Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching

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 threshol...

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Detalles Bibliográficos
Autores: Boukanjime, Brahim, Caraballo Garrido, Tomás, El Fatini, Mohamed, El Khalifi, Mohamed
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/104388
Acceso en línea:https://hdl.handle.net/11441/104388
https://doi.org/10.1016/j.chaos.2020.110361
Access Level:acceso abierto
Palabra clave:Stochastic COVID-19 epidemic model
General incidence
White noise
Telegraph noise
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spelling Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switchingBoukanjime, BrahimCaraballo Garrido, TomásEl Fatini, MohamedEl Khalifi, MohamedStochastic COVID-19 epidemic modelGeneral incidenceWhite noiseTelegraph noiseIn 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.ElsevierEcuaciones Diferenciales y Análisis Numérico2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/104388https://doi.org/10.1016/j.chaos.2020.110361reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésChaos, Solitons & Fractals, 141 (Diciembre), 110361-1-110361-10.https://doi.org/10.1016/j.chaos.2020.110361info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1043882026-06-17T12:51:07Z
dc.title.none.fl_str_mv Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching
title Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching
spellingShingle Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching
Boukanjime, Brahim
Stochastic COVID-19 epidemic model
General incidence
White noise
Telegraph noise
title_short Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching
title_full Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching
title_fullStr Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching
title_full_unstemmed Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching
title_sort Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching
dc.creator.none.fl_str_mv Boukanjime, Brahim
Caraballo Garrido, Tomás
El Fatini, Mohamed
El Khalifi, Mohamed
author Boukanjime, Brahim
author_facet Boukanjime, Brahim
Caraballo Garrido, Tomás
El Fatini, Mohamed
El Khalifi, Mohamed
author_role author
author2 Caraballo Garrido, Tomás
El Fatini, Mohamed
El Khalifi, Mohamed
author2_role author
author
author
dc.contributor.none.fl_str_mv Ecuaciones Diferenciales y Análisis Numérico
dc.subject.none.fl_str_mv Stochastic COVID-19 epidemic model
General incidence
White noise
Telegraph noise
topic Stochastic COVID-19 epidemic model
General incidence
White noise
Telegraph noise
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/104388
https://doi.org/10.1016/j.chaos.2020.110361
url https://hdl.handle.net/11441/104388
https://doi.org/10.1016/j.chaos.2020.110361
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Chaos, Solitons & Fractals, 141 (Diciembre), 110361-1-110361-10.
https://doi.org/10.1016/j.chaos.2020.110361
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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