Probabilistic Daily ILI Syndromic Surveillance with a Spatio-Temporal Bayesian Hierarchical Model

BACKGROUND: For daily syndromic surveillance to be effective, an efficient and sensible algorithm would be expected to detect aberrations in influenza illness, and alert public health workers prior to any impending epidemic. This detection or alert surely contains uncertainty, and thus should be eva...

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Detalles Bibliográficos
Autores principales: Chan, Ta-Chien, King, Chwan-Chuen, Yen, Muh-Yong, Chiang, Po-Huang, Huang, Chao-Sheng, Hsiao, Chuhsing K.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905374/
https://www.ncbi.nlm.nih.gov/pubmed/20661275
http://dx.doi.org/10.1371/journal.pone.0011626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905374/
https://www.ncbi.nlm.nih.gov/pubmed/20661275
http://dx.doi.org/10.1371/journal.pone.0011626

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