Using Clinicians’ Search Query Data to Monitor Influenza Epidemics

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...

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Detalles Bibliográficos
Autores principales: Santillana, Mauricio, Nsoesie, Elaine O., Mekaru, Sumiko R., Scales, David, Brownstein, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Brief Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4296132/
https://www.ncbi.nlm.nih.gov/pubmed/25115873
http://dx.doi.org/10.1093/cid/ciu647
Descripción
Sumario: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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