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Optimal Control of an Epidemic through Social Distancing
Author(s) -
Thomas Kruse,
Philipp Strack
Publication year - 2020
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3583186
Subject(s) - social distance , epidemic control , distancing , social control , control (management) , virology , covid-19 , political science , medicine , computer science , law , disease , pathology , infectious disease (medical specialty) , artificial intelligence
We analyze how to optimally engage in social distancing (SD) in order to minimize the spread of an infectious disease. We identify conditions under which the optimal policy is single-peaked, i.e., rst engages in increasingly more social distancing and subsequently decreases its intensity. We show that the optimal policy might delay measures that decrease the transmission rate substantially to create “herd-immunity” and that engaging in social distancing sub-optimally early can increase the number of fatalities. Finally, we nd that optimal social distancing can be an eective measure in substantially reducing the death rate of a disease.

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