Syndromic Surveillance Using Veterinary Laboratory Data: Algorithm Combination and Customization of Alerts

BACKGROUND: Syndromic surveillance research has focused on two main themes: the search for data sources that can provide early disease detection; and the development of efficient algorithms that can detect potential outbreak signals. METHODS: This work combines three algorithms that have demonstrate...

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Detalles Bibliográficos
Autores principales: Dórea, Fernanda C., McEwen, Beverly J., McNab, W. Bruce, Sanchez, Javier, Revie, Crawford W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859592/
https://www.ncbi.nlm.nih.gov/pubmed/24349216
http://dx.doi.org/10.1371/journal.pone.0082183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859592/
https://www.ncbi.nlm.nih.gov/pubmed/24349216
http://dx.doi.org/10.1371/journal.pone.0082183

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