Co-circulation of Dengue and Zika viruses: A modelling approach applied to epidemics data
| dc.contributor.author | Hirata, Flavia M.R. | |
| dc.contributor.author | Jorge, Daniel C.P. [UNESP] | |
| dc.contributor.author | Pereira, Felipe A.C. | |
| dc.contributor.author | Skalinski, Lacita M. | |
| dc.contributor.author | Cruz-Pacheco, Gustavo | |
| dc.contributor.author | Esteva, M. Lourdes M. | |
| dc.contributor.author | Pinho, Suani T.R. | |
| dc.contributor.institution | Universidade Federal da Bahia (UFBA) | |
| dc.contributor.institution | Instituto Nacional de Ciência e Tecnologia - Sistemas Complexos | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | Fundação Oswaldo Cruz | |
| dc.contributor.institution | Illhéus | |
| dc.contributor.institution | Universidad Nacional Autónoma de México | |
| dc.date.accessioned | 2025-04-29T18:59:04Z | |
| dc.date.issued | 2023-08-01 | |
| dc.description.abstract | Since 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.affiliation | Instituto de Física Universidade Federal da Bahia | |
| dc.description.affiliation | Instituto Nacional de Ciência e Tecnologia - Sistemas Complexos | |
| dc.description.affiliation | Instituto de Física Teórica Universidade Estadual Paulista | |
| dc.description.affiliation | Center of Data and Knowledge Integration for Health (CIDACS) Instituto Gonçalo Moniz Fundação Oswaldo Cruz | |
| dc.description.affiliation | Instituto de Saúde Coletiva Universidade Federal da Bahia | |
| dc.description.affiliation | Departamento de Ciências da Saúde Universidade Estadual de Santa Cruz Illhéus | |
| dc.description.affiliation | Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas Universidad Nacional Autónoma de México | |
| dc.description.affiliation | Facultad de Ciências Universidad Nacional Autónoma de México | |
| dc.description.affiliationUnesp | Instituto de Física Teórica Universidade Estadual Paulista | |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado da Bahia | |
| dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description.sponsorship | FP7 International Cooperation | |
| dc.description.sponsorshipId | CAPES: 16/2014 | |
| dc.description.sponsorshipId | FAPESP: 2020/15643-8 | |
| dc.description.sponsorshipId | FP7 International Cooperation: INT0002/2016 | |
| dc.identifier | http://dx.doi.org/10.1016/j.chaos.2023.113599 | |
| dc.identifier.citation | Chaos, Solitons and Fractals, v. 173. | |
| dc.identifier.doi | 10.1016/j.chaos.2023.113599 | |
| dc.identifier.issn | 0960-0779 | |
| dc.identifier.scopus | 2-s2.0-85163169048 | |
| dc.identifier.uri | https://hdl.handle.net/11449/301706 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Chaos, Solitons and Fractals | |
| dc.source | Scopus | |
| dc.subject | Dengue | |
| dc.subject | Epidemics data | |
| dc.subject | Mathematical modeling | |
| dc.subject | Zika | |
| dc.title | Co-circulation of Dengue and Zika viruses: A modelling approach applied to epidemics data | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| unesp.author.orcid | 0000-0003-1404-3485 0000-0003-1404-3485[7] | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Física Teórica, São Paulo | pt |
