Magnitude and temporal trend of leprosy indicators in Goiás, Brazil: an ecological study in 2001-2017

Detalhes bibliográficos
Autor(a) principal: Lima, Mateus Henrique Guiotti Mazão
Data de Publicação: 2020
Outros Autores: Nascimento, Juliano Porto, Souza, Marcos Loiola de, Paraizo, Vanessa Alves, Nunes, Patrícia Silva, Guimarães, Rafael Alves
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.
id SCI-1_e740070ea07941a0d9157c7dff22b7c2
oai_identifier_str oai:ops.preprints.scielo.org:preprint/982
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling 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
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047819408769024