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...

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Autores: Jornet-Sanz, Marc, Corberán-Vallet, Ana, Santonja Gómez, Francisco José, Villanueva Micó, Rafael
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:176150
Acceso en línea:https://ddd.uab.cat/record/176150
https://dx.doi.org/urn:doi:10.2436/20.8080.02.56
Access Level:acceso abierto
Palabra clave:Infectious diseases
Respiratory Syncytial Virus (RSV)
Discrete-time epidemic model
Stochastic compartmental model
Bayesian analysis
Intervention strategies
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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 Gómez, Francisco JoséVillanueva Micó, RafaelInfectious diseasesRespiratory Syncytial Virus (RSV)Discrete-time epidemic modelStochastic compartmental modelBayesian analysisIntervention strategiesOur 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. 22017-01-0120172017-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/176150https://dx.doi.org/urn:doi:10.2436/20.8080.02.56reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:1761502026-06-06T12:50:31Z
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
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 Gómez, Francisco José
Villanueva Micó, Rafael
author Jornet-Sanz, Marc
author_facet Jornet-Sanz, Marc
Corberán-Vallet, Ana
Santonja Gómez, Francisco José
Villanueva Micó, Rafael
author_role author
author2 Corberán-Vallet, Ana
Santonja Gómez, Francisco José
Villanueva Micó, 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
topic Infectious diseases
Respiratory Syncytial Virus (RSV)
Discrete-time epidemic model
Stochastic compartmental model
Bayesian analysis
Intervention strategies
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 2
2017-01-01
2017
2017-01-01
dc.type.none.fl_str_mv 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://ddd.uab.cat/record/176150
https://dx.doi.org/urn:doi:10.2436/20.8080.02.56
url https://ddd.uab.cat/record/176150
https://dx.doi.org/urn:doi:10.2436/20.8080.02.56
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
https://creativecommons.org/licenses/by-nc-nd/3.0/
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
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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