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Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching.
Boukanjime, Brahim; Caraballo, Tomás; El Fatini, Mohamed; El Khalifi, Mohamed.
  • Boukanjime B; Laboratory of PDE's, Algebra and spectral Geometry, Faculty of Sciences, Ibn Tofail University, Kénitra, BP 133, Morocco.
  • Caraballo T; Dpto. Ecuaciones Diferenciales y Análisis Numérico, Facultad de Matemáticas, Universidad de Sevilla, Tarfia, s/n, Sevilla, 41012, Spain.
  • El Fatini M; Laboratory of PDE's, Algebra and spectral Geometry, Faculty of Sciences, Ibn Tofail University, Kénitra, BP 133, Morocco.
  • El Khalifi M; Laboratory of PDE's, Algebra and spectral Geometry, Faculty of Sciences, Ibn Tofail University, Kénitra, BP 133, Morocco.
Chaos Solitons Fractals ; 141: 110361, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1023499
ABSTRACT
In this paper, we analyze a stochastic coronavirus (COVID-19) epidemic model which is perturbed by both white noise and telegraph noise incorporating general incidence rate. Firstly, we investigate the existence and uniqueness of a global positive solution. Then, we establish the stochastic threshold for the extinction and the persistence of the disease. The data from Indian states, are used to confirm the results established along this paper.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Journal: Chaos Solitons Fractals Year: 2020 Document Type: Article Affiliation country: J.chaos.2020.110361

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Journal: Chaos Solitons Fractals Year: 2020 Document Type: Article Affiliation country: J.chaos.2020.110361