Social Media as a Sentinel for Disease Surveillance: What Does Sociodemographic Status Have to Do with It?

Introduction: Data from social media have been shown to have utility in augmenting traditional approaches to public health surveillance. Quantifying the representativeness of these data is needed for making accurate public health inferences. Methods: We applied machine-learning methods to explore sp...

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Detalles Bibliográficos
Autores principales: Nsoesie, Elaine O., Flor, Luisa, Hawkins, Jared, Maharana, Adyasha, Skotnes, Tobi, Marinho, Fatima, Brownstein, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222536/
https://www.ncbi.nlm.nih.gov/pubmed/28123858
http://dx.doi.org/10.1371/currents.outbreaks.cc09a42586e16dc7dd62813b7ee5d6b6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222536/
https://www.ncbi.nlm.nih.gov/pubmed/28123858
http://dx.doi.org/10.1371/currents.outbreaks.cc09a42586e16dc7dd62813b7ee5d6b6

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