A stochastic epidemic model of COVID-19 disease

被引：12

作者：

Bardina, Xavier ^{[1
]}

Ferrante, Marco ^{[2
]}

Rovira, Carles ^{[3
]}

机构：

[1] Univ Autonoma Barcelona, Dept Matemat, Bellaterra 08193, Spain

[2] Univ Padua, Dipartimento Matemat Tullio Levi Civita, Via Trieste 63, I-35121 Padua, Italy

[3] Univ Barcelona, Dept Matemat & Informat, Gran Via 585, Barcelona 08007, Spain

来源：

AIMS MATHEMATICS | 2020年 / 5卷 / 06期

关键词：

COVID-19; SIR model; reproduction number; INFECTIOUS-DISEASES;

D O I：

10.3934/math.2020490

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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.

引用

页码：7661 / 7677

页数：17

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INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 91 :264-266

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