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Twitter Influenza Surveillance: Quantifying Seasonal Misdiagnosis Patterns and their Impact on Surveillance Estimates

BACKGROUND: Influenza (flu) surveillance using Twitter data can potentially save lives and increase efficiency by providing governments and healthcare organizations with greater situational awareness. However, research is needed to determine the impact of Twitter users’ misdiagnoses on surveillance...

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Detalles Bibliográficos
Autor principal:	Mowery, Jared
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	University of Illinois at Chicago Library 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302465/ https://www.ncbi.nlm.nih.gov/pubmed/28210419 http://dx.doi.org/10.5210/ojphi.v8i3.7011

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