Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012

Detalhes bibliográficos
Autor(a) principal: Monteiro,Lorena Dias
Data de Publicação: 2015
Outros Autores: Martins-Melo,Francisco Rogerlândio, Brito,Aline Lima, 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=S0034-89102015000100265
Resumo: ABSTRACT OBJECTIVE To describe the spatial patterns of leprosy in the Brazilian state of Tocantins. METHODS This study was based on morbidity data obtained from the Sistema de Informações de Agravos de Notificação (SINAN – Brazilian Notifiable Diseases Information System), of the Ministry of Health. All new leprosy cases in individuals residing in the state of Tocantins, between 2001 and 2012, were included. In addition to the description of general disease indicators, a descriptive spatial analysis, empirical Bayesian analysis and spatial dependence analysis were performed by means of global and local Moran’s indexes. RESULTS A total of 14,542 new cases were recorded during the period under study. Based on the annual case detection rate, 77.0% of the municipalities were classified as hyperendemic (> 40 cases/100,000 inhabitants). Regarding the annual case detection rate in < 15 years-olds, 65.4% of the municipalities were hyperendemic (10.0 to 19.9 cases/100,000 inhabitants); 26.6% had a detection rate of grade 2 disability cases between 5.0 and 9.9 cases/100,000 inhabitants. There was a geographical overlap of clusters of municipalities with high detection rates in hyperendemic areas. Clusters with high disease risk (global Moran’s index: 0.51; p < 0.001), ongoing transmission (0.47; p < 0.001) and late diagnosis (0.44; p < 0.001) were identified mainly in the central-north and southwestern regions of Tocantins. CONCLUSIONS We identified high-risk clusters for transmission and late diagnosis of leprosy in the Brazilian state of Tocantins. Surveillance and control measures should be prioritized in these high-risk municipalities.
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spelling Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012Leprosy, epidemiologySpatial AnalysisEndemic DiseasesNeglected DiseasesEpidemiological SurveillanceABSTRACT OBJECTIVE To describe the spatial patterns of leprosy in the Brazilian state of Tocantins. METHODS This study was based on morbidity data obtained from the Sistema de Informações de Agravos de Notificação (SINAN – Brazilian Notifiable Diseases Information System), of the Ministry of Health. All new leprosy cases in individuals residing in the state of Tocantins, between 2001 and 2012, were included. In addition to the description of general disease indicators, a descriptive spatial analysis, empirical Bayesian analysis and spatial dependence analysis were performed by means of global and local Moran’s indexes. RESULTS A total of 14,542 new cases were recorded during the period under study. Based on the annual case detection rate, 77.0% of the municipalities were classified as hyperendemic (> 40 cases/100,000 inhabitants). Regarding the annual case detection rate in < 15 years-olds, 65.4% of the municipalities were hyperendemic (10.0 to 19.9 cases/100,000 inhabitants); 26.6% had a detection rate of grade 2 disability cases between 5.0 and 9.9 cases/100,000 inhabitants. There was a geographical overlap of clusters of municipalities with high detection rates in hyperendemic areas. Clusters with high disease risk (global Moran’s index: 0.51; p < 0.001), ongoing transmission (0.47; p < 0.001) and late diagnosis (0.44; p < 0.001) were identified mainly in the central-north and southwestern regions of Tocantins. CONCLUSIONS We identified high-risk clusters for transmission and late diagnosis of leprosy in the Brazilian state of Tocantins. Surveillance and control measures should be prioritized in these high-risk municipalities. Faculdade de Saúde Pública da Universidade de São Paulo2015-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100265Revista de Saúde Pública v.49 2015reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-8910.2015049005866info:eu-repo/semantics/openAccessMonteiro,Lorena DiasMartins-Melo,Francisco RogerlândioBrito,Aline LimaAlencar,Carlos HenriqueHeukelbach,Jorgeng2016-01-22T00:00:00Zoai:scielo:S0034-89102015000100265Revistahttp://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:2016-01-22T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012
title Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012
spellingShingle Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012
Monteiro,Lorena Dias
Leprosy, epidemiology
Spatial Analysis
Endemic Diseases
Neglected Diseases
Epidemiological Surveillance
title_short Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012
title_full Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012
title_fullStr Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012
title_full_unstemmed Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012
title_sort Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012
author Monteiro,Lorena Dias
author_facet Monteiro,Lorena Dias
Martins-Melo,Francisco Rogerlândio
Brito,Aline Lima
Alencar,Carlos Henrique
Heukelbach,Jorg
author_role author
author2 Martins-Melo,Francisco Rogerlândio
Brito,Aline Lima
Alencar,Carlos Henrique
Heukelbach,Jorg
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Monteiro,Lorena Dias
Martins-Melo,Francisco Rogerlândio
Brito,Aline Lima
Alencar,Carlos Henrique
Heukelbach,Jorg
dc.subject.por.fl_str_mv Leprosy, epidemiology
Spatial Analysis
Endemic Diseases
Neglected Diseases
Epidemiological Surveillance
topic Leprosy, epidemiology
Spatial Analysis
Endemic Diseases
Neglected Diseases
Epidemiological Surveillance
description ABSTRACT OBJECTIVE To describe the spatial patterns of leprosy in the Brazilian state of Tocantins. METHODS This study was based on morbidity data obtained from the Sistema de Informações de Agravos de Notificação (SINAN – Brazilian Notifiable Diseases Information System), of the Ministry of Health. All new leprosy cases in individuals residing in the state of Tocantins, between 2001 and 2012, were included. In addition to the description of general disease indicators, a descriptive spatial analysis, empirical Bayesian analysis and spatial dependence analysis were performed by means of global and local Moran’s indexes. RESULTS A total of 14,542 new cases were recorded during the period under study. Based on the annual case detection rate, 77.0% of the municipalities were classified as hyperendemic (> 40 cases/100,000 inhabitants). Regarding the annual case detection rate in < 15 years-olds, 65.4% of the municipalities were hyperendemic (10.0 to 19.9 cases/100,000 inhabitants); 26.6% had a detection rate of grade 2 disability cases between 5.0 and 9.9 cases/100,000 inhabitants. There was a geographical overlap of clusters of municipalities with high detection rates in hyperendemic areas. Clusters with high disease risk (global Moran’s index: 0.51; p < 0.001), ongoing transmission (0.47; p < 0.001) and late diagnosis (0.44; p < 0.001) were identified mainly in the central-north and southwestern regions of Tocantins. CONCLUSIONS We identified high-risk clusters for transmission and late diagnosis of leprosy in the Brazilian state of Tocantins. Surveillance and control measures should be prioritized in these high-risk municipalities.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
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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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100265
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100265
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0034-8910.2015049005866
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.49 2015
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
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