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dc.contributor.authorKersul, Maíra Guimarãespt_BR
dc.contributor.authorAbreu, Filipe Vieira Santos dept_BR
dc.contributor.authorSantos, Adriano Pinter dospt_BR
dc.contributor.authorCampos, Fabrício Souzapt_BR
dc.contributor.authorAndrade, Miguel de Souzapt_BR
dc.contributor.authorTeixeira, Danilo Simoninipt_BR
dc.contributor.authorAlmeida, Marco Antonio Barreto dept_BR
dc.contributor.authorRoehe, Paulo Michelpt_BR
dc.contributor.authorFranco, Ana Claudiapt_BR
dc.contributor.authorCampos, Aline Alves Scarpellinipt_BR
dc.contributor.authorAlbuquerque, George Rêgopt_BR
dc.contributor.authorRibeiro, Bergmann Moraispt_BR
dc.contributor.authorSevá, Anaiá da Paixãopt_BR
dc.date.accessioned2024-12-06T06:42:11Zpt_BR
dc.date.issued2024pt_BR
dc.identifier.issn1932-6203pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/282133pt_BR
dc.description.abstractThe Atlantic Forest Biome (AFB) creates an ideal environment for the proliferation of vector mosquitoes, such as Haemagogus and Sabethes species, which transmit the Yellow Fever virus (YFV) to both human and non-human primates (NHP) (particularly Alouatta sp. and Callithrix sp.). From 2016 to 2020, 748 fatal cases of YF in humans and 1,763 in NHPs were reported in this biome, following several years free from the disease. This underscores the imminent risk posed by the YFV. In this study, we examined the spatiotemporal distribution patterns of YF cases in both NHPs and humans across the entire AFB during the outbreak period, using a generalized linear mixed regression model (GLMM) at the municipal level. Our analysis examined factors associated with the spread of YFV, including environmental characteristics, climate conditions, human vaccination coverage, and the presence of two additional YFV-affected NHP species. The occurrence of epizootics has been directly associated with natural forest formations and the presence of species within the Callithrix genus. Additionally, epizootics have been shown to be directly associated with human prevalence. Furthermore, human prevalence showed an inverse correlation with urban areas, temporary croplands, and savannah and grassland areas. Further analyses using Moran’s Index to incorporate the neighborhoods of municipalities with cases in each studied host revealed additional variables, such as altitude, which showed a positive correlation. Additionally, the occurrence of the disease in both hosts exhibited a spatio-temporal distribution pattern. To effectively mitigate the spread of the virus, it is necessary to proactively expand vaccination coverage, refine NHP surveillance strategies, and enhance entomological surveillance in both natural and modified environments.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofPloS one. San Francisco. Vol. 19, no. 10 (2024), e0308560, 27 p.pt_BR
dc.rightsOpen Accessen
dc.subjectDoenças transmitidas por vetorespt_BR
dc.subjectFebre amarelapt_BR
dc.subjectVírus da febre amarelapt_BR
dc.subjectControle de vetores de doençaspt_BR
dc.subjectMonitoramento epidemiológicopt_BR
dc.subjectMata Atlânticapt_BR
dc.titleExploring environmental and climate features associated with yellow fever across space and time in the Brazilian Atlantic Forest biomept_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001212925pt_BR
dc.type.originEstrangeiropt_BR


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