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in silico Surveillance: evaluating outbreak detection with simulation models
BACKGROUND: Detecting outbreaks is a crucial task for public health officials, yet gaps remain in the systematic evaluation of outbreak detection protocols. The authors’ objectives were to design, implement, and test a flexible methodology for generating detailed synthetic surveillance data that pro...
Autores principales: | Lewis, Bryan, Eubank, Stephen, Abrams, Allyson M, Kleinman, Ken |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691709/ https://www.ncbi.nlm.nih.gov/pubmed/23343523 http://dx.doi.org/10.1186/1472-6947-13-12 |
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