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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Bibliographic Details
Main Authors:	Burr, Tom, Graves, Todd, Klamann, Richard, Michalak, Sarah, Picard, Richard, Hengartner, Nicolas
Format:	Artigo
Language:	Inglês
Published:	BioMed Central 2006
Subjects:	Research Article
Online Access:	https://ncbi.nlm.nih.gov/pmc/articles/PMC1698911/ https://ncbi.nlm.nih.gov/pubmed/17144927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-6-40
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Accounting for seasonal patterns in syndromic surveillance data for outbreak detection

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