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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/111794
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dc.contributor.authorCardoso-Leite, Ricardo-
dc.contributor.authorVilarinho, Ana Carolina-
dc.contributor.authorNovaes, Marcos Carneiro-
dc.contributor.authorTonetto, Aurelio Fajar-
dc.contributor.authorVilardi, Gabriel Cestari-
dc.contributor.authorGuillermo-Ferreira, Rhainer-
dc.date.accessioned2014-12-03T13:08:59Z-
dc.date.accessioned2016-10-25T20:09:45Z-
dc.date.available2014-12-03T13:08:59Z-
dc.date.available2016-10-25T20:09:45Z-
dc.date.issued2014-02-01-
dc.identifierhttp://dx.doi.org/10.1093/trstmh/trt115-
dc.identifier.citationTransactions Of The Royal Society Of Tropical Medicine And Hygiene. Oxford: Oxford Univ Press, v. 108, n. 2, p. 99-104, 2014.-
dc.identifier.issn0035-9203-
dc.identifier.urihttp://hdl.handle.net/11449/111794-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/111794-
dc.description.abstractBackground: Dengue fever is a mosquito-borne disease that affects more than 2.5 billion people worldwide. Here, we used the dataset of municipality infestation level from the Brazilian Health Ministry with the aim of building vector distribution models to identify epidemiological hotspots.Methods: Maxent software was used to predict the environmental suitability of the vector under current and 2050 climatic conditions. We built potential risk maps for current and future epidemiological scenarios in order to provide data for vector control planning.Results: The results showed that the current epidemiological status is critical in the coastal region, with 80% of the population in risk areas and 30% in epidemiological outbreak areas. Our results also suggest that the area covered by the vector distribution in Brazil will decrease in future projections in the north, but will spread to the south.Conclusions: The results may provide useful information for health agencies and policymakers in focusing efforts in epidemiological hotspots. Therefore, understanding the niche distribution dynamics of Aedes aegypti is an important step towards public health planning for vector control.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.format.extent99-104-
dc.language.isoeng-
dc.publisherOxford University Press-
dc.sourceWeb of Science-
dc.subjectBrazilen
dc.subjectCulicidaeen
dc.subjectDengueen
dc.subjectDipteraen
dc.subjectEpidemicsen
dc.subjectInsect vectorsen
dc.titleRecent and future environmental suitability to dengue fever in Brazil using species distribution modelen
dc.typeoutro-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionFaculdade de Medicina de Marília (FAMEMA)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Federal de Rondônia (UNIR)-
dc.description.affiliationUniv Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Preto, Dept Biol, Ribeirao Preto, SP, Brazil-
dc.description.affiliationFac Med Marilia, Sao Paulo, Brazil-
dc.description.affiliationUniv Estadual Paulista, Sao Paulo, Brazil-
dc.description.affiliationFundacao Univ Fed Rondonia, Rondonia, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Sao Paulo, Brazil-
dc.description.sponsorshipIdFAPESP: 13/00406-7-
dc.identifier.doi10.1093/trstmh/trt115-
dc.identifier.wosWOS:000330894000007-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofTransactions of the Royal Society of Tropical Medicine and Hygiene-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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