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A cost–benefit analysis of the COVID-19 disease
Author(s) -
Robert Rowthorn,
J.M. Maciejowski
Publication year - 2020
Publication title -
oxford review of economic policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.948
H-Index - 85
eISSN - 1460-2121
pISSN - 0266-903X
DOI - 10.1093/oxrep/graa030
Subject(s) - valuation (finance) , government (linguistics) , cost–benefit analysis , pandemic , covid-19 , economic interventionism , disease , actuarial science , economics , intervention (counseling) , trace (psycholinguistics) , value of life , public economics , externality , variety (cybernetics) , risk analysis (engineering) , medicine , infectious disease (medical specialty) , microeconomics , computer science , political science , law , psychiatry , linguistics , philosophy , finance , pathology , artificial intelligence , politics
The British government has been debating how to escape from the lockdown without provoking a resurgence of the COVID-19 disease. There is a growing recognition of the damage the lockdown has caused to economic and social life. This paper presents a simple cost–benefit analysis inspired by optimal control theory and incorporating the SIR model of disease propagation. It also reports simulations informed by the theoretical discussion. The optimal path for government intervention is computed under a variety of conditions. These include a cap on the permitted level of infection to avoid overload of the health system, and the introduction of a test and trace system. We quantify the benefits of early intervention to control the disease. We also examine how the government’s valuation of life influences the optimal path. A 10-week lockdown is only optimal if the value of life for COVID-19 victims exceeds £10m. The study is based on a standard but simple epidemiological model, and should therefore be regarded as presenting a methodological framework rather than giving policy prescriptions.

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