A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives

BACKGROUND: Twitter has shown some usefulness in predicting influenza cases on a weekly basis in multiple countries and on different geographic scales. Recently, Broniatowski and colleagues suggested Twitter’s relevance at the city-level for New York City. Here, we look to dive deeper into the case...

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Detalles Bibliográficos
Autores principales: Nagar, Ruchit, Yuan, Qingyu, Freifeld, Clark C, Santillana, Mauricio, Nojima, Aaron, Chunara, Rumi, Brownstein, John S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2014
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259880/
https://www.ncbi.nlm.nih.gov/pubmed/25331122
http://dx.doi.org/10.2196/jmir.3416

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259880/
https://www.ncbi.nlm.nih.gov/pubmed/25331122
http://dx.doi.org/10.2196/jmir.3416

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