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...

Full description

Saved in:
Bibliographic Details
Published inmedRxiv : the preprint server for health sciences
Main Authors Yaesoubi, Reza, Havumaki, Joshua, Chitwood, Melanie H, Menzies, Nicolas A, Gonsalves, Gregg, Salomon, Joshua, Paltiel, A David, Cohen, Ted
Format Journal Article
LanguageEnglish
Published United States 01.06.2020
Online AccessGet more information

Cover

Loading…
More Information
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.
DOI:10.1101/2020.05.29.20065714