Automated real time constant-specificity surveillance for disease outbreaks

BACKGROUND: For real time surveillance, detection of abnormal disease patterns is based on a difference between patterns observed, and those predicted by models of historical data. The usefulness of outbreak detection strategies depends on their specificity; the false alarm rate affects the interpre...

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Detalles Bibliográficos
Autores principales: Wieland, Shannon C, Brownstein, John S, Berger, Bonnie, Mandl, Kenneth D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1919360/
https://www.ncbi.nlm.nih.gov/pubmed/17567912
http://dx.doi.org/10.1186/1472-6947-7-15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1919360/
https://www.ncbi.nlm.nih.gov/pubmed/17567912
http://dx.doi.org/10.1186/1472-6947-7-15

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