Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , |
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. |
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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 |