Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales
Olson, Donald R., Konty, Kevin J., Paladini, Marc, Viboud, Cecile, Simonsen, Lone·2013·PLoS Computational Biology
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- Sources of spatial animal and human health data: Casting the net wide to deal more effectively with increasingly complex disease problemsKim Stevens, Dirk Udo Pfeiffer · 2015 · Spatial and Spatio-temporal Epidemiology
- Syndromic surveillance using web data: A systematic reviewLoukas Samaras, Elena García‐Barriocanal, Miguel‐Ángel Sicilia · 2019 · Elsevier eBooks
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- Improved forecasts of influenza-associated hospitalization rates with Google Search TrendsSasikiran Kandula, Sen Pei, Jeffrey L. Shaman · 2019 · Journal of The Royal Society Interface
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- Modeling and Predicting Human Infectious DiseasesNicola Perra, Bruno Gonçalves · 2015 · Springer eBooks
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- Detecting signals of seasonal influenza severity through age dynamicsElizabeth C. Lee, Cecile G. Viboud, Lone Simonsen, Farid L. Khan, Shweta Bansal · 2015 · BMC Infectious Diseases
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- Detecting the Norovirus Season in Sweden Using Search Engine Data – Meeting the Needs of Hospital Infection Control TeamsMichael L. Edelstein, Anders Wallensten, Inga Zetterqvist, Anette Hulth · 2014 · PLoS ONE
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- Laying the foundations for artificial intelligence in healthTiago Cravo Oliveira Hashiguchi, Luke Slawomirski, Jillian Oderkirk · 2021 · OECD health working papers
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- Use of daily Internet search query data improves real-time projections of influenza epidemicsChristoph Zimmer, Sequoia Iris Leuba, Reza Yaesoubi, Ted Cohen · 2018 · Journal of The Royal Society Interface
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- Google Flu Trends in Canada: a comparison of digital disease surveillance data with physician consultations and respiratory virus surveillance data, 2010–2014Leah J. Martin, B. E. Lee, Yutaka Yasui · 2015 · Epidemiology and Infection
- Human temperatures for syndromic surveillance in the emergency department: data from the autumn wave of the 2009 swine flu (H1N1) pandemic and a seasonal influenza outbreakSamantha F Bordonaro, Daniel C. McGillicuddy, Francesco Pompei, Dmitriy Burmistrov, Charles Harding, León D. Sánchez · 2016 · BMC Emergency Medicine
- Assessing the effectiveness of disease awareness programs: Evidence from Google Trends data for the world awareness datesSeyed Peyman Shariatpanahi, Afshin Jafari, Maryam Sadeghipour, Nasibeh Azadeh‐Fard, Keivan Majidzadeh‐A, Leila Farahmand, Alireza Madjid Ansari · 2017 · Telematics and Informatics
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- A Spatial-Temporal Method to Detect Global Influenza Epidemics Using Heterogeneous Data Collected from the InternetXichuan Zhou, Fan Yang, Yujie Feng, Qin Li, Fang Tang, Shengdong Hu, Zhi Wei Lin, Lei Zhang · 2017 · IEEE Transactions on Computational Biology and Bioinformatics
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- Editorial Commentary: Perspectives on the Future of Internet Search Engines and Biosurveillance SystemsMauricio Santillana · 2016 · Clinical Infectious Diseases
- Accurate quantification of uncertainty in epidemic parameter estimates and predictions using stochastic compartmental modelsChristoph Zimmer, Sequoia Iris Leuba, Ted Cohen, Reza Yaesoubi · 2018 · Statistical Methods in Medical Research
- Triggering Interventions for Influenza: The ALERT AlgorithmNicholas G Reich, Derek A. T. Cummings, Stephen A. Lauer, Martha Zorn, Christine C. Robinson, Ann‐Christine Nyquist, Connie Savor Price, Michael S. Simberkoff, Lewis J. Radonovich, Trish M. Perl · 2014 · Clinical Infectious Diseases
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- Association between public attention and monkeypox epidemic: A global lag‐correlation analysisWenxin Yan, Min Du, Chenyuan Qin, Qiao Liu, Yaping Wang, Wannian Liang, Min Liu, Jue Liu · 2022 · Journal of Medical Virology
- Leading Indicators and the Evaluation of the Performance of Alerts for Influenza EpidemicsDena L. Schanzer, Myriam Saboui, Liza Lee, Francesca Reyes Domingo, Teresa Mersereau · 2015 · PLoS ONE
- A spatio-temporal hierarchical Markov switching model for the early detection of influenza outbreaksRubén Amorós, David Conesa, Antonio López‐Quílez, Miguel A. Martínez‐Beneito · 2020 · Stochastic Environmental Research and Risk Assessment
- Using Partial Least Squares Regression to Fit Small Data of H7N9 Incidence Based on the Baidu IndexRuijing Gan, Jiyong Tan, Liying Mo, Yu Li, Daizheng Huang · 2020 · IEEE Access
- Accurate influenza forecasts using type-specific incidence data for small geographic unitsJames Turtle, Pete Riley, M. Ben-Nun, Steven Riley · 2021 · PLoS Computational Biology
- Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data SourcesAndrew G. Huff, Nathan Breit, Toph Allen, Karissa A. Whiting, Christopher Kiley · 2016 · Interdisciplinary Perspectives on Infectious Diseases
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- Unleashing the Power of Big Data for Alzheimer's Disease and Dementia ResearchOECD · 2014 · OECD digital economy papers
- A novel data-driven methodology for influenza outbreak detection and predictionLin Du, Yan Pang · 2021 · Scientific Reports
- Predicting Drug Demand with Wikipedia Views: Evidence from Darknet Markets.Sam Miller, Abeer ElBahrawy, Martin Dittus, Mark Graham, Joss Wright · 2020 · International World Wide Web Conference (WWW)
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- Mapping influenza activity in emergency departments in France using Bayesian model‐based geostatisticsJuliette Paireau, Camille Pelat, Céline Caserio‐Schönemann, Isabelle Pontais, Yann Le Strat, Daniel Lévy-Bruhl, Simon Cauchemez · 2018 · Influenza and Other Respiratory Viruses
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- Big Data in Israeli healthcare: hopes and challenges report of an international workshopChristian Lovis, Ronni Gamzu · 2015 · Israel Journal of Health Policy Research
- A maximum curvature method for estimating epidemic onset of seasonal influenza in JapanJun Cai, Bing Zhang, Bo Xu, Karen Kie Yan Chan, Gerardo Chowell, Huaiyu Tian, Bing Xu · 2019 · BMC Infectious Diseases
- A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and ValidationJohn M. Aronis, Ye Ye, Jeremy U. Espino, Harry Hochheiser, Marian G. Michaels, Gregory F. Cooper · 2024 · JMIR Public Health and Surveillance
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