A Bayesian spatio‐temporal approach for real‐time detection of disease outbreaks: a case study

BACKGROUND: For researchers and public health agencies, the complexity of high‐dimensional spatio‐temporal data in surveillance for large reporting networks presents numerous challenges, which include low signal‐to‐noise ratios, spatial and temporal dependencies, and the need to characterize uncerta...

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Detalles Bibliográficos
Autores principales: Zou, Jian, Karr, Alan F, Datta, Gauri, Lynch, James, Grannis, Shaun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267748/
https://www.ncbi.nlm.nih.gov/pubmed/25476843
http://dx.doi.org/10.1186/s12911-014-0108-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267748/
https://www.ncbi.nlm.nih.gov/pubmed/25476843
http://dx.doi.org/10.1186/s12911-014-0108-4

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