2012
DOI: 10.1590/s0037-86822012000500013
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Abstract: Introduction:The purpose of this ecological study was to evaluate the urban spatial and temporal distribution of tuberculosis (TB) in Ribeirão Preto, State of São Paulo, southeast Brazil, between 2006 and 2009 and to evaluate its relationship with factors of social vulnerability such as income and education level. Methods: We evaluated data from TBWeb, an electronic notification system for TB cases. Measures of social vulnerability were obtained from the SEADE Foundation, and information about the number of in… Show more

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Cited by 47 publications
(38 citation statements)
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References 33 publications
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“…Previously, we reported illiteracy as the predictor of PTB [8]. Furthermore, many other studies confirmed low level of education as social determinants for EPTB [23,24], which might be related to the fact that education might improve the standard of living, increase the awareness of health problem and encourage the seeking for medical care. Our results also demonstrated that smoking was not associated with EPTB.…”
Section: Discussionmentioning
confidence: 71%
“…Previously, we reported illiteracy as the predictor of PTB [8]. Furthermore, many other studies confirmed low level of education as social determinants for EPTB [23,24], which might be related to the fact that education might improve the standard of living, increase the awareness of health problem and encourage the seeking for medical care. Our results also demonstrated that smoking was not associated with EPTB.…”
Section: Discussionmentioning
confidence: 71%
“…Na ocasião da coleta dos dados, havia no município 40 unidades de saúde, classificadas em UBDSs, Unidades de Saúde da Família (USFs) e Unidades Básicas de Saúde (UBSs). Um mapa do município localizando as regiões de abrangência dessas unidades de saúde é apresentado por Roza et al 36 . As unidades de saúde foram então agrupadas em 10 estratos, de acordo com o distrito em que se localizam e o Índice Paulista de Vulnerabilidade Social (IPVS) predominante, sendo agrupadas em um mesmo estrato áreas com IPVS predominante igual a 1 ou 2, e em um mesmo estrato IPVS predominante igual ou maior do que 4.…”
Section: Plano Amostralunclassified
“…The estimation of the parameters of these models based on frequentist inference methods can be a difficult task due to the complexity of the likelihood function, and Bayesian methods provide a convenient alternative to deal with this model structure. This type of modeling is facilitated by the use of the software OpenBUGS, that allows sample simulation for CAR distribution and multivariate extension 55,56 . In a broader sense, these spatiotemporal models 57 can be classified as a type of hierarchical model.…”
Section: Spatiotemporal Modelingmentioning
confidence: 99%