A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus
Our objective in this paper is to model the dynamics of respiratory syncytial virus in the region of Valencia (Spain) and analyse the effect of vaccination strategies from a health-economic point of view. Compartmental mathematical models based on differential equations are commonly used in epidemio...
| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/112757 |
| Acesso em linha: | https://hdl.handle.net/2117/112757 |
| Access Level: | acceso abierto |
| Palavra-chave: | Infectious diseases respiratory syncytial virus (RSV) discrete-time epidemic model stochastic compartmental model Bayesian analysis intervention strategies Classificació AMS::62 Statistics::62P Applications Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
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A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virusJornet-Sanz, MarcCorberán-Vallet, AnaSantonja, FranciscoVillanueva, RafaelInfectious diseasesrespiratory syncytial virus (RSV)discrete-time epidemic modelstochastic compartmental modelBayesian analysisintervention strategiesClassificació AMS::62 Statistics::62P ApplicationsÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàticaOur objective in this paper is to model the dynamics of respiratory syncytial virus in the region of Valencia (Spain) and analyse the effect of vaccination strategies from a health-economic point of view. Compartmental mathematical models based on differential equations are commonly used in epidemiology to both understand the underlying mechanisms that influence disease transmission and analyse the impact of vaccination programs. However, a recently proposed Bayesian stochastic susceptible-infected-recovered-susceptible model in discrete-time provided an improved and more natural description of disease dynamics. In this work, we propose an extension of that stochastic model that allows us to simulate and assess the effect of a vaccination strategy that consists on vaccinating a proportion of newborns.Peer ReviewedInstitut d'Estadística de Catalunya20172017-06-2120182018-01-12journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/112757reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1127572026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus |
| title |
A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus |
| spellingShingle |
A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus Jornet-Sanz, Marc Infectious diseases respiratory syncytial virus (RSV) discrete-time epidemic model stochastic compartmental model Bayesian analysis intervention strategies Classificació AMS::62 Statistics::62P Applications Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| title_short |
A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus |
| title_full |
A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus |
| title_fullStr |
A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus |
| title_full_unstemmed |
A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus |
| title_sort |
A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus |
| dc.creator.none.fl_str_mv |
Jornet-Sanz, Marc Corberán-Vallet, Ana Santonja, Francisco Villanueva, Rafael |
| author |
Jornet-Sanz, Marc |
| author_facet |
Jornet-Sanz, Marc Corberán-Vallet, Ana Santonja, Francisco Villanueva, Rafael |
| author_role |
author |
| author2 |
Corberán-Vallet, Ana Santonja, Francisco Villanueva, Rafael |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Infectious diseases respiratory syncytial virus (RSV) discrete-time epidemic model stochastic compartmental model Bayesian analysis intervention strategies Classificació AMS::62 Statistics::62P Applications Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| topic |
Infectious diseases respiratory syncytial virus (RSV) discrete-time epidemic model stochastic compartmental model Bayesian analysis intervention strategies Classificació AMS::62 Statistics::62P Applications Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| description |
Our objective in this paper is to model the dynamics of respiratory syncytial virus in the region of Valencia (Spain) and analyse the effect of vaccination strategies from a health-economic point of view. Compartmental mathematical models based on differential equations are commonly used in epidemiology to both understand the underlying mechanisms that influence disease transmission and analyse the impact of vaccination programs. However, a recently proposed Bayesian stochastic susceptible-infected-recovered-susceptible model in discrete-time provided an improved and more natural description of disease dynamics. In this work, we propose an extension of that stochastic model that allows us to simulate and assess the effect of a vaccination strategy that consists on vaccinating a proportion of newborns. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 2017-06-21 2018 2018-01-12 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 NA http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/112757 |
| url |
https://hdl.handle.net/2117/112757 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Institut d'Estadística de Catalunya |
| publisher.none.fl_str_mv |
Institut d'Estadística de Catalunya |
| dc.source.none.fl_str_mv |
reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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1869403028017119232 |
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15,301629 |