Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/130426 |
Resumo: | OBJECTIVE To analyze the spatial distribution of risk for tuberculosis and its socioeconomic determinants in the city of Rio de Janeiro, Brazil.METHODS An ecological study on the association between the mean incidence rate of tuberculosis from 2004 to 2006 and socioeconomic indicators of the Censo Demográfico (Demographic Census) of 2000. The unit of analysis was the home district registered in the Sistema de Informação de Agravos de Notificação (Notifiable Diseases Information System) of Rio de Janeiro, Southeastern Brazil. The rates were standardized by sex and age group, and smoothed by the empirical Bayes method. Spatial autocorrelation was evaluated by Moran’s I. Multiple linear regression models were studied and the appropriateness of incorporating the spatial component in modeling was evaluated.RESULTS We observed a higher risk of the disease in some neighborhoods of the port and north regions, as well as a high incidence in the slums of Rocinha and Vidigal, in the south region, and Cidade de Deus, in the west. The final model identified a positive association for the variables: percentage of permanent private households in which the head of the house earns three to five minimum wages; percentage of individual residents in the neighborhood; and percentage of people living in homes with more than two people per bedroom.CONCLUSIONS The spatial analysis identified areas of risk of tuberculosis incidence in the neighborhoods of the city of Rio de Janeiro and also found spatial dependence for the incidence of tuberculosis and some socioeconomic variables. However, the inclusion of the space component in the final model was not required during the modeling process. |
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Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, BrasilSpatial distribution and socioeconomic context of tuberculosis in Rio de Janeiro, BrazilTuberculoseEpidemiologiaAnálise EspacialFatores de RiscoFatores SocioeconômicosModelos LinearesTuberculosisepidemiologySpatial AnalysisRisk FactorsSocioeconomic FactorsLinear ModelsOBJECTIVE To analyze the spatial distribution of risk for tuberculosis and its socioeconomic determinants in the city of Rio de Janeiro, Brazil.METHODS An ecological study on the association between the mean incidence rate of tuberculosis from 2004 to 2006 and socioeconomic indicators of the Censo Demográfico (Demographic Census) of 2000. The unit of analysis was the home district registered in the Sistema de Informação de Agravos de Notificação (Notifiable Diseases Information System) of Rio de Janeiro, Southeastern Brazil. The rates were standardized by sex and age group, and smoothed by the empirical Bayes method. Spatial autocorrelation was evaluated by Moran’s I. Multiple linear regression models were studied and the appropriateness of incorporating the spatial component in modeling was evaluated.RESULTS We observed a higher risk of the disease in some neighborhoods of the port and north regions, as well as a high incidence in the slums of Rocinha and Vidigal, in the south region, and Cidade de Deus, in the west. The final model identified a positive association for the variables: percentage of permanent private households in which the head of the house earns three to five minimum wages; percentage of individual residents in the neighborhood; and percentage of people living in homes with more than two people per bedroom.CONCLUSIONS The spatial analysis identified areas of risk of tuberculosis incidence in the neighborhoods of the city of Rio de Janeiro and also found spatial dependence for the incidence of tuberculosis and some socioeconomic variables. However, the inclusion of the space component in the final model was not required during the modeling process.OBJETIVO Analisar a distribuição espacial de sobrerrisco para tuberculose e seus determinantes socioeconômicos no município do Rio de Janeiro.MÉTODOS Estudo ecológico sobre a associação entre a média da taxa de incidência da tuberculose de 2004 a 2006 e indicadores socioeconômicos do Censo Demográfico do ano 2000. A unidade de análise foi o bairro de residência registrado no Sistema de Informação de Agravos de Notificação do município do Rio de Janeiro, RJ. As taxas foram padronizadas por sexo e faixa etária e suavizadas pelo método bayesiano empírico. A autocorrelação espacial foi avaliada pelo índice de Moran. Foram estudados modelos de regressão linear múltipla e avaliada a pertinência de incorporar o componente espacial na modelagem.RESULTADOS Observou-se risco maior de adoecimento em alguns bairros da zona portuária e zona norte, além de grande incidência nas favelas da Rocinha e Vidigal, na zona sul e Cidade de Deus, na zona oeste. O modelo final identificou associação positiva para as variáveis: percentual de domicílios particulares permanentes em que o responsável recebia de três a cinco salários mínimos; percentual de moradores individuais no bairro; e percentual de pessoas que viviam em domicílio com mais de duas pessoas por dormitório.CONCLUSÕES A análise espacial identificou áreas de sobrerrisco de incidência da tuberculose nos bairros do município do Rio de Janeiro e encontrou dependência espacial para a incidência de tuberculose e algumas variáveis socioeconômicas. Entretanto, a inclusão do componente espacial, no modelo final, não se mostrou necessária durante o processo de modelagem.Universidade de São Paulo. Faculdade de Saúde Pública2015-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://www.revistas.usp.br/rsp/article/view/13042610.1590/S0034-8910.2015049005470Revista de Saúde Pública; Vol. 49 (2015); 48Revista de Saúde Pública; Vol. 49 (2015); 48Revista de Saúde Pública; v. 49 (2015); 481518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPengporhttps://www.revistas.usp.br/rsp/article/view/130426/126816https://www.revistas.usp.br/rsp/article/view/130426/126817Copyright (c) 2017 Revista de Saúde Públicainfo:eu-repo/semantics/openAccessPereira, Alessandra Gonçalves LisbôaMedronho, Roberto de AndradeEscosteguy, Claudia CaminhaValencia, Luis Iván OrtizMagalhães, Mônica de Avelar Figueiredo Mafra2017-09-27T11:03:37Zoai:revistas.usp.br:article/130426Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2017-09-27T11:03:37Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil Spatial distribution and socioeconomic context of tuberculosis in Rio de Janeiro, Brazil |
title |
Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil |
spellingShingle |
Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil Pereira, Alessandra Gonçalves Lisbôa Tuberculose Epidemiologia Análise Espacial Fatores de Risco Fatores Socioeconômicos Modelos Lineares Tuberculosis epidemiology Spatial Analysis Risk Factors Socioeconomic Factors Linear Models |
title_short |
Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil |
title_full |
Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil |
title_fullStr |
Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil |
title_full_unstemmed |
Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil |
title_sort |
Distribuição espacial e contexto socioeconômico da tuberculose, Rio de Janeiro, Brasil |
author |
Pereira, Alessandra Gonçalves Lisbôa |
author_facet |
Pereira, Alessandra Gonçalves Lisbôa Medronho, Roberto de Andrade Escosteguy, Claudia Caminha Valencia, Luis Iván Ortiz Magalhães, Mônica de Avelar Figueiredo Mafra |
author_role |
author |
author2 |
Medronho, Roberto de Andrade Escosteguy, Claudia Caminha Valencia, Luis Iván Ortiz Magalhães, Mônica de Avelar Figueiredo Mafra |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Pereira, Alessandra Gonçalves Lisbôa Medronho, Roberto de Andrade Escosteguy, Claudia Caminha Valencia, Luis Iván Ortiz Magalhães, Mônica de Avelar Figueiredo Mafra |
dc.subject.por.fl_str_mv |
Tuberculose Epidemiologia Análise Espacial Fatores de Risco Fatores Socioeconômicos Modelos Lineares Tuberculosis epidemiology Spatial Analysis Risk Factors Socioeconomic Factors Linear Models |
topic |
Tuberculose Epidemiologia Análise Espacial Fatores de Risco Fatores Socioeconômicos Modelos Lineares Tuberculosis epidemiology Spatial Analysis Risk Factors Socioeconomic Factors Linear Models |
description |
OBJECTIVE To analyze the spatial distribution of risk for tuberculosis and its socioeconomic determinants in the city of Rio de Janeiro, Brazil.METHODS An ecological study on the association between the mean incidence rate of tuberculosis from 2004 to 2006 and socioeconomic indicators of the Censo Demográfico (Demographic Census) of 2000. The unit of analysis was the home district registered in the Sistema de Informação de Agravos de Notificação (Notifiable Diseases Information System) of Rio de Janeiro, Southeastern Brazil. The rates were standardized by sex and age group, and smoothed by the empirical Bayes method. Spatial autocorrelation was evaluated by Moran’s I. Multiple linear regression models were studied and the appropriateness of incorporating the spatial component in modeling was evaluated.RESULTS We observed a higher risk of the disease in some neighborhoods of the port and north regions, as well as a high incidence in the slums of Rocinha and Vidigal, in the south region, and Cidade de Deus, in the west. The final model identified a positive association for the variables: percentage of permanent private households in which the head of the house earns three to five minimum wages; percentage of individual residents in the neighborhood; and percentage of people living in homes with more than two people per bedroom.CONCLUSIONS The spatial analysis identified areas of risk of tuberculosis incidence in the neighborhoods of the city of Rio de Janeiro and also found spatial dependence for the incidence of tuberculosis and some socioeconomic variables. However, the inclusion of the space component in the final model was not required during the modeling process. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/130426 10.1590/S0034-8910.2015049005470 |
url |
https://www.revistas.usp.br/rsp/article/view/130426 |
identifier_str_mv |
10.1590/S0034-8910.2015049005470 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/130426/126816 https://www.revistas.usp.br/rsp/article/view/130426/126817 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Revista de Saúde Pública info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Revista de Saúde Pública |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 49 (2015); 48 Revista de Saúde Pública; Vol. 49 (2015); 48 Revista de Saúde Pública; v. 49 (2015); 48 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
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Universidade de São Paulo (USP) |
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USP |
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USP |
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Revista de Saúde Pública |
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Revista de Saúde Pública |
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Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
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1800221797743853568 |