Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

We present a machine learning-based methodology capable of providing real-time (“nowcast”) and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly real-time hospital visit records, and data from a par...

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Detalles Bibliográficos
Autores principales: Santillana, Mauricio, Nguyen, André T., Dredze, Mark, Paul, Michael J., Nsoesie, Elaine O., Brownstein, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626021/
https://www.ncbi.nlm.nih.gov/pubmed/26513245
http://dx.doi.org/10.1371/journal.pcbi.1004513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626021/
https://www.ncbi.nlm.nih.gov/pubmed/26513245
http://dx.doi.org/10.1371/journal.pcbi.1004513

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