliance, Cambridge, MA, USA; 6Massachusetts League of Community Health Centers, Boston, MA, USA; 7Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA Objective To evaluate current rates and temporal trends in adherence with national guidelines recommending chlamydia test-of-cure for pregnant females and test-of-reinfection for all patients. keywords: test; usa cache: ojphi-8978.pdf plain text: ojphi-8978.txt item: #1242 of 1513 id: ojphi-8979 author: None title: ojphi-8979 date: 2018-04-08 words: 692 flesch: 47 summary: ISDS 2018 Conference Abstracts Title: Sero-prevalence of bovine and human brucellosis on selected farms in South-western Uganda Mary L. Nanfuka* Animal Health, Ministry of Agriculture Animal Industry and Fisheries, Entebbe, Uganda Objective To determine the seroprevalence of Brucellosis antibodies in cattle in 3 districts in South-western Uganda (Mbarara, Kiruhura and Bushenyi) and to determine the seroprevalence of Brucellosis among the cattle keepers on farms with cattle detected with brucellosis antibodies in the same districts and also to determine the level of awareness of Brucellosis disease among individuals that get in contact with livestock in the same districts Introduction Brucellosis is among the zoonotic diseases that continue to afflict man and animals in Uganda. Brucellosis infection in humans is non-specific and caused by direct or indirect contact with infected animals or their products. keywords: brucellosis; cattle; health; uganda cache: ojphi-8979.pdf plain text: ojphi-8979.txt item: #1243 of 1513 id: ojphi-8980 author: None title: ojphi-8980 date: 2018-04-08 words: 248 flesch: 44 summary: However, despite the increased insight into data quality, there are still concerns about data sharing and comparisons across sites. ISDS 2018 Conference Abstracts The Myths and Truths About Comparing Syndromic Data Across Sites Michael Coletta* and Aaron Kite-Powell CSELS/DHIS, Centers for Disease Control and Prevention, Atlanta, GA, USA Objective As the BioSense Platform matures and more sites submit surveillance data, many in the community have voiced concerns about comparing data across sites. keywords: data cache: ojphi-8980.pdf plain text: ojphi-8980.txt item: #1244 of 1513 id: ojphi-8982 author: None title: ojphi-8982 date: 2018-04-08 words: 997 flesch: 44 summary: The rate of suspected heroin overdose visits to total ED visits was highest in June 2017 (8.7 per 10,000) and lowest in August 2016 (6.6 per 10,000 visits). ISDS 2018 Conference Abstracts Tracking suspected heroin overdoses in CDC’s National Syndromic Surveillance Program Alana M. Vivolo-Kantor*1, R. Matthew Gladden1, Aaron Kite-Powell2, Michael Coletta2 and Grant Baldwin1 1Division of Unintentional Injury Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA; 2Division of Health Informatics and Surveillance, Centers for Disease Control and Prevention, Atlanta, GA, USA Objective This paper analyzes emergency department syndromic data in the Centers for Disease Control and Prevention’s (CDC) National Syndromic Surveillance Program’s (NSSP) BioSense Platform to understand trends in suspected heroin overdose. keywords: data; heroin; overdose; visits cache: ojphi-8982.pdf plain text: ojphi-8982.txt item: #1245 of 1513 id: ojphi-8983 author: None title: ojphi-8983 date: 2018-04-08 words: 991 flesch: 52 summary: Sensitivity, specificity, and positive predictive value will be calculated based on agreement of coding mental health against the human review of mental health visits. The objectives of this study are to (1) create a mental health syndrome definition for syndromic surveillance to monitor mental health-related ED visits in near real time; (2) examine whether CC data alone can accurately detect mental health related ED visits; and (3) assess the added value of using Dx data to detect mental health- related ED visits. keywords: health; visits cache: ojphi-8983.pdf plain text: ojphi-8983.txt item: #1246 of 1513 id: ojphi-8984 author: None title: ojphi-8984 date: 2018-04-08 words: 795 flesch: 41 summary: ISDS 2018 Conference Abstracts Using Discharge Diagnoses for Early Notification of Reportable Diseases in Georgia Rene Borroto*1, Jessica Grippo1, Karl Soetebier1, Wendy Smith2, Bill Williamson1, Patrick Pitcher1, Lance Ballester1 and Cherie Drenzek1 1Georgia Department of Public Health, Atlanta, GA, USA; 2Fulton County Board of Health, Atlanta, GA, USA Objective To describe how the Georgia Department of Public Health (DPH) uses ICD-9 and ICD-10-based discharge diagnoses (DDx) codes assigned to Emergency Department (ED) patients to support the early detection and investigation of outbreaks, clusters, and individual cases of reportable diseases. Introduction The Georgia DPH has used its State Electronic Notifiable Disease Surveillance System (SendSS) Syndromic Surveillance (SS) module to collect, analyze and display analyses of ED patient visits, including DDx data from hospitals throughout Georgia for early detection and investigation of cases of reportable diseases before laboratory test results are available. keywords: diseases; health; reportable cache: ojphi-8984.pdf plain text: ojphi-8984.txt item: #1247 of 1513 id: ojphi-8985 author: None title: ojphi-8985 date: 2018-04-08 words: 472 flesch: 45 summary: The overall objective of this session is to discuss opportunities to use drug overdose syndromic surveillance (SyS) data to encourage action among local public health partners. After this roundtable discussion, participants will be able to: -Identify opportunities to promote use of drug overdose SyS data to their health partners. keywords: health; overdose cache: ojphi-8985.pdf plain text: ojphi-8985.txt item: #1248 of 1513 id: ojphi-8986 author: None title: ojphi-8986 date: 2018-04-08 words: 594 flesch: 39 summary: ISDS 2018 Conference Abstracts Using ESSENCE to Detect Bomb-Making Activity: What’s Appropriate? Andrew Torgerson* Saint Louis County Department of Public Health, Berkeley, MO, USA Objective To describe a novel application of ESSENCE by the Saint Louis County Department of Public Health (DPH) in preparation for a mass gathering and to encourage discussion about the appropriateness of sharing syndromic surveillance data with law enforcement partners. Introduction In preparation for mass gathering events, DPH conducts enhanced syndromic surveillance activities to detect potential cases of anthrax, tularemia, plague, and other potentially bioterrorism-related communicable diseases. keywords: dph; surveillance cache: ojphi-8986.pdf plain text: ojphi-8986.txt item: #1249 of 1513 id: ojphi-8987 author: None title: ojphi-8987 date: 2018-04-08 words: 982 flesch: 45 summary: Currently, malaria data are scattered across different countries, laboratories, and organizations in different heterogeneous data formats and repositories. Improving the interoperability of data sources through the use of shared semantics is a key consideration when designing surveillance systems, which must be robust in the face of dynamic changes to one or more components of a distributed infrastructure. keywords: data; malaria; services; surveillance cache: ojphi-8987.pdf plain text: ojphi-8987.txt item: #1250 of 1513 id: ojphi-8988 author: None title: ojphi-8988 date: 2018-04-08 words: 733 flesch: 42 summary: UDOH is currently evaluating syndromic surveillance data versus hospital discharge data for opioid-related emergency department visits, which may further optimize queries in ESSENCE, in order to provide improved opioid surveillance data to local public health partners. This analysis demonstrates that using syndromic surveillance data provides a more time-efficient alternative, enabling more rapid public health interventions, which improved opportunities to reduce opioid-related morbidity and mortality in Utah. keywords: data; opioid cache: ojphi-8988.pdf plain text: ojphi-8988.txt item: #1251 of 1513 id: ojphi-8989 author: None title: ojphi-8989 date: 2018-04-08 words: 639 flesch: 48 summary: In addition to routine surveillance using FPICN and reportable disease surveillance data to identify acute naled-related illness, the Florida Department of Health (DOH) also monitored ED chief complaints data to identify any associated increase in ED visits. Near real-time access to ED chief complaints data along with FPICN and Merlin data has enhanced surveillance capability for DOH and helped address public health concerns related to naled-related illness following aerial spraying in Miami-Dade County. keywords: data; illness; surveillance cache: ojphi-8989.pdf plain text: ojphi-8989.txt item: #1252 of 1513 id: ojphi-8990 author: None title: ojphi-8990 date: 2018-04-08 words: 729 flesch: 44 summary: 615 (6.5%) samples tested positive for influenza A, while 385 (4.1%) tested positive for influenza B viruses and 10 (0.1%) were co-infections between influenza A and B. Of the 2,062 influenza negative samples, results indicated positivity for the following organisms; adenoviruses (9.4%), respiratory syncytial B (7.3%), parainfluenza-3 (4.5%), parainfluenza-1 (4.3%), respiratory syncytial A (3.5%), human bocavirus (1.7%), human metapneumovirus (1.7%), human coronavirus (1.5%), parainfluenza-4 (1.4%) and parainfluenza-2 (0.9%) by PCR. Conclusions Influenza viruses account for about 11% of the causes of influenza like illness, with influenza A being the dominant type. Derrick E. Mimbe*1, Denis K. Byarugaba2, Bernard Erima1, Edison Mworozi3, Monica Millard1, Titus Tugume1, Jocelyn Kiconco1, Paska Lamunu1, Hannah Kibuuka1 and Fred Wabwire-Mangen3 1Makerere University Walter Reed Project, Kampala, Uganda; 2Makerere University College of Veterinary Medicine, Animal Resources and Bio-security, Kampala, Uganda; 3Makerere University College of Health Sciences, Kampala, Uganda Objective To determine viral causes of influenza-like illness in Uganda. keywords: causes; influenza; surveillance; uganda cache: ojphi-8990.pdf plain text: ojphi-8990.txt item: #1253 of 1513 id: ojphi-8991 author: None title: ojphi-8991 date: 2018-04-08 words: 959 flesch: 55 summary: Results of HIV serological testing and VL testing among HSS+ specimens in Ho Chi Minh City and Long An, 2016 Keywords Viral load testing; HIV sentinel surveillance; Vietnam; PWID Acknowledgments The survey included an interview using a standardized questionnaire and 7ml blood drawn for HIV testing. keywords: hiv; pwid; testing cache: ojphi-8991.pdf plain text: ojphi-8991.txt item: #1254 of 1513 id: ojphi-8992 author: None title: ojphi-8992 date: 2018-04-08 words: 977 flesch: 37 summary: Hypertension Prevalence for EHR and BRFSS Samples in Marion County, IN 2014-2015 Δ=Difference between BRFSS and EHR HTN prevalence; *Difference statistically equivalent by TOST (p<0.05); † n = 934; ‡ n = 530,244; Keywords Hypertension Surveillance; Electronic Health Record; Health Information Exchange; Community Survey; Public Health Informatics Acknowledgments HTN prevalence by sex, race, age, sex and age, and sex and race (n=120 comparisons) failed to demonstrate equivalence between EHR and BRFSS measures in all but two comparisons, both among females aged 18-39 years. keywords: ehr; health; htn; prevalence cache: ojphi-8992.pdf plain text: ojphi-8992.txt item: #1255 of 1513 id: ojphi-8995 author: None title: ojphi-8995 date: 2018-04-08 words: 363 flesch: 36 summary: Keywords NSSP; HHS Regional Epidemiology Groups; National Surveillance; Regional Surveillance *Michael Coletta E-mail: mac0@cdc.gov Online Journal of Public Health Informatics * Currently when NSSP staff at CDC or a particular program review HHS Regional data, they can only see trends at high levels. keywords: data cache: ojphi-8995.pdf plain text: ojphi-8995.txt item: #1256 of 1513 id: ojphi-9104 author: Olusesan Makinde title: ojphi-9104 date: 2018-09-06 words: 6607 flesch: 40 summary: The list of health facilities in a country infrequently changes thereby making the study of parallel efforts to develop health facility lists across the country a good case study to highlight duplication of effort. The goal of the TWG was to help determine the minimum dataset on health facilities that would satisfy all the stakeholders and to identify best practices for managing health facility lists in order to avoid duplication. keywords: development; duplication; effort; facilities; facility list; health; health facility; information; list; master; master health; national; nigeria; projects; public cache: ojphi-9104.pdf plain text: ojphi-9104.txt item: #1257 of 1513 id: ojphi-9114 author: None title: ojphi-9114 date: 2018-09-06 words: 4869 flesch: 40 summary: The pilot helped to highlight the need for improvements to the flexibility and timeliness of field data collection and the need for more agile generation of intelligence in support of risk management decisions and public health protection. An initial consultation was held with the project leads to identify data elements for mobile data collection. keywords: app; cnphi; collection; data; data collection; field; health; mobile; public; technology; web cache: ojphi-9114.pdf plain text: ojphi-9114.txt item: #1258 of 1513 id: ojphi-9117 author: Kubalalika title: ojphi-9117 date: 2018-09-14 words: 4647 flesch: 54 summary: Districts did not have enough resources and knowledgeable personnel to effectively manage and later on supervise the flow of VHR data from community to HC and district levels as expected. Districts do not have enough resources and knowledgeable personnel to effectively manage and later on supervise the flow of VHR data from community to HC and district levels as expected. keywords: data; district; health; information; malawi; registry; vhr; village cache: ojphi-9117.pdf plain text: ojphi-9117.txt item: #1259 of 1513 id: ojphi-9121 author: None title: ojphi-9121 date: 2018-04-11 words: 938 flesch: 31 summary: Key to remember is that evaluation must occur from an owner’s perspective and must engage the people who are going to govern, operate and provide the ongoing resources for system operation. Evaluation teams visited pilot sites and routine surveillance sites for comparison and conducted in-person interviews using questionnaires specific to the individual’s role. keywords: evaluation; health; system cache: ojphi-9121.pdf plain text: ojphi-9121.txt item: #1260 of 1513 id: ojphi-9122 author: None title: ojphi-9122 date: 2018-04-11 words: 811 flesch: 46 summary: During CDC’s previous implementation of a syndromic surveillance system (BioSense 2), there was a reported lack of transparency and sharing of information on the data processing applied to data feeds, encumbering the identification and resolution of data quality issues. Even with a new and improved data flow, data quality issues that were issues in the past, but went unreported, remained issues in the new data. keywords: completeness; data; quality cache: ojphi-9122.pdf plain text: ojphi-9122.txt item: #1261 of 1513 id: ojphi-9123 author: None title: ojphi-9123 date: 2018-04-11 words: 995 flesch: 50 summary: ISDS 2018 Conference Abstracts Return of test results in Vietnam HIV sentinel surveillance: Implementation and preliminary results Giang T. Le*1, Duc H. Bui2, Diep T. Vu1, Duong C. Thanh4, Nghia V. Khuu3, Huong T. Phan2, Sheryl Lyss1 and Abu Abdul-Quader1 1Centers for Disease Control and Prevention, Hanoi, Viet Nam; 2Vietnam Authority of HIV/AIDS Control, Ministry of Health, Hanoi, Viet Nam; 3Pasteur Institute, Ho Chi Minh, Viet Nam; 4National Institute of Hygiene and Epidemiology, Hanoi, Viet Nam Objective To describe the implementation and preliminary results of returning HIV test results to participants in Vietnam HIV sentinel surveillance. Table 1: Median and range of proportions, by province, of survey participants who received test results, by survey groups in HSS 2015-2016 Figure 1: Process of laboratory testing, returning of HIV test results and referral of participants in HSS. keywords: hiv; participants; results; test cache: ojphi-9123.pdf plain text: ojphi-9123.txt item: #1262 of 1513 id: ojphi-9124 author: None title: ojphi-9124 date: 2018-04-11 words: 677 flesch: 37 summary: The decrease in the proportion of children deaths from vaccine- preventable infections was from 2.12% in 1965 to 0.35% in 2015. The aim of this work was to determine the impact of vaccination on the dynamics of mortality and the contribution of vaccine preventable infections to the structure of total infectious mortality of the population of Ukraine over the past 50 years to develop a more effective system of surveillance for this group of infections. keywords: infections; vaccine cache: ojphi-9124.pdf plain text: ojphi-9124.txt item: #1263 of 1513 id: ojphi-9125 author: None title: ojphi-9125 date: 2018-04-11 words: 720 flesch: 42 summary: We would like to acknowledge the leadership and significant contribution of several TPH outbreak leads including: Dr. Michael Finkelstein and Debra Hayden. As well, by providing ill individuals a method to self-report, TPH was able to rapidly collect, analyze and interpret data over the weekend while minimizing use of TPH staff resources. keywords: gastrobusters; toronto; tph cache: ojphi-9125.pdf plain text: ojphi-9125.txt item: #1264 of 1513 id: ojphi-9147 author: Michael Popovich title: ojphi-9147 date: 2018-09-06 words: 5602 flesch: 42 summary: The illustrations used to demonstrate the The Power of Consumer Activism and the Value of Public Health Immunization Registries in a Pandemic: Preparedness for Emerging Diseases and Today’s Outbreaks Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 10(2):e203, 2018 OJPHI consumer engagement potential were not designed to test the hypothesis that consumer activism and the value of public health immunization registries in a pandemic would prove effective. 5Sustainment of public health immunization registries and technical infrastructure is the subject of a separate STC paper, “Sustaining the Public Health Immunization Ecosystem through Public Private Partnerships.” keywords: consumer; disease; health; immunization; individuals; information; outbreaks; pandemic; public; registries; today; value cache: ojphi-9147.pdf plain text: ojphi-9147.txt item: #1265 of 1513 id: ojphi-9221 author: Athar, Heba (CDC/ONDIEH/NCCDPHP) (CTR) title: None date: 2018-09-07 words: 5979 flesch: 37 summary: Despite these limitations, the study’s findings provide useful insight into integration project success. Secondly, project financing challenges are not new to public health departments, and this aspect seems to impact PHIS database integration project success, especially the launching of these initiatives. keywords: agile; database; database integration; executive; health; health information; information; integration; management; participants; program; project; public; state; study; success; system cache: ojphi-9221.pdf plain text: ojphi-9221.txt item: #1266 of 1513 id: ojphi-9229 author: I Seidu title: ojphi-9229 date: 2018-09-07 words: 4766 flesch: 52 summary: Joy News (25%) and City FM (8%) were the common sources of Ebola news for Today newspaper besides itself (22%). % Newspaper type Daily Graphic 62 39.7 Today 94 60.3 News story type News 130 83.3 Editorial 6 3.8 Column 2 1.3 Opinion articles 18 11.5 News original source Daily Graphic 62 39.7 Today 34 21.8 Joy news 39 25 City FM 13 8.3 Other 8 5.1 Table 2 Definition of Ebola news themes based on coverage Theme Definition 1. keywords: 2014; coverage; ebola; ebola outbreak; epidemic; ghana; health; media; news; outbreak; public; risk cache: ojphi-9229.pdf plain text: ojphi-9229.txt item: #1267 of 1513 id: ojphi-9306 author: None title: ojphi-9306 date: 2018-09-06 words: 5970 flesch: 56 summary: 12 Week Body Transformation (12WBT) √ √ √ √ √ √ √ √ √ Jamie Oliver X* X* √ √ X* X* X* √ √ Chef Pete Evans (Pete Evans) √ X X X √ X X √ X I Quit Sugar (IQS) √ X X X X √ X X** X The Healthy Mummy (Healthy Mummy) √ √ √ √ √ √ X √ √ Super Healthy Kids (SHK) √ √ √ √ X √ √ √ √ Quirky Cooking √ √ √ √ X √ X X X Weight Watchers AUSNZ (Weight Watchers) √ √ √ √ √ √ √ √ √ Rebel Dietitian √ √ √ √ √ √ X √ √ √ -aligned with AGHE.X-conflicting / contradictory to AGHE * consumption advice aligns with AGHE but stipulates organic versions as healthier. The “real food” trend is predominant online and promoted across popular Facebook pages. keywords: advice; aghe; eat; facebook; food; guidelines; health; nutrition; online; pages; public; √ √ cache: ojphi-9306.pdf plain text: ojphi-9306.txt item: #1268 of 1513 id: ojphi-9311 author: None title: None date: 2020-04-08 words: 11050 flesch: 33 summary: While taking into consideration the disparity factors highlighted above, a foremost concern for the region involves insufficient access to health care—particularly emergency and specialty services. Health care was a main economic driver for the community. keywords: access; care; community; county; development; ecosystem; equity; health; health care; health informatics; impact; informatics; journal; macon; model; outcomes; population; population health; public; rural; social; telehealth; telehealth ecosystem; tuskegee cache: ojphi-9311.pdf plain text: ojphi-9311.txt item: #1269 of 1513 id: ojphi-9312 author: Wittkopf, Hendrik title: ojphi-9312 date: 2018-09-06 words: 14690 flesch: 48 summary: Given the dynamic nature of social web data and users continuous and semi-automated means of corpora generation and maintenance are necessary. The Google Flu/Dengue Trends and BioCaster systems have been included because they were among the first large scale projects to be deployed for web based disease surveillance and their data and methods have widely been employed as benchmarks. keywords: 2017; approaches; choices; data; design; disease; disease surveillance; flu; google; health; health informatics; influenza; informatics; instance; issn; journal; language; learning; media; messages; mobile; models; monitoring; ojphi; online; public; pubmed; social; surveillance; systems; time; trends; twitter; users; web cache: ojphi-9312.pdf plain text: ojphi-9312.txt item: #1270 of 1513 id: ojphi-9317 author: Sripriya Rajamani title: None date: 2018-09-06 words: 5435 flesch: 41 summary: A vision for the systematic monitoring and improvement of the quality of electronic health data. With increasing demands for electronic data exchange for incoming data to MEDSS from clinical sectors and for outgoing data to Centers for Disease Control and Prevention (CDC), new informatics tools to support data validation and exchange were implemented. keywords: data; data exchange; electronic; exchange; health; impact; informatics; interoperability; laboratory; process; public; quality; reporting cache: ojphi-9317.pdf plain text: ojphi-9317.txt item: #1271 of 1513 id: ojphi-9333 author: GABRIEL KENEY title: ojphi-9333 date: 2018-09-07 words: 4527 flesch: 47 summary: Table 6: Correlation between using mobile apps to access medical information and ensuring effective and continuous service to clients Variable n df p Mobile apps can always be used as a source of information on medical issues 100 8 0.937 Without mobile medical apps, there cannot be effective and continuous service to the clients From Table 6, there is no significant relationship between using mobile apps to access medical information and ensuring effective and continuous service to clients (p≤ of 0.937). Therefore, the statement that “Mobile apps can always be used as a source of information on medical issues” did not agree with the question “Without mobile medical apps, there cannot be effective and continuous service to the clients”. keywords: access; apps; coast; health; information; mobile; phones; practice; respondents; use cache: ojphi-9333.pdf plain text: ojphi-9333.txt item: #1272 of 1513 id: ojphi-9357 author: Dammann, Olaf title: ojphi-9357 date: 2018-09-06 words: 3327 flesch: 55 summary: We briefly describe three examples: retinopathy of prematurity, diabetes in Panama, and smoking and obesity as risk factors for diabetes. Introduction In epidemiology, the concept of multi-causality holds that the occurrence of any disease depends on a set of risk factors, not just one. keywords: diabetes; disease; factors; model; outcome; population; risk cache: ojphi-9357.pdf plain text: ojphi-9357.txt item: #1273 of 1513 id: ojphi-9412 author: Theresa Munanga title: Legacy-Free by 2023 date: 2019-09-17 words: 4051 flesch: 45 summary: Immunization technology (IT) systems today are required to support increasing numbers of users. The overall hypothesis is there now is a sense of urgency that in order to sustain the investment that has been made in public health immunization information systems that truly do capture birth to death immunization events from all populations, we have reached a cross roads where the evolution to new technologies is essential. keywords: data; generation; health; iis; immunization; information; outcomes; state; support; systems; technology cache: ojphi-9412.pdf plain text: ojphi-9412.txt item: #1274 of 1513 id: ojphi-9432 author: Swatscheno, Janet Marie title: ojphi-9432 date: 2018-12-20 words: 4485 flesch: 48 summary: Figure 1: Cancer registry case reporting process depicted as a series of steps performed by registrars that occur at different points in time. Facility reporting time was investigated by distinguishing report completion time from report submission time. keywords: cancer; cases; data; facilities; health; registries; registry; reporting; time; timeliness cache: ojphi-9432.pdf plain text: ojphi-9432.txt item: #1275 of 1513 id: ojphi-9468 author: Toshiba title: ojphi-9468 date: 2019-09-16 words: 4842 flesch: 52 summary: This study tried to assess willingness of end users (obstetric care providers) to use mobile based e-Partograph in their routine care. The finding shown that 205(44%) of the participants were willing to use mobile based e-Partograph. keywords: care; ethiopia; gondar; health; mobile; north; partograph; phone; providers; use; willingness; zone cache: ojphi-9468.pdf plain text: ojphi-9468.txt item: #1276 of 1513 id: ojphi-9483 author: %username% title: ojphi-9483 date: 2019-09-16 words: 7962 flesch: 51 summary: The study findings support using usability testing studies before and after releasing the MCR-ARC maps to the potential users, and support extensive examination of the mapping reports to improve their usability. [24] �̅�𝑗 = ∑ 𝑛𝑖𝑗𝑡𝑖𝑗 𝑁 𝑖=1 ∑ 𝑡𝑖𝑗 𝑁 𝑖=1 ∙ 100 User Satisfaction SUS scale was used to assess the satisfaction per study subject [20]. keywords: cancer; experience; health; mapping; mapping reports; maps; missouri; participants; public; registry; reports; round; study; task; usability cache: ojphi-9483.pdf plain text: ojphi-9483.txt item: #1277 of 1513 id: ojphi-9487 author: None title: ojphi-9487 date: 2018-12-20 words: 7304 flesch: 47 summary: Influences, usage, and outcomes of Internet health information searching: multivariate results from the Pew surveys. Keywords: eHealth literacy; eHEALS; dentistry; online health information; consumer health information; patient education Abbreviations: electronic health(eHealth) *Correspondence: Shahabedin Rahmatizadeh, email: shahab.rahmatizadeh@gmail.com DOI: 10.5210/ojphi.v10i3.9487 keywords: access; decision; diseases; ehealth literacy; health; health information; information; internet; literacy; making; online; patients; pubmed; resources; study; use cache: ojphi-9487.pdf plain text: ojphi-9487.txt item: #1278 of 1513 id: ojphi-9542 author: Adeola Bamgboje title: ojphi-9542 date: 2018-12-20 words: 7334 flesch: 56 summary: [11], food cooking apps For example; the varying degree of food safety knowledge has facilitated many public food safety information campaigns, education and awareness programs [6]. keywords: app; consumer; food; group; health; impact; information; knowledge; knowledge retention; learning; management; participants; retention; sfm; smartphone; study; use cache: ojphi-9542.pdf plain text: ojphi-9542.txt item: #1279 of 1513 id: ojphi-9544 author: None title: ojphi-9544 date: 2018-12-20 words: 3966 flesch: 55 summary: Also, since people use the internet to obtain health information and in the absence of a unique tool used globally for the assessment of health websites, it is essential for doctors to know about their patients’ use of online information, so that they can guide them to trustable and high-quality websites. ISSN 1947-2579 * http://ojphi.org * 10(3):e221, 2018 OJPHI Websites as a tool for public health education: determining the trustworthiness of health websites on Ebola disease Ronak Hamzehei1, Masoumeh Ansari2, Shahabedin Rahmatizadeh3, Saeideh Valizadeh-Haghi4* 1. keywords: disease; ebola; health; health websites; information; internet; public; quality; trustworthiness; websites cache: ojphi-9544.pdf plain text: ojphi-9544.txt item: #1280 of 1513 id: ojphi-9566 author: None title: ojphi-9566 date: 2018-12-21 words: 4417 flesch: 44 summary: As a result, the PHQIX database represents a snapshot of QI activities in public health, and it is unknown whether that snapshot is representative of the universe of public health QI projects. This paper reports descriptive statistics of these self-assigned attributes and the results of multivariate analyses among QI methods, tools, and health department QI activity level. keywords: departments; exchange; health; improvement; initiatives; phqix; practice; public; quality cache: ojphi-9566.pdf plain text: ojphi-9566.txt item: #1281 of 1513 id: ojphi-9631 author: Dammann, Olaf title: ojphi-9631 date: 2019-03-05 words: 3222 flesch: 52 summary: He starts with the notion that wisdom is situated at the top of a hierarchy of types of content in the mind, followed by understanding, knowledge, information, mailto:olaf.dammann@tufts.edu Data, Information, Evidence, and Knowledge: Knowledge from evidence The traditional tripartite concept of knowledge as justified, true belief goes all the way back to Plato [9]. keywords: data; evidence; health; health informatics; hierarchy; information; knowledge; science cache: ojphi-9631.pdf plain text: ojphi-9631.txt item: #1282 of 1513 id: ojphi-9665 author: Swatscheno, Janet Marie title: ojphi-9665 date: 2019-04-29 words: 551 flesch: 34 summary: Through this surveillance, CDC identified another increase in AFM cases in 2016 (149 total cases), and obtained valuable information on the clinical presentation to help characterize this illness and the epidemiology of AFM. The lack of AFM knowledge has made preventing AFM, finding effective treatments for patients, and developing communication messages challenging. keywords: afm; information cache: ojphi-9665.pdf plain text: ojphi-9665.txt item: #1283 of 1513 id: ojphi-9666 author: Swatscheno, Janet Marie title: ojphi-9666 date: 2019-06-25 words: 891 flesch: 29 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e304, 2019 ISDS 2019 Conference Abstracts Communicating the detection capabilities of syndromic surveillance systems Roger Morbey Public Health England Objective To communicate the detection capabilities of syndromic surveillance systems to public health decision makers. In this study we quantify the detection capabilities of syndromic surveillance systems used by Public Health England (PHE). keywords: health; surveillance; systems cache: ojphi-9666.pdf plain text: ojphi-9666.txt item: #1284 of 1513 id: ojphi-9670 author: Swatscheno, Janet Marie title: ojphi-9670 date: 2019-04-29 words: 919 flesch: 43 summary: During Spring 2018, detection of canine influenza H3N2 among dogs in NYC caused concern in the veterinary community. Methods The NYC DOHMH built and deployed a web-based reporting platform to aid veterinarians in reporting cases of canine influenza. keywords: canine; data; influenza; nyc cache: ojphi-9670.pdf plain text: ojphi-9670.txt item: #1285 of 1513 id: ojphi-9671 author: Swatscheno, Janet Marie title: ojphi-9671 date: 2019-04-29 words: 1282 flesch: 32 summary: The dissemination of data briefs has also strengthened internal TDH partnerships including l inking Viral Hepatitis and HIV programs with OIA to develop visualizations that incorporate HCV and HIV data (Hepatitis C Virus; Human Immunodeficiency Virus) with opioid overdose data to better understand and elucidate the syndemic of opioid overdose, HCV, and HIV in Tennessee. Through opioid overdose surveillance data briefs, we aim to focus on creating meaningful targeted reports that incorporate mindful “data points” and visualizations for diverse audiences. keywords: data; opioid; overdose; tennessee cache: ojphi-9671.pdf plain text: ojphi-9671.txt item: #1286 of 1513 id: ojphi-9672 author: Swatscheno, Janet Marie title: ojphi-9672 date: 2019-05-01 words: 805 flesch: 42 summary: GIS mapping of the data provides an easy way for LHDs to view and share spatial trends with their local planning partners and identify community intervention strategies that can reduce drug overdose rates and improve outcomes for overdose survivors. The IOST GIS analyst has enhanced overdose alerts by utilizing daily emergency department data queries from the PHESS database based on chief complaint and diagnosis text. keywords: health; lhds; overdose cache: ojphi-9672.pdf plain text: ojphi-9672.txt item: #1287 of 1513 id: ojphi-9673 author: Swatscheno, Janet Marie title: ojphi-9673 date: 2019-05-01 words: 539 flesch: 42 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e308, 2019 ISDS 2019 Conference Abstracts Epidemiology as a Practical Resource to Examine the Hype & Deliver Reliable Messages Sophia Anyatonwu Epidemiology and Preparedness, Texas Department of State Health Services, Austin, Texas, United States Objective Epidemiologists will be better prepared to serve as a practical resource within their communities and spheres of influence by taking the time to examine data sources behind and implications of news stories and studies that are being widely circulated. The goal is that we would do the research necessary to examine data sources and implications of news stories and studies. keywords: news; sources cache: ojphi-9673.pdf plain text: ojphi-9673.txt item: #1288 of 1513 id: ojphi-9674 author: Swatscheno, Janet Marie title: ojphi-9674 date: 2019-05-14 words: 905 flesch: 36 summary: HHD’s Informatics team was responsible for data collection, training of staff and maintaining a cloud based repository of information on surveillance data and resources. There were challenges with supply of medications and synchronization of data collection by HHD and partner agencies. keywords: data; health; surveillance cache: ojphi-9674.pdf plain text: ojphi-9674.txt item: #1289 of 1513 id: ojphi-9675 author: Swatscheno, Janet Marie title: ojphi-9675 date: 2019-05-01 words: 756 flesch: 31 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e310, 2019 ISDS 2019 Conference Abstracts Keyword Surveillance and the Development of Evolving Reporting in Austin, Texas Ashley N. Hawes Austin Public Health, Austin, Texas, United States Objective Austin Public Health's Public Health Emergency Preparedness program utilizes a variety of tools and resources to create informative, event-specific, and engaging syndromic surveillance reports to share 1) internally within Austin Public Health; 2) with City of Austin and Travis County partners; 3) local health care coalition members; and 4) the public during events that affect the Austin, Texas metropolitan area. ISSN 1947-2579 * http://ojphi.org * 11(1): e310, 2019 ISDS 2019 Conference Abstracts Acknowledgement Austin Public Health, City of Austin, Travis County, Capital Area Public Health and Medical Preparedness Coalition Figure 1. keywords: austin; health; public cache: ojphi-9675.pdf plain text: ojphi-9675.txt item: #1290 of 1513 id: ojphi-9676 author: Swatscheno, Janet Marie title: ojphi-9676 date: 2019-05-14 words: 898 flesch: 37 summary: Syndromic surveillance provides a salient source of public health surveillance during extreme heat events; monitoring real-time ED visits can inform local public health authorities of health impacts, provide situation awareness to initiate and/or inform public health response, and help decision-makers allocate resources according to geographic (or demographic) vulnerability. ED visits for ENVIRO can be geolocated to determine areas experiencing greater health impacts. keywords: health; heat; public cache: ojphi-9676.pdf plain text: ojphi-9676.txt item: #1291 of 1513 id: ojphi-9677 author: Swatscheno, Janet Marie title: ojphi-9677 date: 2019-05-14 words: 1296 flesch: 41 summary: Ongoing relationships and inclusion of SyS information in exercises helps ensure that this information is incorporated and effectively utilized in emergency management. The importance of integrating surveillance data into emergency management and of effective and timely communication of this data to enhance situational awareness and share surveillance information with emergency managers has been repeatedly cited in both CDC Guidance and in after-action reports for real-world events. keywords: data; emergency; health; surveillance; sys cache: ojphi-9677.pdf plain text: ojphi-9677.txt item: #1292 of 1513 id: ojphi-9678 author: Swatscheno, Janet Marie title: ojphi-9678 date: 2019-05-01 words: 1126 flesch: 47 summary: A case study of story map journals for interactive health reporting Susan Rauch English and Media Studies, Massey University, W est End, Palmerston North, New Zealand Objective A case study on the visual-material components of story map journals as visual, new media interactive health reporting used in population health surveillance. Introduction How are interactive story map journals situated within the genre of interactive, health science reporting? keywords: health; map; new; pps; story cache: ojphi-9678.pdf plain text: ojphi-9678.txt item: #1293 of 1513 id: ojphi-9685 author: Swatscheno, Janet Marie title: ojphi-9685 date: 2019-04-22 words: 872 flesch: 37 summary: Monitoring the burden of chronic HCV infection requires robust methods to identify patients with infection. We developed a machine learning-based algorithm to identify patients with chronic HCV infection using health insurance claims alone and compared it a previously developed ICD-9 code-based algorithm. keywords: claims; hcv; infection cache: ojphi-9685.pdf plain text: ojphi-9685.txt item: #1294 of 1513 id: ojphi-9686 author: Swatscheno, Janet Marie title: ojphi-9686 date: 2019-05-01 words: 1288 flesch: 37 summary: Infectious disease information was collected from CDC, WHO, Biosurveillance Resource Directory, and Analytics for Investigation of Disease Outbreaks websites This educational app offers a situational health risk assessment for the user through accessing infectious disease information with a disease attribute filter, personalized risk level warning, and user’s GPS or selected location to help improve decision support and reduce situational risk. keywords: app; disease; information; risk; user cache: ojphi-9686.pdf plain text: ojphi-9686.txt item: #1295 of 1513 id: ojphi-9687 author: Swatscheno, Janet Marie title: ojphi-9687 date: 2019-05-14 words: 795 flesch: 47 summary: Conclusions I suggest that these results illustrates precarity (Bulter, 2009) by revealing systemic inequalities that protect some people, but leave others vulnerable through two counter narratives: opioid addiction is a public health issue, but crack addiction is a crime. More specifically, opioid addicts, who tend to be white, have been positioned as patients, whereas in the 1970s and 80s during the war on drugs, heroin and crack addicts, respectively, who tended to be people of color, were criminalized (Hart, 2017; Hutchinson, 2017). keywords: crack; epidemic; opioid cache: ojphi-9687.pdf plain text: ojphi-9687.txt item: #1296 of 1513 id: ojphi-9688 author: Swatscheno, Janet Marie title: ojphi-9688 date: 2019-05-14 words: 1212 flesch: 46 summary: Whereas the healthcare risk and reduction frame is willing to consider qualitative reports of opioid users who visit the exchange and seek further treatment, the rule of law and order frame is inclined to insist on quantitative data such as the rate of return for needles exchanged or reductions in drug use or the spread of hepatitis C and other diseases transmitted through the use of shared needles. In the case of harm reduction and needle exchange, two different frames compete. keywords: frame; lafayette; mayor; reduction cache: ojphi-9688.pdf plain text: ojphi-9688.txt item: #1297 of 1513 id: ojphi-9689 author: Swatscheno, Janet Marie title: ojphi-9689 date: 2019-05-06 words: 1116 flesch: 39 summary: The heightened number of vectors and positive test pools did not translate to the same escalation in human cases, which demonstrates the strength that Public Health collaboration between surrounding municipalities and community members has on reducing the potential impact of this seasonal epidemic. -Media outreach -Vector surveillance: OCCHD conducts local vector surveillance by trapping, lab species identification and testing for West Nile Virus. keywords: disease; occhd; response; surveillance cache: ojphi-9689.pdf plain text: ojphi-9689.txt item: #1298 of 1513 id: ojphi-9690 author: Swatscheno, Janet Marie title: ojphi-9690 date: 2019-05-06 words: 610 flesch: 15 summary: Introduction A Case of Effective Community-Based Collaborations For this case, the Visual Integration of Science through Art (VISTA) at Louisiana Tech University (Tech) partnered with the non- profit Lincoln Health Foundation to produce image-intensive communication materials for certain local populations. Presenting suggested materials/solutions to community partners • Discussing mechanisms the community partner could use to disseminate this information to the intended audience • keywords: health; louisiana cache: ojphi-9690.pdf plain text: ojphi-9690.txt item: #1299 of 1513 id: ojphi-9691 author: Swatscheno, Janet Marie title: ojphi-9691 date: 2019-05-06 words: 866 flesch: 45 summary: NC DETECT data were monitored daily for census (total ED visits), communicable disease syndromes, injury syndromes, and other occurrences of public health significance related to the event. Surveillance data were collected from the North Carolina Electronic Disease Surveillance System (NC EDSS), North Carolina’s and CDC’s National syndromic surveillance systems (NC DETECT and NSSP ESSENCE), Public Health Epidemiologists from Atrium Health and Mission Hospital, and reports from the on-site medical facility (MED-1) at the Tryon Equestrian Center. keywords: health; public; surveillance cache: ojphi-9691.pdf plain text: ojphi-9691.txt item: #1300 of 1513 id: ojphi-9692 author: Swatscheno, Janet Marie title: ojphi-9692 date: 2019-05-06 words: 1117 flesch: 39 summary: Result The UX observation and contextual-rhetorical analysis of EHR design supports a 4-year qualitative study consisting of hospital interviews at two acute-care facilities and an online, national survey of revenue integrity and clinical documentation improvement specialists. Clinicians, however, continue to struggle with EHR usability, including how to effectively capture patient data without error keywords: attention; design; ehr; health; information cache: ojphi-9692.pdf plain text: ojphi-9692.txt item: #1301 of 1513 id: ojphi-9693 author: Swatscheno, Janet Marie title: ojphi-9693 date: 2019-05-15 words: 723 flesch: 26 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e321, 2019 ISDS 2019 Conference Abstracts Zika Pregnancy Surveillance: Transforming Data into Educational and Clinical Tools Kara Polen, Titilope Oduyebo, Jazmyn Moore, Sascha Ellinton, Regina Simeone, Samantha Olson, Margaret A. Honein, Dana Meaney-Delman Centers for Disease Control and Prevention, United States Objective To describe how Zika virus (Zika) surveillance data informs and improves testing guidance, clinical evaluation and management of pregnant women and infants with possible Zika infection Introduction Little was known about the maternal and fetal/infant effects of Zika infection before the 2015 outbreak in the Americas, which made it challenging for public health practitioners and clinicians to care for pregnant women and infants exposed to Zika. In partnership with state, tribal, local, and territorial health departments, CDC disseminated information from this surveillance system, which served as the foundation for educational materials and clinical tools for healthcare providers. keywords: tools; zika cache: ojphi-9693.pdf plain text: ojphi-9693.txt item: #1302 of 1513 id: ojphi-9694 author: Swatscheno, Janet Marie title: ojphi-9694 date: 2019-04-19 words: 809 flesch: 32 summary: Adverse childhood experiences, allostasis, allostatic load, and age-related disease ISSN 1947-2579 * http://ojphi.org * 11(1): e270, 2019 ISDS 2019 Conference Abstracts A Semantic Platform for Surveillance of Adverse Childhood Experiences Jon Hael Simon Brenas, Eun Kyong Shin, Arash Shaban-Nejad UTHSC/ORNL, Memphis, Tennessee, United States Objective We introduce the Semantic Platform for Adverse Childhood Experiences (ACEs) Surveillance (SPACES). keywords: aces; childhood; experiences; health cache: ojphi-9694.pdf plain text: ojphi-9694.txt item: #1303 of 1513 id: ojphi-9695 author: Swatscheno, Janet Marie title: ojphi-9695 date: 2019-04-22 words: 1191 flesch: 41 summary: Articles were identified with search terms related to our STIs of interest (chlamydia, syphilis or gonorrhea), pelvic inflammatory disease (PID), administrative codes, and validation studies. Articles were included if they focused on any combination of the STIs of interest, or on PID, and were validation studies on diagnostic testing or administrative codes. keywords: articles; cases; codes; data; pid cache: ojphi-9695.pdf plain text: ojphi-9695.txt item: #1304 of 1513 id: ojphi-9696 author: Swatscheno, Janet Marie title: ojphi-9696 date: 2019-04-22 words: 1410 flesch: 43 summary: Introduction Climate warming, globalization, social and economic crises lead to the activation of natural foci of vector-borne infections, among which a special place belongs to Lyme disease (Ixodic tick borreliosis – ITB), the vectors of which are the Ixodes ticks. As the epidemic process of Lyme disease is characterized by vector transmission, heterogeneous tick population, variable pathogen infectivity, heterogeneous environment, and seasonal changes in tick activity, the use of classical statistical methods for predicting the dynamics of morbidity cannot show high accuracy. keywords: agent; disease; lyme; tick cache: ojphi-9696.pdf plain text: ojphi-9696.txt item: #1305 of 1513 id: ojphi-9697 author: Swatscheno, Janet Marie title: ojphi-9697 date: 2019-05-14 words: 1069 flesch: 30 summary: Facility medication codes were reconciled to NHSN antimicrobial identifiers via a multi-step, semi-automated process. The final mapping from facility medication codes to NHSN antimicrobial identifiers was manually reviewed and edited to remove duplicates and to add links by name that were not found automatically. keywords: antimicrobial; identifiers; nhsn cache: ojphi-9697.pdf plain text: ojphi-9697.txt item: #1306 of 1513 id: ojphi-9698 author: Swatscheno, Janet Marie title: ojphi-9698 date: 2019-04-22 words: 1125 flesch: 34 summary: To address these three problems ISDS, funded by a grant from the Defense Threat Reduction Agency, organized a consulta ncy meeting at the University of Utah designed to bring together (a) representatives from public health departments, (b) universi ty researchers focused on the development of computational methods for public health surveillance, (c) members of public health oriented non-governmental organisations, and (d) industry representatives, with the goal of developing a roadmap for the development of validated, standardised and portable resources (methods and data sets) for negation detection in clinical text used for public health surveillance. Participants were drawn from various different sectors, with representation from ISDS (2), the Defense Threat Reduction Agency (1), universities and research institutes (10), public health departments (5), the Department of Veterans Affairs (4), non-profit organisations (2), and technology firms (1). keywords: consultancy; detection; health; negation; public cache: ojphi-9698.pdf plain text: ojphi-9698.txt item: #1307 of 1513 id: ojphi-9699 author: Swatscheno, Janet Marie title: ojphi-9699 date: 2019-04-22 words: 1379 flesch: 43 summary: The objective was to design and develop a dashboard prototype (DP) that integrates HIV data from disparate sources to improve monitoring and reporting of HIV care continuum metrics in Indiana. The integration step solved certain challenges with ISDH data (e.g. linking data across systems while automating data cleaning was planned for later), increased data consistency and reduced redundancy, and resulted in a consolidated view of the data. keywords: data; design; hiv; isdh cache: ojphi-9699.pdf plain text: ojphi-9699.txt item: #1308 of 1513 id: ojphi-9701 author: Swatscheno, Janet Marie title: ojphi-9701 date: 2019-04-22 words: 1148 flesch: 35 summary: Conclusions Dashboards can provide a way to integrate different epidemiological data streams and statistical methods, offering experts a useful tool to assess the epidemiological situation. We then chose data visualisations that are common in the field of infectious-disease epidemiology, e.g. disease maps, epicurves and age pyramids, as well as visualisations that were suggested by experts, e.g. time-series graph with severity thresholds. keywords: conference; dashboard; data; isds cache: ojphi-9701.pdf plain text: ojphi-9701.txt item: #1309 of 1513 id: ojphi-9702 author: Swatscheno, Janet Marie title: ojphi-9702 date: 2019-04-22 words: 1237 flesch: 28 summary: Conclusions The addition of One Health data and analytics, and the integration of health data with unconventional data sources and modern approaches to data science and complex workflows, resulted in enhanced situational awareness and decision -making capabilities for users. We applied the following principles to the development of data science tools: 1) mathematics should be fully automated and operate 'under the hood' without need for user intervention; 2) 'At-a-Glance' visualizations should summarize Information, draw attention to key aspects and permit drill down into underlying data; 3) data science analytics and tools need to be valid ated with real-world data and by disease surveillance experts and 4) secure collaboration capabilities are essential to biosurveillance activities. keywords: analytics; biosurveillance; data; health cache: ojphi-9702.pdf plain text: ojphi-9702.txt item: #1310 of 1513 id: ojphi-9705 author: Swatscheno, Janet Marie title: ojphi-9705 date: 2019-04-22 words: 499 flesch: 9 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e278, 2019 ISDS 2019 Conference Abstracts Electronic Processing of Antimicrobial Susceptibilities to Enhance Communicable Disease Surveillance Emily Roberts Informatics Program, Utah Department of Health, Salt Lake City, Utah, United States Objective Illustrate how the Utah Department of Health automatically processes antimicrobial susceptibility results that are received electronically Introduction The emerging threat of antimicrobial resistant organisms is a pressing public health concern. In 2018, the Utah Department of Health mandated the reporting of antimicrobial susceptibility panels performed on selected organisms. keywords: results; susceptibility cache: ojphi-9705.pdf plain text: ojphi-9705.txt item: #1311 of 1513 id: ojphi-9706 author: Swatscheno, Janet Marie title: ojphi-9706 date: 2019-04-22 words: 933 flesch: 29 summary: To evaluate the impact of the intervention on the outcome measures, we employed a difference-in-difference approach in which the change in reporting rates among intervention clinics before and after implementation was compared to the change in reporting rates among non-intervention clinics during the same timeframes. Reports received from intervention clinics outside of the clinics’ intervention period were classified as non-intervention reports. keywords: clinics; health; intervention; public cache: ojphi-9706.pdf plain text: ojphi-9706.txt item: #1312 of 1513 id: ojphi-9707 author: Swatscheno, Janet Marie title: ojphi-9707 date: 2019-04-22 words: 906 flesch: 44 summary: A survey conducted by LANL of notifiable disease data reporting in over fifty countries identified only a few websites that report data in a machine-readable format. Introduction Government reporting of notifiable disease data is common and widespread, though most countries do not report in a machine - readable format. keywords: data; disease; pdf cache: ojphi-9707.pdf plain text: ojphi-9707.txt item: #1313 of 1513 id: ojphi-9708 author: Swatscheno, Janet Marie title: ojphi-9708 date: 2019-04-24 words: 647 flesch: 42 summary: While specifics can change before features are deployed, the following list of new features have exceptional capabilities. And other new features… Results The presentation will describe the current roadmap, demonstrate features that are mature enough in the software development process, share mock-ups for features still in the early stages of development and provide use cases for each of the new features discussed. keywords: essence; features cache: ojphi-9708.pdf plain text: ojphi-9708.txt item: #1314 of 1513 id: ojphi-9709 author: Swatscheno, Janet Marie title: ojphi-9709 date: 2019-04-24 words: 565 flesch: 43 summary: The eICR reports received from the provider were compared to case report data in the communicable disease surveillance system, I-NEDSS. Further, the advantages of case reporting will be dependent on automated processes within the communicable disease system to merge data and apply business rules to automatically process completed case reports for high volume diseases, such as STIs. keywords: eicr; health cache: ojphi-9709.pdf plain text: ojphi-9709.txt item: #1315 of 1513 id: ojphi-9710 author: Swatscheno, Janet Marie title: ojphi-9710 date: 2019-05-23 words: 1084 flesch: 35 summary: Daily and quarterly overdose counts by surveillance method were compared and visualized by facility. The Division of Patient Safety and Quality at IDPH has thus chosen to evaluate the completeness of overdose reporting and compliance with the opioid overdose mandate that have resulted from use of the current syndromic surveillance system. keywords: facilities; overdose; surveillance cache: ojphi-9710.pdf plain text: ojphi-9710.txt item: #1316 of 1513 id: ojphi-9711 author: Swatscheno, Janet Marie title: ojphi-9711 date: 2019-04-24 words: 747 flesch: 32 summary: To address ongoing questions and confusion that persisted throughout the community, the DQC held another meeting on January 12, 2018 to bring sites, the NSSP, and EHR vendor representatives together to discuss how to correct data anomalies. This prompted site administrators nationwide to evaluate data for facilities using the vendor product, and review communications sent by vendor representatives to some of the affected sites. keywords: data; nssp; vendor cache: ojphi-9711.pdf plain text: ojphi-9711.txt item: #1317 of 1513 id: ojphi-9712 author: Swatscheno, Janet Marie title: ojphi-9712 date: 2019-04-24 words: 1004 flesch: 17 summary: Methods As part of the effort to meet the need for the application of interoperability standards to electronic messaging for data exchange between HIT modules that submit and collect syndromic surveillance data for public health, the National Institute of Standards and Technology (NIST), in collaboration with the CDC and the International Society for Disease Surveillance (IS DS), developed and maintains a set of validation tools. The recognition of the need for well-defined standards, as well as testing using real-world scenarios and clinical data, led to the development of IGAMT and TCAMT for automating the production of these artifacts; and with these tools came the ability to automate generation of testing resources, such as syndromic surveillance validation tools that are customized to national-level specifications as well as to state/local-level specifications for use in on-boarding procedures. keywords: health; public; surveillance cache: ojphi-9712.pdf plain text: ojphi-9712.txt item: #1318 of 1513 id: ojphi-9713 author: Swatscheno, Janet Marie title: ojphi-9713 date: 2019-04-24 words: 667 flesch: 37 summary: As varicella cases become less common, varicella case investigation data become increasingly important. Varicella case data from the project period were compared with a 10-year baseline to evaluate the 11 targeted variables for change in percent completion. keywords: cases; variables; varicella cache: ojphi-9713.pdf plain text: ojphi-9713.txt item: #1319 of 1513 id: ojphi-9714 author: Swatscheno, Janet Marie title: ojphi-9714 date: 2019-04-24 words: 1095 flesch: 46 summary: By combining death data to EMS ambulance runs, the goal was to determine characteristics of the emergency response— particularly for opioid overdose events—that may connect to increased mortality. Methods In the State of Wisconsin, data systems supporting the surveillance of EMS ambulance runs and coroner/medical examiner death records are both maintained under the Department of Health Services, enhancing the ability of public health researchers to connect these records using matched identifiers. keywords: ambulance; death; opioid cache: ojphi-9714.pdf plain text: ojphi-9714.txt item: #1320 of 1513 id: ojphi-9715 author: Swatscheno, Janet Marie title: ojphi-9715 date: 2019-04-24 words: 1375 flesch: 50 summary: Now that quality data is coming into ESSENCE, AlaSyS staff had to address the issue of latency to improve representativeness. Developing a check and balance system for data validation to find root cause for proper evaluation and resolve will support improvement to data quality. keywords: alasys; data; facilities; quality cache: ojphi-9715.pdf plain text: ojphi-9715.txt item: #1321 of 1513 id: ojphi-9716 author: Swatscheno, Janet Marie title: ojphi-9716 date: 2019-04-24 words: 939 flesch: 29 summary: The relevance of LOINC terminology to PH emergency preparedness and response was assessed through evaluating existing LOINC terminology against terminology specified by the World Health Organization PH Emergency Operation Centers (EOC). LOINC terminology was also evaluated against the CDC PH EOC Minimum Data Set (MDS) keywords: emergency; loinc; terminology cache: ojphi-9716.pdf plain text: ojphi-9716.txt item: #1322 of 1513 id: ojphi-9718 author: Swatscheno, Janet Marie title: ojphi-9718 date: 2019-04-24 words: 641 flesch: 33 summary: Visualization results can be exported and embedded into other websites with data interpretation statements, benchmarks, and other visual cues that allow a broad audience to be able to access to environmental public health surveillance data. The data are aggregated into standardized stratifications, summarize d, and used to calculate environmental health measures. keywords: data; health cache: ojphi-9718.pdf plain text: ojphi-9718.txt item: #1323 of 1513 id: ojphi-9719 author: Swatscheno, Janet Marie title: ojphi-9719 date: 2019-04-24 words: 773 flesch: 31 summary: RCKMS is currently a centralized CDS service that can be accessed by EHRs until they all have local CDS capabilities; and a knowledge authoring environment that allows ongoing distributed rule authoring. CDS for case reporting confronts two challenges: a) While EHRs are moving toward local CDS capabilities, it will take several years for EHR systems to consistently support this capability; and b) public health-related CDS knowledge, such as Zika infection detection and reporting rules, may differ from jurisdiction to jurisdiction. keywords: cds; reporting cache: ojphi-9719.pdf plain text: ojphi-9719.txt item: #1324 of 1513 id: ojphi-9720 author: Swatscheno, Janet Marie title: ojphi-9720 date: 2019-04-26 words: 1383 flesch: 44 summary: An increasing number of data sources of varying clinical specificity and timeliness are available to the staff. Data sources included clinical encounter records including free-text chief complaints, filled prescription records, and laboratory test orders and results. keywords: bns; data; fusion; health; use cache: ojphi-9720.pdf plain text: ojphi-9720.txt item: #1325 of 1513 id: ojphi-9721 author: Swatscheno, Janet Marie title: ojphi-9721 date: 2019-04-29 words: 1398 flesch: 44 summary: While health plans, providers and pharmacists struggle to engage their networks, by encouraging patients to be proactive in their healthcare, public health immunization assets may be the tipping point to accelerate this movement. Recently, new information systems have played a key role in improving public health’s early warning and case management for disease outbreaks. keywords: health; information; myir; public cache: ojphi-9721.pdf plain text: ojphi-9721.txt item: #1326 of 1513 id: ojphi-9722 author: Swatscheno, Janet Marie title: ojphi-9722 date: 2019-04-29 words: 1279 flesch: 36 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e294, 2019 ISDS 2019 Conference Abstracts Towards Obesity Surveillance Using Multifaceted Online Social Relational Factors in Reddit Albert Park, Yaorong Ge Software and Information Systems, University of North Carolina at Charlotte, Charlotte, North Carolina, United States Objective We aim to better understand online social interactions and environments of individuals interested in weight management from a social media platform called Reddit. With the increasing use of the internet, online social networks, interactions, and environments (i.e., online social relational factors) deserve more attention. keywords: health; members; obesity; online; reddit cache: ojphi-9722.pdf plain text: ojphi-9722.txt item: #1327 of 1513 id: ojphi-9723 author: Swatscheno, Janet Marie title: ojphi-9723 date: 2019-04-29 words: 1187 flesch: 50 summary: There is no apparent relationship between HIV rates and injection drug rates, likely because HIV has a 0.3% infection risk rate from a single infected needlestick versus the 1.8% risk of acquiring HCV and 22-31% risk of acquiring HBV [9]. To utilize New Jersey’s syndromic surveillance data in the study and comparison of trends in injection opioid use and infection with selected bloodborne pathogens (BBPs) over the years 2013-2017. keywords: hiv; injection; opioid; use cache: ojphi-9723.pdf plain text: ojphi-9723.txt item: #1328 of 1513 id: ojphi-9724 author: Swatscheno, Janet Marie title: ojphi-9724 date: 2019-04-29 words: 1220 flesch: 46 summary: Pascal Vilain1, Luce Menudier2, Laurent Filleul2 1 Regional office of French National Public Health Agency, Saint-Denis, Réunion, 2 French National Public Health Agency, Saint-Maurice, France Objective To investigate whether Twitter data can be used as a proxy for the surveillance of the seasonal influenza epidemic in France and at the regional level. In our knowledge, no research has been implemented in France to know whether Twitter data can be a complementary data source to monitor seasonal influenza epidemic. keywords: france; health; influenza; tweets cache: ojphi-9724.pdf plain text: ojphi-9724.txt item: #1329 of 1513 id: ojphi-9725 author: Swatscheno, Janet Marie title: ojphi-9725 date: 2019-04-29 words: 1380 flesch: 40 summary: Similarly, we used #Food, #FoodPorn, and #Foodie to collect food consumption related tweets. We used hashtags from a previous study [10], including #weightloss, #diet, #fitness, and #health for collecting weight loss related tweets. keywords: health; online; sentiment; social; tweets cache: ojphi-9725.pdf plain text: ojphi-9725.txt item: #1330 of 1513 id: ojphi-9726 author: Swatscheno, Janet Marie title: ojphi-9726 date: 2019-05-14 words: 1009 flesch: 28 summary: Methods ISDS coordinated a multi-stakeholder working group to revisit the consolidated Message Guide, v.2.1 and collect structured comments via an online portal, which facilitated the documentation, tracking, and prioritization of comments for developing consensus and reconciliation and resolution when there were errors, conflicts, or differing perspectives for select specifications. The online portal was used to communicate with members of the Message Guide Workgroup to provide feedback directly to one another through a ‘conversation tab’. keywords: guide; hl7; isds; message cache: ojphi-9726.pdf plain text: ojphi-9726.txt item: #1331 of 1513 id: ojphi-9727 author: Swatscheno, Janet Marie title: ojphi-9727 date: 2019-04-29 words: 584 flesch: 29 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e299, 2019 ISDS 2019 Conference Abstracts Use of ESSENCE APIs to Support Flexible Analysis and Reporting Aaron Kite-Powell1, Wayne Loschen2 1 NSSP, CDC, Atlanta, Georgia, United States, 2 Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, United States Objective To describe and provide examples of the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) application programming interface (API) as a part of disease surveillance workflows. Programmatic access to processed ESSENCE data via the APIs also supports easily sharable exploratory analysis and visualization that can serve as a sandbox for testing new methods for future inclusion within ESSENCE. keywords: api; data; essence cache: ojphi-9727.pdf plain text: ojphi-9727.txt item: #1332 of 1513 id: ojphi-9728 author: Swatscheno, Janet Marie title: ojphi-9728 date: 2019-05-14 words: 908 flesch: 40 summary: Other visualizations that can be used are network graphs, which show the connections between different chief complaints terms and also between discharge diagnosis codes and chief complaint terms. ISSN 1947-2579 * http://ojphi.org * 11(1): e300, 2019 ISDS 2019 Conference Abstracts Use of N-grams and Term Relationship Graphs in the Syndrome Definition Development Process Nimi Idaikkadar, Nelson Adekoya, Aaron Kite-Powell, Achintya N Dey Centers for Disease Control Objective To describe the use of uni-grams, bi-grams, and tri-grams relationships in the development of syndromic categories. keywords: grams; terms; use cache: ojphi-9728.pdf plain text: ojphi-9728.txt item: #1333 of 1513 id: ojphi-9729 author: Swatscheno, Janet Marie title: ojphi-9729 date: 2019-04-29 words: 1455 flesch: 43 summary: This presentation will highlight a pipeline for virus phylogeography designed for epidemiologists who are not experts in bioinformatics but wish to leverage virus sequence data as part of routine surveillance. A bioinformatics pipeline for virus phylogeography and surveillance Matthew Scotch, Arjun Magge, Matteo Vaiente Arizona State University, Tempe, Arizona, United States Objective We will describe the ZooPhy system for virus phylogeography and public health surveillance keywords: health; isds; phylogeography; pubmed; use; virus cache: ojphi-9729.pdf plain text: ojphi-9729.txt item: #1334 of 1513 id: ojphi-9730 author: Swatscheno, Janet Marie title: ojphi-9730 date: 2019-05-21 words: 1129 flesch: 45 summary: Automatic classification of medical causes from free-text death certificates for reactive mortality surveillance in France Conclusions The use of free-text causes of death for reactive mortality surveillance requires the development of a strategy for the analysis of these data. keywords: causes; death; msgs cache: ojphi-9730.pdf plain text: ojphi-9730.txt item: #1335 of 1513 id: ojphi-9733 author: jswatsc2 title: Microsoft Word - ojphi-11-e7 date: 2019-09-16 words: 5557 flesch: 41 summary: This equates to roughly 1.5 hours annually to transmit STD clinical data to UDOH, a time savings of approximately 161 hours per year across the eight PPAU clinics. Thus, recording the necessary case information required phone calls and faxes between Utah providers and LHD investigators for obtaining clinical data. keywords: case; codes; data; ecr; ehr; health; reporting; surveillance; udoh; utah cache: ojphi-9733.pdf plain text: ojphi-9733.txt item: #1336 of 1513 id: ojphi-9735 author: Swatscheno, Janet Marie title: ojphi-9735 date: 2019-04-05 words: 537 flesch: 42 summary: In the study the samples were screened for the presence of B. anthracis via two concurrent approaches to compare classical methods and a novel PCR method. Methods Anthrax suspected samples were tested by two methods - classical method and new method. keywords: pcr; samples cache: ojphi-9735.pdf plain text: ojphi-9735.txt item: #1337 of 1513 id: ojphi-9736 author: Swatscheno, Janet Marie title: ojphi-9736 date: 2019-04-08 words: 782 flesch: 34 summary: Monthly team meetings facilitated the final decisions on the data elements by leveraging lessons learned through onboarding other data sources, findings from the analysis of the one-month extract, stakeholder comments, and advice from other states known to be leveraging EMS data for public health surveillance. Additionally, syndromic surveillance data are utilized to support daily reportable disease detection and other surveillance efforts. keywords: data; essence cache: ojphi-9736.pdf plain text: ojphi-9736.txt item: #1338 of 1513 id: ojphi-9737 author: Swatscheno, Janet Marie title: ojphi-9737 date: 2019-05-14 words: 493 flesch: 51 summary: ELISA was used to investigate the presence of specific antibodies against Schmallenberg virus in the blood samples using IDEXX Schmallenberg Ab Test Kit. Cross-sectional study of Schmallenberg virus seroprevalence in wild ruminants in Poland at the end of the vector season of 2013. keywords: cattle; samples; schmallenberg cache: ojphi-9737.pdf plain text: ojphi-9737.txt item: #1339 of 1513 id: ojphi-9738 author: Swatscheno, Janet Marie title: ojphi-9738 date: 2019-04-08 words: 414 flesch: 43 summary: One of the main goal of the project was shedding study in domestic animals – isolation of C. burnetii from suspected seropositive animal blood, milk samples. Results As a result of the study, one culture was bacteriologically isolated from seropositive cattle milk sample (the sample was tak en on the third week of the study in Beshtasheni farm, Tslka, Kvemo Kartli) and confirmed by Molecular biology (PCR). keywords: georgia; study cache: ojphi-9738.pdf plain text: ojphi-9738.txt item: #1340 of 1513 id: ojphi-9739 author: Swatscheno, Janet Marie title: ojphi-9739 date: 2019-05-21 words: 1443 flesch: 41 summary: 477 (21%) tests we positive, with 399 (84%) cases of influenza A (73 tests were not subtyped) and 78 (16%) cases of influenza B. Figure 1 shows the time series of weekly counts of influenza tests and percent positives with superimposed information on school holiday occurrences. Weekly number tests and % of influenza positives tests and percent positives with superimposed school holiday occurrences in Milwaukee, WI (2004-2009) Figure 2. keywords: holidays; influenza; school; tests; weeks cache: ojphi-9739.pdf plain text: ojphi-9739.txt item: #1341 of 1513 id: ojphi-9740 author: Swatscheno, Janet Marie title: ojphi-9740 date: 2019-04-09 words: 1372 flesch: 33 summary: Using Pearson’s Chi-Square tests, we compared demographic and other characteristics of ADDM Network CP case children who also met method 3 case definition (n = 1134) and children who met the ADDM Network CP definition but not method 3 case definition (n = 160). ADDM Network CP case children who did not meet method 3 criteria were significantly less likely to require a wheelchair for mobility than children who met method 3 criteria (4.4% versus 27.4%, p < .05). keywords: children; conditions; method cache: ojphi-9740.pdf plain text: ojphi-9740.txt item: #1342 of 1513 id: ojphi-9741 author: Swatscheno, Janet Marie title: ojphi-9741 date: 2019-04-09 words: 510 flesch: 40 summary: Overall, our simulation framework suggested that SatScan would usually be the easiest, most user-friendly and best performing space-time methods for non-communicable disease surveillance. Introduction Health surveillance is well established for infectious diseases, but less so for non-communicable diseases. keywords: clusters; methods cache: ojphi-9741.pdf plain text: ojphi-9741.txt item: #1343 of 1513 id: ojphi-9742 author: Swatscheno, Janet Marie title: ojphi-9742 date: 2019-05-14 words: 998 flesch: 38 summary: Conclusions CDC funded partners share overdose morbidity data with CDC using either ED SyS data, ED discharge data, or both. Validity is dependent on the data source as well as the case definition or syndrome definition used; with this in mind, SyS data overdose indicators are designed to have high sensitivity, with less attention to specificity. keywords: data; discharge; overdose cache: ojphi-9742.pdf plain text: ojphi-9742.txt item: #1344 of 1513 id: ojphi-9743 author: Swatscheno, Janet Marie title: ojphi-9743 date: 2019-04-10 words: 677 flesch: 41 summary: Results Reductions in the number of tests were obtained for all states when compared to individual specimen testing. Individual risk information can be employed by these algorithms to increase testing efficiency. keywords: pooling; tests cache: ojphi-9743.pdf plain text: ojphi-9743.txt item: #1345 of 1513 id: ojphi-9744 author: Swatscheno, Janet Marie title: ojphi-9744 date: 2019-04-10 words: 612 flesch: 30 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e236, 2019 ISDS 2019 Conference Abstracts Developing Phenotypes from Electronic Health Records for Chronic Disease Surveillance Sarah Conderino1, Justin Feldman1, Tom Carton2, Lorna Thorpe1 1 Population Health, New York University Langone Medical Center, New York, New York, United States, 2 Louisiana Public Health Institute, New Orleans, Louisiana, United States Objective To utilize clinical data in Electronic Health Records (EHRs) to develop chronic disease phenotypes appropriate for conducting population health surveillance. Methods Retrospective EHR data were obtained for patients seen at New York University Langone Health in 2017 (n=1,397,446). keywords: agreement; diabetes; health cache: ojphi-9744.pdf plain text: ojphi-9744.txt item: #1346 of 1513 id: ojphi-9745 author: Swatscheno, Janet Marie title: ojphi-9745 date: 2019-04-10 words: 652 flesch: 36 summary: We are developing a spell-checker tool for chief complaint text using the R and Python programming languages. The spell checker performs 4 steps on chief complaint data: identification of misspellings, generation of a substitute candidate word list, word sense disambiguation to identify replacement word, and replacement of the misspelled word, based on methods found in the literature [1]. keywords: checker; spell; word cache: ojphi-9745.pdf plain text: ojphi-9745.txt item: #1347 of 1513 id: ojphi-9746 author: Swatscheno, Janet Marie title: ojphi-9746 date: 2019-05-14 words: 1347 flesch: 45 summary: In addition, opioid overdoses are a non-reportable condition. Therefore, given the potentially brief timeline of addiction or use to negative outcome, the current project set to create a near real- time surveillance and treatment/outreach system for opioid overdoses using an already existing EMS data collection framework. keywords: data; health; opioid; overdoses cache: ojphi-9746.pdf plain text: ojphi-9746.txt item: #1348 of 1513 id: ojphi-9747 author: Swatscheno, Janet Marie title: ojphi-9747 date: 2019-04-15 words: 1023 flesch: 47 summary: Floods of all magnitude are known to have potential health impacts on population [1], both at short, medium and long term both on physical (injuries, diarrhoeal disease, Carbon Monoxyde poisoning, vector-borne disease) and mental health. France Objective The presentation describes the results of the daily monitoring of health indicators conducted by the French public health age ncy during the major floods and the cold wave that occurred in January 2018 in France, in order to early identify potential impact of those climatic events on the population. keywords: attendances; health; impact cache: ojphi-9747.pdf plain text: ojphi-9747.txt item: #1349 of 1513 id: ojphi-9748 author: Swatscheno, Janet Marie title: ojphi-9748 date: 2019-04-10 words: 924 flesch: 36 summary: Influenza test results were identified first by se lecting messages with ‘influenza’ in an OBX segment and then further refining based on the test code and description. Seven facilities sent a total of 58,182 messages containing influenza test results. keywords: influenza; procedure; results cache: ojphi-9748.pdf plain text: ojphi-9748.txt item: #1350 of 1513 id: ojphi-9749 author: Swatscheno, Janet Marie title: ojphi-9749 date: 2019-05-14 words: 1205 flesch: 52 summary: Data on IID cases in the 2008-2010 period were provided by Beijing Center for Disease Prevention and Control, China, including basic social-demographic information and clinical diagnosis (mainly including upper respiratory tract infection, indigestion, gastrointestinal disorders, bacillary dysentery, amebic dysentery, typhoid fever, paratyphoid fever and other infectious diarrhea). Age-gender incidence of IID (1/100,000) was defined as the number of IID cases in each age-gender group divided by the population size of that age-gender group. keywords: age; iid; space; time cache: ojphi-9749.pdf plain text: ojphi-9749.txt item: #1351 of 1513 id: ojphi-9750 author: Swatscheno, Janet Marie title: ojphi-9750 date: 2019-04-12 words: 841 flesch: 36 summary: To overcome the top barrier to use of reproducible research practices, lack of training, we developed brief training modules on formatting, documenting, and sharing statistical code and data. ISSN 1947-2579 * http://ojphi.org * 11(1): e242, 2019 ISDS 2019 Conference Abstracts Examining and improving reproducible research practices in public health Kimberly J. Johnson, Bobbi J. Carothers, Xiaoyan Wang, Todd Combs, Douglas A. Luke, Jenine K. Harris Public Health, W ashington University in St. Louis, St. Louis, Missouri, United States Objective Our presentation will explain current use, and barriers to use, of reproducible research practices in public health. keywords: code; practices; research cache: ojphi-9750.pdf plain text: ojphi-9750.txt item: #1352 of 1513 id: ojphi-9751 author: Swatscheno, Janet Marie title: ojphi-9751 date: 2019-04-10 words: 1145 flesch: 45 summary: Data disseminators are encouraged to review current confidentiality and suppression rules to determine whether they might be modified to provide more granular data users while still protecting the privacy of citizens. They will also be able to use the lessons learned and user feedback descri bed in the session to facilitate discussions surrounding the application of suppression to their specific data systems. keywords: data; health; mophims; suppression cache: ojphi-9751.pdf plain text: ojphi-9751.txt item: #1353 of 1513 id: ojphi-9752 author: Swatscheno, Janet Marie title: ojphi-9752 date: 2019-05-14 words: 1017 flesch: 43 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e244, 2019 ISDS 2019 Conference Abstracts Conclusions Hospital surveillance data are the most useful for developing forecast models for hospital pneumonia admissions. Singapore Objective Using the information that we have available, our primary objective is to explore if there was any cross-correlation between pneumonia admissions and hospital influenza positivity. keywords: admissions; hospital; pneumonia cache: ojphi-9752.pdf plain text: ojphi-9752.txt item: #1354 of 1513 id: ojphi-9753 author: Swatscheno, Janet Marie title: ojphi-9753 date: 2019-05-14 words: 901 flesch: 42 summary: To develop a set of clinical indicators of opioid overdose using Emergency Medical Services (EMS) records that included data from Computer Aided Dispatch (CAD), ProQA systems, Electronic Patient Care Reporting (ePCR) and Hospital Medical Records. The opioid overdose national crisis is rapidly evolving due to changes in drug availability and the presence of adulterated fentanyl in some areas leading to a critical need for innovative methods to identify opioid overdoses for both surveillance and intervention purposes. keywords: medical; overdose; set cache: ojphi-9753.pdf plain text: ojphi-9753.txt item: #1355 of 1513 id: ojphi-9754 author: Swatscheno, Janet Marie title: ojphi-9754 date: 2019-04-12 words: 1358 flesch: 41 summary: We have developed two new spatial scan methods (unconditional and conditional spatial logistic models) which correctly accoun t for the multiple, varying number of spatial locations per individual. We apply our method to the cities with highest number of case individuals. keywords: data; dengue; individuals; risk cache: ojphi-9754.pdf plain text: ojphi-9754.txt item: #1356 of 1513 id: ojphi-9756 author: Swatscheno, Janet Marie title: ojphi-9756 date: 2019-04-12 words: 1312 flesch: 47 summary: Then syndromic groups are built based on these ICD10 codes for ensuring syndromic surveillance in routine. Syndromic groups including initially more than 100 codes have been the most concerned by a limitation of the number of ICD10 codes. keywords: codes; groups; thesaurus cache: ojphi-9756.pdf plain text: ojphi-9756.txt item: #1357 of 1513 id: ojphi-9757 author: Swatscheno, Janet Marie title: ojphi-9757 date: 2019-04-12 words: 917 flesch: 45 summary: The mean weekly percentage of positive influenza laboratory results among all ILI encounters is 0.82%, with a range from 0.01% to 5.73% ( Figure 2). To describe influenza laboratory testing and results in the Military Health System and how influenza laboratory results may b e used in DoD Electronic Surveillance System for Early Notification of Community-based Epidemics (ESSENCE) Introduction Timely influenza data can help public health decision-makers identify influenza outbreaks and respond with preventative measures. keywords: ili; influenza; laboratory cache: ojphi-9757.pdf plain text: ojphi-9757.txt item: #1358 of 1513 id: ojphi-9758 author: Swatscheno, Janet Marie title: ojphi-9758 date: 2019-04-15 words: 1242 flesch: 40 summary: Mobile health device data linked to ILI-specific survey responses taken during the 2017/18 flu season demonstrate clear aggregate patterns across several dimensions including sleep, steps, and heart rate. ISSN 1947-2579 * http://ojphi.org * 11(1): e249, 2019 ISDS 2019 Conference Abstracts Figure 2: Mean standardized active minutes around reported ILI symptom onset date Figure 3: Mean standardized minutes awake around reported ILI symptom onset date http://ojphi.org/ ISDS Annual Conference Proceedings 2019. keywords: data; health; ili; surveillance cache: ojphi-9758.pdf plain text: ojphi-9758.txt item: #1359 of 1513 id: ojphi-9759 author: Swatscheno, Janet Marie title: ojphi-9759 date: 2019-04-15 words: 594 flesch: 26 summary: Methods We propose to develop and test a new phylodynamic method, HIV Dynamic Identification of Transmission Epicenters (HIV - DYNAMITE), that will support existing HIV surveillance efforts. Although key HIV transmission risk groups have been identified in Florida through classical epidemiology surveillance methods, there remains a critical need for detection and tracking of expanding transmissi on clusters in near-real time. keywords: florida; hiv cache: ojphi-9759.pdf plain text: ojphi-9759.txt item: #1360 of 1513 id: ojphi-9760 author: Swatscheno, Janet Marie title: ojphi-9760 date: 2019-05-14 words: 1145 flesch: 40 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e251, 2019 ISDS 2019 Conference Abstracts LABORATORY BASED OF SURVEILLANCE FOR LEPTOSPIROSIS IN LVIV OBLAST, UKRAINE Liliia Vasiunets, Oksana Semenyshyn, Oksana Velychko, Lesja Hatsiy, Iryna Kulish EDP laboratory, State Institution Lviv Oblast Laboratory Center of the Ministry of Health of Ukraine, Lviv, Lviv, Ukraine Objective To estimate effectiveness of PCR method for epidemiology surveillance for leptospirosis in Lviv Oblast and compare it with microscopic agglutination test (MAT). Conclusions In Lviv Oblast, Ukraine, the potential of laboratory diagnostics of leptospirosis has increased due to introduction of PCR method in diagnostic algorithm. keywords: leptospirosis; mat; pcr; samples cache: ojphi-9760.pdf plain text: ojphi-9760.txt item: #1361 of 1513 id: ojphi-9761 author: Swatscheno, Janet Marie title: ojphi-9761 date: 2019-05-01 words: 731 flesch: 43 summary: HCV antibody testing rates were calculated and defined as: the number of unique individuals who received their first HCV antibody test during a particular month per 100 uni que individuals who had any laboratory test performed by the commercial laboratory during the same month, presented as an annual average (mean) testing rate. Results In 2011, prior to the CDC recommendation change, rates of HCV antibody testing relative to overall testing with each cohort were higher for the non-baby boomer cohort served by both Quest and LabCorp. keywords: baby; testing cache: ojphi-9761.pdf plain text: ojphi-9761.txt item: #1362 of 1513 id: ojphi-9762 author: Swatscheno, Janet Marie title: ojphi-9762 date: 2019-04-15 words: 1378 flesch: 33 summary: Finally, stratifying by a likely effect measure modifier (% of MSM screened) prior to estimating the measure from the random effects model captured key differences in jurisdictions while still providing a limited number of summary estimates. Trends in rectal gonorrhea among MSM tested in STD clinics participating in the STD Surveillance Network (SSuN), 2017 Jurisdictio n # of patient s % of patients identified as MSM % of MSM patients screened for rectal gonorrhea % MSM testing positive for rectal gonorrhea Fully stratifie d Aggregate d across jurisdiction s Mean of jurisdictio n estimates Random effects model Stratified random effects model A 6,262 14.3% 44.3% 14.4% n/a n/a n/a 19.7% (95% CI: 14.6, 24.8) B 8,160 8.8% 46.4% 24.1% n/a n/a n/a C 13,519 15.7% 58.5% 20.9% n/a n/a n/a D 6,017 44.6% 65.6% 18.2% n/a n/a n/a 14.3% (95% CI: E 15,083 16.8% 65.8% 14.7% n/a n/a n/a F 9,188 48.4% 67.8% 15.8% n/a n/a n/a http://ojphi.org/ ISDS Annual Conference Proceedings 2019. keywords: jurisdictions; msm cache: ojphi-9762.pdf plain text: ojphi-9762.txt item: #1363 of 1513 id: ojphi-9763 author: Swatscheno, Janet Marie title: ojphi-9763 date: 2019-04-17 words: 456 flesch: 36 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e254, 2019 ISDS 2019 Conference Abstracts Monitoring of Anthrax Prevalence in Georgia 2009-2017 Lela Kerdzevadze Administrative, Laboratory of the Ministry of Agriculture, Tbilisi, Georgia Objective One of the main objectives of these studies was to improve Anthrax laboratory diagnostics in order to properly monitor the prevalence and distribution of the disease in Georgia. One of the main objectives of these studies was to improve Anthrax laboratory diagnostics in order to properly monitor the prevalence and distribution of the disease in Georgia. keywords: georgia; laboratory cache: ojphi-9763.pdf plain text: ojphi-9763.txt item: #1364 of 1513 id: ojphi-9764 author: Swatscheno, Janet Marie title: ojphi-9764 date: 2019-04-17 words: 1404 flesch: 47 summary: Through a blinded evaluation on retrospective free-text ED chief complaint data from NYC DOHMH, we demonstrate that MUSES has great potential to serve as a “safety net” for public health surveillance, facilitating a rapid, targeted, and effective response to emerging novel disease outbreaks and other events of relevance to public health that do not fit existing syndromes and might otherwise go undetected. This ability to report newly emerging case clusters of high relevance to public health, without overwhelming the user with a large number of false positives, suggest hi gh potential utility of the approach for day-to-day operational use as a “safety net” for public health surveillance, complementing existing syndromic surveillance approaches. keywords: clusters; health; new; public; surveillance cache: ojphi-9764.pdf plain text: ojphi-9764.txt item: #1365 of 1513 id: ojphi-9765 author: Swatscheno, Janet Marie title: ojphi-9765 date: 2019-04-17 words: 1364 flesch: 52 summary: However, less than 66% of NC EMS records with naloxone administration in 2017 were successfully linked to an ED visit record. This study explored methods to improve EMS and ED data linkage, using a multistage process to maximize the number of correctly linked records while avoiding false linkages. keywords: data; ems; linkage cache: ojphi-9765.pdf plain text: ojphi-9765.txt item: #1366 of 1513 id: ojphi-9766 author: Swatscheno, Janet Marie title: ojphi-9766 date: 2019-05-14 words: 1229 flesch: 32 summary: Networking with laboratories of Medical Education Department, and Premier Private sector laboratories, Financing equipment and reagents through decentralised governance program, resource sharing with other National programs, Laboratories of Food Safety, Fisheries and Water authorities have resulted in laboratory confirmation of public health events to the extend of 75-80% in the past 5 years in the state. All the 14 districts of state gained remarkably in laboratory confirmation of various outbreaks. keywords: health; laboratory; state; surveillance cache: ojphi-9766.pdf plain text: ojphi-9766.txt item: #1367 of 1513 id: ojphi-9767 author: Swatscheno, Janet Marie title: ojphi-9767 date: 2019-04-17 words: 1155 flesch: 50 summary: In France mortality surveillance is pa rt of the syndromic surveillance system SurSaUD and is carried out by Santé publique France, the French public health agency. This data source was considered as reactive and valuable to implement a reactive mortality surveillance system using medical causes of death keywords: causes; death; method; msgs cache: ojphi-9767.pdf plain text: ojphi-9767.txt item: #1368 of 1513 id: ojphi-9768 author: Swatscheno, Janet Marie title: ojphi-9768 date: 2019-04-17 words: 1327 flesch: 38 summary: The further research of Ukrainian B. anthracis isolates will allow us to expand our knowledge about the population structure and evolution of anthrax in Ukraine. Thus, human isolate from Kherson region is clustering with the Japanese isolate BA104 which was obtained from pig during sporadic anthrax incident in 1982 and soil isolate from Sumy region is clustering with the BA 10 3 isolate which was obtained from beef cattle in Japan in 1991. keywords: anthracis; anthrax; region; soil; thermolysates; ukraine cache: ojphi-9768.pdf plain text: ojphi-9768.txt item: #1369 of 1513 id: ojphi-9769 author: Swatscheno, Janet Marie title: ojphi-9769 date: 2019-04-17 words: 463 flesch: 45 summary: After the event, surveillance findings were summarized for partners Results During the period of August 15–16, 2018 the number of ED visits with a mention of K2 in the chief complaint increased from three to 30 in the impacted county, compared to a peak of 5 visits during the period of March–July, 2018. Gender, age, and repeated ED visits were assessed. keywords: visits cache: ojphi-9769.pdf plain text: ojphi-9769.txt item: #1370 of 1513 id: ojphi-9770 author: Swatscheno, Janet Marie title: ojphi-9770 date: 2019-04-17 words: 807 flesch: 36 summary: Results We have developed a supervised-learning framework for outbreak detection based on reported infections and outbreaks, proposing two algorithms and an evaluation method. ISSN 1947-2579 * http://ojphi.org * 11(1): e261, 2019 ISDS 2019 Conference Abstracts Supervised Learning for Automated Infectious-Disease- Outbreak Detection Benedikt Zacher, Alexander Ullrich, Stephane Ghozzi Infectious-Disease Epidemiology, Robert Koch Institute, Berlin, Germany Objective By systematically scoring algorithms and integrating outbreak data through statistical learning, evaluate and improve the performance of automated infectious-disease-outbreak detection. keywords: learning; outbreak cache: ojphi-9770.pdf plain text: ojphi-9770.txt item: #1371 of 1513 id: ojphi-9771 author: Swatscheno, Janet Marie title: ojphi-9771 date: 2019-04-17 words: 387 flesch: 44 summary: To discuss the process for developing and revising suspected drug overdose queries in syndromic surveillance (SyS) systems. ISSN 1947-2579 * http://ojphi.org * 11(1): e262, 2019 ISDS 2019 Conference Abstracts Syndrome definitions for drug overdose: How far down the rabbit hole do we go? keywords: overdose; queries cache: ojphi-9771.pdf plain text: ojphi-9771.txt item: #1372 of 1513 id: ojphi-9772 author: Swatscheno, Janet Marie title: ojphi-9772 date: 2019-04-17 words: 1044 flesch: 35 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e263, 2019 ISDS 2019 Conference Abstracts Tracking environmental hazards and health outcomes to inform decision-making in the United States Heather Strosnider, Patrick Wall, Holly Wilson, Joseph Ralph, Fuyuen Yip Tracking Program, US CDC, Atlanta, Georgia, United States Objective To increase the availability and accessibility of standardized environmental health data for public health surveillance and d ecision- making. Gaps in data have been addressed through standards for new data collections, models to extend available data, new methodologies for using existing data, and expansion of the utility of non-traditional public health data. keywords: data; environmental; health cache: ojphi-9772.pdf plain text: ojphi-9772.txt item: #1373 of 1513 id: ojphi-9773 author: Swatscheno, Janet Marie title: ojphi-9773 date: 2019-05-14 words: 1078 flesch: 47 summary: Our analysis revealed that observations where mental health codes are listed later were less likely to be identifiable as true mental health cases, and led to our decision to only include observations with qualifying codes listed first or second. The most common reasons for mental health visits across the region were anxiety, mood disorder, and suicide ideation (Figure 1). keywords: data; disorder; essence; health cache: ojphi-9773.pdf plain text: ojphi-9773.txt item: #1374 of 1513 id: ojphi-9774 author: Swatscheno, Janet Marie title: ojphi-9774 date: 2019-04-17 words: 1512 flesch: 42 summary: The 106 matched records only represent 7% of total overdose records identified in the UB data. New Jersey historically had slightly higher unintent ional drug overdose death rates than the national average, but by 2001 dramatic increases in drug overdose deaths in states like West Virginia began to drive up the national rate (Figure 1). keywords: data; opioid; overdose; records cache: ojphi-9774.pdf plain text: ojphi-9774.txt item: #1375 of 1513 id: ojphi-9776 author: Swatscheno, Janet Marie title: ojphi-9776 date: 2019-04-19 words: 480 flesch: 38 summary: A collection of keywords and phrases specific to work- related injuries was developed by manually assessing the free text chief complaint data field’s. Introduction This study uses data from the New Jersey syndromic surveillance system (EpiCenter) as a data source to enhance surveillance of current non-fatal occupational injuries, illnesses, and poisonings. keywords: injuries; surveillance cache: ojphi-9776.pdf plain text: ojphi-9776.txt item: #1376 of 1513 id: ojphi-9779 author: Swatscheno, Janet Marie title: ojphi-9779 date: 2019-04-19 words: 1220 flesch: 50 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e268, 2019 ISDS 2019 Conference Abstracts Validating Syndromic Data for Opioid Overdose Surveillance in Florida Randolph E. Schilke, Karen Card, Junwei Jiang, Joshua Sturms, Steve McCoy, Leah Colston Florida Department of Health, Tallahassee, Florida, United States Objective Assess the validity of Florida (FL) Enhanced State Opioid Overdose Surveillance (ESOOS) non-fatal syndromic case definitions. Introduction In 2017, FL Department of Health (DOH) became one of thirty-two states plus Washington, D.C funded by the Center for Disease Control and Prevention (CDC) under the ESOOS program. keywords: case; esoos; ppv; sensitivity cache: ojphi-9779.pdf plain text: ojphi-9779.txt item: #1377 of 1513 id: ojphi-9780 author: Swatscheno, Janet Marie title: ojphi-9780 date: 2019-04-19 words: 926 flesch: 51 summary: However, practitioners frequently ignore statistical alerts altogether because of the overwhelming volume of data and alerts. While some states have well-coordinated processes for delegating data and statistical alerts to local public health jurisdictions for review, many do not have adequate resources. keywords: alerts; average; essence cache: ojphi-9780.pdf plain text: ojphi-9780.txt item: #1378 of 1513 id: ojphi-9781 author: Swatscheno, Janet Marie title: ojphi-9781 date: 2019-05-06 words: 943 flesch: 34 summary: This has given rise to the practice of antibiotic stewardship, which seeks to reduce unnecessary antibiotic use across different care settings. Antibiotic stewardship has been increasingly applied in hospital settings, but adoption has been slow in many ambulatory care settings including primary care of humans. keywords: health; platform; stewardship; use cache: ojphi-9781.pdf plain text: ojphi-9781.txt item: #1379 of 1513 id: ojphi-9782 author: Swatscheno, Janet Marie title: ojphi-9782 date: 2019-05-23 words: 871 flesch: 53 summary: Uganda has however developed capacity to investigate, test and confirm RVF disease. Institute of Medicine (U.S.), Committee on Achieving Sustainable Global Capacity for surveillance and Response to Emerging Diseases of Zoonotic Origin, Keusch G. Sustaining global surveillance and response to emerging zoonotic diseases, 2009 5. keywords: disease; health; uganda cache: ojphi-9782.pdf plain text: ojphi-9782.txt item: #1380 of 1513 id: ojphi-9783 author: Swatscheno, Janet Marie title: ojphi-9783 date: 2019-05-23 words: 1073 flesch: 36 summary: [1] Miranda LM et al., 2017, Transbound Emerg Dis.; [2] Barroga TRM et al., 2018, Trop Med and Inf Dis.; keywords: pep; rabies cache: ojphi-9783.pdf plain text: ojphi-9783.txt item: #1381 of 1513 id: ojphi-9784 author: Swatscheno, Janet Marie title: ojphi-9784 date: 2019-05-08 words: 1087 flesch: 46 summary: Results Two (20%) of the government and only one in five private veterinary health facilities had records on rabies cases. Comparison of immunochromatographic diagnostic test with heminested r everse transcriptase polymerase chain reaction for detection of rabies virus from brain samples of various species. keywords: health; nigeria; rabies; state; system cache: ojphi-9784.pdf plain text: ojphi-9784.txt item: #1382 of 1513 id: ojphi-9785 author: Swatscheno, Janet Marie title: ojphi-9785 date: 2019-05-08 words: 948 flesch: 48 summary: Space-time scan statistics identified significant primary clusters of H5N1 outbreaks in the coastal belt of the Greater Accra region, characterized by major commercial activities and the presence of wetlands of relevance to wild birds and migratory waterfowl. Conclusions Two (2) major waves of H5N1 outbreaks occurred in Ghana between 2007 and 2017. keywords: ghana; h5n1; outbreaks cache: ojphi-9785.pdf plain text: ojphi-9785.txt item: #1383 of 1513 id: ojphi-9786 author: Swatscheno, Janet Marie title: ojphi-9786 date: 2019-05-08 words: 479 flesch: 42 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e328, 2019 ISDS 2019 Conference Abstracts Surveillance on Arboviral Infections in Georgia by using One Health Approach Giorgi Chakhunashvili, David Tsereteli Communicable Diseases, National Center for Disease Control and Public Health, Tbilisi, Georgia Objective Identify cases of West Nile virus in Black Sea region of Georgia through active surveillance. Medical personnel was trained on using WNV case definition. keywords: georgia; surveillance cache: ojphi-9786.pdf plain text: ojphi-9786.txt item: #1384 of 1513 id: ojphi-9787 author: Swatscheno, Janet Marie title: ojphi-9787 date: 2019-05-14 words: 1303 flesch: 41 summary: Since April 2016 the USDA, Animal and Plant Health Inspection Service (APHIS), Veterinary Services (VS) has used data from the PHIS to monitor changes in the weekly count/rate of cattle condemnations for three cattle types, beef cows, dairy cows, and fed cattle (steers and heifers), and for selected condemnation reasons (central nervous system (CNS), dead, emaciation, mastitis, moribund, pneumonia, pyrexia, and septicemia). 3. Haredasht S, Vidal G, Edmondson A, Moore D, Silva-del-Rio N, Martinez-Lopez B. (2018) Characterization of the temporal trends in the rate of cattle carcass condemnation in the US and dynamic modeling of the condemnation reasons in California with a seasonal component. keywords: cattle; condemnation; cows; establishment cache: ojphi-9787.pdf plain text: ojphi-9787.txt item: #1385 of 1513 id: ojphi-9788 author: Swatscheno, Janet Marie title: ojphi-9788 date: 2019-05-14 words: 919 flesch: 33 summary: The BioSense Platform tools include: 1) Access and Management Center (AMC), a tool that enables site administrators to manage users and data permissions; 2) Electronic Surveillance System for Early Notification of Community- based Epidemics (ESSENCE), a software application that enables syndromic surveillance related data visualization and analysis; 3) Adminer, a tool that allows users to access site data on the datamart; and 4) Rstudio, an application that can be used for data analysis and visualization. These included creating data access rules, viewing and verifying raw and processed data, running time series, conducting free-text queries, and assessing data details and total ER visit counts by hospital, county/region, or state. keywords: biosense; data; participants; platform cache: ojphi-9788.pdf plain text: ojphi-9788.txt item: #1386 of 1513 id: ojphi-9789 author: Swatscheno, Janet Marie title: ojphi-9789 date: 2019-05-10 words: 1047 flesch: 47 summary: Wider adoption of syndromic surveillance for characterizing MH disorders can support long-term planning for healthcare resources and service delivery. Query-1 focused on DD codes; query-2 focused on CC text terms; query-3 focused on a combination of CC, DD, and no exclusion for mental health co-morbidity; and query-4 focused on a combination of CC and DD and excluded mental health co-morbidity. keywords: disorders; query; visits cache: ojphi-9789.pdf plain text: ojphi-9789.txt item: #1387 of 1513 id: ojphi-9790 author: Swatscheno, Janet Marie title: ojphi-9790 date: 2019-05-10 words: 849 flesch: 54 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e344, 2019 ISDS 2019 Conference Abstracts Exploring Drug Overdose Mortality Data in Harris County, Texas Eric V. Bakota, Deborah Bujnowski, Larissa Singletary, Sherri Onyiego, Nadia Hakim, Dana Beckham Health Department, Harris County Public Health, Houston, Texas, United States Objective In this session, we will explore the results of a descriptive analysis of all drug overdose mortality data collected by the H arris County Medical Examiner's Office and how that data can be used to inform public health action. Results We found that Harris County is experiencing a modest upward trend of drug related overdoses, with 529 observed in 2010 and 618 in 2016. keywords: county; deaths; drug cache: ojphi-9790.pdf plain text: ojphi-9790.txt item: #1388 of 1513 id: ojphi-9792 author: Swatscheno, Janet Marie title: ojphi-9792 date: 2019-05-10 words: 623 flesch: 45 summary: In this sample of individuals covered by commercial insurance, hepatitis C testing rates have increased slowly between 2011 and 2016. Among these, 4,629,040 (9%) had one or more inpatient or outpatient service claim with a CPT code for hepatitis C antibody testing during the study period. keywords: hepatitis; testing cache: ojphi-9792.pdf plain text: ojphi-9792.txt item: #1389 of 1513 id: ojphi-9793 author: Swatscheno, Janet Marie title: ojphi-9793 date: 2019-05-10 words: 1469 flesch: 43 summary: Sensory impairments ranked first among the most prevalent conditions requiring special health care with a prevalence of 2.8% which represented 23% of the conditions, followed by cognitive impairments with a prevalence of 2% representing 16.4% of all http://ojphi.org/ ISDS Annual Conference Proceedings 2019. ISSN 1947-2579 * http://ojphi.org * 11(1): e346, 2019 ISDS 2019 Conference Abstracts conditions requiring special health care. keywords: care; children; cshcn; health cache: ojphi-9793.pdf plain text: ojphi-9793.txt item: #1390 of 1513 id: ojphi-9794 author: Swatscheno, Janet Marie title: ojphi-9794 date: 2019-05-10 words: 951 flesch: 33 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e347, 2019 ISDS 2019 Conference Abstracts Identifying Persons Who Inject Drugs in Medical Examiner Data in Maricopa County, AZ Rasneet S. Kumar1, Kaitlyn Sykes1, 3, Kate Goodin1, Brian Hanratty1, 2, Jessica R. White1 1 Office of Epidemiology, Maricopa County Department of Public Health, Phoenix, Arizona, United States, 2 Bioinformatics Core Facility, Biodesign Institute, Arizona State University, Tempe, Arizona, United States, 3 CSTE Applied Epidemiology Fellowship, Atlanta, Georgia, United States Objective To determine whether data from the Office of the Medical Examiner are useful for conducting injection drug use surveillance i n Maricopa County, Arizona, and to describe the characteristics of decedents who died from a drug overdose, were investigated by the county’s medical examiner, and had an indication of injection drug use. Injection drug use, a practice assoc iated with infectious disease transmission, has likely increased along with this upward trend in drug overdoses. keywords: drug; injection; use cache: ojphi-9794.pdf plain text: ojphi-9794.txt item: #1391 of 1513 id: ojphi-9795 author: Swatscheno, Janet Marie title: ojphi-9795 date: 2019-05-10 words: 1285 flesch: 47 summary: In this project UbiLab [1] is exploring the use of the zero-effort technology using sensor data collected by smart thermostats and other associated sensors to develop an innovative health surveillance platform and monitor an individual’s health at the household level as well as health indicators at population level. This method will enable the delivery of personalized insights to monitor individual- and population- level health behaviours. keywords: data; health; level; sleep; smart cache: ojphi-9795.pdf plain text: ojphi-9795.txt item: #1392 of 1513 id: ojphi-9796 author: Swatscheno, Janet Marie title: ojphi-9796 date: 2019-05-15 words: 638 flesch: 41 summary: Daily number of seizure visits were compared against a 28-day baseline using an exponentially weighted moving average algorithm. On these dates respectively, 336 visits (270 expected, p < 0.01), 349 visits (278 expected, p < 0.01), and 306 visits (267 expected, p < 0.01) seizure visits occurred statewide. keywords: seizure; visits cache: ojphi-9796.pdf plain text: ojphi-9796.txt item: #1393 of 1513 id: ojphi-9797 author: Swatscheno, Janet Marie title: ojphi-9797 date: 2019-05-13 words: 631 flesch: 35 summary: In 2017, Urban Indian Health Institute (UHI) released a series of Community Health Profiles (CHPs) detailing the health status of urban AI/AN communities to provide detailed information to assist in program planning, grant writing and advocacy through increased documentation of current health disparities faced by urban AI/AN populations. Identifying Health Disparities and Health Priorities Adrian Dominguez, Abigail Echo-Hawk, Kelsey Liu Urban Indian Health Institute, Seattle, W ashington, United States Objective To create an interactive, user friendly platform for partners and data users to increase awareness around relevant health disparities and strengths within the urban AI/AN community. keywords: health; urban cache: ojphi-9797.pdf plain text: ojphi-9797.txt item: #1394 of 1513 id: ojphi-9798 author: Swatscheno, Janet Marie title: ojphi-9798 date: 2019-05-13 words: 529 flesch: 34 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e351, 2019 ISDS 2019 Conference Abstracts Mental health and opioid addiction comorbidities among chronic pain patients Bill Saunders1, 3, Kevin Cevasco2, 1 1 W atson Health, IBM, Cambridge, Massachusetts, United States, 2 George Mason University, Fairfax Station, Virginia, United States, 3 UNC Charlotte, Charlotte, North Carolina, United States Objective Assessing mental health and opioid addiction comorbidities among chronic pain patients using a large longitudinal clinical, operational, and laboratory data set. In addition to demographic characteristics of drug abusers, we will describe common comorbidities of selected mental health diagnoses, examine coding- related issues, distinguish chronic and episodic addiction and look for regional differences due to state/local level prescribing training and provider addiction awareness. keywords: health; opioid; risk cache: ojphi-9798.pdf plain text: ojphi-9798.txt item: #1395 of 1513 id: ojphi-9800 author: Swatscheno, Janet Marie title: ojphi-9800 date: 2019-05-13 words: 773 flesch: 40 summary: We sought to explore the association between chronic HCV infection and mental illness after adjusting for important confounders. Chronic HCV infection was defined by a positive HCV RNA test result. keywords: hcv; illness; infection cache: ojphi-9800.pdf plain text: ojphi-9800.txt item: #1396 of 1513 id: ojphi-9801 author: Swatscheno, Janet Marie title: ojphi-9801 date: 2019-05-13 words: 692 flesch: 30 summary: In addition, we demonstrate that the accumulation of chronic conditions, which is measured by affinity in multimorbidity, is unevenly distributed through out thecity. Accura te estimations of how chronic conditions are spatially clustered and linked to other sociomarkers keywords: chronic; conditions; multimorbidity cache: ojphi-9801.pdf plain text: ojphi-9801.txt item: #1397 of 1513 id: ojphi-9803 author: Swatscheno, Janet Marie title: ojphi-9803 date: 2019-05-13 words: 316 flesch: 39 summary: Conclusions Decline in pulmonary function is the most important pathway in central obesity–related asthma. We aimed to investigate the mediating pathways and to search for the most prominent pathological mechanism between central obesity and childhood asthma. keywords: asthma cache: ojphi-9803.pdf plain text: ojphi-9803.txt item: #1398 of 1513 id: ojphi-9805 author: Swatscheno, Janet Marie title: ojphi-9805 date: 2019-05-13 words: 1410 flesch: 42 summary: Setting Emergency Inpatient Outpatient Other 4.6 13.2 -3.0 -52.1 6.6 17.3 -1.2 -48.7 Insurance Commercial Medicaid/Medicare Other Unknown -2.9 -3.4 -2.7 10.5 -2.4 -1.7 -2.1 5.6 *%△ = (Prevalence % Among Wellness Visits) - (Prevalence % Among Other Visits) http://ojphi.org/ Conclusions Wellness visits were associated with lower childhood overweight and obesity prevalence and were more likely to have weight and height measurements recorded in the EHR than other visit types. keywords: data; prevalence; weight; wellness cache: ojphi-9805.pdf plain text: ojphi-9805.txt item: #1399 of 1513 id: ojphi-9806 author: Swatscheno, Janet Marie title: ojphi-9806 date: 2019-05-13 words: 1084 flesch: 49 summary: For the birth cohort, the annual incidence of HCV testing was about 2% per year during the time period between 2008 and 2011 (data not shown). ISSN 1947-2579 * http://ojphi.org * 11(1): e357, 2019 ISDS 2019 Conference Abstracts Trend analysis in hepatitis C testing, OptumLabs® Data Warehouse, 2011–2017 Jane Sullivan1, Jae Eui Soh2, 3, Mohammed A. Khan2, 3, William W. Thompson3, Noele P. Nelson3 1 OptumLabs, Eden Prairie, Minnesota, United States, 2 Emory University, Atlanta, Georgia, United States, 3 Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, United States Objective Using administrative claims for privately insured and Medicare Advantage enrollees from a large, private, U. S. health plan, we estimated the prevalence of hepatitis C testing among individuals who were recommended to be tested (i.e., baby boomer cohort born between 1945 and 1965) by the CDC and United States Preventive Services Task Force. keywords: cohort; hcv; testing cache: ojphi-9806.pdf plain text: ojphi-9806.txt item: #1400 of 1513 id: ojphi-9807 author: Swatscheno, Janet Marie title: ojphi-9807 date: 2019-05-13 words: 1076 flesch: 53 summary: At the national level, mean stay duration for LBP attendances in ED is almost 5 hours whereas median stay duration is 2 hours and 45 minutes. ED attendances with a medical diagnosis of LBP have been identified using at least one of the following ICD10 codes “M545”, “M5450”, “M5456”, “M5457”, “M5458”, “M5459”. keywords: attendances; lbp; national cache: ojphi-9807.pdf plain text: ojphi-9807.txt item: #1401 of 1513 id: ojphi-9808 author: Swatscheno, Janet Marie title: ojphi-9808 date: 2019-05-08 words: 909 flesch: 43 summary: Conclusions Using data driven technology to inform how Clark County Health Department and first responders collectively address the opioid crisis is a novel approach. Since January 2018, Clark County Health Department has used ESSENCE (Electronic Surveillance System for the Early Notification of Community- based Epidemics) to determine where and when an increase of drug overdose activity is occurring throughout the county. keywords: clark; county; response cache: ojphi-9808.pdf plain text: ojphi-9808.txt item: #1402 of 1513 id: ojphi-9812 author: Swatscheno, Janet Marie title: ojphi-9812 date: 2019-05-08 words: 610 flesch: 40 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e331, 2019 ISDS 2019 Conference Abstracts A Fairer Mirror: Equity-limited Healthcare System Rankings Samuel Reisman1, 2, Begum Ahmed1, Mostafa Balboul1, Zev Blumenkranz3 1 College of Medicine, SUNY Downstate College of Medicine, Brooklyn, New York, United States, 2 SUNY Downstate School of Public Health, Brooklyn, New York, United States, 3 New York Medical College, Valhalla, New York, United States Objective ● Describe the diverse determinants of national health and how they are compositely graded in health care system rankings. Conclusions Equity-limited ranking methodologies can prevent inequitable health care systems from attaining high overall ratings. keywords: equity; health cache: ojphi-9812.pdf plain text: ojphi-9812.txt item: #1403 of 1513 id: ojphi-9813 author: Swatscheno, Janet Marie title: ojphi-9813 date: 2019-05-14 words: 859 flesch: 45 summary: Birth registration among children under age five years double between NFHS-3 and NFHS -4 (from 41% to 81%). This study found that high levels of birth registration were related to a high level of awareness among the urban population regarding birth registration. keywords: birth; registration cache: ojphi-9813.pdf plain text: ojphi-9813.txt item: #1404 of 1513 id: ojphi-9814 author: Swatscheno, Janet Marie title: ojphi-9814 date: 2019-05-08 words: 1212 flesch: 41 summary: During the upcoming 2019 monsoon season, air monitors with a daily AQI reading of >50 will trigger the emailing of a scripted letter to asthmatic members (connected to that specific monitor) informing them of poor air quality in their area and alerting them to limit their outdoor time and to ensure that their medications are up -to-date and easily available. Asthmatic members were mapped to air monitor buffers using a spatial overlap program in QGIS. keywords: air; asthma; health; members; monitor cache: ojphi-9814.pdf plain text: ojphi-9814.txt item: #1405 of 1513 id: ojphi-9815 author: Swatscheno, Janet Marie title: ojphi-9815 date: 2019-05-14 words: 991 flesch: 35 summary: Disease Control unit, DGHS is responsible for implementing operational plan of disease surveillance system of IEDCR. The surveillance system maintain strategic collaboration with icddrr,b. Methods The IEDCR is conducting disease surveillance in several methods and following several systems. keywords: disease; health; surveillance; system cache: ojphi-9815.pdf plain text: ojphi-9815.txt item: #1406 of 1513 id: ojphi-9816 author: Swatscheno, Janet Marie title: ojphi-9816 date: 2019-05-08 words: 637 flesch: 31 summary: An offshoot of a Syndromic Surveillance Consortium Kike Oduba1, Tolulope Olumuyiwa1, Biru Yang1, Joanne Schulte1, Kaye Reynold2, Eric Bakota3 1 Houston Health Department, Houston, Texas, United States, 2 Fortbend County Health and Human Services, Richmond, Texas, United States, 3 Harris County Public Health, Houston, Texas, United States Objective • To demonstrate the importance of a cross-jurisdictional etiquette workgroup in the Texas Southeast region that leverages on the Syndromic Surveillance Consortium • To promote data sharing and communicate the findings of disease to assist rapid investigation and data sharing Key words: ESSENCE (Electronic Surveillance System for Early notification of Community-based Epidemics) Introduction Syndromic data is shifting the way surveillance has been done traditionally. To effectively monitor the health of the region’s population, a need arose to establish clear guidelines for disease investigation and data sharing triggered by syndromic surveillance across the area. keywords: data; health; sharing cache: ojphi-9816.pdf plain text: ojphi-9816.txt item: #1407 of 1513 id: ojphi-9817 author: Swatscheno, Janet Marie title: ojphi-9817 date: 2019-05-15 words: 741 flesch: 42 summary: A total of 7 unusual health events related to specific and suspected conditions (3 vector-borne diseases related, 4 diarrhea-related) were reported to district health authorities, of which 3 were confirmed outbreaks (1 dengue, 1 malaria, and 1 typhoid) as investigated by local health authorities. The core services delivered through MMUs are the diagnosis, treatment, counseling, and free drug distribution to the beneficiaries suffering from common ailments ranging from seasonal diseases to acute communicable and common chronic non-communicable diseases. keywords: andhra; disease; health cache: ojphi-9817.pdf plain text: ojphi-9817.txt item: #1408 of 1513 id: ojphi-9818 author: Swatscheno, Janet Marie title: ojphi-9818 date: 2019-05-08 words: 473 flesch: 29 summary: Introduction The DoD and VDH both maintain local ESSENCE installations to monitor the health status of their military and civilian populations, respectively, and submit syndromic surveillance data to the NSSP ESSENCE to foster data sharing and collaborative initiatives among public health entities. DoD and VDH engaged in a pilot project to develop processes and procedures for data sharing, data access, and communication with the aim they can serve as best practices for other jurisdictions seeking to share syndromic surveillance data with DoD. Description The pilot project began in June 2018 with the Centers for Disease Control and Prevention (CDC) NSSP team providing technical support. keywords: data; surveillance cache: ojphi-9818.pdf plain text: ojphi-9818.txt item: #1409 of 1513 id: ojphi-9819 author: Swatscheno, Janet Marie title: ojphi-9819 date: 2019-05-16 words: 1051 flesch: 49 summary: Lastly, results for dehydration and syncope were independently assessed apart from other HRI query terms during both heat seasons and colder months. Additionally, the comparative analysis showed that, with the added terms, the volume of HRI encounters was larger during colder months than hotter months suggesting misclassification of non-HRI illnesses. keywords: heat; hri; query cache: ojphi-9819.pdf plain text: ojphi-9819.txt item: #1410 of 1513 id: ojphi-9821 author: Swatscheno, Janet Marie title: ojphi-9821 date: 2019-05-08 words: 855 flesch: 34 summary: Introduction With the increase in the amount of public health data along with the growth of public health informatics, it is important for epidemiologists to understand the current trends in technology and the impact they may have in the fi eld. This presentation will provide an overview of these technologies and focus on how they may impact public health surveillance in the future. keywords: data; health; technologies cache: ojphi-9821.pdf plain text: ojphi-9821.txt item: #1411 of 1513 id: ojphi-9825 author: Swatscheno, Janet Marie title: ojphi-9825 date: 2019-05-10 words: 1293 flesch: 38 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e341, 2019 ISDS 2019 Conference Abstracts Short-term health impact assessment after Irma in French islands Elise DAUDENS-VAYSSE1, Marie BARRAU1, Lydéric AUBERT1, Patrick PORTECOP2, Eric FONTANILLE3, Cécile Forgeot1, Pierre-Marie LINET4, Lazare NOUBOU5, Didier ROUX6, Céline GENTIL1, Philippe MALFAIT1, Manuel ZURBARAN1, Quiterie MANO1, Frédérique DORLEANS1, Isabelle PONTAIS1, Harris GLADONE7, Anthony FORBIN7, Tiphanie SUCCO1, Céline Caserio- Schönemann1, Caroline SIX1 1 Santé publique France, Fort-de-France, Martinique, 2 SAMU 971, Pointe-à-Pitre, Guadeloupe, 3 Agence régionale de santé de Martinique, Fort-de- France, Martinique, 4 Centre hospitalier Fleming, Marigot, Saint Martin (French part), 5 Centre Hospitalier de Bruyn, Gustavia, Saint Barthélemy, 6 Agence régional de santé de Guadeloupe, Saint-Martin et Saint-Barthélemy, Pointe-à-Pitre, Guadeloupe, 7 GCS e-Santé ARCHIPEL 97-1, Baie- Mahault, Guadeloupe Objective Describe short-term health effects of the Hurricane using the syndromic surveillance system based on emergency departments, general practitioners and dispensaries in Saint-Martin and Saint-Barthélemy islands from September 11, 2017 to October 29, 2017. Methods Before Irma, ED data were collected daily directly from patients’ computerized medical files that were filled in during medical consultations at ED. keywords: barthélemy; data; martin; saint; surveillance cache: ojphi-9825.pdf plain text: ojphi-9825.txt item: #1412 of 1513 id: ojphi-9827 author: Swatscheno, Janet Marie title: ojphi-9827 date: 2019-05-10 words: 872 flesch: 25 summary: NCEH was able to disseminate case definitions for public health surveillance as well as relevant points of contact for PC and HD staff to report suspected outbreak-related cases. In this roundtable, we will: 1) discuss how to develop information and tools for inter-agency public health communication and messaging, 2) identify key stakeholders including potential national, state, and local agencies who can help bolster communication messaging, and 3) develop appropriate points of contact within these agencies. keywords: health; nceh; surveillance cache: ojphi-9827.pdf plain text: ojphi-9827.txt item: #1413 of 1513 id: ojphi-9828 author: Swatscheno, Janet Marie title: ojphi-9828 date: 2019-05-13 words: 1323 flesch: 37 summary: Notably, isolates from the public sector showed higher resistance to Ciprofloxacin and from private sector showed complete resistance to Azithromycin. A role for private sector laboratories in public health surveillance of antimicrobial resistance. keywords: labs; private; public; resistance cache: ojphi-9828.pdf plain text: ojphi-9828.txt item: #1414 of 1513 id: ojphi-9833 author: Swatscheno, Janet Marie title: ojphi-9833 date: 2019-05-13 words: 767 flesch: 32 summary: Introduction In the past 15 years, public health surveillance has undergone a revolution driven by advances in information technology (IT) with vast improvements in the collection, analysis, visualization, and reporting of health data. ISSN 1947-2579 * http://ojphi.org * 11(1): e360, 2019 ISDS 2019 Conference Abstracts Building Electronic Disease Surveillance Capacity in the Peruvian Navy with SAGES Shraddha Patel, Miles Stewart, Martina Siwek Johns Hopkins Applied Physics Laboratory, Laurel, Maryland, United States Objective To introduce SMS-based data collection into the Peruvian Navy’s public health surveillance system for increased reporting rates and timeliness, particularly from remote areas, as well as improve capabilities for analysis of surveillance data by decision makers. keywords: health; surveillance; system cache: ojphi-9833.pdf plain text: ojphi-9833.txt item: #1415 of 1513 id: ojphi-9834 author: Swatscheno, Janet Marie title: ojphi-9834 date: 2019-05-13 words: 701 flesch: 46 summary: In the southern 3 countries, influenza peaks were observed at 8th (7.9±4.8) week in usual without anomalies, but at 5th (5.0±3.3) week in El Niño or La Niña events (p=0.049). Association of early annual peak influenza activity with El Niño southern oscillation in Japan. keywords: influenza; peak cache: ojphi-9834.pdf plain text: ojphi-9834.txt item: #1416 of 1513 id: ojphi-9835 author: Swatscheno, Janet Marie title: ojphi-9835 date: 2019-05-13 words: 1229 flesch: 37 summary: While the surveillance system at all levels detects malaria outbreaks, clinics experience barrier s to timely and reliable reporting of cases and outbreaks to the district level. To detect malaria outbreaks, clinics and districts use graphs showing weekly malaria case counts against threshold limit values http://ojphi.org/ ISDS Annual Conference Proceedings 2019. keywords: health; level; malaria; outbreak; surveillance cache: ojphi-9835.pdf plain text: ojphi-9835.txt item: #1417 of 1513 id: ojphi-9836 author: Swatscheno, Janet Marie title: ojphi-9836 date: 2019-05-13 words: 1128 flesch: 38 summary: Introduction The West Africa Ebola outbreak of 2014-2016 demonstrated the importance of strong disease surveillance systems and the severe consequences of weak capacity to detect and respond to cases quickly. This online system enables prefecture health offices to enter aggregate weekly disease reports from health facilities and for that information to be immediately accessible to designated staff at prefecture, regional and national levels. keywords: case; disease; health; system cache: ojphi-9836.pdf plain text: ojphi-9836.txt item: #1418 of 1513 id: ojphi-9837 author: Swatscheno, Janet Marie title: ojphi-9837 date: 2019-05-15 words: 1258 flesch: 31 summary: In 2015, the Guinean Ministry of Health (MoH) recognized the importance of the IDSR framework as a tool for improving disease surveillance and emphasized IDSR strengthening as a priority activity in the post-Ebola transition [3]. While the IDSR activities have focused heavily on building capacity for human disease surveillance, it is critical that similar attention is given to animal health. keywords: data; forms; health; idsr; surveillance cache: ojphi-9837.pdf plain text: ojphi-9837.txt item: #1419 of 1513 id: ojphi-9838 author: Swatscheno, Janet Marie title: ojphi-9838 date: 2019-05-15 words: 1191 flesch: 38 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e365, 2019 ISDS 2019 Conference Abstracts Improving measles syndromic surveillance via dried blood spot testing in Laos 2016-17 Andrew D. Nguyen, Andrew Dang Khai Nguyen, Chanthavy Soulaphy, Michael Marks, Jennie Musto Queensland Health, Australia Objective To evaluate whether dried blood spot (DBS) testing improves diagnostic uptake in Vientiane Capital City province, Lao People's Democratic Republic (PDR) compared to conventional diagnostic techniques (venous blood by venepuncture) during syndromic surveillance from 2016-17. It also analysed reasons for poor diagnostic uptake among healthcare personnel involved in syndromic surveillance. keywords: dbs; surveillance; uptake; venepuncture cache: ojphi-9838.pdf plain text: ojphi-9838.txt item: #1420 of 1513 id: ojphi-9839 author: Swatscheno, Janet Marie title: ojphi-9839 date: 2019-05-13 words: 1100 flesch: 30 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e366, 2019 ISDS 2019 Conference Abstracts Informatics & Surveillance in Global Health: Informatics Capacity for Zika Outbreak Wycliffe Odongo, Ray Ransom, Olga Henao Centers for Disease Control and Prevention, Atlanta, Georgia, United States Objective To assess challenges of establishing surveillance and research study systems and present strategies for rapid deployment in global health for the outbreak response. With rapidly changing contexts and outbreak type scenarios, surveillance and research systems must be flexible to rapidly adapt their functional requirements. keywords: data; information; research; studies; systems cache: ojphi-9839.pdf plain text: ojphi-9839.txt item: #1421 of 1513 id: ojphi-9841 author: Swatscheno, Janet Marie title: ojphi-9841 date: 2019-05-15 words: 1419 flesch: 45 summary: These networks are: - The RENAU network (North Alpine Emergency Network) which covers the Savoie, Haute-Savoie, and part of Isère regions (including Grenoble University Hospital); - The RESUVAL network (emergency network of the Rhone Valley) which covers the Ain, the Rhône (including the University Hospital of Lyon), the Drôme, the Ardèche (except the northern part) and the rest of the Isère regions; - The REULIAN network (Loire and northern Ardèche emergency network) which covers the Loire (including the University Hospital of Saint-Etienne) and the northern part of Ardèche (Annonay). The transmission quality of emergency visits data at D + 1 varies between 51% and 73%. keywords: emergency; health; region; sectors cache: ojphi-9841.pdf plain text: ojphi-9841.txt item: #1422 of 1513 id: ojphi-9842 author: Swatscheno, Janet Marie title: ojphi-9842 date: 2019-05-15 words: 1254 flesch: 21 summary: The support complements other Global health security agenda (GHSA) on the key thematic areas (Prevent, Detect and Report) support to the MOHCDGEC and working with the newly formed Emergency Operations Center (EOC) to improve response. Methods Between February and November 2018, the MOHCDGEC and MCSP undertook activities to generate information for future plans to strengthen Tanzania’s disease surveillance system to address the Global Health Security Agenda (GHSA): 1) desk review of country’s disease surveillance 2) meetings with stakeholders involved in surveillance; 3) workshop where stakeholders discussed and developed strategies for streamlining disease surveillance; 4) asset mapping to identify assets (human, financial, physical 5) stakeholders meeting to further discuss and agree on future strategies, activities. A proposed plan for implementing key activities to achieve integration and streamlining of disease surveillance has been developed and it is hoped that resources will be made available for immediate implementation. keywords: disease; idsr; program; surveillance cache: ojphi-9842.pdf plain text: ojphi-9842.txt item: #1423 of 1513 id: ojphi-9843 author: Swatscheno, Janet Marie title: ojphi-9843 date: 2019-05-15 words: 990 flesch: 30 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e369, 2019 ISDS 2019 Conference Abstracts Tracking harmful chemicals and pathogens using the Human Health Observatory at ASU Rolf U. Halden, Elizabeth Terlinden, Simona Kraberger, Matthew Scotch, Joshua Steele, Arvind Varsani Biodesign Center for Environmental Health Engineering, Arizona State University, Tempe, Arizona, United States Objective To highlight the new science of population and urban metabolism metrology, for characterizing human exposures to biological agents, narcotics, antimicrobials and other contaminants of emerging concern using community wastewater as a diagnostic matrix. Wastewater Treatment Plants as Chemical Observatories to Forecast Ecological and Human Health Risks of Manmade Chemicals. keywords: conference; health; isds; municipal; wastewater cache: ojphi-9843.pdf plain text: ojphi-9843.txt item: #1424 of 1513 id: ojphi-9844 author: Swatscheno, Janet Marie title: ojphi-9844 date: 2019-05-15 words: 481 flesch: 33 summary: Introduction Surveillance of influenza epidemics is a priority for risk assessment and pandemic preparedness. The maps indicated areas of elevated epidemic intensity across Australia by week and area, that were consistent with the observed start, peak and decline of the epidemic when compared with weekly counts aggregated at the state and territory level. keywords: epidemic; influenza cache: ojphi-9844.pdf plain text: ojphi-9844.txt item: #1425 of 1513 id: ojphi-9845 author: Swatscheno, Janet Marie title: ojphi-9845 date: 2019-05-15 words: 1324 flesch: 45 summary: Of 247 patients with positive HAV IgM, 91 (37%) had presence of ICD-10- CM encounter codes for one or more of the following risk factors associated with HAV outbreaks (in order of frequency): substance abuse (63/247; 26%), homelessness (36/247; 15%), HCV (30/247; 12%), and HBV (2/247; 0.8%). Patients with coded HAV encounter or hospitalization were compared to individuals with HAV IgM positive results to determine Positive Predictive Value (PPV) of HAV outpatient and inpatient diagnostic codes. keywords: hav; health; igm; patients cache: ojphi-9845.pdf plain text: ojphi-9845.txt item: #1426 of 1513 id: ojphi-9846 author: Swatscheno, Janet Marie title: ojphi-9846 date: 2019-05-15 words: 469 flesch: 43 summary: Identification of spacer sequences from CRISPR loci was conducted to evaluate the genetic diversity among the isolates. The distribution of spacers and their arrays in Y. pestis strains is region and focus specific and can provide important information for genotypi ng and evolutionary research of bacteria. keywords: crispr; pestis cache: ojphi-9846.pdf plain text: ojphi-9846.txt item: #1427 of 1513 id: ojphi-9847 author: Swatscheno, Janet Marie title: ojphi-9847 date: 2019-05-15 words: 1256 flesch: 31 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e374, 2019 ISDS 2019 Conference Abstracts Assessing the burden of arboviral diseases using a multiplexed serological survey in French Guiana Claude Flamand1, Camille Fritzell1, Lena Berthelot1, Jessica Vanhomwegen2, Sarah Bailly1, Nathanael Hoze2, Severine Matheus1, Antoine Enfissi1, Henrik Salje2, Felix Djossou3, Sandrine Fernandes-Pellerin2, Mirdad Kazanji1, Simon Cauchemez2, Dominique Rousset1 1 Epidemiology unit, Institut Pasteur in French Guiana, Cayenne, French Guiana, 2 Institut Pasteur of Paris, Paris, France, 3 Cayenne Hospital Center, Cayenne, French Guiana Objective In French Guiana, the epidemiology of arboviral diseases has been marked by the occurrence several major dengue fever (DENV) outbreaks over the past few decades, recent emergences of Chikungunya (CHKV) and Zika virus (ZIKV) and the circulation of Mayaro virus (MAYV) keywords: dengue; french; guiana; pubmed cache: ojphi-9847.pdf plain text: ojphi-9847.txt item: #1428 of 1513 id: ojphi-9848 author: Swatscheno, Janet Marie title: ojphi-9848 date: 2019-05-15 words: 996 flesch: 39 summary: Specific to HPV vaccines, IBIS received over 900,000 HPV vaccines administered to roughly 400,000 individuals by over 1100 clinics; 2017 data included 91,951 HPV vaccines administered to 81,795 patients. Using ICE, 85% of HPV vaccines were valid, 10% were accepted as extra doses not needed to complete the HPV series, 4% were invalid because the dose was given too soon after the previous dose, and less than 1% as invalid because the dose was administered too early (under nine years). keywords: hpv; ibis; vaccines; years cache: ojphi-9848.pdf plain text: ojphi-9848.txt item: #1429 of 1513 id: ojphi-9849 author: Swatscheno, Janet Marie title: ojphi-9849 date: 2019-05-15 words: 1338 flesch: 47 summary: In this android application, VisionDx, a machine learning algorithm analyses human face images and within milliseconds notifies the user with confidence level whe ther or not the person is sick. There are no known collections of disease facial images. keywords: camera; health; images; mobile; model cache: ojphi-9849.pdf plain text: ojphi-9849.txt item: #1430 of 1513 id: ojphi-9853 author: Swatscheno, Janet Marie title: ojphi-9853 date: 2019-05-15 words: 801 flesch: 39 summary: Clark C, Espinosa Cantellano M, Bhattacharya A. Entamoeba histolytica: an overview of the biology of the organism (2013). ISSN 1947-2579 * http://ojphi.org * 11(1): e377, 2019 ISDS 2019 Conference Abstracts Comparison and diagnosis of Entamoeba in stool sample from rural community of Nepal Sandeep Thapa Microbial Genetics, Kathmandu Center for Genomics and Research Laboratory, Gwarko, State 2: Lalitpur, Nepal Objective To find out the prevalence of Entamoeba species in rural community of Nepal. keywords: entamoeba; histolytica cache: ojphi-9853.pdf plain text: ojphi-9853.txt item: #1431 of 1513 id: ojphi-9854 author: Swatscheno, Janet Marie title: ojphi-9854 date: 2019-05-15 words: 778 flesch: 42 summary: Joan Ejembi1, 2, Uloaku Emma-Ukaegbu2, Itopa Garba2, Anthony Omale2, Bala Dogo2, Lydia Taiwo2 1 Medical Microbiology, Ahmadu Bello University, Zaria, Benue, Nigeria, 2 Nigeria Field Epidemiology and Laboratory Training Programme, Abuja, Federal Capital Territory, Nigeria Objective To identify risk factors among contacts of Lassa fever cases which can predispose to disease spread and institute control measures. To identify risk factors among contacts of Lassa fever cases which can predispose to disease spread and institute control measures, we interviewed primary contacts of Lassa fever cases during an outbreak response in Kogi State Nigeria, 2016 Methods We Identified contacts of Lassa fever cases (confirmed/suspected/probable) among family, friends, community members, co- workers and health care workers, followed up for 21 days during a Lassa fever outbreak which started in February 2016 at Kogi State Nigeria. keywords: contacts; disease; fever cache: ojphi-9854.pdf plain text: ojphi-9854.txt item: #1432 of 1513 id: ojphi-9855 author: Swatscheno, Janet Marie title: ojphi-9855 date: 2019-05-15 words: 635 flesch: 51 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e379, 2019 ISDS 2019 Conference Abstracts Detection of a Salmonellosis Outbreak using Syndromic Surveillance in Georgia Rene Borroto, Jessica Pavlick, Karl Soetebier, Bill Williamson, Patrick Pitcher, Cherie Drenzek Georgia Department of Public Health, Atlanta, Georgia, United States Objective Describe how the Georgia Department of Public Health (DPH) used data from its State Electronic Notifiable Disease Surveillance System (SendSS) Syndromic Surveillance (SS) module for early detection of an outbreak of salmonellosis in Camden County, Georgia. In July 2018, a salmonellosis outbreak occurred following a family reunion of 300 persons held in Camden County, Georgia, where one meal was served on 7/27/2018 and on 7/28/2018. keywords: county; outbreak; surveillance cache: ojphi-9855.pdf plain text: ojphi-9855.txt item: #1433 of 1513 id: ojphi-9857 author: Swatscheno, Janet Marie title: ojphi-9857 date: 2019-05-15 words: 1501 flesch: 44 summary: In this study, we aim to develop a prediction model for imported infectious disease by using the approach of ANN. However, very few studies have been conducted to deal with imported disease, while much attention has been paid to the endemic diseases. keywords: cases; data; dengue; model; number cache: ojphi-9857.pdf plain text: ojphi-9857.txt item: #1434 of 1513 id: ojphi-9858 author: Swatscheno, Janet Marie title: ojphi-9858 date: 2019-05-15 words: 1484 flesch: 52 summary: We also observed a consistent rise in EF cases in the last 8 years ( Fig 1). The second peak of EF cases in September coincided with the peak humidity in the same month. keywords: cases; years cache: ojphi-9858.pdf plain text: ojphi-9858.txt item: #1435 of 1513 id: ojphi-9864 author: Swatscheno, Janet Marie title: ojphi-9864 date: 2019-05-15 words: 603 flesch: 46 summary: Non-neuroinvasive clinical presentations found among confirmed WNV cases were fever (94%), headache (76%) followed by chills and rigors (68%). Age group 60 and above (47%) had the highest proportion of WNV cases. keywords: cases; houston cache: ojphi-9864.pdf plain text: ojphi-9864.txt item: #1436 of 1513 id: ojphi-9865 author: Swatscheno, Janet Marie title: ojphi-9865 date: 2019-05-15 words: 945 flesch: 52 summary: Increased number of reported cases might be due to the fact of an older population, more at risk individuals, aging plumbing infrastructure, and increased testing for Legionnaires’ disease by various hospitals and laboratories. Reported cases may have been not confirmed due to the lack of fulfilling the case criteria for the case. keywords: cases; disease; legionnaires cache: ojphi-9865.pdf plain text: ojphi-9865.txt item: #1437 of 1513 id: ojphi-9867 author: Swatscheno, Janet Marie title: ojphi-9867 date: 2019-05-15 words: 431 flesch: 45 summary: Phylogenetic analysis was performed and SFTSV sequences obtained in this study were included in Korean/Japanese SFTSV clade. The infection rates of SFTSV were getting decreased each year in Deogyusan National Park. keywords: korea; sftsv cache: ojphi-9867.pdf plain text: ojphi-9867.txt item: #1438 of 1513 id: ojphi-9868 author: Swatscheno, Janet Marie title: ojphi-9868 date: 2019-05-15 words: 1041 flesch: 48 summary: The number of patients with foreign travel was 0 - 11 in each week, and the number of patients with unknown fever in the week was 0 - 6. 1 to 9 years of age accounted for the largest proportion (27.6% - 48.3%) of acute febrile patients. A total of 77 patients with acute febrile disease were admitted to the hospital. keywords: korea; patients; surveillance cache: ojphi-9868.pdf plain text: ojphi-9868.txt item: #1439 of 1513 id: ojphi-9869 author: Swatscheno, Janet Marie title: ojphi-9869 date: 2019-05-15 words: 823 flesch: 28 summary: FoodCORE, FoodNet, and routine surveillance data elements are entered into REDCap to supplement NBS, depending on program specific needs and system capability. Surveillance systems evaluation: a systematic review of the existing approaches. keywords: data; foodborne; redcap; surveillance cache: ojphi-9869.pdf plain text: ojphi-9869.txt item: #1440 of 1513 id: ojphi-9870 author: Swatscheno, Janet Marie title: ojphi-9870 date: 2019-05-16 words: 1421 flesch: 46 summary: There was no statistically significant association between MSN HIV patients who attend health department clinics and other health care facilities than other groups of HIV patients more likely to remain in care? ISSN 1947-2579 * http://ojphi.org * 11(1): e387, 2019 ISDS 2019 Conference Abstracts Post Hoc (Dunnett) test revealed differences between retention in care and risk for sexually transmitted diseases as evidenced by unprotected sex, p=0 RQ3: Are MSM HIV patients who attend health department clinics and or other health care facilities, more likely to retain in care than other groups of HIV patients? keywords: care; health; hiv; patients; retention cache: ojphi-9870.pdf plain text: ojphi-9870.txt item: #1441 of 1513 id: ojphi-9871 author: Swatscheno, Janet Marie title: ojphi-9871 date: 2019-05-16 words: 334 flesch: 44 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e388, 2019 ISDS 2019 Conference Abstracts Fatal Overdose Surveillance in the Commonwealth of Pennsylvania Craig Costigan, Carrie Thomas Goetz, Meghna Patel Pennsyvlania Department of Health, Harrisburg, Pennsylvania, United States Objective Review strategies and policies employed to get independent C/MEs from a state with a de-centralized C/ME system to start reporting overdose death data to the Department of Health. Summarize flexibility needed to collect overdose death data from C/MEs with a variety of case management systems/methods. keywords: data cache: ojphi-9871.pdf plain text: ojphi-9871.txt item: #1442 of 1513 id: ojphi-9872 author: Swatscheno, Janet Marie title: ojphi-9872 date: 2019-05-16 words: 1227 flesch: 44 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e389, 2019 ISDS 2019 Conference Abstracts Flexibility of ED surveillance system to monitor dengue outbreak in Reunion Island Pascal Vilain1, Muriel Vincent1, Anne Fouillet2, Katia Mougin-Damour3, Xavier Combes4, Adrien Vague5, Fabien Vaniet5, Laurent Filleul2, Luce Menudier1 1 Regional office of French National Public Health Agency in Indian Ocean, Saint-Denis, Réunion, 2 French National Public Health Agency, Saint- Maurice, France, 3 Hospital Centre, Saint-Paul, Réunion, 4 University Hospital Centre, Saint-Denis, Réunion, 5 Hospital Centre, Saint-Benoît, Réunion Objective In conclusion, ED surveillance system constitutes an added-value for the dengue outbreak monitoring in Reunion Island. keywords: dengue; surveillance; system cache: ojphi-9872.pdf plain text: ojphi-9872.txt item: #1443 of 1513 id: ojphi-9873 author: Swatscheno, Janet Marie title: ojphi-9873 date: 2019-05-16 words: 729 flesch: 39 summary: Conclusions In ICU data, great variation can be seen between the yearly influenza epidemic periods in terms of different influenza severity parameters. Together with ICUs, the NICE registry has recently undertaken actions to increase timeliness of ICU data submission. keywords: data; icu; influenza cache: ojphi-9873.pdf plain text: ojphi-9873.txt item: #1444 of 1513 id: ojphi-9874 author: Swatscheno, Janet Marie title: ojphi-9874 date: 2019-05-16 words: 602 flesch: 41 summary: EDs had an average of 10 individuals who had repeated opioid overdose visits, with a range from 1 to 62 individuals. The proportion of individuals with repeated opioid overdose visits was significantly different compared to the proportion of individuals with a single opioid overdose visit by sex (male 66% vs. 61%) and age group (20-29 years 34% vs 30%) (p < 0.05). keywords: overdose; visits cache: ojphi-9874.pdf plain text: ojphi-9874.txt item: #1445 of 1513 id: ojphi-9875 author: Swatscheno, Janet Marie title: ojphi-9875 date: 2019-05-16 words: 1189 flesch: 45 summary: This abstract aims to: 1) describe human WNV infections in Harris County excluding the City of Houston, Texas, 2003 to 2018; 2) explore geographical distributions of WNV positive mosquito pools in relation to human cases; 3) provide a brief overview of the county’s rigorous multidisciplinary WNV surveillance and control in mosquitoes and humans. Geographical locations of WNV positive mosquito pools and human cases were mapped and analyzed using ESRI ArcGIS to determine the spatial relationship between the positive mosquito pools and human cases. keywords: cases; human; mosquito; wnv cache: ojphi-9875.pdf plain text: ojphi-9875.txt item: #1446 of 1513 id: ojphi-9876 author: Swatscheno, Janet Marie title: ojphi-9876 date: 2019-05-16 words: 418 flesch: 36 summary: In all, 56(40.6%) of vendors showed good practices regarding antimalarial drug dispensing with majority (51.7%) from community pharmacies (OR=2.27,95% CI: 1.13-4.56). Questionnaire was designed to obtain information from drug vendors on the general knowledge of malaria as well as dispensing practices. keywords: community; malaria cache: ojphi-9876.pdf plain text: ojphi-9876.txt item: #1447 of 1513 id: ojphi-9877 author: Swatscheno, Janet Marie title: ojphi-9877 date: 2019-05-16 words: 662 flesch: 43 summary: HCPH epidemiologists are able to collect influenza data from multiple systems and compile it into useful reports/tools. Utilizing Data to Combat the 2017 - 2018 Influenza Season Jill D. TenHaken DSRIP, Harris County Public Health, Houston, Texas, United States Objective During this session, participants will be able to understand how Harris County Public Health utilized data to make informed decisions on how to combat the influenza season. keywords: data; influenza cache: ojphi-9877.pdf plain text: ojphi-9877.txt item: #1448 of 1513 id: ojphi-9878 author: Swatscheno, Janet Marie title: ojphi-9878 date: 2019-05-17 words: 1842 flesch: 24 summary: In order to track progress towards TB goals, we investigated the legal framework for disease surveillance, specifically policy changes for TB surveillance in Mongolia during the MDGs and the SDGs era. Conclusions There is an urgency to update the legal framework to enable a comprehensive strategy specifically for TB surveillance nationwide. keywords: health; prevention; surveillance; yes cache: ojphi-9878.pdf plain text: ojphi-9878.txt item: #1449 of 1513 id: ojphi-9879 author: Swatscheno, Janet Marie title: ojphi-9879 date: 2019-05-20 words: 892 flesch: 34 summary: Time series decomposition was used to explore the long-term seasonality of leptospirosis incidence in two counties during the period studied. Parameter estimates of the best-fitted model of the association of climatic and remotely-sensed variables with leptospirosis incidence in Mengla County and Yilong County, China http://ojphi.org/ https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=25388133&dopt=Abstract https://doi.org/10.1007/978-3-662-45059-8_5 https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=26379143&dopt=Abstract https://doi.org/10.1371/journal.pntd.0003898 https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=29866175&dopt=Abstract https://doi.org/10.1186/s40249-018-0435-2 https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16735137&dopt=Abstract https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16735137&dopt=Abstract https://doi.org/10.1016/j.healthplace.2006.03.003 keywords: china; county; factors; leptospirosis cache: ojphi-9879.pdf plain text: ojphi-9879.txt item: #1450 of 1513 id: ojphi-9880 author: Swatscheno, Janet Marie title: ojphi-9880 date: 2019-05-11 words: 444 flesch: 33 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e397, 2019 ISDS 2019 Conference Abstracts Malaria burden through routing reporting: Relationship between incidence estimates Simon P. Kigozi1, 2 1 Disease Control, London School of Hygiene & Tropical Medicine, Kampala, Uganda, 2 Infectious disease Research Collaboration, Kampala, Uganda Objective To evaluate the relationship between test positivity rate and test-confirmed malaria case rate both in time and space, to provide better understanding of the utility and representativeness of HMIS data for changing malaria burden in endemic settings. Pairwise relationships between TPR and CMCR showed good agreement over time, particularly for TPR’s below 50% and during low transmission seasons, but the relationship was complex at the village level. keywords: health; malaria cache: ojphi-9880.pdf plain text: ojphi-9880.txt item: #1451 of 1513 id: ojphi-9881 author: Swatscheno, Janet Marie title: ojphi-9881 date: 2019-05-16 words: 1269 flesch: 35 summary: NIOSH’s early experience with workplace absenteeism surveillance during the 2009–2010 H1N1 pandemic established that workplace absenteeism correlates well with the occurrence of influenza-like illness (ILI) and significant increases in absenteeism can signal concomitant peaks in disease activity. Absenteeism surveillance can provide an important supplementary measure of a pandemic’s overall impact because morbidity and mortality statistics may not fully reflect the disruption caused to the social and economic life of the community. keywords: absenteeism; health; surveillance; workers cache: ojphi-9881.pdf plain text: ojphi-9881.txt item: #1452 of 1513 id: ojphi-9882 author: Swatscheno, Janet Marie title: ojphi-9882 date: 2019-05-17 words: 945 flesch: 50 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e399, 2019 ISDS 2019 Conference Abstracts Neonatal tetanus surveillance in Bayelsa state of Nigeria: a five-year review Abisoye S. Oyeyemi, Hilda C. Afakwu, Esievoadje Akpofure, Luke E. Izibekien Community Medicine, Niger Delta University, Yenagoa, Bayelsa, Nigeria Objective To assess the performance of neonatal tetanus surveillance in Bayelsa state of Nigeria. These were the only two public facilities that had the capacity to manage NT cases in the state. keywords: cases; state; tetanus cache: ojphi-9882.pdf plain text: ojphi-9882.txt item: #1453 of 1513 id: ojphi-9883 author: Swatscheno, Janet Marie title: ojphi-9883 date: 2019-05-17 words: 783 flesch: 39 summary: The outcome of relative risk estimation with visual way and interactive maps showing are using ggplot2 and leaflet packages. China Objective The purpose is to propose a serial of approach for estimation for disease risk for ILI in small area and present the risk values by spatio-temporal disease mapping or an interactive visualization with HTML format. keywords: disease; estimation; risk cache: ojphi-9883.pdf plain text: ojphi-9883.txt item: #1454 of 1513 id: ojphi-9884 author: Swatscheno, Janet Marie title: ojphi-9884 date: 2019-05-17 words: 1346 flesch: 36 summary: Our study was thus developed in the continuity of this previous research to explore the variation of data reporting in relati on with the organisation of animal health surveillance actors of bovine production at the local level. We formulated the hypothesis that these other factors wer e related to the local governance of animal health surveillance data collection. keywords: actors; data; health; surveillance cache: ojphi-9884.pdf plain text: ojphi-9884.txt item: #1455 of 1513 id: ojphi-9885 author: Swatscheno, Janet Marie title: ojphi-9885 date: 2019-05-11 words: 1169 flesch: 31 summary: While the primary purpose of administrative health data is not for health surveillance, the EDC has recognized the rich source of health information which may be extracted from this data. Results Due to the pitfalls outlined, the EDC has developed powerful and robust methods to circumvent the issues of using administrative health data for near real- time clinical ancillary services based disease surveillance. keywords: data; edc; health; surveillance cache: ojphi-9885.pdf plain text: ojphi-9885.txt item: #1456 of 1513 id: ojphi-9886 author: Swatscheno, Janet Marie title: ojphi-9886 date: 2019-05-11 words: 1007 flesch: 32 summary: The agenda for the monthly calls included discussing data collection (i.e. number of cases classified), SME review of challenging cases, and utilization of education and project tools. ISSN 1947-2579 * http://ojphi.org * 11(1): e403, 2019 ISDS 2019 Conference Abstracts and Post project ASB treatment rates of 24%, representing a 37% decrease in ASB treatment for these sites. keywords: department; health; houston; project cache: ojphi-9886.pdf plain text: ojphi-9886.txt item: #1457 of 1513 id: ojphi-9887 author: Swatscheno, Janet Marie title: ojphi-9887 date: 2019-05-17 words: 1252 flesch: 42 summary: Syndromic surveillance system for detecting enterovirus outbreaks evaluation and applications in public health. However, the timeliness of data exchange and the number of monitored syndromic groups are limited. keywords: city; groups; health; surveillance; system cache: ojphi-9887.pdf plain text: ojphi-9887.txt item: #1458 of 1513 id: ojphi-9888 author: Swatscheno, Janet Marie title: ojphi-9888 date: 2019-05-20 words: 1257 flesch: 34 summary: In addition to back-end database and querying improvements, we suggested the development of an educational intervention based at Army First-Year Graduate Veterinary Education program (FYGVE) locations to emphasize the important benefits of capturing zoonotic diseases of interest correctly, early stages in t he clinical experience. Biosurveillance is a critical component of One Health initiatives including zoonotic disease mitigation and control. keywords: animals; disease; health; surveillance; zoonotic cache: ojphi-9888.pdf plain text: ojphi-9888.txt item: #1459 of 1513 id: ojphi-9889 author: Swatscheno, Janet Marie title: ojphi-9889 date: 2019-05-17 words: 1423 flesch: 42 summary: HCV infant exposure rates were calculated using the number of probable or confirmed HCV perinatal exposures divided by the total number of live births*1,000. 2. Develop new surveillance strategies for retrospective tracking of perinatal HCV exposures. keywords: birth; exposure; hcv; perinatal cache: ojphi-9889.pdf plain text: ojphi-9889.txt item: #1460 of 1513 id: ojphi-9890 author: Swatscheno, Janet Marie title: ojphi-9890 date: 2019-05-20 words: 1058 flesch: 39 summary: [2] [3] Methods Five years (2013-2017) of ERHG haemodialysis data were obtained from the haemodialysis infections national network surveillance (DIALIN). ISSN 1947-2579 * http://ojphi.org * 11(1): e407, 2019 ISDS 2019 Conference Abstracts Root-cause analysis of bacteraemia increase and surveillance data in hemodialysis Caroline POHL ep OUDIN, Patricia Sermande, Evelyne Lenormand, Johan Bardil, Ingrid Marianne East Reunion Hospital Group Objective To investigate the bacteraemia increase in haemodialysis sector based on data from specific dialysis nosocomial infections national network surveillance (DIALIN) and through an Association of Litigation and Risk Management protocol (ALARM). keywords: bacteraemia; dialin; erhg; risk cache: ojphi-9890.pdf plain text: ojphi-9890.txt item: #1461 of 1513 id: ojphi-9891 author: Swatscheno, Janet Marie title: ojphi-9891 date: 2019-05-11 words: 591 flesch: 41 summary: ISDS 2019 Conference Abstracts Seroprevalence and factors associated with seropositivity to Rift Valley fever virus in livestock Yusuf B. Ngoshe1, Lida Avenant1, MK Rostal2, Karesh B. William2, Janus T. Paweska3, Jansen van Vuren3, Claudia Cordel4, Veerle Msimang3, 1, Peter N. Thompson1 1 Epidemiology Section, Production Animal StudiesStudy, University of Pretoria, Pretoria, Gauteng, South Africa, 2 EcoHealth Alliance, NYC, New York, United States, 3 National Institute for Communicable Diseases, Pretoria, Gauteng, South Africa, 4 Execuvet, Bloemfontein, Free State, South Africa Objective The objective of this study was to estimate the prevalence of antibodies to RVFV in domestic cattle, sheep, and goats in a study area in the central interior of South Africa, and to identify factors associated with seropositivity. keywords: africa; factors; south cache: ojphi-9891.pdf plain text: ojphi-9891.txt item: #1462 of 1513 id: ojphi-9892 author: Swatscheno, Janet Marie title: ojphi-9892 date: 2019-05-17 words: 1254 flesch: 38 summary: This study aims to describe incidence over time, geographic and seasonal distribution, demographic and clinical characteristics of Lyme disease cases in Canada. ISSN 1947-2579 * http://ojphi.org * 11(1): e409, 2019 ISDS 2019 Conference Abstracts Figure 4: Percentage of clinical manifestations for Lyme disease infections acquired in Canada, 2009 -2015 (n=1,657) Table 1: 2009 national Lyme disease case definition Confirmed case Probable case Clinical evidence of illness with laboratory confirmation: Clinical evidence of illness without a history of residence in or visit to an endemic area keywords: canada; disease; health; lyme cache: ojphi-9892.pdf plain text: ojphi-9892.txt item: #1463 of 1513 id: ojphi-9893 author: Swatscheno, Janet Marie title: ojphi-9893 date: 2019-05-17 words: 733 flesch: 37 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e410, 2019 ISDS 2019 Conference Abstracts Surveillance of Respiratory Viruses in Long Term Care Facilities Mary M. Checovich1, Shari Barlow1, Peter Shult2, Erik Reisdorf2, Jonathan L. Temte1 1 Family Medicine & Community Health, University of Wisconsin-Madison, Madison, Wisconsin, United States, 2 Wisconsin State Laboratory of Hygiene, Madison, Wisconsin, United States Objective To assess the feasibility of conducting respiratory virus surveillance for residents of long term care facilities (LTCF) using simple nasal swab specimens and to describe the virology of acute respiratory infections (ARI) in LCTFs. Simple approaches to surveillance may provide a more comprehensive assessment of respiratory viruses in LTCF settings. keywords: influenza; respiratory; viruses; wisconsin cache: ojphi-9893.pdf plain text: ojphi-9893.txt item: #1464 of 1513 id: ojphi-9894 author: Swatscheno, Janet Marie title: ojphi-9894 date: 2019-05-11 words: 538 flesch: 50 summary: Conclusions In this research, we discovered that O. sawaii are habitat in west and southern part of uninhabited islands to breeding place of black-tailed gulls and streaked shearwater and O. capensis are habitat in uninhabited islands related to breeding place of streaked shearwater. ISSN 1947-2579 * http://ojphi.org * 11(1): e411, 2019 ISDS 2019 Conference Abstracts Survey of Tick-borne-disease from Ornithodoros spp. keywords: islands; ornithodoros; spp cache: ojphi-9894.pdf plain text: ojphi-9894.txt item: #1465 of 1513 id: ojphi-9895 author: Swatscheno, Janet Marie title: ojphi-9895 date: 2019-05-17 words: 1304 flesch: 43 summary: Subsequently, visits categorized as IDU, HIV, and meeting both IDU and HIV syndrome definitions (IDU+HIV) were stratified by homelessness. ISSN 1947-2579 * http://ojphi.org * 11(1): e412, 2019 ISDS 2019 Conference Abstracts Syndrome Development to Assess IDU, HIV, and Homelessness in MA Emergency Departments Stefanie P. Albert, Rosa Ergas, Sita Smith, Gillian Haney, Monina Klevens Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, United States Objective We sought to measure the burden of emergency department (ED) visits associated with injection drug use (IDU), HIV infection, and homelessness; and the intersection of homelessness with IDU and HIV infection in Massachusetts via syndromic surveillance data. keywords: hiv; idu; massachusetts; visits cache: ojphi-9895.pdf plain text: ojphi-9895.txt item: #1466 of 1513 id: ojphi-9896 author: Swatscheno, Janet Marie title: ojphi-9896 date: 2019-05-20 words: 1217 flesch: 43 summary: Methods To support surveillance and timeliness of synthetic cannabinoids reporting, we developed a case definition by conducting key word searches to identify terms/phrases used by providers in Maryland ED’s to document synthetic cannabinoid visits. Outbreak of life-threatening coagulopathy associated with synthetic cannabinoids use. keywords: cannabinoid; synthetic; visits cache: ojphi-9896.pdf plain text: ojphi-9896.txt item: #1467 of 1513 id: ojphi-9897 author: Swatscheno, Janet Marie title: ojphi-9897 date: 2019-05-17 words: 1302 flesch: 35 summary: As the quality of infectious diseases surveillance has been improved stepwisely, the national morbidity of class A and B notifiable disease decreased from 7157.5 per 100,000 in 1970 to 225.8 per 100,000 in 2013, and the mortality decreased from 56.0 per 100,000 in 1959 to 1.2 per 100,000 in 2013 [ 2]. In addition, the law clarified the establishment of infectious disease surveillance system, the specific duties and tasks of the administrative department of public health and healthcare technology institutions in the infectious disease surveillance (Figure 1). keywords: china; diseases; reporting; surveillance cache: ojphi-9897.pdf plain text: ojphi-9897.txt item: #1468 of 1513 id: ojphi-9899 author: Swatscheno, Janet Marie title: ojphi-9899 date: 2019-05-18 words: 1253 flesch: 37 summary: Over the last half- century, the proportion of infectious diseases in the mortality structure of the population of Ukraine demonstrated a decreasing tendency, while non-infectious disease mortality had an opposite trend, which can be explained by epidemiological transition (Omran AR, 1971). The aim of our work is to determine the main trends and structure in infectious disease mortality in Ukraine over the last 50 years. keywords: diseases; mortality; ukraine cache: ojphi-9899.pdf plain text: ojphi-9899.txt item: #1469 of 1513 id: ojphi-9900 author: Swatscheno, Janet Marie title: ojphi-9900 date: 2019-05-11 words: 538 flesch: 42 summary: Introduction Surveillance of severe influenza infections is lacking in the Netherlands. Conclusions Our results demonstrate the potential usefulness of ambulance dispatch data to complement existing influenza surveillance by providing information on the volume and timing of severe cases attributable to influenza within the yearly epidemics. keywords: calls; influenza; netherlands cache: ojphi-9900.pdf plain text: ojphi-9900.txt item: #1470 of 1513 id: ojphi-9901 author: Swatscheno, Janet Marie title: ojphi-9901 date: 2019-05-11 words: 1263 flesch: 31 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e417, 2019 ISDS 2019 Conference Abstracts Using Syndromic Surveillance Data to Aid Public Health Actions in Tennessee Caleb Wiedeman1, Kevin Morris1, Cassandra Jones1, Marisa Hopper Hopper2, Paul E. Petersen1 1 Tennessee Department of Health, Nashville, Tennessee, United States, 2 Shelby County Health Department, Memphis, Tennessee, United States Objective To demonstrate the utility of syndromic surveillance data in aiding public health actions and response acros s multiple investigations in Tennessee. The timeliness of syndromic surveillance data allow for rapid estimates of impact in emergency department populations. keywords: health; surveillance; tennessee cache: ojphi-9901.pdf plain text: ojphi-9901.txt item: #1471 of 1513 id: ojphi-9902 author: Swatscheno, Janet Marie title: ojphi-9902 date: 2019-05-18 words: 819 flesch: 35 summary: After the event, Oregon ESSENCE staff reconciled syndromic surveillance visit data with water test data, health advisory status, and media coverage to characterize how messaging may have affected healthcare seeking behavior. ISSN 1947-2579 * http://ojphi.org * 11(1): e418, 2019 ISDS 2019 Conference Abstracts Using syndromic surveillance to monitor response to cyanotoxin contamination event Kelly E. Cogswell Acute and Communicable Disease Prevention, Oregon Health Authority, Portland, Oregon, United States Objective Examine healthcare seeking behavior in a population exposed to low levels of cyanotoxins in the public drinking water supply and quantify how publicity of the event may have affected perceptions of risk in the affected population. keywords: drinking; health; water cache: ojphi-9902.pdf plain text: ojphi-9902.txt item: #1472 of 1513 id: ojphi-9903 author: Swatscheno, Janet Marie title: ojphi-9903 date: 2019-05-22 words: 915 flesch: 35 summary: We assessed the accuracy of the surveillance-based definition by calculating sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) by applying the definition to the test data of people participating in two DOHMH programs that included clinical information on treatment eligibility: the Enhanced Surveillance Project (provider interviews conducted for 300 randomly selected patients with chronic HBV) and the Check Hep B Patient Navigation Program (program providing HBV- related patient navigation at community organizations, health centers, and hospitals). Using reportable HBV tests, treatment eligibility was defined as ever having an HBV DNA result >2000 IU/mL and ALT>40 U/L. keywords: hbv; surveillance cache: ojphi-9903.pdf plain text: ojphi-9903.txt item: #1473 of 1513 id: ojphi-9904 author: Swatscheno, Janet Marie title: ojphi-9904 date: 2019-05-18 words: 1389 flesch: 44 summary: Poliovirus detection in wastewater and stools following an immunization campaign in Havana.vInternational. RD and L20B cell lines are useful for poliovirus isolation from sewage keywords: enteroviruses; health; polioviruses; sewage; ukraine; wastewater cache: ojphi-9904.pdf plain text: ojphi-9904.txt item: #1474 of 1513 id: ojphi-9905 author: Swatscheno, Janet Marie title: ojphi-9905 date: 2019-05-11 words: 947 flesch: 37 summary: The number of cold weather related ED visits were then plotted against the daily minimum temperature in Louisiana. The number of cold weather related ED visits went above 6.1 visits on the following occasions: December 9 th had 7 visits and an average minimum temperature of 25.9 °F and January 17th-18th had 37 and 18 visits, respectively, with respective average minimum temperatures of 12.5 °F and 16.1 °F. keywords: louisiana; visits; weather cache: ojphi-9905.pdf plain text: ojphi-9905.txt item: #1475 of 1513 id: ojphi-9906 author: Swatscheno, Janet Marie title: ojphi-9906 date: 2019-05-11 words: 1062 flesch: 39 summary: This may reflect deliberate polysubstance use among adolescents using prescription opioids nonmedically, but should also be considered in the context of stable prevalence of reported heroin use in YRBS and the National Survey on Drug Use and Health. Such high prevalence, along with the evolving epidemiology of the drug overdose epidemic as well as the association between NUPO and heroin use, signal that NUPO in adolescents is still an important issue. keywords: heroin; opioids; use cache: ojphi-9906.pdf plain text: ojphi-9906.txt item: #1476 of 1513 id: ojphi-9907 author: Swatscheno, Janet Marie title: ojphi-9907 date: 2019-05-18 words: 1002 flesch: 39 summary: This work assessed data sources utilized for county overdose surveillance and provided recommendations to improve overdose surveillance. Results The assessment of data sources and utilization showed variation of data entry at the hospital level, limited identifiers in some cases, and varying timeliness ranges which may limit combined use of many data sources. keywords: data; health; overdose; public; surveillance cache: ojphi-9907.pdf plain text: ojphi-9907.txt item: #1477 of 1513 id: ojphi-9908 author: Swatscheno, Janet Marie title: ojphi-9908 date: 2019-05-18 words: 1331 flesch: 43 summary: Accurately documenting substances involved in drug overdose deaths has been of increasing interest to Marion County and Indiana with a recent law requiring toxicology testing [5,6]. Based on ICD10 drug overdose coding 293 (34.5%) individuals had drug overdose deaths, with 161 (18.9%) having X44 (accidental poisoning by other and unspecified drugs) and 112 (13.2%) having X42 (accidental poisoning by narcotics and psychodysleptics). keywords: death; ems; naloxone; overdose cache: ojphi-9908.pdf plain text: ojphi-9908.txt item: #1478 of 1513 id: ojphi-9909 author: Swatscheno, Janet Marie title: ojphi-9909 date: 2019-05-11 words: 644 flesch: 45 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e425, 2019 ISDS 2019 Conference Abstracts Analysis of Emergency Department Visits for Motor Vehicle Injuries in Utah, 2016 Akanksha Acharya Bureau of Epidemiology, Utah Department of Health, Salt Lake City, Utah, United States Objective To describe the characteristics of emergency department (ED) visits for motor vehicle injuries in Utah using 2016 syndromic surveillance data. Currently; there are no data sources other than syndromic data in the Utah Department of Health to monitor ED visits due to motor vehicle injuries in real time. keywords: motor; vehicle cache: ojphi-9909.pdf plain text: ojphi-9909.txt item: #1479 of 1513 id: ojphi-9910 author: Swatscheno, Janet Marie title: ojphi-9910 date: 2019-05-11 words: 1160 flesch: 33 summary: Methods By analyzing historical OHA data, we formed features to monitor in each data source to adapt diagnosis codes and text strings suggested by CDC’s injury prevention division, published EMS criteria Conclusions The detection results were promising for a threat scenario of particular concern to OHA based on a data scenario deemed plausible and realistic based on historical data. keywords: data; days; event; fusion; health cache: ojphi-9910.pdf plain text: ojphi-9910.txt item: #1480 of 1513 id: ojphi-9914 author: Swatscheno, Janet Marie title: ojphi-9914 date: 2019-05-11 words: 1373 flesch: 43 summary: MNDOSA reports, November 2017 – August 24, 2018 Number of ED visits reported 963 Deceased <1% Hospitalized 23% Atypical clinical presentation 6% Male Female Number of MNDOSA reports, % of all reports 68% 32%* Age Median age 34 33 Age range 14-70 13-80 Race, % by gender, non-exclusive categories Black 39% 19%* White 37% 38% American Indian/Alaska Native 11% 25%* Asian, Native Hawaiian/Pacific Islander 1% 5%* Other race 4% 2% Unknown or missing race 9% 12% Hospitalized, % 22% 27% * keywords: health; mndosa; substances; use cache: ojphi-9914.pdf plain text: ojphi-9914.txt item: #1481 of 1513 id: ojphi-9915 author: Swatscheno, Janet Marie title: ojphi-9915 date: 2019-05-11 words: 569 flesch: 48 summary: To determine the prevalence and pattern of unintentional injuries among children 2. To study the physical environment of house for various risk factors leading to unintentional injuries. keywords: children; injuries cache: ojphi-9915.pdf plain text: ojphi-9915.txt item: #1482 of 1513 id: ojphi-9916 author: Swatscheno, Janet Marie title: ojphi-9916 date: 2019-05-11 words: 587 flesch: 46 summary: Results Between 2013 and 2017, drug overdose mortality rates for whites increased from 17.05 to 27.28 per 100,000. ISSN 1947-2579 * http://ojphi.org * 11(1): e429, 2019 ISDS 2019 Conference Abstracts Drug Overdose Trends among Black Indiana Residents: 2013-2017 Raven Helmick Trauma and Injury Prevention, Indiana State Department of Health, Indianapolis, Indiana, United States Objective To understand trends in race-specific mortality rates between blacks and whites to discover any racial inequalities that might exist for drug overdose deaths. keywords: drug; overdose cache: ojphi-9916.pdf plain text: ojphi-9916.txt item: #1483 of 1513 id: ojphi-9917 author: Swatscheno, Janet Marie title: ojphi-9917 date: 2019-05-18 words: 835 flesch: 35 summary: Results Statewide trends in EMS heroin overdoses with refusal transport significantly increased from 5% (n=42) in 2016 quarter three to 22% (n=290) in 2018 quarter two (Fig 1). The aim of this project was to explore changing patterns in patient refusal to transport by emergency medical services for classified heroin overdoses and possible implications on heroin overdose surveillance in Kentucky. keywords: data; heroin; kentucky cache: ojphi-9917.pdf plain text: ojphi-9917.txt item: #1484 of 1513 id: ojphi-9918 author: Swatscheno, Janet Marie title: ojphi-9918 date: 2019-05-19 words: 926 flesch: 48 summary: Quarterly, that is around 6.00-7.64 opioid overdose ED visits for every 10,000 ED visits (Table 1), with about half those (3.09-4.30 ED visits) being heroin overdose ED visits. ISSN 1947-2579 * http://ojphi.org * 11(1): e431, 2019 ISDS 2019 Conference Abstracts Enhanced Surveillance of Nonfatal Emergency Department Opioid Overdoses in California Natalie Demeter, Jaynia A. Anderson, Mar-y-sol Pasquires, Stephen Wirtz California Department of Public Health, Sacramento, California, United States Objective To track and monitor nonfatal emergency department opioid overdoses in California for use in the statewide response in the opioid epidemic. keywords: opioid; visits cache: ojphi-9918.pdf plain text: ojphi-9918.txt item: #1485 of 1513 id: ojphi-9919 author: Swatscheno, Janet Marie title: ojphi-9919 date: 2019-05-20 words: 698 flesch: 46 summary: DSHS already receives TPC data from the Commission on State Emergency Communication (CSEC), hence copying and routing that data into TxS2 requires a Memorandum of Understanding (MOU) with CSEC, which is charged with administering the implementation of the Texas Poison Control Network. This effort has led to discussions on how different sections within DSHS can collaborate by using syndromic surveillance data, and has generated interest in incorporating additional data streams into TxS2 in the future. keywords: data; health; surveillance cache: ojphi-9919.pdf plain text: ojphi-9919.txt item: #1486 of 1513 id: ojphi-9920 author: Swatscheno, Janet Marie title: ojphi-9920 date: 2019-05-19 words: 931 flesch: 42 summary: The project determined the validity of the syndromic surveillance definition as applied to chief complaint and triage notes and compared the chief complaint data alone to chief complaint plus triage notes definitions to find the most reliable definition for ED visits resulting from fall-related injuries. PubMed Number of falls detected by the ESSENCE “Chief Complaint Only” Falls Definition and the Gold Standard Chart Review Detected by ESSENCE Fall related visits Non-fall related visits Tot al keywords: complaint; falls; visits cache: ojphi-9920.pdf plain text: ojphi-9920.txt item: #1487 of 1513 id: ojphi-9921 author: Swatscheno, Janet Marie title: ojphi-9921 date: 2019-05-19 words: 1213 flesch: 45 summary: Although the linkage study used data obtained from only a single Level I Trauma Center and primarily a single facility in NC DETECT, we felt that the results of this limited linkage study were generalizable to statewide NC DETECT ED visit data. For example, 47.5% of NC DETECT ED visits that linked to a pedestrian/bicycle crash record in the Trauma Center data, were missing an ICD-10-CM injury mechanism code of any category. keywords: bicycle; injury; pedestrian cache: ojphi-9921.pdf plain text: ojphi-9921.txt item: #1488 of 1513 id: ojphi-9922 author: Swatscheno, Janet Marie title: ojphi-9922 date: 2019-05-20 words: 882 flesch: 49 summary: This continues the trend from 2016, which saw an increase of over 30% in opioid overdose deaths compared to 2015. Opioid overdose deaths are identified through death certificates which are collected through the vital records system. keywords: health; records cache: ojphi-9922.pdf plain text: ojphi-9922.txt item: #1489 of 1513 id: ojphi-9923 author: Swatscheno, Janet Marie title: ojphi-9923 date: 2019-05-20 words: 1417 flesch: 49 summary: Prior to Death, North Carolina, 1/1/2014-9/30/2015 Total Suicide Population Suicides with ED visit within 48 hours of death (a) Suicides with additional ED visits in year prior to death (b) Population N = 2953 406 122 Age Mean 47.8 47.5 50.9 Sex (%) For all NC-VDRS suicides, we identified ED visits likely made by the same individual within the 48 hours prior to death. keywords: death; suicide cache: ojphi-9923.pdf plain text: ojphi-9923.txt item: #1490 of 1513 id: ojphi-9924 author: Swatscheno, Janet Marie title: ojphi-9924 date: 2019-05-20 words: 1327 flesch: 48 summary: Methods The process to improve identification and assessment of HRI cases among Pinal residents included the use of the National Syndromic Surveillance Program’s (NSSP) ESSENCE for case identification, and Qualtrics survey software to collect additional information from confirmed cases regarding their heat exposure. Preliminary findings for confirmed cases from May 1st to July 31st show that the majority of HRI cases in Pinal County are Non- Hispanic White (61.2%), male (75.7%), and range in age from 20- 59 years (71.8%). keywords: cases; county; heat; hri; pinal cache: ojphi-9924.pdf plain text: ojphi-9924.txt item: #1491 of 1513 id: ojphi-9925 author: Swatscheno, Janet Marie title: ojphi-9925 date: 2019-05-20 words: 1344 flesch: 44 summary: Introduction Using death certificates alone to identify contributing substances in drug overdose deaths may result in misclassification and underestimation of the burden of illicit and prescription opioids and other drugs in drug-related deaths. Underrepresentation of heroin involvement in unintentional drug overdose deaths in Allegheny County, PA. keywords: deaths; drugs; opioid; overdose; toxicology cache: ojphi-9925.pdf plain text: ojphi-9925.txt item: #1492 of 1513 id: ojphi-9926 author: Swatscheno, Janet Marie title: ojphi-9926 date: 2019-05-20 words: 1211 flesch: 42 summary: Methods Using the National Syndromic Surveillance Program (NSSP) Electronic Surveillance System for Early Notification of Community- based Epidemics (ESSENCE) platform, staff from the Rapid Health Information Network (RHINO) program at the Washington State Department of Health created a syndrome definition for sexual violence in emergency department data using a combination of ICD-10 diagnostic codes and chief complaint terms likely to be used for sexual violence visits. ISSN 1947-2579 * http://ojphi.org * 11(1): e439, 2019 ISDS 2019 Conference Abstracts Monitoring Sexual Violence Visits in Emergency Department Data to Improve Public Health Amanda D. Morse, Kirstin McFarland, Natasha Close Office of Communicable Disease Epidemiology, Washington State Department of Health, Shoreline, Washington, United States Objective To describe characteristics of sexual violence emergency department visits in Washington State. keywords: data; health; violence; visits cache: ojphi-9926.pdf plain text: ojphi-9926.txt item: #1493 of 1513 id: ojphi-9927 author: Swatscheno, Janet Marie title: ojphi-9927 date: 2019-05-20 words: 1138 flesch: 47 summary: As shown in Figure 1, all U.S. regions, except for the Southwest region, experienced significant increases in SI or SA ED visits from Jan uary 2016 to July 2018. Therefore, this investigation aimed to monitor ED visits for SI or SA and to identify temporal, demographic, and geographic patterns using data from CDC’s National Syndromic Surveillance Program (NSSP). keywords: suicide; visits cache: ojphi-9927.pdf plain text: ojphi-9927.txt item: #1494 of 1513 id: ojphi-9928 author: Swatscheno, Janet Marie title: ojphi-9928 date: 2019-05-20 words: 1156 flesch: 56 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e441, 2019 ISDS 2019 Conference Abstracts Opioid Seizures by Law Enforcement in Relation to Emergency Room Visits Tanner Turley, Evan Mobley, Andrew Hunter Health & Senior Services, State of Missouri, Jefferson City, Missouri, United States Objective To evaluate the relationship between heroin and non-heroin opioid seizures reported by law enforcement and the number of ER visits due to heroin and non-heroin opioid poisoning in selected counties in Missouri. In Missouri, ER visits follow similar trends with heroin overdose visits greatly increasing after 2011. keywords: county; drug; heroin; visits cache: ojphi-9928.pdf plain text: ojphi-9928.txt item: #1495 of 1513 id: ojphi-9929 author: Swatscheno, Janet Marie title: ojphi-9929 date: 2019-05-20 words: 1013 flesch: 41 summary: Even though such gatherings are accumulations of well people, vast number of people associated with mass gatherings can put a serious strain on the entire health care system [1].The public health implications of mass gathering events include a potential increased risk for disease transmission because of the variability and mobility of those attending the event and increased media attention. Risk assessment for mass gathering events is crucial to identify the poten tial health hazards which aids in planning and response activities specific to the event [2]. keywords: gathering; health; mass; tool cache: ojphi-9929.pdf plain text: ojphi-9929.txt item: #1496 of 1513 id: ojphi-9930 author: Swatscheno, Janet Marie title: ojphi-9930 date: 2019-05-11 words: 888 flesch: 43 summary: ISSN 1947-2579 * http://ojphi.org * 11(1): e443, 2019 ISDS 2019 Conference Abstracts Surveilling Non-Opioid Substance Use: Utilizing Multiple Data Sources in Marion County, Indiana Brittany K. Yarnell, James M. Groh Epidemiology, Marion County Public Health Department, Indianapolis, Indiana, United States Objective To assess the prevalence of non-opioid substance use—including cocaine, methamphetamine and “spice”—within Marion County, Indiana and propose response recommendations utilizing a current opioid response plan. Direct health concerns of non-opioid substance use include anxiety, paranoia, seizure, heart attack, stroke, and potentially death while indirect health concerns include the acquisition of disease and infections, particularly sexually transmitted infections (STIs). keywords: methamphetamine; substance cache: ojphi-9930.pdf plain text: ojphi-9930.txt item: #1497 of 1513 id: ojphi-9931 author: Swatscheno, Janet Marie title: ojphi-9931 date: 2019-05-20 words: 388 flesch: 49 summary: Nigeria accounts for an estimated 15% of RTC deaths in the WHO African Region. The same proportion was also found for RTC deaths and for injuries. keywords: rtc; rtcs cache: ojphi-9931.pdf plain text: ojphi-9931.txt item: #1498 of 1513 id: ojphi-9932 author: Swatscheno, Janet Marie title: ojphi-9932 date: 2019-05-20 words: 1297 flesch: 43 summary: The Naloxone Recipient Form (NRF) system, launched January 1, 2018, primarily employs a short paper form (or NRF) to collect dispensing data. As new organizations have registered as OOPPs, particularly large health care or human services systems, DOHMH has developed new methods for incorporating dispensing data into the NRF system. keywords: data; dispensing; naloxone; system cache: ojphi-9932.pdf plain text: ojphi-9932.txt item: #1499 of 1513 id: ojphi-9935 author: Swatscheno, Janet Marie title: ojphi-9935 date: 2019-05-20 words: 1298 flesch: 50 summary: The majority of opioid overdose outbreaks occurred during October 2016 to March 2017 were concentrated in Ohio, a state reporting extremely large increase in IMF supply and overdose deaths involving fentanyl, a nd states contiguous with Ohio. Although most subregions reported outbreaks at the beginning of the study period, higher opioid overdose rates persisted in the vast majority of subregions reporting opioid overdose outbreaks. keywords: opioid; overdose cache: ojphi-9935.pdf plain text: ojphi-9935.txt item: #1500 of 1513 id: ojphi-9936 author: Swatscheno, Janet Marie title: ojphi-9936 date: 2019-05-20 words: 1400 flesch: 47 summary: Research has demonstrated that suicide contagion is a real phenomenon [3]. 13 Reasons Why is a Netflix series focused on social, school, and family-related challenges experienced by a high school sophomore; each episode in the 13-episode series describes a problem faced by the main character, which she indicates contributed to her decision to die by suicide. Regardless of the underlying mechanism, entertainment content creators may consider referring to the Recommendations for Reporting on Suicide (www.reportingonsuicide.org), which can help reduce the risk of suicide among vulnerable individuals and avoid contributing to suicide contagion while promoting suicide prevention messages. keywords: data; suicide; trends cache: ojphi-9936.pdf plain text: ojphi-9936.txt item: #1501 of 1513 id: ojphi-9937 author: Swatscheno, Janet Marie title: ojphi-9937 date: 2019-05-11 words: 1035 flesch: 47 summary: An epidemic curve was constructed to display the number of ED visits and type (i.e. primary visit or repeat visit) captured by REDCap only, ESSENCE only or both by visit date. The mean number of ESSENCE ED visits per case was 1.9 visits and the median was one visit (range: 1–11 visits). keywords: cases; visits cache: ojphi-9937.pdf plain text: ojphi-9937.txt item: #1502 of 1513 id: ojphi-9938 author: Swatscheno, Janet Marie title: ojphi-9938 date: 2019-05-20 words: 1296 flesch: 47 summary: Prescription opioid overdose deaths are concentrated among older ages showing highest rates among 55 to 59 year olds (8.27/100,000). Fentanyl overdose death rates have increased by 320% from 0.25/100,000 in 2011 to 1.05/100,000 in 2017. keywords: california; opioid; overdose cache: ojphi-9938.pdf plain text: ojphi-9938.txt item: #1503 of 1513 id: ojphi-9939 author: Swatscheno, Janet Marie title: ojphi-9939 date: 2019-05-20 words: 1525 flesch: 54 summary: Introduction West Virginia continues to lead the nation in drug overdose deaths per capita. As part of a rapid response plan to help reduce the burden of overdose deaths, the West Virginia Department of Health and Human Resources conducted an investigative report to study 830 overdose related deaths that occurred in 2016 and identify opportunities for intervention in the 12 months prior to death. keywords: death; decedents; ems; overdose cache: ojphi-9939.pdf plain text: ojphi-9939.txt item: #1504 of 1513 id: ojphi-9940 author: Swatscheno, Janet Marie title: ojphi-9940 date: 2019-05-20 words: 1216 flesch: 41 summary: CO poisoning cases peaked on September 12 (within two days of hurricane landfall) and decreased by September 16, as power was restored. Reports of CO poisoning exposures were investigated by collecting medical records and conducting interviews using an expanded risk factor questionnaire keywords: data; florida; health cache: ojphi-9940.pdf plain text: ojphi-9940.txt item: #1505 of 1513 id: ojphi-9942 author: Swatscheno, Janet Marie title: ojphi-9942 date: 2019-04-04 words: 1034 flesch: 56 summary: Similarly, the false alarm rates are larger for Hotelling T2 statistic compared to the EWMA and the CUSUM: false alarms are rare with both the EWMA and the CUSUM statistics with EWMA statistic having a slight edge. Simulation results provide convincing evidence that the EWMA and the CUSUM are considerably speedier in detecting outbreaks compared to Hotelling T2 statistic: compared to the CUSUM, the EWMA is relatively faster. keywords: control; data; statistic cache: ojphi-9942.pdf plain text: ojphi-9942.txt item: #1506 of 1513 id: ojphi-9943 author: Swatscheno, Janet Marie title: ojphi-9943 date: 2019-04-19 words: 1298 flesch: 48 summary: Over the 4 years of data to which the threshold was applied, percent of HFMD visits crossed the threshold in 2016 and 2018, indicating both years experienced high intensity HFMD seasons (Fig. 1). Correlation analyses were performed on weekly dew point temperatures and weekly percent of HFMD visits. keywords: hfmd; percent; visits; year cache: ojphi-9943.pdf plain text: ojphi-9943.txt item: #1507 of 1513 id: ojphi-9944 author: Swatscheno, Janet Marie title: ojphi-9944 date: 2019-05-08 words: 1356 flesch: 51 summary: AFP surveillance is meant to be applicable to any human population at any time; however, there are situations in which there are good reasons to suspect that negative results of AFP surveillance are not reliable. Conclusions The polio virus (VDPV) isolation from ES in this review is higher than in AFP surveillance. keywords: afp; polio; samples; surveillance cache: ojphi-9944.pdf plain text: ojphi-9944.txt item: #1508 of 1513 id: ojphi-9945 author: Swatscheno, Janet Marie title: ojphi-9945 date: 2019-05-13 words: 911 flesch: 42 summary: We estimated the prevalence of hepatitis C testing for adults in the US during the study period from 2013 to 2017. The R statistical software (R Core Team, 2018) was used to estimate weighted prevalence estimates for hepatitis C testing. keywords: hepatitis; testing cache: ojphi-9945.pdf plain text: ojphi-9945.txt item: #1509 of 1513 id: ojphi-9946 author: Swatscheno, Janet Marie title: ojphi-9946 date: 2019-05-08 words: 905 flesch: 42 summary: We can conclude that the use of new technol ogies to determine the early onset of treatment for Spotted Fever suspected cases based on the origin of the patients treated in the region of GVE7 can determine the success in the evolution of these cases. Methods The spatial distribution of confirmed Spotted Fever cases was performed in the region of the seven municipalities inserted into GVE7, using the Information System of Notifiable Diseases (SINAN) database and Google Maps online tool, and determining clusters of disease incidence. keywords: cases; code; conference; fever cache: ojphi-9946.pdf plain text: ojphi-9946.txt item: #1510 of 1513 id: ojphi-9947 author: Swatscheno, Janet Marie title: ojphi-9947 date: 2019-05-15 words: 1238 flesch: 44 summary: In the cases where the results were documented, it was thought to be a false positive or cross reactivity, related to recent receipt of HAV vaccination, or prolonged persistence of HAV IgM from a prior infection. ISSN 1947-2579 * http://ojphi.org * 11(1): e372, 2019 ISDS 2019 Conference Abstracts Conclusions Occurrence of acute HAV infections among Veterans during October 2016 – June 2018 followed patterns reported by states with outbreaks during the same time frame, including high hospitalization rates. keywords: acute; hav; hepatitis; outbreak cache: ojphi-9947.pdf plain text: ojphi-9947.txt item: #1511 of 1513 id: ojphi-9952 author: Sandy Katz title: ojphi-9952 date: 2019-09-18 words: 5832 flesch: 57 summary: This paper extends our previous work [8] by using a more sophisticated model of non-influenza influenza-like illness (NIILI), modeling a probability distribution over influenza outbreak start dates, and testing on a set of real outbreak data collected over five years at two locations widely separated in the United States. Further work with ODS, or similar systems, needs to be based on outbreak models that can describe multiple, overlapping outbreaks of influenza. keywords: day; health; influenza; informatics; model; niili; outbreak; peak; probability; public; system; 𝐷𝑎𝑦 cache: ojphi-9952.pdf plain text: ojphi-9952.txt item: #1512 of 1513 id: ojphi-9956 author: Kubalalika title: ojphi-9956 date: 2019-09-16 words: 4522 flesch: 55 summary: ̴̴Then ̴̴the ̴̴other ̴̴column ̴̴“SP” ̴̴ means that out of those who got vaccinated, how many received IPTi-SP.Below is the enrollment coverage chart for children who received SP-IPTi per dosage; Fig 1: Coverage of SP-IPTi per dose The above chart shows coverage for each IPTi dosage given (1-3) which shows that there were more children that received IPTi1 at 43% i.e. (6,495, of the total 15,105 children who were enrolled) that was concurrently given with Pentavalent 2 vaccine (at 10 weeks) than the other two IPTi doses. Parents/caregivers were supposed to check/tick in the boxes next to pictures which corresponded to symptoms children showed and then they were indicating the starting and finishing dates of such symptoms. keywords: case; children; health; ipti; malaria; pharmacovigilance; symptoms cache: ojphi-9956.pdf plain text: ojphi-9956.txt item: #1513 of 1513 id: ojphi-9998 author: Journal name - tbd title: ojphi-9998 date: 2019-09-16 words: 6444 flesch: 51 summary: More than half of physicians surveyed agreed that health care chatbots could help patients better manage their own health (54%), improve access and timeliness to care (53%), or reduce travel time to their health care provider (52%). A majority of the physicians (70%) expressed their concern of risks associated with health care chatbots for patients. keywords: amazon; application; aws; bots; care; chatbot; end; feasibility; health; health research; journal; lex; potential; research; technology; use cache: ojphi-9998.pdf plain text: ojphi-9998.txt