Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales
Authors
Keywords
Infectious disease surveillance, Influenza, New York, Public and occupational health, Spatial epidemiology, United States, Internet, Critical care and emergency medicine
Journal
PLoS Computational Biology
Volume 9, Issue 10, Pages e1003256
Publisher
Public Library of Science (PLoS)
Online
2013-10-18
DOI
10.1371/journal.pcbi.1003256
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- When Google got flu wrong
- (2013) Declan Butler NATURE
- Epidemic Influenza — Responding to the Expected but Unpredictable
- (2013) Joseph Bresee et al. NEW ENGLAND JOURNAL OF MEDICINE
- Influenza Forecasting with Google Flu Trends
- (2013) Andrea Freyer Dugas et al. PLoS One
- Using Google Trends for Influenza Surveillance in South China
- (2013) Min Kang et al. PLoS One
- Use of Internet Search Data to Monitor Impact of Rotavirus Vaccination in the United States
- (2012) Rishi Desai et al. CLINICAL INFECTIOUS DISEASES
- Forecasting seasonal outbreaks of influenza
- (2012) J. Shaman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Digital Epidemiology
- (2012) Marcel Salathé et al. PLoS Computational Biology
- Using an online survey of healthcare-seeking behaviour to estimate the magnitude and severity of the 2009 H1N1v influenza epidemic in England
- (2011) Ellen Brooks-Pollock et al. BMC INFECTIOUS DISEASES
- Monitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends
- (2011) Justin R. Ortiz 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
- Determinants of the Spatiotemporal Dynamics of the 2009 H1N1 Pandemic in Europe: Implications for Real-Time Modelling
- (2011) Stefano Merler et al. PLoS Computational Biology
- Detection of Excess Influenza Severity: Associating Respiratory Hospitalization and Mortality Data With Reports of Influenza-Like Illness by Primary Care Physicians
- (2010) Cees C. van den Wijngaard et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Collecting And Sharing Data For Population Health: A New Paradigm
- (2009) Carol C. Diamond et al. HEALTH AFFAIRS
- The Signature Features of Influenza Pandemics — Implications for Policy
- (2009) Mark A. Miller et al. NEW ENGLAND JOURNAL OF MEDICINE
- Severe Respiratory Disease Concurrent with the Circulation of H1N1 Influenza
- (2009) Gerardo Chowell et al. NEW ENGLAND JOURNAL OF MEDICINE
- Web Queries as a Source for Syndromic Surveillance
- (2009) Anette Hulth et al. PLoS One
- Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings
- (2009) C. Fraser et al. SCIENCE
- 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
- Can syndromic thresholds provide early warning of national influenza outbreaks?
- (2007) D. L. Cooper et al. JOURNAL OF PUBLIC HEALTH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search