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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Wieland, Shannon C, Brownstein, John S, Berger, Bonnie, Mandl, Kenneth D
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BioMed Central 2007
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC1919360/
https://ncbi.nlm.nih.gov/pubmed/17567912
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-7-15
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