A Novel Technique to Estimate Biological Parameters in an Epidemiology Problem

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dc.contributor.authorBenedito, Antone dos Santos [UNESP]
dc.contributor.authorPio dos Santos, Fernando Luiz [UNESP]
dc.contributor.authorRojas, I
dc.contributor.authorJoya, G.
dc.contributor.authorCatala, A.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T17:55:11Z
dc.date.available2018-11-26T17:55:11Z
dc.date.issued2017-01-01
dc.description.abstractIn this paper, we describe a study of a parameter estimation technique to estimate a set of unknown biological parameters of a nonlinear dynamic model of dengue. We also explore a Levenberg-Marquardt (LM) algorithm to minimize the cost function. A classical mathematical model describes the dynamics of mosquitoes in water and winged phases, where the data are available. The main interest is to fit the model to the data taking into account the parameters estimated. Numerical simulations were performed and results showed the robustness of LM in estimating the important parameters in the dengue disease problem.en
dc.description.affiliationSao Paulo State Univ, Inst Biosci Botucatu, Botucatu, SP, Brazil
dc.description.affiliationSao Paulo State Univ, Inst Biosci Botucatu, Dept Biostat, BR-18618689 Botucatu, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Inst Biosci Botucatu, Botucatu, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Inst Biosci Botucatu, Dept Biostat, BR-18618689 Botucatu, SP, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent112-122
dc.identifierhttp://dx.doi.org/10.1007/978-3-319-59153-7_10
dc.identifier.citationAdvances In Computational Intelligence, Iwann 2017, Pt I. Cham: Springer International Publishing Ag, v. 10305, p. 112-122, 2017.
dc.identifier.doi10.1007/978-3-319-59153-7_10
dc.identifier.fileWOS000443108200010.pdf
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11449/164584
dc.identifier.wosWOS:000443108200010
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofAdvances In Computational Intelligence, Iwann 2017, Pt I
dc.relation.ispartofsjr0,295
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectComputational population dynamics
dc.subjectOrdinary differential system
dc.subjectAedes
dc.subjectDengue
dc.titleA Novel Technique to Estimate Biological Parameters in an Epidemiology Problemen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
unesp.author.orcid0000-0003-2774-7297[2]

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Artigos - Bioestatística - IBB