New Methods for Flu Tracking and Prediction


Statistics Professor Samuel Kou and colleagues have created new tracking methods for influenza using data from across the Internet and the power of Odyssey.

"The approach, called ARGO, for AutoRegression with Google search data, combines Google data with historical records from the CDC and information on seasonality of the flu. It also accounts for changes in the inner workings of Google’s search engine and shifts in search behavior. People learn as they search for information, Kou said, changing their queries and becoming better searchers." - Harvard Gazette

Read more at the Harvard Gazette

Find the paper at arXiv.org