Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida

Detalhes bibliográficos
Autor(a) principal: Rosa, Silvério
Data de Publicação: 2018
Outros Autores: Torres, Delfim F. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/24539
Resumo: A 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.
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spelling Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in FloridaHuman Respiratory Syncytial Virus (HRSV)Compartmental Mathematical ModelsEstimation of ParametersOptimal ControlA 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.International Academic Press2018-10-31T11:45:32Z2018-03-29T00:00:00Z2018-03-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/24539eng2311-004X10.19139/soic.v6i1.472Rosa, SilvérioTorres, Delfim F. M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:47:49Zoai:ria.ua.pt:10773/24539Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:58:03.151537Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida
title Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida
spellingShingle Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida
Rosa, Silvério
Human Respiratory Syncytial Virus (HRSV)
Compartmental Mathematical Models
Estimation of Parameters
Optimal Control
title_short Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida
title_full Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida
title_fullStr Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida
title_full_unstemmed Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida
title_sort Parameter estimation, sensitivity analysis and optimal control of a periodic epidemic model with application to HRSV in Florida
author Rosa, Silvério
author_facet Rosa, Silvério
Torres, Delfim F. M.
author_role author
author2 Torres, Delfim F. M.
author2_role author
dc.contributor.author.fl_str_mv Rosa, Silvério
Torres, Delfim F. M.
dc.subject.por.fl_str_mv Human Respiratory Syncytial Virus (HRSV)
Compartmental Mathematical Models
Estimation of Parameters
Optimal Control
topic Human Respiratory Syncytial Virus (HRSV)
Compartmental Mathematical Models
Estimation of Parameters
Optimal Control
description A 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-31T11:45:32Z
2018-03-29T00:00:00Z
2018-03-29
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/24539
url http://hdl.handle.net/10773/24539
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2311-004X
10.19139/soic.v6i1.472
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv International Academic Press
publisher.none.fl_str_mv International Academic Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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