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Bistability of Evolutionary Stable Vaccination Strategies in the Reinfection SIRI Model

dc.contributor.authorMartins, José
dc.contributor.authorPinto, Alberto
dc.date.accessioned2025-07-02T15:05:54Z
dc.date.available2025-07-02T15:05:54Z
dc.date.issued2017-02-23
dc.description.abstractWe use the reinfection SIRI epidemiological model to analyze the impact of education programs and vaccine scares on individuals decisions to vaccinate or not. The presence of the reinfection provokes the novelty of the existence of three Nash equilibria for the same level of the morbidity relative risk instead of a single Nash equilibrium as occurs in the SIR model studied by Bauch and Earn (PNAS 101:13391–13394, 2004). The existence of three Nash equilibria, with two of them being evolutionary stable, introduces two scenarios with relevant and opposite fea tures for the same level of the morbidity relative risk: the low-vaccination scenario corresponding to the evolutionary stable vaccination strategy, where individuals will vaccinate with a low probability; and the high-vaccination scenario corresponding to the evolutionary stable vaccination strategy, where individuals will vaccinate with a high probability. We introduce the evolutionary vaccination dynamics for the SIRI model and we prove that it is bistable. The bistability of the evolutionary dynamics indicates that the damage provoked by false scares on the vaccination perceived mor bidity risks can be much higher and much more persistent than in the SIR model. Furthermore, the vaccination education programs to be efficient they need to imple ment a mechanism to suddenly increase the vaccination coverage level.eng
dc.description.sponsorshipThe authors thank the referees for their comments and suggestions. The authors also thank the financial support of LIAAD-INESC TEC and FCT Fundação para a Ciência e a Tecnolo gia (Portuguese Foundation for Science and Technology) within project UID/EEA/50014/2013 and ERDF (European Regional Development Fund) through the COMPETE Program (operational program for compet itiveness) and by National Funds through the FCT within Project “Dynamics, optimization and modelling”, with reference PTDC/MAT-NAN/6890/2014 and Project “NanoSTIMA: Macro-to-Nano Human Sens ing: Towards Integrated Multimodal Health Monitoring and Analytics/NORTE-01-0145-FEDER-000016” financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF)
dc.identifier.citationMartins J, Pinto A. Bistability of Evolutionary Stable Vaccination Strategies in the Reinfection SIRI Model. Bull Math Biol. 2017 Apr;79(4):853-883. doi: 10.1007/s11538-017-0257-6. Epub 2017 Feb 23. PMID: 28233172
dc.identifier.doi10.1007/s11538-017-0257-6
dc.identifier.issn0092-8240
dc.identifier.issn1522-9602
dc.identifier.urihttp://hdl.handle.net/10400.8/13513
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media LLC
dc.relationUID/EEA/50014/2013
dc.relationPTDC/MAT-NAN/6890/2014
dc.relation.hasversionhttps://pubmed.ncbi.nlm.nih.gov/28233172/
dc.relation.ispartofBulletin of Mathematical Biology
dc.rights.uriN/A
dc.subjectVaccination
dc.subjectReinfection
dc.subjectSIRI model
dc.subjectNash equilibrium
dc.subjectESS
dc.subjectVaccination dynamics
dc.titleBistability of Evolutionary Stable Vaccination Strategies in the Reinfection SIRI Modeleng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage883
oaire.citation.issue4
oaire.citation.startPage853
oaire.citation.titleBulletin of Mathematical Biology
oaire.citation.volume79
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMartins
person.givenNameJosé
person.identifier.ciencia-idFA1B-6241-A508
person.identifier.orcid0000-0003-0524-420X
relation.isAuthorOfPublicationee7ebb36-8413-4cb4-93d9-6fb158c0d605
relation.isAuthorOfPublication.latestForDiscoveryee7ebb36-8413-4cb4-93d9-6fb158c0d605

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