Subregional Nowcasts of Seasonal Influenza Using Search Trends

Evaluating Google Flu Trends in Latin America: Important Lessons for the Next Phase of Digital Disease Detection

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Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons

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Accurate estimation of influenza epidemics using Google search data via ARGO

(2015) Shihao Yang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Forecasting the 2013–2014 Influenza Season Using Wikipedia

(2015) Kyle S. Hickmann et al.   PLoS Computational Biology

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

(2015) Mauricio Santillana et al.   PLoS Computational Biology

Automatic Time Series Forecasting: TheforecastPackage forR

(2015) Rob J. Hyndman et al.   Journal of Statistical Software

Advances in nowcasting influenza-like illness rates using search query logs

(2015) Vasileios Lampos et al.   Scientific Reports

What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?

(2014) Mauricio Santillana et al.   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time

(2014) David J. McIver et al.   PLoS Computational Biology

National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic

(2013) David A. Broniatowski et al.   PLoS One

Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales

(2013) Donald R. Olson et al.   PLoS Computational Biology

Using Internet Searches for Influenza Surveillance

(2008) Philip M. Polgreen et al.   CLINICAL INFECTIOUS DISEASES

Detecting influenza epidemics using search engine query data

(2008) Jeremy Ginsberg et al.   NATURE