Social determinants of leprosy in a hyperendemic State in North Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
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) |
instacron_str |
USP |
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 |
_version_ |
1748936504172871680 |