Detecting influenza epidemics using search engine query data

Jeremy Ginsberg, Matthew H. Mohebbi, Rajan Patel, Lynnette Brammer, Mark S. Smolinski · Nature · 2009

Summary

A method of analysing large numbers of Google search queries to track influenza-like illness in a population and accurately estimate the current level of weekly influenza activity in each region of the United States with a reporting lag of about one day is presented.

Type: article
Published: 2009-02-19
Cited by: 4,161
References: 15
Access: Open access
DOI: https://doi.org/10.1038/nature07634
PubMed: https://pubmed.ncbi.nlm.nih.gov/19020500/
OpenAlex: https://openalex.org/W2117239687
Semantic Scholar: https://api.semanticscholar.org/CorpusID:125775

Keywords

Pandemic, Web search query, Public health, Population, Transmission (telecommunications)

References

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Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic SurveillanceGünther Eysenbach — 2006
The moments of the z and F distributions.F. N. David — 1949
Web Queries as a Source for Syndromic SurveillanceAnette Hulth, Gustaf Rydevik, Annika Linde — 2009
Using internet searches for influenza surveillance.Philip M. Polgreen, Yi‐Ling Chen, David M. Pennock — 2008
Strategies for containing an emerging influenza pandemic in Southeast AsiaNeil M. Ferguson, Derek A. T. Cummings, Simon Cauchemez — 2005
Containing Pandemic Influenza at the SourceIra M. Longini, Azhar Nizam, Shufu Xu — 2005
MapReduce: simplified data processing on large clustersJay B. Dean, Sanjay Ghemawat — 2008
Evaluation of Over-the-Counter Pharmaceutical Sales As a Possible Early Warning Indicator of Human DiseaseSteven F. Magruder — 2003
Analysis of Web Access Logs for Surveillance of InfluenzaHeather A. Johnson, Michael M. Wagner, William R. Hogan — 2004

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Detecting influenza epidemics using search engine query data

Summary

Keywords

References

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