Projecting the spread of COVID-19 for Germany / Jean Roch Donsimoni, René Glawion, Bodo Plachter, Klaus Wälde
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..
Medienart: |
E-Book |
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Erscheinungsjahr: |
March 2020 |
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Erschienen: |
Bonn, Germany: IZA - Institute of Labor Economics ; March 2020 |
Reihe: |
Discussion paper series / IZA - no. 13094 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
Donsimoni, Jean Roch, 1989- [VerfasserIn] |
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Links: |
ftp.iza.org [kostenfrei] |
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Umfang: |
1 Online-Ressource (circa 28 Seiten) ; Illustrationen |
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Weitere IDs: |
10419/216406 |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
1694463915 |
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520 | |a 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. | ||
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