A stochastic epidemic model of COVID-19 disease
AIMS Mathematics
; 5(6):7661-7677, 2020.
Article
in English
| Scopus | ID: covidwho-854246
ABSTRACT
To model the evolution of diseases with extended latency periods and the presence of asymptomatic patients like COVID-19, we define a simple discrete time stochastic SIR-type epidemic model. We include both latent periods as well as the presence of quarantine areas, to capture the evolutionary dynamics of such diseases. © 2020 the Author(s), licensee AIMS Press.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
AIMS Mathematics
Year:
2020
Document Type:
Article
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