item: #1 of 26 id: cord-018632-azrqz6hf author: Ganasegeran, Kurubaran title: Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics date: 2019-11-21 words: 4314 flesch: 34 summary: Based on the required functions, these concepts are clumped together to automate a single application-such as tracking infectious disease health seeking behavior. Such adaptations formed two conceptualizations: the first was Infodemiology, defined as the science of distribution and determinants of information in an electronic medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy [23] ; the second was Infoveillance, defined as the longitudinal tracking of infodemiology metrics for surveillance and trend analysis [24] . keywords: behavior; data; disease; epidemics; health; human; information; intelligence; population; researchers; systems cache: cord-018632-azrqz6hf.txt plain text: cord-018632-azrqz6hf.txt item: #2 of 26 id: cord-018688-gvk9uazp author: Magid, Avi title: The Role of Informal Digital Surveillance Systems Before, During and After Infectious Disease Outbreaks: A Critical Analysis date: 2018-03-23 words: 4374 flesch: 41 summary: A literature review was carried out to compare informal digital systems with regards to their source of information, the manner in which they process and disseminate the information, their role in each phase of an epidemic, and whether and to what extent these systems are capable of early detection of epidemics. Assessment of correlation between Healthmap reports and official government reports reported during the first 100 day of the 2010 Haitian Cholera outbreak has confirmed that data yielded from informal digital systems were well correlated with data officially reported from the Haitian health authorities. keywords: detection; disease; health; information; outbreak; reports; surveillance; systems cache: cord-018688-gvk9uazp.txt plain text: cord-018688-gvk9uazp.txt item: #3 of 26 id: cord-021088-9u3kn9ge author: Huberty, Mark title: Awaiting the Second Big Data Revolution: From Digital Noise to Value Creation date: 2015-02-18 words: 7305 flesch: 57 summary: To date, big data has not achieved this distinction. Big data, despite protests to the contrary, is thus an incremental change-and its revolution one of degree, not kind. keywords: behavior; business; data; flu; google; models; online; people; products; revolution; services; today; value; world cache: cord-021088-9u3kn9ge.txt plain text: cord-021088-9u3kn9ge.txt item: #4 of 26 id: cord-120442-qfgoue67 author: Zaman, Anis title: The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States during COVID-19: Observational Study date: 2020-09-05 words: 5880 flesch: 42 summary: On one hand, online engagements can cause fluctuations in mental health. It has been widely applied in researches involving social media and mental health. keywords: anxiety; behavior; covid-19; data; google; group; health; outbreak; pandemic; search; study; youtube cache: cord-120442-qfgoue67.txt plain text: cord-120442-qfgoue67.txt item: #5 of 26 id: cord-193136-7g6qr73e author: Bhattacharya, Sujit title: Visible Insights of the Invisible Pandemic: A Scientometric, Altmetric and Topic Trend Analysis date: 2020-04-22 words: 5021 flesch: 53 summary: The number of research papers, clinical trials at different phases within such a short period is unprecedented and shows the intensive efforts of the global research community to understand the different aspects of this disease and address it. The present study is motivated by this and applies tools and techniques of scientometrics to uncover insights from research papers. keywords: covid-19; disease; google; papers; research; study; trends; virus cache: cord-193136-7g6qr73e.txt plain text: cord-193136-7g6qr73e.txt item: #6 of 26 id: cord-232959-jcnvnn2k author: Arnal, Raquel P'erez title: Private Sources of Mobility Data Under COVID-19 date: 2020-07-14 words: 5967 flesch: 58 summary: Quantifying international human mobility patterns using facebook network data Aggregated mobility data could help fight COVID-19 Protecting privacy in facebook mobility data during the COVID-19 response Facebook data for good public datasets Wilson Mobility trends reports Facebook disaster maps: Aggregate insights for crisis response & recovery Estudio anual mobile en españa 2019 y tendencias Google timeline accuracy assessment and error prediction China scrambles to curb rise in imported coronavirus cases, wuhan eases lockdown Situación y evolución de la pandemia de COVID-19 en españa The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application Plan para la transición hacia una nueva normalidad We would like to thank Facebook and Google for releasing the data that made this work possible. Aware of that, we set forth to explore the behavior and inter-relations of private sources of mobility data in the context of Spain. keywords: covid-19; data; facebook; google; lockdown; mobility; pandemic; sources; spain cache: cord-232959-jcnvnn2k.txt plain text: cord-232959-jcnvnn2k.txt item: #7 of 26 id: cord-252218-jrgl0x06 author: Heerfordt, C. title: Has there been an increased interest in smoking cessation during the first months of the COVID-19 pandemic? A Google Trends study date: 2020-04-20 words: 868 flesch: 60 summary: Previous Google Trends studies have found increased numbers of seaches relating to smoking cessation in association with the launch of national smoking cessation programmes and changes in tobacco control policies. We retrieved worldwide public query data for the following terms: 'quit smoking', 'smoking cessation', 'help quit smoking' and 'nicotine gum' between 9 January 2020 and 6 April 2020. keywords: cessation; covid-19; smoking cache: cord-252218-jrgl0x06.txt plain text: cord-252218-jrgl0x06.txt item: #8 of 26 id: cord-256094-f85xc5uu author: Milinovich, Gabriel J title: Using internet search queries for infectious disease surveillance: screening diseases for suitability date: 2014-12-31 words: 4966 flesch: 40 summary: Infectious diseases surveillance systems have been developed using internet search metrics to estimate incidence of influenza (Google Flu Trends) Combined, these features of internet usage and availability, infectious disease surveillance systems and diseases susceptibility patterns make Australia an ideal system in which to study the potential application of internet-based surveillance systems. keywords: correlations; data; diseases; google; internet; search; surveillance; systems; terms; trends cache: cord-256094-f85xc5uu.txt plain text: cord-256094-f85xc5uu.txt item: #9 of 26 id: cord-262310-z0m6uuzf author: Effenberger, Maria title: Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis date: 2020-04-17 words: 2775 flesch: 51 summary: In addition, Google Trends TM data might be used to forecast an increase in infected cases. Retrieving Google Trends TM data on COVID-19 The Google Trends TM tool was used to retrieve data on internet user search activities in the context of COVID-19. keywords: cases; google; peak; trends cache: cord-262310-z0m6uuzf.txt plain text: cord-262310-z0m6uuzf.txt item: #10 of 26 id: cord-265178-q7x7ec24 author: Lyócsa, Štefan title: Fear of the coronavirus and the stock markets date: 2020-08-26 words: 3335 flesch: 51 summary: gtrendsR: Perform and display Google trends queries Stock markets and the COVID-19 fractal contagion effects Correction to Automatic block-length selection for the dependent bootstrap by D. Politis and H. White Quantifying trading behavior in financial markets using Google Trends COVID-19 pandemic, oil prices, stock market, geopolitical risk 260 and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach News sentiment and the investor fear gauge The importance of fear: investor sentiment and stock market returns The investor fear gauge Infected markets: Novel coronavirus, government interventions, and stock return volatility around the globe Financial markets under the global pandemic of COVID-19. The idea of using sentiment or fear to explain stock market volatility is certainly not new; several recent studies have used news, VIX, Twitter posts and other proxies to measure investors' sentiment and fear about the future (e.g., Whaley, 2000; Zhang et al., 2011; Huerta et al., 2011; Smales, 2014 Smales, , 2017 . keywords: coronavirus; covid-19; fear; google; market; pandemic; search; stock cache: cord-265178-q7x7ec24.txt plain text: cord-265178-q7x7ec24.txt item: #11 of 26 id: cord-289647-14ba5sro author: Panuganti, Bharat A. title: Predicting COVID-19 Incidence Using Anosmia and Other COVID-19 Symptomatology: Preliminary Analysis Using Google and Twitter date: 2020-06-02 words: 3223 flesch: 40 summary: To quantify the effect of mass media communications on the correlation between smell loss tweets, searches, and COVID-19 incidence, we excluded March 22 to March 24 to obtain new Spearman correlation coefficients. The correlation between COVID-19 incidence and searches pertaining smell loss (0.524) was less robust than searches about nonsmell symptoms (0.744) and COVID-19 (0.893). keywords: covid-19; google; incidence; loss; search; smell; twitter cache: cord-289647-14ba5sro.txt plain text: cord-289647-14ba5sro.txt item: #12 of 26 id: cord-294955-bybdn9yb author: Brkic, Faris F. title: Peaks in online inquiries into pharyngitis-related symptoms correspond with annual incidence rates date: 2020-09-23 words: 3714 flesch: 45 summary: To explore pharyngitis related search terms that Google users entered on Google web search to gain more insight into acute pharyngitis, we entered five different search terms related to pharyngitis and its country-specific translations on April 22nd 2020. . It allows analysis of search-query volume (frequency) for search terms that were entered on Google web search. keywords: analysis; countries; data; information; pharyngitis; search; terms cache: cord-294955-bybdn9yb.txt plain text: cord-294955-bybdn9yb.txt item: #13 of 26 id: cord-296821-qdhj9zj6 author: Uvais, Nalakath A. title: Interests in quitting smoking and alcohol during COVID‐19 pandemic in India: A Google Trends study date: 2020-07-19 words: 1030 flesch: 54 summary: A recent study analysing the Google trend regarding smoking cessation searches worldwide during the early months of the COVID-19 outbreak (9 January 2020 and 6 April 2020) also failed to show a tendency for increased interest in any of the key terms related to smoking cessation ('quit smoking', 'smoking cessation', 'help quit smoking' and 'nicotine gum') Google trend analysis during the lockdown period showed a sharp increase in Google searches on COVID and disinfection measures in India. keywords: alcohol; interest; smoking cache: cord-296821-qdhj9zj6.txt plain text: cord-296821-qdhj9zj6.txt item: #14 of 26 id: cord-297835-ukrz8tlv author: Leith, Douglas J. title: Measurement-based evaluation of Google/Apple Exposure Notification API for proximity detection in a light-rail tram date: 2020-09-30 words: 5592 flesch: 53 summary: Following [9] updated to reflect GAEN calibration changes pushed by Google on 13th June 2020, for the Google Pixel 2 handsets used in our experiments we map from RSSI to attenuation level using the formula -31-(RSSI-6) This is similar to the behaviour observed in previous GAEN measurements taken on a bus [8] , and is of course pertinent to the use of attenuation level as a proxy for distance. keywords: api; app; attenuation; detection; exposure; gaen; gaen api; handsets; level cache: cord-297835-ukrz8tlv.txt plain text: cord-297835-ukrz8tlv.txt item: #15 of 26 id: cord-298953-9aifql2f author: Day, Brett H. title: The Value of Greenspace Under Pandemic Lockdown date: 2020-08-04 words: 10009 flesch: 48 summary: In brief, we find that while the lockdown imposed very significant restrictions on outdoor recreation activities, citizens engaged in substantial compensating substitution behaviour. Through a calibration exercise, Venter et al. estimate that outdoor recreation activity in Oslo increased by291%. keywords: activity; class; data; demand; england; google; greenspace; lockdown; lockdown rules; model; orval; period; recreation; time; visitation; visits cache: cord-298953-9aifql2f.txt plain text: cord-298953-9aifql2f.txt item: #16 of 26 id: cord-302758-i5pe61h1 author: Pier, Matthew M. title: Otolaryngology-related Google Search trends during the COVID-19 pandemic date: 2020-06-19 words: 2416 flesch: 45 summary: In total, 16.6% of search terms had significant increases in relative search volume during the COVID-19 period, with the largest percentage increase for “can't smell” (124.4%, p = .006), followed by “allergies” (30.3%, p = .03), “voice pain” (26.1%, p = .008), and “ears ringing” (19.0%, p < .001). GT does not provide quantitative information on search terms. keywords: covid-19; google; otolaryngology; patients; search; terms cache: cord-302758-i5pe61h1.txt plain text: cord-302758-i5pe61h1.txt item: #17 of 26 id: cord-304183-zv3s7cjq author: Thirunavukarasu, Arun James title: Evaluating the mainstream impact of ophthalmological research with Google Trends date: 2020-11-01 words: 390 flesch: 35 summary: Google trends as a surrogate marker of public awareness of diabetic retinopathy The use of google trends in health care research: a systematic review Exploring the impact of public health campaigns for glaucoma and macular degeneration utilising Google Trends data in a New Zealand setting Google searches and detection of conjunctivitis epidemics worldwide Still haven't found what i'm looking for… Bono, google and glaucoma awareness Conflict of interest The author declares no conflict of interest. The overall correlation between Google interest and PubMed publications indicates concordance between the interests of the scientific community and general public. keywords: correlation; google cache: cord-304183-zv3s7cjq.txt plain text: cord-304183-zv3s7cjq.txt item: #18 of 26 id: cord-305195-e41yfo89 author: Rainwater-Lovett, Kaitlin title: Viral Epidemiology: Tracking Viruses with Smartphones and Social Media date: 2016-02-12 words: 6164 flesch: 30 summary: Expanded access to the Internet and social media has revolutionized outbreak detection and viral disease surveillance by providing novel sources of data in real time (Chunara, 2012) . Investigation into the spatiotemporal dynamics of viral diseases at smaller spatial scales has become ProMED, the Program for Monitoring Emerging Diseases, is an Internet-based reporting system established in 1994 that compiles information on outbreaks of infectious diseases affecting humans, animals, and food plants. keywords: data; disease; dynamics; epidemiology; individuals; infection; influenza; methods; models; patterns; surveillance; transmission; virus; viruses cache: cord-305195-e41yfo89.txt plain text: cord-305195-e41yfo89.txt item: #19 of 26 id: cord-310769-y6orh217 author: Zaman, A. title: The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States during COVID-19: Observational Study date: 2020-08-25 words: 6617 flesch: 44 summary: On one hand, online engagements can cause fluctuations in mental health. It has been widely applied in researches involving social media and mental health. keywords: anxiety; behavior; covid-19; data; dep; depression; google; group; health; non; outbreak; search; youtube cache: cord-310769-y6orh217.txt plain text: cord-310769-y6orh217.txt item: #20 of 26 id: cord-330936-qf4q8yqq author: Kardeş, Sinan title: Public interest in rheumatic diseases and rheumatologist in the United States during the COVID-19 pandemic: evidence from Google Trends date: 2020-10-18 words: 2830 flesch: 29 summary: A position statement from APLAR Risk factors for hospital admissions related to COVID-19 in patients with autoimmune inflammatory rheumatic diseases Determinants of COVID-19 disease severity in patients with underlying rheumatic disease Aktay Ayaz N (2020) Does immunosuppressive treatment entail an additional risk for children with rheumatic diseases? key: cord-330936-qf4q8yqq authors: Kardeş, Sinan; Kuzu, Ali Suat; Raiker, Rahul; Pakhchanian, Haig; Karagülle, Mine title: Public interest in rheumatic diseases and rheumatologist in the United States during the COVID-19 pandemic: evidence from Google Trends date: 2020-10-18 journal: Rheumatol Int DOI: 10.1007/s00296-020-04728-9 sha: doc_id: 330936 cord_uid: qf4q8yqq To evaluate the public interest in rheumatic diseases during the coronavirus disease 2019 (COVID-19) pandemic. keywords: covid-19; disease; interest; period; search; trends cache: cord-330936-qf4q8yqq.txt plain text: cord-330936-qf4q8yqq.txt item: #21 of 26 id: cord-334751-7mdafd2y author: Mattson, Stephanie L. title: Creating and Sharing Digital ABA Instructional Activities: A Practical Tutorial date: 2020-07-23 words: 6901 flesch: 57 summary: When conditions prevent BCBAs and behavior technicians from working directly with clients, digital instructional activities designed by BCBAs and delivered via a computer or tablet may be a viable substitute. Google applications, including Google Slides, Google Forms, and Google Classroom, can be particularly useful for creating and sharing digital instructional activities. keywords: activities; add; bcbas; click; fig; google; learner; link; select; slides cache: cord-334751-7mdafd2y.txt plain text: cord-334751-7mdafd2y.txt item: #22 of 26 id: cord-339309-r70zd30q author: Havell, Richard title: Recent Developments at the CMA: 2019–2020 date: 2020-10-06 words: 11292 flesch: 54 summary: The CMA found that the relationship between specialised search and Google search is more vertical rather than horizontal, with Google being a 'gatekeeper' for traffic to specialised search websites. Consequently, a foreclosure strategy that would be targeted at competing BI tools that analyse data only from Google products would involve substantially less loss of revenue than an untargeted strategy that affected all thirdparty products. keywords: ability; advertising; cma; competition; complaints; consumers; data; facebook; google; high; market; market power; platforms; power; prices; products; search cache: cord-339309-r70zd30q.txt plain text: cord-339309-r70zd30q.txt item: #23 of 26 id: cord-339642-3trpona9 author: Obeidat, Rand title: Can Users Search Trends Predict People Scares or Disease Breakout? An Examination of Infectious Skin Diseases in the United States date: 2020-06-08 words: 3552 flesch: 55 summary: So, this study provides analysis and evaluation for the association between monthly reported Rubella and Measles cases and Google Trends popular search terms that can be used to predict a future outbreak of infectious skin disease case. AIM: This article aims to evaluate a dataset of search terms to determine whether search queries and terms can be used to reliably predict skin disease breakouts. keywords: disease; google; rubella; search; skin; terms; trends cache: cord-339642-3trpona9.txt plain text: cord-339642-3trpona9.txt item: #24 of 26 id: cord-348269-6z0kiapa author: Nguyen, Quynh C. title: Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases date: 2020-09-01 words: 5840 flesch: 44 summary: Although we have observed strong associations between neighborhood built environment indicators and coronavirus prevalence, we cannot conclude that these characteristics cause higher COVID-19 rates. Firstly, neighborhood built environments that allow greater flow of people into an area or impede social distancing practices may increase residents' risk for contracting the virus. keywords: cases; computer; covid-19; data; disorder; environment; health; images; indicators; neighborhood; street; study; zip cache: cord-348269-6z0kiapa.txt plain text: cord-348269-6z0kiapa.txt item: #25 of 26 id: cord-351108-wfik975q author: Cherry, George title: Loss of smell and taste: a new marker of COVID-19? Tracking reduced sense of smell during the coronavirus pandemic using search trends date: 2020-07-16 words: 3656 flesch: 55 summary: Using search interest data to infer population-wide behavior in developed countries has recently become possible. Search interest data were aggregated on a daily basis within the period of interest. keywords: cases; covid-19; data; interest; loss; search; sense; smell cache: cord-351108-wfik975q.txt plain text: cord-351108-wfik975q.txt item: #26 of 26 id: cord-351448-jowb5kfc author: Ganesh, Ragul title: The quality of online media reporting of celebrity suicide in India and its association with subsequent online suicide-related search behaviour among general population: An infodemiology study date: 2020-08-29 words: 5255 flesch: 42 summary: A study assessing the quality of suicide reporting in Indian print media found increase in prominence of suicide reports after the celebrity suicide (Harshe et al., 2016) . There only a few studies that have assessed the fidelity of suicide reporting in India, with almost of the studies having evaluated the quality of media reporting of suicide in general population and included only few print media newspapers. keywords: india; media; online; reporting; search; seeking; study; suicide cache: cord-351448-jowb5kfc.txt plain text: cord-351448-jowb5kfc.txt