Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Monitoring Influenza Epidemics in China with Search Query from Baidu
por: Yuan, Qingyu, et al.
Publicado: (2013) -
Monitoring Disease Trends using Hospital Traffic Data from High Resolution Satellite Imagery: A Feasibility Study
por: Nsoesie, Elaine O., et al.
Publicado: (2015) -
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance
por: Santillana, Mauricio, et al.
Publicado: (2015) -
Forecasting Peaks of Seasonal Influenza Epidemics
por: Nsoesie, Elaine, et al.
Publicado: (2013) -
Modeling to Predict Cases of Hantavirus Pulmonary Syndrome in Chile
por: Nsoesie, Elaine O., et al.
Publicado: (2014)