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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...
Autores principales: | Zou, Jian, Karr, Alan F, Datta, Gauri, Lynch, James, Grannis, Shaun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
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 |
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