Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality

Detalhes bibliográficos
Autor(a) principal: Lucia Helena Soares Camargo Marciano
Data de Publicação: 2018
Outros Autores: Andréa de Faria Fernandes Belone, Patrícia Sammarco Rosa, Neusa Maria Broch Coelho, Cássio César Ghidella, Susilene Maria Tonelli Nardi, William Cabral Miranda, Ligia Vizeu Barrozo, Joel Carlos Lastória
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cadernos de Saúde Pública
Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6835
Resumo: This study aimed to identify the distribution pattern of leprosy in a hyperendemic municipality in Brazil and determine its relationship with the clinico-epidemiological situation over 11 years. The geographic information system, MapInfo, spatial scan statistics and the Moran I index were used to analyze new cases. The digital cartographic base was used to map clusters of new paucibacillary and multibacillary cases and cases in minors under 15 years old. Socioeconomic indicators are shown using the choropleth mapping technique. A reduction in the detection coefficient, increases in high-risk spatial clusters, marked changes in the distribution of high-risk and low-risk clusters, and high-risk clusters of minors under 15 years old were observed from 2006 to 2010, showing recent illness, the presence of active foci, and overlapping of high-risk clusters of multibacillary infection in minors under 15 years old. Leprosy remains a public health problem in Rondonópolis, Mato Grosso State; the high-risk areas require an intensification of control measures and active search strategies to detect new cases.
id FIOCRUZ-5_6fbc74336718f2befe88e23f0074f099
oai_identifier_str oai:ojs.teste-cadernos.ensp.fiocruz.br:article/6835
network_acronym_str FIOCRUZ-5
network_name_str Cadernos de Saúde Pública
repository_id_str
spelling Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipalitySpatial AnalysisGeographic Information SystemsEpidemiologic FactorsThis study aimed to identify the distribution pattern of leprosy in a hyperendemic municipality in Brazil and determine its relationship with the clinico-epidemiological situation over 11 years. The geographic information system, MapInfo, spatial scan statistics and the Moran I index were used to analyze new cases. The digital cartographic base was used to map clusters of new paucibacillary and multibacillary cases and cases in minors under 15 years old. Socioeconomic indicators are shown using the choropleth mapping technique. A reduction in the detection coefficient, increases in high-risk spatial clusters, marked changes in the distribution of high-risk and low-risk clusters, and high-risk clusters of minors under 15 years old were observed from 2006 to 2010, showing recent illness, the presence of active foci, and overlapping of high-risk clusters of multibacillary infection in minors under 15 years old. Leprosy remains a public health problem in Rondonópolis, Mato Grosso State; the high-risk areas require an intensification of control measures and active search strategies to detect new cases.Este estudio tuvo como objetivo identificar la distribución de los patrones de lepra en una municipalidad hiperendémica en Brasil y determinar su relación con la situación clínico-epidemiológica durante 11 años. El sistema de información geográfica, MapInfo, estadísticas de escaneo espacial y el índice de Moran se usaron para analizar nuevos casos. La base cartográfica digital se usó para mapear clústeres de nuevos casos multibacilares y paucibacilares, así como casos en menores por debajo de 15 años de edad. Los indicadores socioeconómicos se presentan usando la técnica de mapeo de coropletas. La reducción en la detección del coeficiente, se incrementa en los clústeres de alto riesgo espaciales, asimismo, se observaron de 2006 a 2010 cambios considerables en la distribución de los clústeres de alto riesgo y bajo riesgo, así como en clústeres de alto riesgo con menores con menos de 15 años de edad, mostrando los casos de enfermedad reciente la presencia de focos activos, así como solapando clústeres de alto riesgo de infección multibacilar en menores por debajo de los 15 años de edad. La lepra continúa siendo un problema de salud pública en Rondonópolis, Mato Grosso; las áreas de alto riesgo necesitan una intensificación de las medidas de control y una búsqueda activa de estrategias, con el fin de detectar nuevos casos.O estudo teve como objetivos identificar o padrão de distribuição da hanseníase em um município brasileiro hiperendêmico e determinar a relação com o quadro clínico-epidemiológico ao longo de 11 anos. Os casos novos foram analisados com o sistema de informação geográfica, MapInfo, estatística scan espacial e índice Moran I. A base cartográfica digital foi usada para mapear os clusters de casos paucibacilares e multibacilares novos e casos em menores de 15 anos. Os indicadores socioeconômicos são mostrados através da técnica de mapeamento coroplético. Entre 2006 e 2010, foram observados uma redução no coeficiente de detecção, aumento no clusters espaciais de alto risco, mudanças marcantes na distribuição de clusters de alto e baixo risco e clusters de alto risco em menores de 15 anos, sugerindo doença recente, a presença de focos ativos e a sobreposição de clusters de alto risco para infecção multibacilar em menores de 15 anos. A hanseníase persiste enquanto problema de saúde pública em Rondonópolis, Mato Grosso; as áreas de alto risco exigem a intensificação de medidas de controle, além de estratégias de busca ativa para detectar casos novos.Reports in Public HealthCadernos de Saúde Pública2018-08-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6835Reports in Public Health; Vol. 34 No. 8 (2018): AugustCadernos de Saúde Pública; v. 34 n. 8 (2018): Agosto1678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZenghttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6835/14786https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6835/14787Lucia Helena Soares Camargo MarcianoAndréa de Faria Fernandes BelonePatrícia Sammarco RosaNeusa Maria Broch CoelhoCássio César GhidellaSusilene Maria Tonelli NardiWilliam Cabral MirandaLigia Vizeu BarrozoJoel Carlos Lastóriainfo:eu-repo/semantics/openAccess2024-03-06T15:29:34Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/6835Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:07:49.605119Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true
dc.title.none.fl_str_mv Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
title Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
spellingShingle Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
Lucia Helena Soares Camargo Marciano
Spatial Analysis
Geographic Information Systems
Epidemiologic Factors
title_short Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
title_full Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
title_fullStr Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
title_full_unstemmed Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
title_sort Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
author Lucia Helena Soares Camargo Marciano
author_facet Lucia Helena Soares Camargo Marciano
Andréa de Faria Fernandes Belone
Patrícia Sammarco Rosa
Neusa Maria Broch Coelho
Cássio César Ghidella
Susilene Maria Tonelli Nardi
William Cabral Miranda
Ligia Vizeu Barrozo
Joel Carlos Lastória
author_role author
author2 Andréa de Faria Fernandes Belone
Patrícia Sammarco Rosa
Neusa Maria Broch Coelho
Cássio César Ghidella
Susilene Maria Tonelli Nardi
William Cabral Miranda
Ligia Vizeu Barrozo
Joel Carlos Lastória
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lucia Helena Soares Camargo Marciano
Andréa de Faria Fernandes Belone
Patrícia Sammarco Rosa
Neusa Maria Broch Coelho
Cássio César Ghidella
Susilene Maria Tonelli Nardi
William Cabral Miranda
Ligia Vizeu Barrozo
Joel Carlos Lastória
dc.subject.por.fl_str_mv Spatial Analysis
Geographic Information Systems
Epidemiologic Factors
topic Spatial Analysis
Geographic Information Systems
Epidemiologic Factors
description This study aimed to identify the distribution pattern of leprosy in a hyperendemic municipality in Brazil and determine its relationship with the clinico-epidemiological situation over 11 years. The geographic information system, MapInfo, spatial scan statistics and the Moran I index were used to analyze new cases. The digital cartographic base was used to map clusters of new paucibacillary and multibacillary cases and cases in minors under 15 years old. Socioeconomic indicators are shown using the choropleth mapping technique. A reduction in the detection coefficient, increases in high-risk spatial clusters, marked changes in the distribution of high-risk and low-risk clusters, and high-risk clusters of minors under 15 years old were observed from 2006 to 2010, showing recent illness, the presence of active foci, and overlapping of high-risk clusters of multibacillary infection in minors under 15 years old. Leprosy remains a public health problem in Rondonópolis, Mato Grosso State; the high-risk areas require an intensification of control measures and active search strategies to detect new cases.
publishDate 2018
dc.date.none.fl_str_mv 2018-08-20
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://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6835
url https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6835
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6835/14786
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6835/14787
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
application/pdf
dc.publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
dc.source.none.fl_str_mv Reports in Public Health; Vol. 34 No. 8 (2018): August
Cadernos de Saúde Pública; v. 34 n. 8 (2018): Agosto
1678-4464
0102-311X
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br
_version_ 1798943387390312448