A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data

BACKGROUND: Dengue is the most common arboviral disease of humans, with more than one third of the world’s population at risk. Accurate prediction of dengue outbreaks may lead to public health interventions that mitigate the effect of the disease. Predicting infectious disease outbreaks is a challen...

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Detalles Bibliográficos
Autores principales: Buczak, Anna L, Koshute, Phillip T, Babin, Steven M, Feighner, Brian H, Lewis, Sheryl H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534444/
https://www.ncbi.nlm.nih.gov/pubmed/23126401
http://dx.doi.org/10.1186/1472-6947-12-124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534444/
https://www.ncbi.nlm.nih.gov/pubmed/23126401
http://dx.doi.org/10.1186/1472-6947-12-124

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