The new flu model, described in a study published this week in the Proceedings of the National Academy of Sciences, incorporates techniques used in weather prediction to forecast flu outbreaks up to seven weeks in advance.
Researchers at Columbia University and the National Center for Atmospheric Research focused their study on the winters between 2003 and 2009 in New York City.
The formula used data from the Google Flu Trends project, which estimates outbreaks based on the number of flu-related search queries in a given region. The model also incorporated findings from a previous study that found wintertime U.S. flu epidemics tended to occur following very dry weather.
