Author: Santillana, Mauricio; Nsoesie, Elaine O.; Mekaru, Sumiko R.; Scales, David; Brownstein, John S.
Title: Using Clinicians’ Search Query Data to Monitor Influenza Epidemics Cord-id: 71tnv4lp Document date: 2014_8_12
ID: 71tnv4lp
Snippet: Search query information from a clinician's database, UpToDate, is shown to predict influenza epidemics in the United States in a timely manner. Our results show that digital disease surveillance tools based on experts' databases may be able to provide an alternative, reliable, and stable signal for accurate predictions of influenza outbreaks.
Document: Search query information from a clinician's database, UpToDate, is shown to predict influenza epidemics in the United States in a timely manner. Our results show that digital disease surveillance tools based on experts' databases may be able to provide an alternative, reliable, and stable signal for accurate predictions of influenza outbreaks.
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