A country-specific COVID-19 model
Objectives: To dynamically measure COVID-19 transmissibility consistently normalized by population size in each country. Methods: A reduced-form model enhanced from the classical SIR is proposed to stochastically represent the Reproduction Number and Mortality Rate, directly measuring the combined effects of viral evolution and population behavioral response functions. Results: Evidences are shown that this e (hanced)-SIR model has the power to fit country-specific empirical data, produce interpretable model parameters to be used for generating probabilistic scenarios adapted to the still unfolding pandemic. Conclusions: Stochastic processes embedded within compartmental epidemiological models can produce measurables and actionable information for surveillance and planning purposes.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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A country-specific COVID-19 model ; volume:12 ; number:1 ; year:2023 ; extent:24
Epidemiologic methods ; 12, Heft 1 (2023) (gesamt 24)
- Urheber
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Meissner, Gunter
Sherwin, Hong
- DOI
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10.1515/em-2022-0112
- URN
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urn:nbn:de:101:1-2023051214051965244678
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 11:00 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Meissner, Gunter
- Sherwin, Hong
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