Jean Roch Donsimoni, René Glawion, B. Plachter, K. Wälde
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引用次数: 32
Abstract
Abstract We model the evolution of the number of individuals reported sick with COVID-19 in Germany. Our theoretical framework builds on a continuous time Markov chain with four states: healthy without infection, sick, healthy after recovery or despite infection but without symptoms, and deceased. Our quantitative solution matches the number of sick individuals up to the most recent observation and ends with a share of sick individuals following from infection rates and sickness probabilities. We employ this framework to study inter alia the expected peak of the number of sick individuals in Germany in a scenario without public regulation of social contacts. We also study the effects of public regulations. For all scenarios we report the expected end date of the CoV-2 epidemic.
期刊介绍：
German Economic Review, the official publication of the German Economic Association (Verein für Socialpolitik), is an international journal publishing original and rigorous research of general interest in a broad range of economic disciplines, including: - macro- and microeconomics - economic policy - international economics - public economics - finance - business administration The scope of research approaches includes theoretical, empirical and experimental work. Innovative and thought-provoking contributions, in particular from younger authors, are especially welcome.
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