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

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

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dc.contributor.author Jornet-Sanz, Marc es_ES
dc.contributor.author Corberán-Vallet, Ana es_ES
dc.contributor.author Santonja, F. es_ES
dc.contributor.author Villanueva Micó, Rafael Jacinto es_ES
dc.date.accessioned 2020-09-10T03:32:02Z
dc.date.available 2020-09-10T03:32:02Z
dc.date.issued 2017-06 es_ES
dc.identifier.issn 1696-2281 es_ES
dc.identifier.uri http://hdl.handle.net/10251/149724
dc.description.abstract [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. es_ES
dc.description.sponsorship This work has been supported by Grant Number MTM2014-56233-P from the Spanish Ministry of Economy and Competitiveness. es_ES
dc.language Inglés es_ES
dc.publisher Institut d'Estadística de Catalunya (Idescat) es_ES
dc.relation MINECO/MTM2014-56233-P es_ES
dc.relation.ispartof SORT. Statistics and Operations Research Transactions es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Infectious diseases es_ES
dc.subject Respiratory syncytial virus (RSV) es_ES
dc.subject Discrete-time epidemic model es_ES
dc.subject Stochastic compartmental model es_ES
dc.subject Bayesian analysis es_ES
dc.subject Intervention strategies es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.2436/20.8080.02.56 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Jornet-Sanz, M.; Corberán-Vallet, A.; Santonja, F.; Villanueva Micó, RJ. (2017). A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus. SORT. Statistics and Operations Research Transactions. 41(1):159-175. https://doi.org/10.2436/20.8080.02.56 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.2436/20.8080.02.56 es_ES
dc.description.upvformatpinicio 159 es_ES
dc.description.upvformatpfin 175 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 41 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\346454 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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