Adaptive policies for use of physical distancing interventions during the COVID-19 pandemic
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 surveil...
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Published in | medRxiv : the preprint server for health sciences |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.06.2020
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Online Access | Get more information |
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Summary: | 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. |
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DOI: | 10.1101/2020.05.29.20065714 |