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Use este identificador para citar ou linkar para este item: https://repositorio.ufba.br/handle/ri/17652
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dc.contributor.authorScholte, Ronaldo G. C.-
dc.contributor.authorSchur, Nadine-
dc.contributor.authorBavia, Maria Emília-
dc.contributor.authorCarvalho Filho, Edgar Marcelino de-
dc.contributor.authorChammartin, Frédérique-
dc.contributor.authorUtzinger, Jürg-
dc.contributor.authorVounatsou, Penelope-
dc.creatorScholte, Ronaldo G. C.-
dc.creatorSchur, Nadine-
dc.creatorBavia, Maria Emília-
dc.creatorCarvalho Filho, Edgar Marcelino de-
dc.creatorChammartin, Frédérique-
dc.creatorUtzinger, Jürg-
dc.creatorVounatsou, Penelope-
dc.date.accessioned2015-05-11T14:39:30Z-
dc.date.issued2013-
dc.identifier.issn1827-1987-
dc.identifier.urihttp://repositorio.ufba.br/ri/handle/ri/17652-
dc.descriptionTexto completo: acesso restrito. p.97-110pt_BR
dc.description.abstractSoil-transmitted helminths (Ascaris lumbricoides, Trichuris trichiura and hookworm) negatively impact the health and wellbeing of hundreds of millions of people, particularly in tropical and subtropical countries, including Brazil. Reliable maps of the spatial distribution and estimates of the number of infected people are required for the control and eventual elimination of soil-transmitted helminthiasis. We used advanced Bayesian geostatistical modelling, coupled with geographical information systems and remote sensing to visualize the distribution of the three soil-transmitted helminth species in Brazil. Remotely sensed climatic and environmental data, along with socioeconomic variables from readily available databases were employed as predictors. Our models provided mean prevalence estimates for A. lumbricoides, T. trichiura and hookworm of 15.6%, 10.1% and 2.5%, respectively. By considering infection risk and population numbers at the unit of the municipality, we estimate that 29.7 million Brazilians are infected with A. lumbricoides, 19.2 million with T. trichiura and 4.7 million with hookworm. Our model-based maps identified important risk factors related to the transmission of soiltransmitted helminths and confirm that environmental variables are closely associated with indices of poverty. Our smoothed risk maps, including uncertainty, highlight areas where soil-transmitted helminthiasis control interventions are most urgently required, namely in the North and along most of the coastal areas of Brazil. We believe that our predictive risk maps are useful for disease control managers for prioritising control interventions and for providing a tool for more efficient surveillance-response mechanisms.pt_BR
dc.language.isoenpt_BR
dc.rightsAcesso Abertopt_BR
dc.sourcehttp://dx.doi.org/10.4081/gh.2013.58pt_BR
dc.subjectBayesian modellingpt_BR
dc.subjectGeographical information systempt_BR
dc.subjectRemote sensingpt_BR
dc.subjectSoil-transmitted helminthspt_BR
dc.subjectVariable selectionpt_BR
dc.subjectBrazilpt_BR
dc.titleSpatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical modelspt_BR
dc.title.alternativeGeospatial Healthpt_BR
dc.typeArtigo de Periódicopt_BR
dc.identifier.numberv. 8, n. 1pt_BR
dc.embargo.liftdate10000-01-01-
Aparece nas coleções:Artigo Publicado em Periódico (Faculdade de Medicina)

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