Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Paulista de Pediatria (Ed. Português. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822022000100451 |
Resumo: | ABSTRACT Objective: To describe the spatio-temporal distribution of infant mortality and its components in the city of Rio de Janeiro, Brazil, in 2010 and 2019. Methods: Infant mortality rate and the neonatal and postneonatal components were estimated. The standardized mortality rate was calculated to detect excess child mortality in the planning areas. Poisson regression was performed to estimate the effect of these planning areas on the years 2010 and 2019. Spatial analysis per neighborhoods was performed to identify the spatial autocorrelation rates, using the Moran’s Index and local indicator of spatial association (LISA). Results: The planning areas are very heterogeneous, depending on the history and evolution of occupation. There is an excess of mortality in planning areas with greater social vulnerability. In the Poisson model, it was observed that in all components, the planning area (PA) of residence was statistically significant as well as the year. Moran’s index did not show global spatial autocorrelation. However, when applying the LISA method, autocorrelation was observed at the local level and spatial clusters in the municipality of Rio de Janeiro. Conclusions: The spatial heterogeneity of the infant mortality rate in Rio de Janeiro suggests that local health policy strategies of each region consist in an efficient measure for reducing this rate. |
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Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019Infant mortalityMortality excessSocial vulnerabilitySpatio-temporal analysisABSTRACT Objective: To describe the spatio-temporal distribution of infant mortality and its components in the city of Rio de Janeiro, Brazil, in 2010 and 2019. Methods: Infant mortality rate and the neonatal and postneonatal components were estimated. The standardized mortality rate was calculated to detect excess child mortality in the planning areas. Poisson regression was performed to estimate the effect of these planning areas on the years 2010 and 2019. Spatial analysis per neighborhoods was performed to identify the spatial autocorrelation rates, using the Moran’s Index and local indicator of spatial association (LISA). Results: The planning areas are very heterogeneous, depending on the history and evolution of occupation. There is an excess of mortality in planning areas with greater social vulnerability. In the Poisson model, it was observed that in all components, the planning area (PA) of residence was statistically significant as well as the year. Moran’s index did not show global spatial autocorrelation. However, when applying the LISA method, autocorrelation was observed at the local level and spatial clusters in the municipality of Rio de Janeiro. Conclusions: The spatial heterogeneity of the infant mortality rate in Rio de Janeiro suggests that local health policy strategies of each region consist in an efficient measure for reducing this rate.Sociedade de Pediatria de São Paulo2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822022000100451Revista Paulista de Pediatria v.40 2022reponame:Revista Paulista de Pediatria (Ed. Português. Online)instname:Sociedade de Pediatria de São Paulo (SPSP)instacron:SPSP10.1590/1984-0462/2022/40/2021061ininfo:eu-repo/semantics/openAccessDutra,Viviane Gomes ParreiraSampaio,João Roberto CavalcanteCaputo,Camila de SouzaGuimarães,Raphael Mendonçaeng2022-06-08T00:00:00Zoai:scielo:S0103-05822022000100451Revistahttps://www.rpped.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.phppediatria@spsp.org.br||rpp@spsp.org.br1984-04620103-0582opendoar:2022-06-08T00:00Revista Paulista de Pediatria (Ed. Português. Online) - Sociedade de Pediatria de São Paulo (SPSP)false |
dc.title.none.fl_str_mv |
Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019 |
title |
Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019 |
spellingShingle |
Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019 Dutra,Viviane Gomes Parreira Infant mortality Mortality excess Social vulnerability Spatio-temporal analysis |
title_short |
Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019 |
title_full |
Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019 |
title_fullStr |
Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019 |
title_full_unstemmed |
Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019 |
title_sort |
Spatio-temporal analysis of infant mortality in the city of Rio de Janeiro, 2010–2019 |
author |
Dutra,Viviane Gomes Parreira |
author_facet |
Dutra,Viviane Gomes Parreira Sampaio,João Roberto Cavalcante Caputo,Camila de Souza Guimarães,Raphael Mendonça |
author_role |
author |
author2 |
Sampaio,João Roberto Cavalcante Caputo,Camila de Souza Guimarães,Raphael Mendonça |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Dutra,Viviane Gomes Parreira Sampaio,João Roberto Cavalcante Caputo,Camila de Souza Guimarães,Raphael Mendonça |
dc.subject.por.fl_str_mv |
Infant mortality Mortality excess Social vulnerability Spatio-temporal analysis |
topic |
Infant mortality Mortality excess Social vulnerability Spatio-temporal analysis |
description |
ABSTRACT Objective: To describe the spatio-temporal distribution of infant mortality and its components in the city of Rio de Janeiro, Brazil, in 2010 and 2019. Methods: Infant mortality rate and the neonatal and postneonatal components were estimated. The standardized mortality rate was calculated to detect excess child mortality in the planning areas. Poisson regression was performed to estimate the effect of these planning areas on the years 2010 and 2019. Spatial analysis per neighborhoods was performed to identify the spatial autocorrelation rates, using the Moran’s Index and local indicator of spatial association (LISA). Results: The planning areas are very heterogeneous, depending on the history and evolution of occupation. There is an excess of mortality in planning areas with greater social vulnerability. In the Poisson model, it was observed that in all components, the planning area (PA) of residence was statistically significant as well as the year. Moran’s index did not show global spatial autocorrelation. However, when applying the LISA method, autocorrelation was observed at the local level and spatial clusters in the municipality of Rio de Janeiro. Conclusions: The spatial heterogeneity of the infant mortality rate in Rio de Janeiro suggests that local health policy strategies of each region consist in an efficient measure for reducing this rate. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822022000100451 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822022000100451 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1984-0462/2022/40/2021061in |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade de Pediatria de São Paulo |
publisher.none.fl_str_mv |
Sociedade de Pediatria de São Paulo |
dc.source.none.fl_str_mv |
Revista Paulista de Pediatria v.40 2022 reponame:Revista Paulista de Pediatria (Ed. Português. Online) instname:Sociedade de Pediatria de São Paulo (SPSP) instacron:SPSP |
instname_str |
Sociedade de Pediatria de São Paulo (SPSP) |
instacron_str |
SPSP |
institution |
SPSP |
reponame_str |
Revista Paulista de Pediatria (Ed. Português. Online) |
collection |
Revista Paulista de Pediatria (Ed. Português. Online) |
repository.name.fl_str_mv |
Revista Paulista de Pediatria (Ed. Português. Online) - Sociedade de Pediatria de São Paulo (SPSP) |
repository.mail.fl_str_mv |
pediatria@spsp.org.br||rpp@spsp.org.br |
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1750318252517490688 |