Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse
The objective of this paper is to study a stochastic epidemiological model with infinite Lévy measure and relapse. Using stochastic tools, we prove the existence and uniqueness of global positive solution. Moreover, we also show the extinction and persistence in mean of the disease by the use of Kun...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión enviada para evaluación y publicación |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/156124 |
| Acceso en línea: | https://hdl.handle.net/11441/156124 https://doi.org/10.1016/j.chaos.2024.114531 |
| Access Level: | acceso abierto |
| Palabra clave: | Epidemic model Infinite activity Relapse Extinction Persistence in mean Kunita’s inequality |
| id |
ES_35c2d78b070bb1dddf0774a651c97ef1 |
|---|---|
| oai_identifier_str |
oai:idus.us.es:11441/156124 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapseBenazzouz, MeryemCaraballo Garrido, TomásEl Fatini, MohamedLaaribi, AzizEpidemic modelInfinite activityRelapseExtinctionPersistence in meanKunita’s inequalityThe objective of this paper is to study a stochastic epidemiological model with infinite Lévy measure and relapse. Using stochastic tools, we prove the existence and uniqueness of global positive solution. Moreover, we also show the extinction and persistence in mean of the disease by the use of Kunita’s inequality instead of Burkholder–Davis–Gundy inequality for continuous diffusions. The numerical behavior of the considered model is analyzed to understand the impact of environmental transmission on the spread of human and zonotic tuberculosis in Morocco.ElsevierEcuaciones Diferenciales y Análisis NuméricoFQM314: Análisis Estocástico de Sistemas Diferenciales2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/156124https://doi.org/10.1016/j.chaos.2024.114531reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésChaos, Solitons & Fractals, 180, 114531-1.https://doi.org/10.1016/j.chaos.2024.114531info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1561242026-06-17T12:51:07Z |
| dc.title.none.fl_str_mv |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse |
| title |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse |
| spellingShingle |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse Benazzouz, Meryem Epidemic model Infinite activity Relapse Extinction Persistence in mean Kunita’s inequality |
| title_short |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse |
| title_full |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse |
| title_fullStr |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse |
| title_full_unstemmed |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse |
| title_sort |
Discontinuous stochastic modelling and discrete numerical approximation for Tuberculosis model with relapse |
| dc.creator.none.fl_str_mv |
Benazzouz, Meryem Caraballo Garrido, Tomás El Fatini, Mohamed Laaribi, Aziz |
| author |
Benazzouz, Meryem |
| author_facet |
Benazzouz, Meryem Caraballo Garrido, Tomás El Fatini, Mohamed Laaribi, Aziz |
| author_role |
author |
| author2 |
Caraballo Garrido, Tomás El Fatini, Mohamed Laaribi, Aziz |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Ecuaciones Diferenciales y Análisis Numérico FQM314: Análisis Estocástico de Sistemas Diferenciales |
| dc.subject.none.fl_str_mv |
Epidemic model Infinite activity Relapse Extinction Persistence in mean Kunita’s inequality |
| topic |
Epidemic model Infinite activity Relapse Extinction Persistence in mean Kunita’s inequality |
| description |
The objective of this paper is to study a stochastic epidemiological model with infinite Lévy measure and relapse. Using stochastic tools, we prove the existence and uniqueness of global positive solution. Moreover, we also show the extinction and persistence in mean of the disease by the use of Kunita’s inequality instead of Burkholder–Davis–Gundy inequality for continuous diffusions. The numerical behavior of the considered model is analyzed to understand the impact of environmental transmission on the spread of human and zonotic tuberculosis in Morocco. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion |
| format |
article |
| status_str |
submittedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/11441/156124 https://doi.org/10.1016/j.chaos.2024.114531 |
| url |
https://hdl.handle.net/11441/156124 https://doi.org/10.1016/j.chaos.2024.114531 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Chaos, Solitons & Fractals, 180, 114531-1. https://doi.org/10.1016/j.chaos.2024.114531 |
| 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 |
|
| _version_ |
1869405909199880192 |
| score |
15,812429 |