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Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/24539
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dc.contributor.authorRosa, Silvériopt_PT
dc.contributor.authorTorres, Delfim F. M.pt_PT
dc.date.accessioned2018-10-31T11:45:32Z-
dc.date.available2018-10-31T11:45:32Z-
dc.date.issued2018-03-29-
dc.identifier.issn2311-004Xpt_PT
dc.identifier.urihttp://hdl.handle.net/10773/24539-
dc.description.abstractA state wide Human Respiratory Syncytial Virus (HRSV) surveillance system was implemented in Florida in 1999 to support clinical decision-making for prophylaxis of premature infants. The research presented in this paper addresses the problem of fitting real data collected by the Florida HRSV surveillance system by using a periodic SEIRS mathematical model. A sensitivity and cost-effectiveness analysis of the model is done and an optimal control problem is formulated and solved with treatment as the control variable.pt_PT
dc.language.isoengpt_PT
dc.publisherInternational Academic Presspt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147206/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147328/PTpt_PT
dc.relationPTDC/EEI-AUT/2933/2014pt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHuman Respiratory Syncytial Virus (HRSV)pt_PT
dc.subjectCompartmental Mathematical Modelspt_PT
dc.subjectEstimation of Parameterspt_PT
dc.subjectOptimal Controlpt_PT
dc.titleParameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Floridapt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage139pt_PT
degois.publication.issue1pt_PT
degois.publication.lastPage149pt_PT
degois.publication.titleStatistics, Optimization and Information Computingpt_PT
degois.publication.volume6pt_PT
dc.relation.publisherversionhttp://dx.doi.org/10.19139/soic.v6i1.472pt_PT
dc.identifier.doi10.19139/soic.v6i1.472pt_PT
dc.identifier.essn2310-5070pt_PT
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