Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza

Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding the spatial and temporal dynamics of outbreaks. Twitter gives researchers and public health officials an opportunity to examine the spread of influenza in real-time and at multiple geographical scales....

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Detalles Bibliográficos
Autores principales: Allen, Chris, Tsou, Ming-Hsiang, Aslam, Anoshe, Nagel, Anna, Gawron, Jean-Mark
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/PMC4959719/
https://www.ncbi.nlm.nih.gov/pubmed/27455108
http://dx.doi.org/10.1371/journal.pone.0157734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959719/
https://www.ncbi.nlm.nih.gov/pubmed/27455108
http://dx.doi.org/10.1371/journal.pone.0157734

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