Tuesday, March 10, 2009

Tracing Influenza Epidemics via Crowdsourcing

Researchers from Google (Mountain View,CA,USA) and Centers for Disease Control and Prevention (Atlanta, GA,USA) recently reported a method to build a model that helps detecting the spread of Influenza.

The article describes the analysis of search logs in combination with records of doctor visits related to Influenza-like Illness (ILI). The goal of the model is to predict the percentage of doctor visits that are ILI-related. The authors report a correlation of up to 0.96 between the model predictions and the Centers for Disease Control (CDC) reports.


Jeremy Ginsberg, Matthew H. Mohebbi, Rajan S. Patel, Lynnette Brammer, Mark S. Smolinski and Larry Brilliant. Detecting influenza epidemics using search engine query data. Nature 457, 1012-1014 (19 February 2009).

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