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Optimizing Social Distancing Policies: A Dynamic Programming Approach for Coupled High and Low Risk Populations

2021-10-26

Abstract excerpt

<h4>Background</h4> Decision makers may use social distancing to reduce transmission between risk groups in a pandemic scenario like Covid-19. However, it may result in both financial, mental, and social costs. Given these tradeoffs, it is unclear when and who needs to social distance over the course of a pandemic when policies are allowed to change dynamically over time and vary across different risk groups (e.g....

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Literature Corpus work
c4736c2c-a91a-5281-9d4d-4acdb07fa212
DOI
10.1101/2021.10.24.21265170
Open publication

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Optimizing Social Distancing Policies: A Dynamic Programming Approach for Coupled High and Low Risk PopulationsDOI 10.1101/2021.10.24.21265170
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