A stochastic epidemic model of COVID-19 disease
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 dynam...
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Published in | AIMS mathematics Vol. 5; no. 6; pp. 7661 - 7677 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
AIMS Press
01.11.2020
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Subjects | |
Online Access | Get full text |
ISSN | 2473-6988 2473-6988 |
DOI | 10.3934/math.2020490 |
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Summary: | 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. |
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ISSN: | 2473-6988 2473-6988 |
DOI: | 10.3934/math.2020490 |