Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista JRG de Estudos Acadêmicos |
Texto Completo: | http://revistajrg.com/index.php/jrg/article/view/499 |
Resumo: | Children are among the most affected by the accelerated process of contemporary urbanization. This study aims to identify the factors associated with infant mortality in Brazilian municipalities. Quantitative research was carried out using the Ordinary Least Squares technique for cross-section data. Five thousand five hundred sixty-five observations equivalent to Brazilian cities were used, and data were obtained from the 2010 Atlas of Human Development in Brazil. The variables following the literature and divided into dependent: Infant Mortality and independent: Gini Index, Average per capita income, percentage of people with an inadequate water supply and sewage and the Municipal Human Development Index. From a linear regression performed by the Gretl software, it was possible to obtain econometric data that, through inferential statistics, brought a confirmatory analysis. This second analysis showed the significance of the variables and the behaviour of each one, based on what the literature pointed out as expected. Significant explanatory variables are the Gini index, Municipal Human Development Index and inadequate water supply and sewage. Scientific research in the area is expected to contribute towards achieving Sustainable Development Goals (SDG). |
id |
JRG_77bc20002925aa921a41075654776278 |
---|---|
oai_identifier_str |
oai:ojs2.revistajrg.com:article/499 |
network_acronym_str |
JRG |
network_name_str |
Revista JRG de Estudos Acadêmicos |
repository_id_str |
|
spelling |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis Fatores associados à mortalidade infantil nos municípios brasileiros: uma análise quantitativaRegressão LinearEstudo correlacionalMortalidade InfantilMunicípios brasileirosLinear RegressionCorrelational studyChild mortalityBrazilian citiesChildren are among the most affected by the accelerated process of contemporary urbanization. This study aims to identify the factors associated with infant mortality in Brazilian municipalities. Quantitative research was carried out using the Ordinary Least Squares technique for cross-section data. Five thousand five hundred sixty-five observations equivalent to Brazilian cities were used, and data were obtained from the 2010 Atlas of Human Development in Brazil. The variables following the literature and divided into dependent: Infant Mortality and independent: Gini Index, Average per capita income, percentage of people with an inadequate water supply and sewage and the Municipal Human Development Index. From a linear regression performed by the Gretl software, it was possible to obtain econometric data that, through inferential statistics, brought a confirmatory analysis. This second analysis showed the significance of the variables and the behaviour of each one, based on what the literature pointed out as expected. Significant explanatory variables are the Gini index, Municipal Human Development Index and inadequate water supply and sewage. Scientific research in the area is expected to contribute towards achieving Sustainable Development Goals (SDG). Crianças estão entre as mais afetadas pelo acelerado processo de urbanização contemporânea. Diante desta problemática, este trabalho tem por objetivo identificar os fatores associados à mortalidade infantil nos municípios brasileiros. Foi realizada uma pesquisa quantitativa através da técnica de Mínimos Quadrados Ordinários para dados em cross section. Foram utilizadas 5565 observações equivalentes aos municípios brasileiros e os dados foram obtidos no Atlas de Desenvolvimento Humano no Brasil de 2010. As variáveis estão de acordo com a literatura e divididas entre dependente (Mortalidade Infantil) e independentes (Índice de Gini; Renda per capta média, percentual de pessoas com abastecimento de água e esgotamento sanitário inadequados e o Índice de Desenvolvimento Humano Municipal). A partir de uma regressão linear realizada pelo software Gretl, foi possível obter dados econométricos que através de uma estatística inferencial trouxe uma análise confirmatória. Esta segunda análise apresentou a significância das variáveis bem como o comportamento de cada uma, a partir do que a literatura apontou como esperado. As variáveis explicativas significativas são o índice de Gini, Índice de Desenvolvimento Humano Municipal e abastecimento de água e esgotamento sanitário inadequados. Através de pesquisas científicas na área, espera-se contribuir no caminho rumo ao alcance dos objetivos do desenvolvimento sustentável.Editora JRG2022-12-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos Paresapplication/pdfhttp://revistajrg.com/index.php/jrg/article/view/49910.5281/zenodo.7654812ark:/57118/JRG.v5i11.499JRG Journal of Academic Studies; Vol. 5 No. 11 (2022): Revista JRG de Estudos Acadêmicos; 608-619JRG Journal of Academic Studies ; Vol. 5 Núm. 11 (2022): Revista JRG de Estudos Acadêmicos; 608-619JRG Journal of Academic Studies; V. 5 N. 11 (2022): Revista JRG de Estudos Acadêmicos; 608-619Revista JRG de Estudos Acadêmicos ; v. 5 n. 11 (2022): Revista JRG de Estudos Acadêmicos; 608-6192595-1661reponame:Revista JRG de Estudos Acadêmicosinstname:Editora JRGinstacron:JRGporhttp://revistajrg.com/index.php/jrg/article/view/499/533ark:/57118/jrg.v5i11.499.g533https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessStreit, Jorge Alfredo CerqueiraCunha, George Henrique de MouraBontempo, Paulo César2023-02-19T15:26:26Zoai:ojs2.revistajrg.com:article/499Revistahttp://revistajrg.com/index.php/jrgPRIhttp://revistajrg.com/index.php/jrg/oaiprofessorjonas@gmail.com||2595-16612595-1661opendoar:2023-02-19T15:26:26Revista JRG de Estudos Acadêmicos - Editora JRGfalse |
dc.title.none.fl_str_mv |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis Fatores associados à mortalidade infantil nos municípios brasileiros: uma análise quantitativa |
title |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis |
spellingShingle |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis Streit, Jorge Alfredo Cerqueira Regressão Linear Estudo correlacional Mortalidade Infantil Municípios brasileiros Linear Regression Correlational study Child mortality Brazilian cities |
title_short |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis |
title_full |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis |
title_fullStr |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis |
title_full_unstemmed |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis |
title_sort |
Factors associated with infant mortality in Brazilian municipalities: a quantitative analysis |
author |
Streit, Jorge Alfredo Cerqueira |
author_facet |
Streit, Jorge Alfredo Cerqueira Cunha, George Henrique de Moura Bontempo, Paulo César |
author_role |
author |
author2 |
Cunha, George Henrique de Moura Bontempo, Paulo César |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Streit, Jorge Alfredo Cerqueira Cunha, George Henrique de Moura Bontempo, Paulo César |
dc.subject.por.fl_str_mv |
Regressão Linear Estudo correlacional Mortalidade Infantil Municípios brasileiros Linear Regression Correlational study Child mortality Brazilian cities |
topic |
Regressão Linear Estudo correlacional Mortalidade Infantil Municípios brasileiros Linear Regression Correlational study Child mortality Brazilian cities |
description |
Children are among the most affected by the accelerated process of contemporary urbanization. This study aims to identify the factors associated with infant mortality in Brazilian municipalities. Quantitative research was carried out using the Ordinary Least Squares technique for cross-section data. Five thousand five hundred sixty-five observations equivalent to Brazilian cities were used, and data were obtained from the 2010 Atlas of Human Development in Brazil. The variables following the literature and divided into dependent: Infant Mortality and independent: Gini Index, Average per capita income, percentage of people with an inadequate water supply and sewage and the Municipal Human Development Index. From a linear regression performed by the Gretl software, it was possible to obtain econometric data that, through inferential statistics, brought a confirmatory analysis. This second analysis showed the significance of the variables and the behaviour of each one, based on what the literature pointed out as expected. Significant explanatory variables are the Gini index, Municipal Human Development Index and inadequate water supply and sewage. Scientific research in the area is expected to contribute towards achieving Sustainable Development Goals (SDG). |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-20 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo avaliado pelos Pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://revistajrg.com/index.php/jrg/article/view/499 10.5281/zenodo.7654812 ark:/57118/JRG.v5i11.499 |
url |
http://revistajrg.com/index.php/jrg/article/view/499 |
identifier_str_mv |
10.5281/zenodo.7654812 ark:/57118/JRG.v5i11.499 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://revistajrg.com/index.php/jrg/article/view/499/533 ark:/57118/jrg.v5i11.499.g533 |
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 |
Editora JRG |
publisher.none.fl_str_mv |
Editora JRG |
dc.source.none.fl_str_mv |
JRG Journal of Academic Studies; Vol. 5 No. 11 (2022): Revista JRG de Estudos Acadêmicos; 608-619 JRG Journal of Academic Studies ; Vol. 5 Núm. 11 (2022): Revista JRG de Estudos Acadêmicos; 608-619 JRG Journal of Academic Studies; V. 5 N. 11 (2022): Revista JRG de Estudos Acadêmicos; 608-619 Revista JRG de Estudos Acadêmicos ; v. 5 n. 11 (2022): Revista JRG de Estudos Acadêmicos; 608-619 2595-1661 reponame:Revista JRG de Estudos Acadêmicos instname:Editora JRG instacron:JRG |
instname_str |
Editora JRG |
instacron_str |
JRG |
institution |
JRG |
reponame_str |
Revista JRG de Estudos Acadêmicos |
collection |
Revista JRG de Estudos Acadêmicos |
repository.name.fl_str_mv |
Revista JRG de Estudos Acadêmicos - Editora JRG |
repository.mail.fl_str_mv |
professorjonas@gmail.com|| |
_version_ |
1797068981247410176 |