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

Inference of seasonal and pandemic influenza transmission dynamics

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

Using Networks to Combine “Big Data” and Traditional Surveillance to Improve Influenza Predictions

(2015) Michael W. Davidson 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

Using Clinicians' Search Query Data to Monitor Influenza Epidemics

(2014) M. Santillana et al.   CLINICAL INFECTIOUS DISEASES

A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives

(2014) Ruchit Nagar et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Demonstrating the Use of High-Volume Electronic Medical Claims Data to Monitor Local and Regional Influenza Activity in the US

(2014) Cécile Viboud et al.   PLoS One

The Parable of Google Flu: Traps in Big Data Analysis

(2014) D. Lazer et al.   SCIENCE

Comparison of Filtering Methods for the Modeling and Retrospective Forecasting of Influenza Epidemics

(2014) Wan Yang et al.   PLoS Computational Biology

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

Global Disease Monitoring and Forecasting with Wikipedia

(2014) Nicholas Generous et al.   PLoS Computational Biology

Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends

(2014) Rebecca Tave Gluskin et al.   PLoS Neglected Tropical Diseases

Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience

(2013) D. Paolotti et al.   CLINICAL MICROBIOLOGY AND INFECTION

Using search queries for malaria surveillance, Thailand

(2013) Alex J Ocampo et al.   MALARIA JOURNAL

When Google got flu wrong

(2013) Declan Butler   NATURE

Monitoring Influenza Epidemics in China with Search Query from Baidu

(2013) Qingyu Yuan et al.   PLoS One

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

Optimizing Provider Recruitment for Influenza Surveillance Networks

(2012) Samuel V. Scarpino et al.   PLoS Computational Biology

The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic

(2011) Alessio Signorini et al.   PLoS One

Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic

(2011) Samantha Cook et al.   PLoS One

A New Approach to Monitoring Dengue Activity

(2011) Lawrence C. Madoff et al.   PLoS Neglected Tropical Diseases

Using Web Search Query Data to Monitor Dengue Epidemics: A New Model for Neglected Tropical Disease Surveillance

(2011) Emily H. Chan et al.   PLoS Neglected Tropical Diseases

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