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...

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Detalles Bibliográficos
Autores principales: Lewis, Bryan, Eubank, Stephen, Abrams, Allyson M, Kleinman, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Technical Advance
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

Internet

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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