Spatiotemporal Bayesian modeling of the risk of congenital syphilis in São Paulo, SP, Brazil

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Autor(es): dc.contributorFederal University of Mato Grosso-
Autor(es): dc.contributorUniversitary Center FAVENI-
Autor(es): dc.contributorFaculty of Technology - FATEC-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorCruz, Renato Ferreira da-
Autor(es): dc.creatorRuberti, Joelma Alexandra-
Autor(es): dc.creatorMota, Thiago Santos-
Autor(es): dc.creatorSilveira, Liciana Vaz de Arruda-
Autor(es): dc.creatorChiaravalloti-Neto, Francisco-
Data de aceite: dc.date.accessioned2025-08-21T17:23:47Z-
Data de disponibilização: dc.date.available2025-08-21T17:23:47Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-06-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.sste.2024.100651-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308002-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308002-
Descrição: dc.descriptionThe aim of this study is to analyze the spatiotemporal risk of congenital syphilis (CS) in high-prevalence areas in the city of São Paulo, SP, Brazil, and to evaluate its relationship with socioeconomic, demographic, and environmental variables. An ecological study was conducted based on secondary CS data with spatiotemporal components collected from 310 areas between 2010 and 2016. The data were modeled in a Bayesian context using the integrated nested Laplace approximation (INLA) method. Risk maps showed an increasing CS trend over time and highlighted the areas that presented the highest and lowest risk in each year. The model showed that the factors positively associated with a higher risk of CS were the Gini index and the proportion of women aged 18–24 years without education or with incomplete primary education, while the factors negatively associated were the proportion of women of childbearing age and the mean per capita income.-
Descrição: dc.descriptionInstitute of Exact and Earth Sciences Araguaia University Campus - Unit II Federal University of Mato Grosso, 6390 Valdon Varjão Avenue, Mato Grosso-
Descrição: dc.descriptionUniversitary Center FAVENI, São Paulo-
Descrição: dc.descriptionFaculty of Technology - FATEC, São Paulo-
Descrição: dc.descriptionInstitute of Biosciences Department of Biostatistics São Paulo State University Júlio de Mesquita Filho, São Paulo-
Descrição: dc.descriptionUniversity of São Paulo at School of Public Health, São Paulo-
Descrição: dc.descriptionInstitute of Biosciences Department of Biostatistics São Paulo State University Júlio de Mesquita Filho, São Paulo-
Idioma: dc.languageen-
Relação: dc.relationSpatial and Spatio-temporal Epidemiology-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCongenital syphilis-
Palavras-chave: dc.subjectINLA-
Palavras-chave: dc.subjectRelative risks-
Palavras-chave: dc.subjectSpatiotemporal distribution-
Título: dc.titleSpatiotemporal Bayesian modeling of the risk of congenital syphilis in São Paulo, SP, Brazil-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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