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Adaptive policies for use of physical distancing interventions during the COVID-19 pandemic (preprint)
medrxiv; 2020.
预印本
在 英语
| medRxiv | ID: ppzbmed-10.1101.2020.05.29.20065714
ABSTRACT
Policymakers need decision tools to determine when to use physical distancing interventions to maximize the control of COVID-19 while minimizing the economic and social costs of these interventions. We develop a pragmatic decision tool to characterize adaptive policies that combine real-time surveillance data with clear decision rules to guide when to trigger, continue, or stop physical distancing interventions during the current pandemic. In model-based experiments, we find that adaptive policies characterized by our proposed approach prevent more deaths and require a shorter overall duration of physical distancing than alternative physical distancing policies. Our proposed approach can readily be extended to more complex models and interventions.
全文:
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采集:
预印本
资料库:
medRxiv
主要主题:
Death
/
COVID-19
语言:
英语
年:
2020
类型:
预印本
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