Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/982 |
Resumo: | Objective. Analyze the trend of leprosy indicators in Goiás between 2001 and 2017. Methods. An ecological study of time series was carried out. Leprosy morbidity and operational indicators were calculated from data from the Notifiable Diseases Information System. Prais-Winsten regression was used for trend analysis. Results. There was a trend: decreasing detection rate in the general population (Annual Percentage Change [APC] = -6.8 – 95%CI -8.2;-5.4) and in children under 15 years old (APC = -7.2 – 95%CI -8.5;-5.9); increasing proportion of disability grade 2 (APC = 3.7 – 95%CI 2.0;5.3) and proportion of physical disability examined (APC = 0.6 – 95%CI 0.3;0.8); the proportion of healing and contacts examined were stable. Conclusion. Detection rates decreased while the proportions of grade 2 physical disability and physical disability examined increased. |
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Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017Magnitud y tendencia temporal de los indicadores de lepra en Goiás, Brasil: un estudio ecológico en 2001-2017Magnitude e tendência temporal dos indicadores da hanseníase em Goiás: um estudo ecológico do período 2001-2017HanseníaseEstudos de Séries TemporaisEstudos EcológicosIndicadores Básicos de SaúdeLeprosyTime Series StudiesEcological StudiesHealth Status IndicatorsObjective. Analyze the trend of leprosy indicators in Goiás between 2001 and 2017. Methods. An ecological study of time series was carried out. Leprosy morbidity and operational indicators were calculated from data from the Notifiable Diseases Information System. Prais-Winsten regression was used for trend analysis. Results. There was a trend: decreasing detection rate in the general population (Annual Percentage Change [APC] = -6.8 – 95%CI -8.2;-5.4) and in children under 15 years old (APC = -7.2 – 95%CI -8.5;-5.9); increasing proportion of disability grade 2 (APC = 3.7 – 95%CI 2.0;5.3) and proportion of physical disability examined (APC = 0.6 – 95%CI 0.3;0.8); the proportion of healing and contacts examined were stable. Conclusion. Detection rates decreased while the proportions of grade 2 physical disability and physical disability examined increased.Objetivo. Analisar a tendência dos indicadores da hanseníase em Goiás no período de 2001 a 2017. Métodos. Foi realizado estudo ecológico de séries temporais. Indicadores de morbidade e operacionais da hanseníase foram calculados a partir de dados do Sistema de Informação de Agravos de Notificação (Sinan). Utilizou-se regressão de Prais-Winsten para análise de tendência. Resultados. Verificou-se tendência decrescente na taxa de detecção na população geral (variação percentual anual [VPA] = -6,8 – IC95% -8,2;-5,4) e em menores de 15 anos de idade (VPA = -7,2 – IC95% -8,5;-5,9); e tendência crescente na proporção de grau 2 de incapacidade física (VPA = 3,7 – IC95% 2,0;5,3) e na proporção de incapacidade física examinada (VPA = 0,6 – IC95% 0,3;0,8); as proporções de cura e de contatos examinados mostraram-se estáveis. Conclusão. As taxas de detecção diminuíram, enquanto as proporções de grau 2 de incapacidade física e de incapacidade física examinada cresceram.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-07-21info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/98210.1590/SciELOPreprints.982porhttps://preprints.scielo.org/index.php/scielo/article/view/982/1392Copyright (c) 2020 Mateus Henrique Guiotti Mazão Lima, Juliano Porto Nascimento, Marcos Loiola de Souza, Vanessa Alves Paraizo, Patrícia Silva Nunes, Rafael Alves Guimarãeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLima, Mateus Henrique Guiotti Mazão Nascimento, Juliano Porto Souza, Marcos Loiola de Paraizo, Vanessa Alves Nunes, Patrícia Silva Guimarães, Rafael Alves reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-07-21T13:40:22Zoai:ops.preprints.scielo.org:preprint/982Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-07-21T13:40:22SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017 Magnitud y tendencia temporal de los indicadores de lepra en Goiás, Brasil: un estudio ecológico en 2001-2017 Magnitude e tendência temporal dos indicadores da hanseníase em Goiás: um estudo ecológico do período 2001-2017 |
title |
Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017 |
spellingShingle |
Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017 Lima, Mateus Henrique Guiotti Mazão Hanseníase Estudos de Séries Temporais Estudos Ecológicos Indicadores Básicos de Saúde Leprosy Time Series Studies Ecological Studies Health Status Indicators |
title_short |
Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017 |
title_full |
Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017 |
title_fullStr |
Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017 |
title_full_unstemmed |
Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017 |
title_sort |
Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017 |
author |
Lima, Mateus Henrique Guiotti Mazão |
author_facet |
Lima, Mateus Henrique Guiotti Mazão Nascimento, Juliano Porto Souza, Marcos Loiola de Paraizo, Vanessa Alves Nunes, Patrícia Silva Guimarães, Rafael Alves |
author_role |
author |
author2 |
Nascimento, Juliano Porto Souza, Marcos Loiola de Paraizo, Vanessa Alves Nunes, Patrícia Silva Guimarães, Rafael Alves |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lima, Mateus Henrique Guiotti Mazão Nascimento, Juliano Porto Souza, Marcos Loiola de Paraizo, Vanessa Alves Nunes, Patrícia Silva Guimarães, Rafael Alves |
dc.subject.por.fl_str_mv |
Hanseníase Estudos de Séries Temporais Estudos Ecológicos Indicadores Básicos de Saúde Leprosy Time Series Studies Ecological Studies Health Status Indicators |
topic |
Hanseníase Estudos de Séries Temporais Estudos Ecológicos Indicadores Básicos de Saúde Leprosy Time Series Studies Ecological Studies Health Status Indicators |
description |
Objective. Analyze the trend of leprosy indicators in Goiás between 2001 and 2017. Methods. An ecological study of time series was carried out. Leprosy morbidity and operational indicators were calculated from data from the Notifiable Diseases Information System. Prais-Winsten regression was used for trend analysis. Results. There was a trend: decreasing detection rate in the general population (Annual Percentage Change [APC] = -6.8 – 95%CI -8.2;-5.4) and in children under 15 years old (APC = -7.2 – 95%CI -8.5;-5.9); increasing proportion of disability grade 2 (APC = 3.7 – 95%CI 2.0;5.3) and proportion of physical disability examined (APC = 0.6 – 95%CI 0.3;0.8); the proportion of healing and contacts examined were stable. Conclusion. Detection rates decreased while the proportions of grade 2 physical disability and physical disability examined increased. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/982 10.1590/SciELOPreprints.982 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/982 |
identifier_str_mv |
10.1590/SciELOPreprints.982 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/982/1392 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO |
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SciELO Preprints |
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SciELO Preprints - SciELO |
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