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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...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2013
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3691709/ https://ncbi.nlm.nih.gov/pubmed/23343523 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-13-12 |
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