Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/216579 
Year of Publication: 
2020
Series/Report no.: 
CESifo Working Paper No. 8183
Publisher: 
Center for Economic Studies and ifo Institute (CESifo), Munich
Abstract: 
We model the evolution of the number of individuals that are reported to be 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 after infection but without symptoms and dead. 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 a scenario without public regulation of social contacts. We also study the effects of public regulations. For all scenarios we report the expected end of the CoV-2 epidemic.
Subjects: 
Corona
COVID19
SARS-CoV-2
spread of infection
Markov model
Germany
projection.
JEL: 
I18
E17
C63
Document Type: 
Working Paper
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