Modeling Chikungunya control strategies and Mayaro potential outbreak in the city of Rio de Janeiro

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorRice University-
Autor(es): dc.contributorUniversity of Costa Rica-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorBrazilian Center for Research in Energy and Materials - CNPEM-
Autor(es): dc.creatorDodero-Rojas, Esteban-
Autor(es): dc.creatorFerreira, Luiza G.-
Autor(es): dc.creatorLeite, Vitor B.P. [UNESP]-
Autor(es): dc.creatorOnuchic, José N.-
Autor(es): dc.creatorContessoto, Vinícius G.-
Data de aceite: dc.date.accessioned2022-02-22T00:24:37Z-
Data de disponibilização: dc.date.available2022-02-22T00:24:37Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1371/journal.pone.0222900-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/198464-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/198464-
Descrição: dc.descriptionMosquito-borne diseases have become a significant health issue in many regions around the world. For tropical countries, diseases such as Dengue, Zika, and Chikungunya, became epidemic in the last decades. Health surveillance reports during this period were crucial in providing scientific-based information to guide decision making and resources allocation to control outbreaks. In this work, we perform data analysis of the last Chikungunya epidemics in the city of Rio de Janeiro by applying a compartmental mathematical model. Sensitivity analyses were performed in order to describe the contribution of each parameter to the outbreak incidence. We estimate the basic reproduction number for those outbreaks and predict the potential epidemic outbreak of the Mayaro virus. We also simulated several scenarios with different public interventions to decrease the number of infected people. Such scenarios should provide insights about possible strategies to control future outbreaks.-
Descrição: dc.descriptionCenter for Theoretical Biological Physics Rice University-
Descrição: dc.descriptionTheoretical and Computational Physics Laboratory University of Costa Rica-
Descrição: dc.descriptionDepartment of Chemistry Rice University-
Descrição: dc.descriptionDepartment of Physics Institute of Biosciences Letters and Exact Sciences São Paulo State University - UNESP-
Descrição: dc.descriptionDepartment of Physics and Astronomy Rice University-
Descrição: dc.descriptionDepartment of Biosciences Rice University-
Descrição: dc.descriptionBrazilian Biorenewables National Laboratory - LNBR Brazilian Center for Research in Energy and Materials - CNPEM-
Descrição: dc.descriptionDepartment of Physics Institute of Biosciences Letters and Exact Sciences São Paulo State University - UNESP-
Idioma: dc.languageen-
Relação: dc.relationPLoS ONE-
???dc.source???: dc.sourceScopus-
Título: dc.titleModeling Chikungunya control strategies and Mayaro potential outbreak in the city of Rio de Janeiro-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.