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
id ES_711af45bb0ca487e61bdcd6d0ea0a3e2
oai_identifier_str oai:idus.us.es:11441/104388
network_acronym_str ES
network_name_str España
spelling Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching Boukanjime, Brahim Caraballo Garrido, Tomás El Fatini, Mohamed El Khalifi, Mohamed Stochastic COVID-19 epidemic model General incidence White noise Telegraph noise 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. Elsevier https://hdl.handle.net/11441/104388 https://doi.org/10.1016/j.chaos.2020.110361
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
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
topic Stochastic COVID-19 epidemic model
General incidence
White noise
Telegraph noise
topic_facet 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
format article
status_str publishedVersion
url https://hdl.handle.net/11441/104388
https://doi.org/10.1016/j.chaos.2020.110361
eu_rights_str_mv openAccess
publisher Elsevier
institution Universidad de Sevilla (US)
collection idUS. Depósito de Investigación de la Universidad de Sevilla
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
instname_str Universidad de Sevilla (US)
_version_ 1878436256184008705
publishDateSort 2020
author_browse Boukanjime, Brahim
Caraballo Garrido, Tomás
El Fatini, Mohamed
El Khalifi, Mohamed
publisherStr Elsevier
score 6.9303427

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