LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Hygeia (Uberlândia) |
Texto Completo: | https://seer.ufu.br/index.php/hygeia/article/view/62444 |
Resumo: | Objective: To analyze leprosy indicators aiming to identify areas of greatest risk of transmission in Pará, from 2004 to 2018. Methods: Ecological study using secondary data from the Notifiable Diseases Information System. By Joinpoint regression, 11 indicators were analyzed, Poisson probability analyzed the three main ones and SaTScan™ had clusters of municipalities with high risk of transmission. It was considered significant p <0.05. Results: Of the 57,504 new cases, 11.18% (6,431) were children under 15 years old, and 6.69% (3,793) had grade 2 physical disability (GIF II) on the diagnosis. Significantly, the trends in the rates analyzed decreased; the proportions of GIF II at diagnosis (mean annual percentage change [AAPC]=6.8%), multibacillary cases (AAPC=2.3%), dimorphic clinical form (AAPC=2.1%) and examined contacts (AAPC=5.9%) increased. Detection in the general population was hyperendemic in all clusters. Conclusion: In Pará, leprosy is diagnosed in polarized forms and with GIF II, with transmission in areas with the highest migratory flow. |
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LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION HANSENÍASE EM UM ESTADO HIPERENDÊMICO: TENDÊNCIA SEGMENTAR E IDENTIFICAÇÃO DE AGLOMERADOS ESPACIAIS DE ALTO RISCO DE TRANSMISSÃOHanseníaseIndicador de SaúdeDoença NegligenciadaAnálise EspacialLeprosyHealth Status IndicatorsNeglected DiseasesSpatial AnalysisObjective: To analyze leprosy indicators aiming to identify areas of greatest risk of transmission in Pará, from 2004 to 2018. Methods: Ecological study using secondary data from the Notifiable Diseases Information System. By Joinpoint regression, 11 indicators were analyzed, Poisson probability analyzed the three main ones and SaTScan™ had clusters of municipalities with high risk of transmission. It was considered significant p <0.05. Results: Of the 57,504 new cases, 11.18% (6,431) were children under 15 years old, and 6.69% (3,793) had grade 2 physical disability (GIF II) on the diagnosis. Significantly, the trends in the rates analyzed decreased; the proportions of GIF II at diagnosis (mean annual percentage change [AAPC]=6.8%), multibacillary cases (AAPC=2.3%), dimorphic clinical form (AAPC=2.1%) and examined contacts (AAPC=5.9%) increased. Detection in the general population was hyperendemic in all clusters. Conclusion: In Pará, leprosy is diagnosed in polarized forms and with GIF II, with transmission in areas with the highest migratory flow.Objetivo: Analisar indicadores de hanseníase visando a identificação de áreas de maior risco de transmissão no Pará, de 2004 a 2018. Métodos: Estudo ecológico por dados do Sistema de Informação de Agravos de Notificação (SINAN). Pela regressão Joinpoint analisou-se 11 indicadores, pela probabilidade de Poisson analisou-se os três principais e pelo SaTScan™ dispôs-se aglomerados de municípios com alto risco de transmissão. Considerou-se significante p <0,05. Resultados: Dos 57.504 casos novos, menores de 15 anos foram 11,18% (6.431) e 6,69% (3.793) tiveram incapacidade física grau 2 (GIF II) no diagnóstico. Com significância estatística, as tendências das taxas analisadas decresceram; as proporções de GIF II no diagnóstico (variação percentual anual média [AAPC]=6,8%), casos multibacilares (AAPC=2,3%), casos de forma clínica dimorfa (AAPC=2,1%) e contatos examinados (AAPC=5,9%) cresceram. A detecção na população geral foi hiperendêmica nos aglomerados. Conclusão: No Pará há diagnóstico de hanseníase em formas polarizadas e com GIF II, com transmissão nas áreas de maior fluxo migratório.Universidade Federal de Uberlândia2022-11-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/hygeia/article/view/6244410.14393/Hygeia1862444Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 18 (2022); 259–2701980-1726reponame:Hygeia (Uberlândia)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/hygeia/article/view/62444/35049Copyright (c) 2022 Emanuele Rocha da Silva, Marcos Adami, Waltair Maria Martins Pereirainfo:eu-repo/semantics/openAccessSilva, Emanuele Rocha da Adami, MarcosPereira, Waltair Maria Martins2022-11-21T17:15:55Zoai:ojs.www.seer.ufu.br:article/62444Revistahttps://seer.ufu.br/index.php/hygeiaPUBhttps://seer.ufu.br/index.php/hygeia/oaisamuel@ufu.br||flavia.santos@ufu.br1980-17261980-1726opendoar:2022-11-21T17:15:55Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION HANSENÍASE EM UM ESTADO HIPERENDÊMICO: TENDÊNCIA SEGMENTAR E IDENTIFICAÇÃO DE AGLOMERADOS ESPACIAIS DE ALTO RISCO DE TRANSMISSÃO |
title |
LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION |
spellingShingle |
LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION Silva, Emanuele Rocha da Hanseníase Indicador de Saúde Doença Negligenciada Análise Espacial Leprosy Health Status Indicators Neglected Diseases Spatial Analysis |
title_short |
LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION |
title_full |
LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION |
title_fullStr |
LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION |
title_full_unstemmed |
LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION |
title_sort |
LEPROSY IN A HYPERENDEMIC STATE: SEGMENTAL TREND AND HIGH-RISK TRANSMISSION CLUSTERS IDENTIFICATION |
author |
Silva, Emanuele Rocha da |
author_facet |
Silva, Emanuele Rocha da Adami, Marcos Pereira, Waltair Maria Martins |
author_role |
author |
author2 |
Adami, Marcos Pereira, Waltair Maria Martins |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Emanuele Rocha da Adami, Marcos Pereira, Waltair Maria Martins |
dc.subject.por.fl_str_mv |
Hanseníase Indicador de Saúde Doença Negligenciada Análise Espacial Leprosy Health Status Indicators Neglected Diseases Spatial Analysis |
topic |
Hanseníase Indicador de Saúde Doença Negligenciada Análise Espacial Leprosy Health Status Indicators Neglected Diseases Spatial Analysis |
description |
Objective: To analyze leprosy indicators aiming to identify areas of greatest risk of transmission in Pará, from 2004 to 2018. Methods: Ecological study using secondary data from the Notifiable Diseases Information System. By Joinpoint regression, 11 indicators were analyzed, Poisson probability analyzed the three main ones and SaTScan™ had clusters of municipalities with high risk of transmission. It was considered significant p <0.05. Results: Of the 57,504 new cases, 11.18% (6,431) were children under 15 years old, and 6.69% (3,793) had grade 2 physical disability (GIF II) on the diagnosis. Significantly, the trends in the rates analyzed decreased; the proportions of GIF II at diagnosis (mean annual percentage change [AAPC]=6.8%), multibacillary cases (AAPC=2.3%), dimorphic clinical form (AAPC=2.1%) and examined contacts (AAPC=5.9%) increased. Detection in the general population was hyperendemic in all clusters. Conclusion: In Pará, leprosy is diagnosed in polarized forms and with GIF II, with transmission in areas with the highest migratory flow. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-21 |
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://seer.ufu.br/index.php/hygeia/article/view/62444 10.14393/Hygeia1862444 |
url |
https://seer.ufu.br/index.php/hygeia/article/view/62444 |
identifier_str_mv |
10.14393/Hygeia1862444 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/hygeia/article/view/62444/35049 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Emanuele Rocha da Silva, Marcos Adami, Waltair Maria Martins Pereira info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Emanuele Rocha da Silva, Marcos Adami, Waltair Maria Martins Pereira |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 18 (2022); 259–270 1980-1726 reponame:Hygeia (Uberlândia) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Hygeia (Uberlândia) |
collection |
Hygeia (Uberlândia) |
repository.name.fl_str_mv |
Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
samuel@ufu.br||flavia.santos@ufu.br |
_version_ |
1799944284870279168 |