Accounting for seasonal patterns in syndromic surveillance data for outbreak detection

BACKGROUND: Syndromic surveillance (SS) can potentially contribute to outbreak detection capability by providing timely, novel data sources. One SS challenge is that some syndrome counts vary with season in a manner that is not identical from year to year. Our goal is to evaluate the impact of incon...

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Detalles Bibliográficos
Autores principales: Burr, Tom, Graves, Todd, Klamann, Richard, Michalak, Sarah, Picard, Richard, Hengartner, Nicolas
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698911/
https://www.ncbi.nlm.nih.gov/pubmed/17144927
http://dx.doi.org/10.1186/1472-6947-6-40

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698911/
https://www.ncbi.nlm.nih.gov/pubmed/17144927
http://dx.doi.org/10.1186/1472-6947-6-40

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