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Detecting influenza epidemics using search engine query data

Detecting influenza epidemics using search engine query data This paper - first published on-line in November 2008 - draws on data from an early version of the Google Flu Trends search engine to estimate the levels of flu in a population. It introduces a computational model that converts raw search query data into a region-by-region real-time surveillance system that accurately estimates influenza activity with a lag of about one day - one to two weeks faster than the conventional reports published by the Centers for Disease Prevention and Control. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nature Springer Journals

Detecting influenza epidemics using search engine query data

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References (15)

Publisher
Springer Journals
Copyright
Copyright © 2009 by Macmillan Publishers Limited. All rights reserved
Subject
Science, Humanities and Social Sciences, multidisciplinary; Science, Humanities and Social Sciences, multidisciplinary; Science, multidisciplinary
ISSN
0028-0836
eISSN
1476-4687
DOI
10.1038/nature07634
Publisher site
See Article on Publisher Site

Abstract

This paper - first published on-line in November 2008 - draws on data from an early version of the Google Flu Trends search engine to estimate the levels of flu in a population. It introduces a computational model that converts raw search query data into a region-by-region real-time surveillance system that accurately estimates influenza activity with a lag of about one day - one to two weeks faster than the conventional reports published by the Centers for Disease Prevention and Control.

Journal

NatureSpringer Journals

Published: Feb 19, 2009

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