Using laboratory-based surveillance data for prevention: an algorithm for detecting Salmonella outbreaks.

By applying cumulative sums (CUSUM), a quality control method commonly used in manufacturing, we constructed a process for detecting unusual clusters among reported laboratory isolates of disease-causing organisms. We developed a computer algorithm based on minimal adjustments to the CUSUM method, w...

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Detalles Bibliográficos
Autores principales: Hutwagner, L C, Maloney, E K, Bean, N H, Slutsker, L, Martin, S M
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 1997
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2627626/
https://www.ncbi.nlm.nih.gov/pubmed/9284390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2627626/
https://www.ncbi.nlm.nih.gov/pubmed/9284390

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