MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Hygeia (Uberlândia) |
Texto Completo: | https://seer.ufu.br/index.php/hygeia/article/view/69804 |
Resumo: | Objective: To verify the influence of the municipal human development index (HDI-M) and structural social capital on maternal mortality in Pernambuco. Method: Georeferencing analysis of maternal deaths that occurred in Pernambuco between 2010 and 2020, and their correlation with HDI-M and Structural Social Capital (represented by non-profit foundations and associations - FASFIL), through global and local Moran spatial statistical analysis (univariate and bivariate). Secondary data from ministerial Health Information Systems (SIM and SINASC) and public data from IBGE and IPEA were employed. GeoDa 1.18 and QGIS version 3.22.5 software were utilized. Results: The results revealed 898 maternal deaths and a Maternal Mortality Rate (MMR) of 59.3/100,000 live births during the specified period. Spatial dependence was demonstrated through univariate Moran mirroring, revealing a distribution pattern. In the bivariate Moran analysis, an inverse correlation was observed between MMR and HDI-M (Moran I = -0,063, p-value = 0,035) and MMR and FASFIL (Moran I = -0,085, p-value = 0,009), both with significant p-values. Conclusion: Regions with elevated risks of maternal death exhibit lower levels of human development and reduced structural social capital. These municipalities represent priority areas for interventions aimed at reducing maternal deaths and increasing socioeconomic investments. |
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MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSISMORTALIDADE MATERNA E INDICADORES SOCIAIS: UMA ANÁLISE DE DISTRIBUIÇÃO ESPACIALMortalidade maternaDesenvolvimento humanoCapital socialAnálise espacialIniquidades sociaisMaternal mortalityHuman developmentSocial capitalSpatial analysisSocial inequalitiesObjective: To verify the influence of the municipal human development index (HDI-M) and structural social capital on maternal mortality in Pernambuco. Method: Georeferencing analysis of maternal deaths that occurred in Pernambuco between 2010 and 2020, and their correlation with HDI-M and Structural Social Capital (represented by non-profit foundations and associations - FASFIL), through global and local Moran spatial statistical analysis (univariate and bivariate). Secondary data from ministerial Health Information Systems (SIM and SINASC) and public data from IBGE and IPEA were employed. GeoDa 1.18 and QGIS version 3.22.5 software were utilized. Results: The results revealed 898 maternal deaths and a Maternal Mortality Rate (MMR) of 59.3/100,000 live births during the specified period. Spatial dependence was demonstrated through univariate Moran mirroring, revealing a distribution pattern. In the bivariate Moran analysis, an inverse correlation was observed between MMR and HDI-M (Moran I = -0,063, p-value = 0,035) and MMR and FASFIL (Moran I = -0,085, p-value = 0,009), both with significant p-values. Conclusion: Regions with elevated risks of maternal death exhibit lower levels of human development and reduced structural social capital. These municipalities represent priority areas for interventions aimed at reducing maternal deaths and increasing socioeconomic investments.Objetivo: Verificar a influência do índice de desenvolvimento humano municipal (IDH-M) e capital social estrutural sobre a mortalidade materna. Método: Análise de distribuição espacial dos óbitos maternos ocorridos em Pernambuco entre 2010 e 2020, e a correlação com IDH-M e Capital social estrutural (representada pelas fundações e associações sem fins lucrativos – FASFIL), através da análise estatística espacial de Moran global e local (uni e bivariada). Utilizou-se dados secundários dos Sistemas de Informações em Saúde ministeriais (SIM e SINASC) e dados públicos do IBGE e IPEA. Foram utilizados os softwares GeoDa 1.18 e QGIS versão 3.22.5. Resultados: Registraram-se 898 óbitos maternos e uma RMM no período de 59,3/100 mil NV. Observou-se um padrão na distribuição no espelhamento de Moran univariado, demostrando dependência espacial. No Moran bivariado, houve correlação inversa entre as variáveis de RMM x IDH-M (Moran I = -0,063 e p valor = 0,035) e RMM x FASFIL (Moran I = -0,085 e p valor = 0,009), ambas com p valor significantes. Conclusão: Áreas com maiores riscos de óbito materno, relacionam-se com menor desenvolvimento humano e menor capital social estrutural. Esses municípios refletem áreas prioritárias para redução do óbito materno e maiores investimentos socioeconômicos. Universidade Federal de Uberlândia2024-04-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/hygeia/article/view/6980410.14393/Hygeia2069804Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 20 (2024); e20351980-1726reponame:Hygeia (Uberlândia)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/hygeia/article/view/69804/38509Copyright (c) 2024 Jaciele Cristina da Silva Belone; Arnaldo de França Caldas Juniorinfo:eu-repo/semantics/openAccessBelone, Jaciele Cristina da SilvaCaldas Junior, Arnaldo de França2024-05-14T21:00:03Zoai:ojs.www.seer.ufu.br:article/69804Revistahttps://seer.ufu.br/index.php/hygeiaPUBhttps://seer.ufu.br/index.php/hygeia/oaisamuel@ufu.br||flavia.santos@ufu.br1980-17261980-1726opendoar:2024-05-14T21:00:03Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS MORTALIDADE MATERNA E INDICADORES SOCIAIS: UMA ANÁLISE DE DISTRIBUIÇÃO ESPACIAL |
title |
MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS |
spellingShingle |
MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS Belone, Jaciele Cristina da Silva Mortalidade materna Desenvolvimento humano Capital social Análise espacial Iniquidades sociais Maternal mortality Human development Social capital Spatial analysis Social inequalities |
title_short |
MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS |
title_full |
MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS |
title_fullStr |
MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS |
title_full_unstemmed |
MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS |
title_sort |
MATERNAL MORTALITY AND SOCIAL INDICATORS: A SPATIAL DISTRIBUTION ANALYSIS |
author |
Belone, Jaciele Cristina da Silva |
author_facet |
Belone, Jaciele Cristina da Silva Caldas Junior, Arnaldo de França |
author_role |
author |
author2 |
Caldas Junior, Arnaldo de França |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Belone, Jaciele Cristina da Silva Caldas Junior, Arnaldo de França |
dc.subject.por.fl_str_mv |
Mortalidade materna Desenvolvimento humano Capital social Análise espacial Iniquidades sociais Maternal mortality Human development Social capital Spatial analysis Social inequalities |
topic |
Mortalidade materna Desenvolvimento humano Capital social Análise espacial Iniquidades sociais Maternal mortality Human development Social capital Spatial analysis Social inequalities |
description |
Objective: To verify the influence of the municipal human development index (HDI-M) and structural social capital on maternal mortality in Pernambuco. Method: Georeferencing analysis of maternal deaths that occurred in Pernambuco between 2010 and 2020, and their correlation with HDI-M and Structural Social Capital (represented by non-profit foundations and associations - FASFIL), through global and local Moran spatial statistical analysis (univariate and bivariate). Secondary data from ministerial Health Information Systems (SIM and SINASC) and public data from IBGE and IPEA were employed. GeoDa 1.18 and QGIS version 3.22.5 software were utilized. Results: The results revealed 898 maternal deaths and a Maternal Mortality Rate (MMR) of 59.3/100,000 live births during the specified period. Spatial dependence was demonstrated through univariate Moran mirroring, revealing a distribution pattern. In the bivariate Moran analysis, an inverse correlation was observed between MMR and HDI-M (Moran I = -0,063, p-value = 0,035) and MMR and FASFIL (Moran I = -0,085, p-value = 0,009), both with significant p-values. Conclusion: Regions with elevated risks of maternal death exhibit lower levels of human development and reduced structural social capital. These municipalities represent priority areas for interventions aimed at reducing maternal deaths and increasing socioeconomic investments. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-04-10 |
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/69804 10.14393/Hygeia2069804 |
url |
https://seer.ufu.br/index.php/hygeia/article/view/69804 |
identifier_str_mv |
10.14393/Hygeia2069804 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/hygeia/article/view/69804/38509 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Jaciele Cristina da Silva Belone; Arnaldo de França Caldas Junior info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2024 Jaciele Cristina da Silva Belone; Arnaldo de França Caldas Junior |
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. 20 (2024); e2035 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_ |
1799944281616547840 |