Social determinants of leprosy in a hyperendemic State in North Brazil

Detalhes bibliográficos
Autor(a) principal: Monteiro,Lorena Dias
Data de Publicação: 2017
Outros Autores: Mota,Rosa Maria Salani, Martins-Melo,Francisco Rogerlândio, Alencar,Carlos Henrique, Heukelbach,Jorg
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100260
Resumo: ABSTRACT OBJECTIVE To identify the socioeconomic, demographic, operational, and health service-related factors associated with the occurrence of leprosy in a hyperendemic State in North Brazil. METHODS This is an ecological study based on secondary data from the Sistema de Informações de Agravos de Notificação in municipalities of the State of Tocantins from 2001 to 2012. Units of analysis were the 139 municipalities of the State. Negative binomial log linear regression models were used to estimate incidence rate ratios. RESULTS In bivariate analysis, the incidence rate ratios were significantly higher for municipalities with higher income ratio of the poorest 20.0% (1.47; 95%CI 1.19–1.81) and better Municipal Human Development Index (1.53; 95%CI 1.14–2.06). In multivariate analysis, the incidence rate ratios were significantly higher in municipalities with higher proportion of immigrants (1.31; 95%CI 1.11–1.55) and higher proportion of households with waste collection (1.37; 95%CI 1.11–1.69). There was a significant reduction in the incidence rate ratio with increased coverage of the Bolsa Família Program (0.98; 95%CI 0.96–0.99). CONCLUSIONS Control programs need to focus on activities in municipalities of greater social vulnerability with intersectoral investment for the improvement of the living conditions of the population.
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spelling Social determinants of leprosy in a hyperendemic State in North BrazilLeprosy, epidemiologySocioeconomic FactorsNeglected Diseases, prevention & controlHealth InequalitiesABSTRACT OBJECTIVE To identify the socioeconomic, demographic, operational, and health service-related factors associated with the occurrence of leprosy in a hyperendemic State in North Brazil. METHODS This is an ecological study based on secondary data from the Sistema de Informações de Agravos de Notificação in municipalities of the State of Tocantins from 2001 to 2012. Units of analysis were the 139 municipalities of the State. Negative binomial log linear regression models were used to estimate incidence rate ratios. RESULTS In bivariate analysis, the incidence rate ratios were significantly higher for municipalities with higher income ratio of the poorest 20.0% (1.47; 95%CI 1.19–1.81) and better Municipal Human Development Index (1.53; 95%CI 1.14–2.06). In multivariate analysis, the incidence rate ratios were significantly higher in municipalities with higher proportion of immigrants (1.31; 95%CI 1.11–1.55) and higher proportion of households with waste collection (1.37; 95%CI 1.11–1.69). There was a significant reduction in the incidence rate ratio with increased coverage of the Bolsa Família Program (0.98; 95%CI 0.96–0.99). CONCLUSIONS Control programs need to focus on activities in municipalities of greater social vulnerability with intersectoral investment for the improvement of the living conditions of the population.Faculdade de Saúde Pública da Universidade de São Paulo2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100260Revista de Saúde Pública v.51 2017reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/s1518-8787.2017051006655info:eu-repo/semantics/openAccessMonteiro,Lorena DiasMota,Rosa Maria SalaniMartins-Melo,Francisco RogerlândioAlencar,Carlos HenriqueHeukelbach,Jorgeng2017-08-04T00:00:00Zoai:scielo:S0034-89102017000100260Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2017-08-04T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Social determinants of leprosy in a hyperendemic State in North Brazil
title Social determinants of leprosy in a hyperendemic State in North Brazil
spellingShingle Social determinants of leprosy in a hyperendemic State in North Brazil
Monteiro,Lorena Dias
Leprosy, epidemiology
Socioeconomic Factors
Neglected Diseases, prevention & control
Health Inequalities
title_short Social determinants of leprosy in a hyperendemic State in North Brazil
title_full Social determinants of leprosy in a hyperendemic State in North Brazil
title_fullStr Social determinants of leprosy in a hyperendemic State in North Brazil
title_full_unstemmed Social determinants of leprosy in a hyperendemic State in North Brazil
title_sort Social determinants of leprosy in a hyperendemic State in North Brazil
author Monteiro,Lorena Dias
author_facet Monteiro,Lorena Dias
Mota,Rosa Maria Salani
Martins-Melo,Francisco Rogerlândio
Alencar,Carlos Henrique
Heukelbach,Jorg
author_role author
author2 Mota,Rosa Maria Salani
Martins-Melo,Francisco Rogerlândio
Alencar,Carlos Henrique
Heukelbach,Jorg
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Monteiro,Lorena Dias
Mota,Rosa Maria Salani
Martins-Melo,Francisco Rogerlândio
Alencar,Carlos Henrique
Heukelbach,Jorg
dc.subject.por.fl_str_mv Leprosy, epidemiology
Socioeconomic Factors
Neglected Diseases, prevention & control
Health Inequalities
topic Leprosy, epidemiology
Socioeconomic Factors
Neglected Diseases, prevention & control
Health Inequalities
description ABSTRACT OBJECTIVE To identify the socioeconomic, demographic, operational, and health service-related factors associated with the occurrence of leprosy in a hyperendemic State in North Brazil. METHODS This is an ecological study based on secondary data from the Sistema de Informações de Agravos de Notificação in municipalities of the State of Tocantins from 2001 to 2012. Units of analysis were the 139 municipalities of the State. Negative binomial log linear regression models were used to estimate incidence rate ratios. RESULTS In bivariate analysis, the incidence rate ratios were significantly higher for municipalities with higher income ratio of the poorest 20.0% (1.47; 95%CI 1.19–1.81) and better Municipal Human Development Index (1.53; 95%CI 1.14–2.06). In multivariate analysis, the incidence rate ratios were significantly higher in municipalities with higher proportion of immigrants (1.31; 95%CI 1.11–1.55) and higher proportion of households with waste collection (1.37; 95%CI 1.11–1.69). There was a significant reduction in the incidence rate ratio with increased coverage of the Bolsa Família Program (0.98; 95%CI 0.96–0.99). CONCLUSIONS Control programs need to focus on activities in municipalities of greater social vulnerability with intersectoral investment for the improvement of the living conditions of the population.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100260
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100260
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s1518-8787.2017051006655
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.51 2017
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
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institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv 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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