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Probabilistic uncertainty analysis of epidemiological modeling to guide public health intervention policy

Mathematical modeling of disease transmission has provided quantitative predictions for health policy, facilitating the evaluation of epidemiological outcomes and the cost-effectiveness of interventions. However, typical sensitivity analyses of deterministic dynamic infectious disease models focus o...

詳細記述

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書誌詳細
出版年:Epidemics
主要な著者: Gilbert, Jennifer A., Meyers, Lauren Ancel, Galvani, Alison P., Townsend, Jeffrey P.
フォーマット: Artigo
言語:Inglês
出版事項: 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4316830/
https://ncbi.nlm.nih.gov/pubmed/24593920
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.epidem.2013.11.002
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