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Influenza Forecasting with Google Flu Trends

2013; Public Library of Science; Volume: 8; Issue: 2 Linguagem: Inglês

10.1371/journal.pone.0056176

1932-6203

Andrea Dugas, Mehdi Jalalpour, Yulia R. Gel, Scott Levin, Fred Torcaso, Takeru Igusa, Richard E. Rothman,

Emergency and Acute Care Studies

We developed a practical influenza forecast model based on real-time, geographically focused, and easy to access data, designed to provide individual medical centers with advanced warning of the expected number of influenza cases, thus allowing for sufficient time to implement interventions. Secondly, we evaluated the effects of incorporating a real-time influenza surveillance system, Google Flu Trends, and meteorological and temporal information on forecast accuracy.