期刊
EUROPEAN JOURNAL OF HEALTH ECONOMICS
卷 24, 期 1, 页码 67-74出版社
SPRINGER
DOI: 10.1007/s10198-022-01452-y
关键词
COVID-19; Optimal strategy; Economy; Deaths; Integrated simulations; Real-time analysis
This study presents a novel approach that combines epidemiological and economic models for data-based simulations during a pandemic. The findings suggest a non-linear U-shape relationship between health protection and economic interests, indicating that it is beneficial to balance non-pharmaceutical interventions to further reduce infection rates. The simulations suggest that a prudent strategy with a reproduction number of around 0.75 is economically optimal.
We develop a novel approach integrating epidemiological and economic models that allows data-based simulations during a pandemic. We examine the economically optimal opening strategy that can be reconciled with the containment of a pandemic. The empirical evidence is based on data from Germany during the SARS-CoV-2 pandemic. Our empirical findings reject the view that there is necessarily a conflict between health protection and economic interests and suggest a non-linear U-shape relationship: it is in the interest of public health and the economy to balance non-pharmaceutical interventions in a manner that further reduces the incidence of infections. Our simulations suggest that a prudent strategy that leads to a reproduction number of around 0.75 is economically optimal. Too restrictive policies cause massive economic costs. Conversely, policies that are too loose lead to higher death tolls and higher economic costs in the long run. We suggest this finding as a guide for policy-makers in balancing interests of public health and the economy during a pandemic.
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