        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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        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
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