A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus

[EN] 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 epi...

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Autores: Jornet-Sanz, Marc, Corberán-Vallet, Ana, Santonja, F., Villanueva Micó, Rafael Jacinto|||0000-0002-0131-0532
Formato: artículo
Fecha de publicación:2017
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/149724
Acesso em linha:https://riunet.upv.es/handle/10251/149724
Access Level:acceso abierto
Palavra-chave:Infectious diseases
Respiratory syncytial virus (RSV)
Discrete-time epidemic model
Stochastic compartmental model
Bayesian analysis
Intervention strategies
MATEMATICA APLICADA
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spelling A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virusJornet-Sanz, MarcCorberán-Vallet, AnaSantonja, F.Villanueva Micó, Rafael Jacinto|||0000-0002-0131-0532Infectious diseasesRespiratory syncytial virus (RSV)Discrete-time epidemic modelStochastic compartmental modelBayesian analysisIntervention strategiesMATEMATICA APLICADA[EN] 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.This work has been supported by Grant Number MTM2014-56233-P from the Spanish Ministry of Economy and Competitiveness.Institut d'Estadística de Catalunya (Idescat)Facultad de Administración y Dirección de EmpresasDepartamento de Matemática AplicadaInstituto Universitario de Matemática MultidisciplinarMinisterio de Economía y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20172017-06-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/149724reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 MTM2014-56233-P PREDICCION Y OPTIMIZACION BAJO INCERTIDUMBRE: MODELOS ESTOCASTICOS DINAMICOS Y APLICACIONESopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1497242026-06-13T07:49:27Z
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
MATEMATICA APLICADA
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, F.
Villanueva Micó, Rafael Jacinto|||0000-0002-0131-0532
author Jornet-Sanz, Marc
author_facet Jornet-Sanz, Marc
Corberán-Vallet, Ana
Santonja, F.
Villanueva Micó, Rafael Jacinto|||0000-0002-0131-0532
author_role author
author2 Corberán-Vallet, Ana
Santonja, F.
Villanueva Micó, Rafael Jacinto|||0000-0002-0131-0532
author2_role author
author
author
dc.contributor.none.fl_str_mv Facultad de Administración y Dirección de Empresas
Departamento de Matemática Aplicada
Instituto Universitario de Matemática Multidisciplinar
Ministerio de Economía y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Infectious diseases
Respiratory syncytial virus (RSV)
Discrete-time epidemic model
Stochastic compartmental model
Bayesian analysis
Intervention strategies
MATEMATICA APLICADA
topic Infectious diseases
Respiratory syncytial virus (RSV)
Discrete-time epidemic model
Stochastic compartmental model
Bayesian analysis
Intervention strategies
MATEMATICA APLICADA
description [EN] 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
2017-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/149724
url https://riunet.upv.es/handle/10251/149724
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 MTM2014-56233-P PREDICCION Y OPTIMIZACION BAJO INCERTIDUMBRE: MODELOS ESTOCASTICOS DINAMICOS Y APLICACIONES
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
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
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institut d'Estadística de Catalunya (Idescat)
publisher.none.fl_str_mv Institut d'Estadística de Catalunya (Idescat)
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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