Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2021 |
| Outros Autores: | , , , , |
| Tipo de documento: | Artigo |
| Idioma: | por |
| Título da fonte: | Research, Society and Development |
| Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/19699 |
Resumo: | This study aimed to analyze the impact of epidemiological indicators on leprosy control in the state of Pará, between the years 2004 and 2018. This is a cross-sectional study of time series, population-based, with secondary data collected from the Information System of Notifiable Diseases of the Ministry of Health. The analysis of the temporal evolution of the endemicity of the disease in the State territory was systematized. The linear trend of selected indicators was worked through Microsoft Excel® 2016, and the geospatial information was worked by QGis 2.18 software. We analyzed 57,504 new notified cases of leprosy in the state of Pará, among which 60.13% (p<0.0001) corresponded to the male gender and 56.42% had incomplete elementary education. The spatial distribution of the leprosy detection rates, in the general population, in each of the 144 municipalities agglutinated by five-year periods, indicated a regressive evolution of the endemicity of about 2/3 of the territorial area from "very hyper-endemicity" in the first period (2004 to 2008) to hyper-endemicity in the last period (2014 to 2018). The heterogeneity of the population coverage of the Family Health Strategy made evident the difficulty of developing disease control measures in the context of Primary Health Care. |
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Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 Lepra en el Estado de Pará: patrones espaciales y temporales visibilizados por el análisis de indicadores epidemiológicos de 2004 a 2018Hanseníase no Estado do Pará: padrões espaciais e temporais visibilizados pela análise dos indicadores epidemiológicos no período de 2004 a 2018LepraEnfermedades desatendidasAnálisis espacialIndicador de saludAplicaciones de la epidemiologia.HanseníaseDoenças negligenciadasAnálise espacialIndicador de saúdeAplicações da epidemiologia.LeprosyNeglected diseasesSpatial analysisHealth indicatorApplications of epidemiology.This study aimed to analyze the impact of epidemiological indicators on leprosy control in the state of Pará, between the years 2004 and 2018. This is a cross-sectional study of time series, population-based, with secondary data collected from the Information System of Notifiable Diseases of the Ministry of Health. The analysis of the temporal evolution of the endemicity of the disease in the State territory was systematized. The linear trend of selected indicators was worked through Microsoft Excel® 2016, and the geospatial information was worked by QGis 2.18 software. We analyzed 57,504 new notified cases of leprosy in the state of Pará, among which 60.13% (p<0.0001) corresponded to the male gender and 56.42% had incomplete elementary education. The spatial distribution of the leprosy detection rates, in the general population, in each of the 144 municipalities agglutinated by five-year periods, indicated a regressive evolution of the endemicity of about 2/3 of the territorial area from "very hyper-endemicity" in the first period (2004 to 2008) to hyper-endemicity in the last period (2014 to 2018). The heterogeneity of the population coverage of the Family Health Strategy made evident the difficulty of developing disease control measures in the context of Primary Health Care.Este estudio tuvo como objetivo analizar el impacto de los indicadores epidemiológicos en el control de la lepra en el estado de Pará, entre los años 2004 y 2018. Se trata de un estudio transversal de series temporales, de base poblacional, con datos secundarios recogidos del Sistema de Información de Enfermedades de Declaración Obligatoria del Ministerio de Sanidad. Se sistematizó el análisis de la evolución temporal de la endemicidad de la enfermedad en el territorio del Estado. La tendencia lineal de los indicadores seleccionados fue trabajada a través de Microsoft Excel® 2016, y la información geoespacial fue trabajada por el software QGis 2.18. Analizamos 57.504 nuevos casos notificados de lepra en el estado de Pará, entre los cuales 60,13% (p<0,0001) correspondieron al género masculino y 56,42% presentaron educación primaria incompleta. La distribución espacial de las tasas de detección de lepra en la población general, en cada uno de los 144 municipios aglutinados por quinquenios, indicó una evolución regresiva de la endemicidad de aproximadamente 2/3 del área territorial, desde la "muy hiperendemicidad" en el primer periodo (2004 a 2008) hasta la hiperendemicidad en el último periodo (2014 a 2018). La heterogeneidad de la cobertura poblacional de la Estrategia de Salud Familiar puso de manifiesto la dificultad de desarrollar medidas de control de enfermedades en el contexto de la Atención Primaria de Salud.Este estudo teve como objetivo analisar o impacto dos indicadores epidemiológicos no controle da hanseníase no estado do Pará, entre os anos de 2004 e 2018. Trata-se de um estudo transversal de série temporal, com base populacional, com dados secundários coletados a partir do Sistema de Informação de Agravos de Notificação do Ministério da Saúde. Foi sistematizada a análise da evolução temporal da endemicidade da doença no território do Estado. A tendência linear de indicadores selecionados foi trabalhada através do Microsoft Excel® 2016, e as informações geoespaciais foram trabalhadas pelo software QGis 2.18. Foram analisados 57.504 casos novos notificados de hanseníase no estado do Pará, entre os quais 60,13% (p<0,0001) correspondiam ao gênero masculino e 56,42% apresentavam ensino fundamental incompleto. A distribuição espacial das taxas de detecção de hanseníase, na população em geral, em cada um dos 144 municípios aglutinadas por quinquênios, apontou evolução regressiva da endemicidade de cerca de 2/3 da área territorial de “muito hiperendemicidade”, no primeiro período (2004 a 2008), para hiperendemicidade, no último período (2014 a 2018). A heterogeneidade da cobertura populacional da Estratégia Saúde da Família deixou evidente a dificuldade de desenvolvimento das medidas de controle da doença no contexto da Atenção Primária da Saúde.Research, Society and Development2021-08-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1969910.33448/rsd-v10i11.19699Research, Society and Development; Vol. 10 No. 11; e245101119699Research, Society and Development; Vol. 10 Núm. 11; e245101119699Research, Society and Development; v. 10 n. 11; e2451011196992525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/19699/17489Copyright (c) 2021 Belmiro Figueiredo Vinente Neto; Emanuele Rocha da Silva; Yuri Fadi Geha; José Natanael Gama dos Santos; João Victor Filgueiras Mota; Waltair Maria Martins Pereirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessVinente Neto, Belmiro Figueiredo Silva, Emanuele Rocha daGeha, Yuri FadiSantos, José Natanael Gama dosMota, João Victor Filgueiras Pereira, Waltair Maria Martins2021-10-23T19:01:11Zoai:ojs.pkp.sfu.ca:article/19699Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:39:33.292411Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
| dc.title.none.fl_str_mv |
Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 Lepra en el Estado de Pará: patrones espaciales y temporales visibilizados por el análisis de indicadores epidemiológicos de 2004 a 2018 Hanseníase no Estado do Pará: padrões espaciais e temporais visibilizados pela análise dos indicadores epidemiológicos no período de 2004 a 2018 |
| title |
Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 |
| spellingShingle |
Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 Vinente Neto, Belmiro Figueiredo Lepra Enfermedades desatendidas Análisis espacial Indicador de salud Aplicaciones de la epidemiologia. Hanseníase Doenças negligenciadas Análise espacial Indicador de saúde Aplicações da epidemiologia. Leprosy Neglected diseases Spatial analysis Health indicator Applications of epidemiology. |
| title_short |
Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 |
| title_full |
Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 |
| title_fullStr |
Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 |
| title_full_unstemmed |
Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 |
| title_sort |
Leprosy in the State of Pará: spatial and temporal patterns made visible by the analysis of epidemiological indicators from 2004 to 2018 |
| author |
Vinente Neto, Belmiro Figueiredo |
| author_facet |
Vinente Neto, Belmiro Figueiredo Silva, Emanuele Rocha da Geha, Yuri Fadi Santos, José Natanael Gama dos Mota, João Victor Filgueiras Pereira, Waltair Maria Martins |
| author_role |
author |
| author2 |
Silva, Emanuele Rocha da Geha, Yuri Fadi Santos, José Natanael Gama dos Mota, João Victor Filgueiras Pereira, Waltair Maria Martins |
| author2_role |
author author author author author |
| dc.contributor.author.fl_str_mv |
Vinente Neto, Belmiro Figueiredo Silva, Emanuele Rocha da Geha, Yuri Fadi Santos, José Natanael Gama dos Mota, João Victor Filgueiras Pereira, Waltair Maria Martins |
| dc.subject.por.fl_str_mv |
Lepra Enfermedades desatendidas Análisis espacial Indicador de salud Aplicaciones de la epidemiologia. Hanseníase Doenças negligenciadas Análise espacial Indicador de saúde Aplicações da epidemiologia. Leprosy Neglected diseases Spatial analysis Health indicator Applications of epidemiology. |
| topic |
Lepra Enfermedades desatendidas Análisis espacial Indicador de salud Aplicaciones de la epidemiologia. Hanseníase Doenças negligenciadas Análise espacial Indicador de saúde Aplicações da epidemiologia. Leprosy Neglected diseases Spatial analysis Health indicator Applications of epidemiology. |
| description |
This study aimed to analyze the impact of epidemiological indicators on leprosy control in the state of Pará, between the years 2004 and 2018. This is a cross-sectional study of time series, population-based, with secondary data collected from the Information System of Notifiable Diseases of the Ministry of Health. The analysis of the temporal evolution of the endemicity of the disease in the State territory was systematized. The linear trend of selected indicators was worked through Microsoft Excel® 2016, and the geospatial information was worked by QGis 2.18 software. We analyzed 57,504 new notified cases of leprosy in the state of Pará, among which 60.13% (p<0.0001) corresponded to the male gender and 56.42% had incomplete elementary education. The spatial distribution of the leprosy detection rates, in the general population, in each of the 144 municipalities agglutinated by five-year periods, indicated a regressive evolution of the endemicity of about 2/3 of the territorial area from "very hyper-endemicity" in the first period (2004 to 2008) to hyper-endemicity in the last period (2014 to 2018). The heterogeneity of the population coverage of the Family Health Strategy made evident the difficulty of developing disease control measures in the context of Primary Health Care. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-08-30 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://rsdjournal.org/index.php/rsd/article/view/19699 10.33448/rsd-v10i11.19699 |
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https://rsdjournal.org/index.php/rsd/article/view/19699 |
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10.33448/rsd-v10i11.19699 |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
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https://rsdjournal.org/index.php/rsd/article/view/19699/17489 |
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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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Research, Society and Development |
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Research, Society and Development |
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Research, Society and Development; Vol. 10 No. 11; e245101119699 Research, Society and Development; Vol. 10 Núm. 11; e245101119699 Research, Society and Development; v. 10 n. 11; e245101119699 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
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Universidade Federal de Itajubá (UNIFEI) |
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Research, Society and Development |
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Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
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rsd.articles@gmail.com |
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