Spatial analysis of limb amputations in a Northeastern state
| Autor(a) principal: | |
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| 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/20520 |
Resumo: | This study aims to analyze the spatial autocorrelation of limb amputations and amputation incidence rates among the municipalities of Alagoas. An ecological study with data from the SUS Department of Informatics, the units of analysis were the municipalities and the amputation rate. Limb amputation cases registered between 2007-2018 were included. The incidence rate was smoothed by the local Bayesian method and the Moran index was used for spatial dependence analysis in TerraView and thematic maps edited in QGis. Spearman correlation and simple regression model compared rates with regional socioeconomic indicators. 9345 amputation records notified in the state. The Bayesian estimate smoothed areas and discriminated heterogeneity with more municipalities with high rates and areas of epidemiological transition. Moran's spatial analysis exhibited quadrennial (2007-2010) global index value 0.133385, (2011-2014) 0.215665, (2015-2018) 0.276478 foreshadowing evidence of positive spatial autocorrelation. The univariate regression analysis showed the amputation incidence rate related to indicators that reflect the population's vulnerable life situation, the unemployment rate (11.4%), per capita income (8.5%) and male illiteracy rate (12.9%) percentages of explanation. The spatial distribution of amputations showed a non-homogeneous distribution pattern with agglomerations in the agreste and eastern regions of Alagoas. They are the ones who feel the impact of inequalities in income distribution, education conditions and difficulty in accessing health services the most. Understanding the geographic growth of CNCDs reveals them as a critical point in public health. |
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Spatial analysis of limb amputations in a Northeastern stateAnálisis espacial de amputaciones de extremidades en un estado del Noreste Análise espacial das amputações de membros em um estado do NordesteAmputationSocial determinants of healthDiabetes MellitusEpidemiologySpatial analysisChronic disease.AmputaciónLos determinantes sociales de la saludDiabetes MellitusEpidemiologíaAnálisis espacialEnfermedad crónica.AmputaçãoDeterminantes sociais da saúdeDiabetes MellitusEpidemiologiaAnálise espacialDoença crônica.This study aims to analyze the spatial autocorrelation of limb amputations and amputation incidence rates among the municipalities of Alagoas. An ecological study with data from the SUS Department of Informatics, the units of analysis were the municipalities and the amputation rate. Limb amputation cases registered between 2007-2018 were included. The incidence rate was smoothed by the local Bayesian method and the Moran index was used for spatial dependence analysis in TerraView and thematic maps edited in QGis. Spearman correlation and simple regression model compared rates with regional socioeconomic indicators. 9345 amputation records notified in the state. The Bayesian estimate smoothed areas and discriminated heterogeneity with more municipalities with high rates and areas of epidemiological transition. Moran's spatial analysis exhibited quadrennial (2007-2010) global index value 0.133385, (2011-2014) 0.215665, (2015-2018) 0.276478 foreshadowing evidence of positive spatial autocorrelation. The univariate regression analysis showed the amputation incidence rate related to indicators that reflect the population's vulnerable life situation, the unemployment rate (11.4%), per capita income (8.5%) and male illiteracy rate (12.9%) percentages of explanation. The spatial distribution of amputations showed a non-homogeneous distribution pattern with agglomerations in the agreste and eastern regions of Alagoas. They are the ones who feel the impact of inequalities in income distribution, education conditions and difficulty in accessing health services the most. Understanding the geographic growth of CNCDs reveals them as a critical point in public health.Este estudio tiene como objetivo analizar la autocorrelación espacial de las amputaciones de miembros y las tasas de incidencia de amputaciones entre los municipios de Alagoas. Estudio ecológico con datos del Departamento de Informática del SUS, las unidades de análisis fueron los municipios y la tasa de amputaciones. Se incluyeron los casos de amputación de miembros registrados entre 2007-2018. La tasa de incidencia se suavizó mediante el método bayesiano local y se utilizó el índice de Moran para el análisis de dependencia espacial en TerraView y los mapas temáticos editados en QGis. El modelo de correlación de Spearman y regresión simple comparó tasas con indicadores socioeconómicos regionales. 9345 registros de amputación notificados en el estado. La estimación bayesiana suavizó las áreas y discriminó la heterogeneidad con más municipios con altas tasas y áreas de transición epidemiológica. El análisis espacial de Moran exhibió un valor de índice global cuadrienal (2007-2010) 0.133385, (2011-2014) 0.215665, (2015-2018) 0.276478 presagiando evidencia de autocorrelación espacial positiva. El análisis de regresión univariado mostró la tasa de incidencia de amputación relacionada con indicadores que reflejan la situación de vida vulnerable de la población, la tasa de desempleo (11,4%), el ingreso per cápita (8,5%) y la tasa de analfabetismo masculino (12,9%) porcentajes de explicación. La distribución espacial de las amputaciones mostró un patrón de distribución no homogéneo con aglomeraciones en las regiones agreste y oriental de Alagoas. Son los que más sienten el impacto de las desigualdades en la distribución del ingreso, las condiciones de educación y la dificultad para acceder a los servicios de salud. Comprender el crecimiento geográfico de las ECNT las revela como un punto crítico en la salud pública.Este estudo objetiva analisar a autocorrelação espacial das amputações de membros e as taxas de incidência de amputação entre os municípios de Alagoas. Estudo ecológico com dados do Departamento de Informática do SUS, as unidades de análise foram os municípios e a taxa de amputação. Foram incluídos casos de amputação de membros registrados entre 2007-2018. A taxa de incidência foi suavizada pelo método bayesiano local e empregou-se o índice de Moran para análise de dependência espacial no TerraView e mapas temáticos editados no QGis. Correlação de Spearman e modelo de regressão simples comparou as taxas com indicadores socioeconômicos regionais. Notificados 9345 registros de amputação no Estado. A estimativa bayesiana suavizou áreas e discriminou heterogeneidade com mais municípios de taxas elevadas e áreas de transição epidemiológica. A análise espacial de Moran exibiu quadriênio (2007-2010) valor do índice global 0.133385, (2011-2014) 0.215665, (2015-2018) 0.276478 prenunciando a evidência de autocorrelação espacial positiva. A análise de regressão univariada mostrou a taxa de incidência de amputação relacionada com indicadores que refletem situação de vida vulnerável da população, a taxa de desemprego (11,4%), renda per capita (8,5%) e taxa de analfabetismo masculino (12,9%) percentuais de explicação. A distribuição espacial das amputações demonstrou um padrão de distribuição não homogêneo com aglomerações nas regiões do agreste e leste alagoano. Elas são as que mais sentem impacto das desigualdades na distribuição de renda, condições de educação e dificuldade de acesso aos serviços de saúde. O entendimento do crescimento geográfico das DCNT revela-as como um ponto crítico na saúde pública.Research, Society and Development2021-09-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2052010.33448/rsd-v10i12.20520Research, Society and Development; Vol. 10 No. 12; e286101220520Research, Society and Development; Vol. 10 Núm. 12; e286101220520Research, Society and Development; v. 10 n. 12; e2861012205202525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/20520/18239Copyright (c) 2021 Regina Nunes da Silva; Rosário de Fátima Alves de Albuquerque; Paulyanne Karlla Araújo Magalhães; Ewerton Amorim dos Santos; Ruth França Cizino da Trindade; Juliane Maria Alves Siqueira Malta; Marco Antônio Prado Nunes; Francilene Amaral da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Regina Nunes daAlbuquerque, Rosário de Fátima Alves de Magalhães, Paulyanne Karlla Araújo Santos, Ewerton Amorim dosTrindade, Ruth França Cizino da Malta, Juliane Maria Alves Siqueira Nunes, Marco Antônio Prado Silva, Francilene Amaral da 2021-11-14T20:26:51Zoai:ojs.pkp.sfu.ca:article/20520Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:40:08.870409Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
| dc.title.none.fl_str_mv |
Spatial analysis of limb amputations in a Northeastern state Análisis espacial de amputaciones de extremidades en un estado del Noreste Análise espacial das amputações de membros em um estado do Nordeste |
| title |
Spatial analysis of limb amputations in a Northeastern state |
| spellingShingle |
Spatial analysis of limb amputations in a Northeastern state Silva, Regina Nunes da Amputation Social determinants of health Diabetes Mellitus Epidemiology Spatial analysis Chronic disease. Amputación Los determinantes sociales de la salud Diabetes Mellitus Epidemiología Análisis espacial Enfermedad crónica. Amputação Determinantes sociais da saúde Diabetes Mellitus Epidemiologia Análise espacial Doença crônica. |
| title_short |
Spatial analysis of limb amputations in a Northeastern state |
| title_full |
Spatial analysis of limb amputations in a Northeastern state |
| title_fullStr |
Spatial analysis of limb amputations in a Northeastern state |
| title_full_unstemmed |
Spatial analysis of limb amputations in a Northeastern state |
| title_sort |
Spatial analysis of limb amputations in a Northeastern state |
| author |
Silva, Regina Nunes da |
| author_facet |
Silva, Regina Nunes da Albuquerque, Rosário de Fátima Alves de Magalhães, Paulyanne Karlla Araújo Santos, Ewerton Amorim dos Trindade, Ruth França Cizino da Malta, Juliane Maria Alves Siqueira Nunes, Marco Antônio Prado Silva, Francilene Amaral da |
| author_role |
author |
| author2 |
Albuquerque, Rosário de Fátima Alves de Magalhães, Paulyanne Karlla Araújo Santos, Ewerton Amorim dos Trindade, Ruth França Cizino da Malta, Juliane Maria Alves Siqueira Nunes, Marco Antônio Prado Silva, Francilene Amaral da |
| author2_role |
author author author author author author author |
| dc.contributor.author.fl_str_mv |
Silva, Regina Nunes da Albuquerque, Rosário de Fátima Alves de Magalhães, Paulyanne Karlla Araújo Santos, Ewerton Amorim dos Trindade, Ruth França Cizino da Malta, Juliane Maria Alves Siqueira Nunes, Marco Antônio Prado Silva, Francilene Amaral da |
| dc.subject.por.fl_str_mv |
Amputation Social determinants of health Diabetes Mellitus Epidemiology Spatial analysis Chronic disease. Amputación Los determinantes sociales de la salud Diabetes Mellitus Epidemiología Análisis espacial Enfermedad crónica. Amputação Determinantes sociais da saúde Diabetes Mellitus Epidemiologia Análise espacial Doença crônica. |
| topic |
Amputation Social determinants of health Diabetes Mellitus Epidemiology Spatial analysis Chronic disease. Amputación Los determinantes sociales de la salud Diabetes Mellitus Epidemiología Análisis espacial Enfermedad crónica. Amputação Determinantes sociais da saúde Diabetes Mellitus Epidemiologia Análise espacial Doença crônica. |
| description |
This study aims to analyze the spatial autocorrelation of limb amputations and amputation incidence rates among the municipalities of Alagoas. An ecological study with data from the SUS Department of Informatics, the units of analysis were the municipalities and the amputation rate. Limb amputation cases registered between 2007-2018 were included. The incidence rate was smoothed by the local Bayesian method and the Moran index was used for spatial dependence analysis in TerraView and thematic maps edited in QGis. Spearman correlation and simple regression model compared rates with regional socioeconomic indicators. 9345 amputation records notified in the state. The Bayesian estimate smoothed areas and discriminated heterogeneity with more municipalities with high rates and areas of epidemiological transition. Moran's spatial analysis exhibited quadrennial (2007-2010) global index value 0.133385, (2011-2014) 0.215665, (2015-2018) 0.276478 foreshadowing evidence of positive spatial autocorrelation. The univariate regression analysis showed the amputation incidence rate related to indicators that reflect the population's vulnerable life situation, the unemployment rate (11.4%), per capita income (8.5%) and male illiteracy rate (12.9%) percentages of explanation. The spatial distribution of amputations showed a non-homogeneous distribution pattern with agglomerations in the agreste and eastern regions of Alagoas. They are the ones who feel the impact of inequalities in income distribution, education conditions and difficulty in accessing health services the most. Understanding the geographic growth of CNCDs reveals them as a critical point in public health. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-09-21 |
| 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/20520 10.33448/rsd-v10i12.20520 |
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10.33448/rsd-v10i12.20520 |
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por |
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por |
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https://rsdjournal.org/index.php/rsd/article/view/20520/18239 |
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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. 12; e286101220520 Research, Society and Development; Vol. 10 Núm. 12; e286101220520 Research, Society and Development; v. 10 n. 12; e286101220520 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
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Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
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