SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.

Detalhes bibliográficos
Autor(a) principal: Barbosa, Isabelle Ribeiro
Data de Publicação: 2014
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Baiana de Saúde Pública (Online)
Texto Completo: https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/359
Resumo: This study presents the results of an ecological analysis of the spatial distribution of 4,739 new cases of tuberculosis in Rio Grande do Norte, Brazil, between 2006 and 2010. Global and Local empirical Bayesian methods were used in the analysis. Tuberculosis was found to be homogenously distributed and present at low incidence; additionally, incidence was underestimated in 17.96% of the municipalities. 
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spelling SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.Tuberculosisspatial distributionempirical Bayesian methods.This study presents the results of an ecological analysis of the spatial distribution of 4,739 new cases of tuberculosis in Rio Grande do Norte, Brazil, between 2006 and 2010. Global and Local empirical Bayesian methods were used in the analysis. Tuberculosis was found to be homogenously distributed and present at low incidence; additionally, incidence was underestimated in 17.96% of the municipalities. SESAB2014-02-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionestudo ecológico/ distribuição espacialapplication/pdfapplication/mswordapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttps://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/35910.22278/2318-2660.2013.v37.n2.a359Revista Baiana de Saúde Pública; v. 37 n. 2 (2013); 4522318-26600100-023310.22278/2318-2660.2013.v37.N2reponame:Revista Baiana de Saúde Pública (Online)instname:Secretaria da Saúde do Estado da Bahia (Sesab)instacron:IBICTporhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/359/pdf_418https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/359/1325https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/359/1387Barbosa, Isabelle Ribeiroinfo:eu-repo/semantics/openAccess2024-03-06T15:20:47Zoai:ojs.pkp.sfu.ca:article/359Revistahttps://rbsp.sesab.ba.gov.br/index.php/rbspPUBhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/oai||saude.revista@saude.ba.gov.br|| rbsp.saude@saude.ba.gov.br2318-26600100-0233opendoar:2024-03-06T12:57:07.126068Revista Baiana de Saúde Pública (Online) - Secretaria da Saúde do Estado da Bahia (Sesab)false
dc.title.none.fl_str_mv SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.
title SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.
spellingShingle SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.
Barbosa, Isabelle Ribeiro
Tuberculosis
spatial distribution
empirical Bayesian methods.
title_short SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.
title_full SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.
title_fullStr SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.
title_full_unstemmed SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.
title_sort SPATIAL DISTRIBUTION OF NEW CASES OF TUBERCULOSIS IN THE STATE OF RIO GRANDE DO NORTE, BRAZIL.
author Barbosa, Isabelle Ribeiro
author_facet Barbosa, Isabelle Ribeiro
author_role author
dc.contributor.author.fl_str_mv Barbosa, Isabelle Ribeiro
dc.subject.por.fl_str_mv Tuberculosis
spatial distribution
empirical Bayesian methods.
topic Tuberculosis
spatial distribution
empirical Bayesian methods.
description This study presents the results of an ecological analysis of the spatial distribution of 4,739 new cases of tuberculosis in Rio Grande do Norte, Brazil, between 2006 and 2010. Global and Local empirical Bayesian methods were used in the analysis. Tuberculosis was found to be homogenously distributed and present at low incidence; additionally, incidence was underestimated in 17.96% of the municipalities. 
publishDate 2014
dc.date.none.fl_str_mv 2014-02-26
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url https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/359
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https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/359/1387
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dc.publisher.none.fl_str_mv SESAB
publisher.none.fl_str_mv SESAB
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0100-0233
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