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.
Citation:
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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