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Co-circulation of Dengue and Zika viruses: A modelling approach applied to epidemics data

dc.contributor.authorHirata, Flavia M.R.
dc.contributor.authorJorge, Daniel C.P. [UNESP]
dc.contributor.authorPereira, Felipe A.C.
dc.contributor.authorSkalinski, Lacita M.
dc.contributor.authorCruz-Pacheco, Gustavo
dc.contributor.authorEsteva, M. Lourdes M.
dc.contributor.authorPinho, Suani T.R.
dc.contributor.institutionUniversidade Federal da Bahia (UFBA)
dc.contributor.institutionInstituto Nacional de Ciência e Tecnologia - Sistemas Complexos
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionFundação Oswaldo Cruz
dc.contributor.institutionIllhéus
dc.contributor.institutionUniversidad Nacional Autónoma de México
dc.date.accessioned2025-04-29T18:59:04Z
dc.date.issued2023-08-01
dc.description.abstractSince the 1980s, the prevalence of diseases caused by arboviruses, in particular, those transmitted by Aedes Aegypti mosquitoes have increased in the Americas. The diseases transmitted by this mosquito include Dengue, Zika, and Chikungunya, which are endemic diseases in the region between the tropics. It is relevant to investigate the effect of virus co-circulation in the transmission of these diseases because there are evidences of both cross-protection and cross-enhancement among the viruses causing Zika and Dengue. In order to understand that effect, in this work we formulate an stochastic model, based on a previous deterministic model for co-circulation of Dengue serotypes. We applied both the deterministic and stochastic versions of the model to epidemics data of Dengue and Zika in Brazilian cities during 2015–2016. We use the deterministic model to calculate the basic reproductive number associated to the co-circulation of both diseases, and we show a non-trivial epidemic behavior associated to the entrance of Zika disease in 2015 in Brazil. Based on the stochastic model we evaluated the importance of the population size and the initial number of cases for the subsequent development of both diseases. Using actual data of simultaneous epidemics of dengue and Zika from Brazilian cities, we mainly find regions of the parameters compatible to cross protection of the population against the infections.en
dc.description.affiliationInstituto de Física Universidade Federal da Bahia
dc.description.affiliationInstituto Nacional de Ciência e Tecnologia - Sistemas Complexos
dc.description.affiliationInstituto de Física Teórica Universidade Estadual Paulista
dc.description.affiliationCenter of Data and Knowledge Integration for Health (CIDACS) Instituto Gonçalo Moniz Fundação Oswaldo Cruz
dc.description.affiliationInstituto de Saúde Coletiva Universidade Federal da Bahia
dc.description.affiliationDepartamento de Ciências da Saúde Universidade Estadual de Santa Cruz Illhéus
dc.description.affiliationInstituto de Investigaciones en Matemáticas Aplicadas y en Sistemas Universidad Nacional Autónoma de México
dc.description.affiliationFacultad de Ciências Universidad Nacional Autónoma de México
dc.description.affiliationUnespInstituto de Física Teórica Universidade Estadual Paulista
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado da Bahia
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.description.sponsorshipFP7 International Cooperation
dc.description.sponsorshipIdCAPES: 16/2014
dc.description.sponsorshipIdFAPESP: 2020/15643-8
dc.description.sponsorshipIdFP7 International Cooperation: INT0002/2016
dc.identifierhttp://dx.doi.org/10.1016/j.chaos.2023.113599
dc.identifier.citationChaos, Solitons and Fractals, v. 173.
dc.identifier.doi10.1016/j.chaos.2023.113599
dc.identifier.issn0960-0779
dc.identifier.scopus2-s2.0-85163169048
dc.identifier.urihttps://hdl.handle.net/11449/301706
dc.language.isoeng
dc.relation.ispartofChaos, Solitons and Fractals
dc.sourceScopus
dc.subjectDengue
dc.subjectEpidemics data
dc.subjectMathematical modeling
dc.subjectZika
dc.titleCo-circulation of Dengue and Zika viruses: A modelling approach applied to epidemics dataen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0003-1404-3485 0000-0003-1404-3485[7]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Física Teórica, São Paulopt

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