Research article

A stochastic epidemic model of COVID-19 disease

  • Received: 15 July 2020 Accepted: 25 August 2020 Published: 26 September 2020
  • MSC : 92D30, 60J10, 60H10

  • 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.

    Citation: Xavier Bardina, Marco Ferrante, Carles Rovira. A stochastic epidemic model of COVID-19 disease[J]. AIMS Mathematics, 2020, 5(6): 7661-7677. doi: 10.3934/math.2020490

    Related Papers:

  • 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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  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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