Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil

Detalhes bibliográficos
Autor(a) principal: Melchior, Cristiane
Data de Publicação: 2024
Outros Autores: Zanini, Roselaine Ruviaro, Mírian
Tipo de documento: Artigo
Idioma: por
Título da fonte: Saúde (Santa Maria)
Texto Completo: https://periodicos.ufsm.br/revistasaude/article/view/69170
Resumo: Objective: This study aims to highlight the main characteristics and compare the evolution of infant mortality rates in the state of Rio Grande do Sul (RS) through the ARIMA and ARMA methodologies. Method The monthly infant mortality rates of the period of 2000 to 2017 were obtained from the Unified Health System (SUS) Department of Informatics (DATASUS). A descriptive analysis and time series modelling using the ARIMA and ARMA methodologies were carried out and discussed. Results: Cacique Doble, Alto Alegre, and São Valério do Sul were the cities of residence with the highest infant mortality rates for the state of RS in the period. Based on the residual analysis and the AIC and BIC penalizing criteria, a better quality of fit was observed in the ARMA(4,6) model. Conclusion Although the ARMA model presented better quality of fit, the accuracy measurements were lower in the SARIMA model. The proposed methodologies can guide the planning of preventive and educational policies aimed at the risk of a born alive dying during its first year of life.
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spelling Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazilAnálise da evolução das taxas de mortalidade de crianças com até um ano de idade residentes no estado do rio grande do sulInfant mortalityChild mortalityARIMAβARMAForecastingMortalidade infantilSéries temporaisARIMAARMA PrevisãoObjective: This study aims to highlight the main characteristics and compare the evolution of infant mortality rates in the state of Rio Grande do Sul (RS) through the ARIMA and ARMA methodologies. Method The monthly infant mortality rates of the period of 2000 to 2017 were obtained from the Unified Health System (SUS) Department of Informatics (DATASUS). A descriptive analysis and time series modelling using the ARIMA and ARMA methodologies were carried out and discussed. Results: Cacique Doble, Alto Alegre, and São Valério do Sul were the cities of residence with the highest infant mortality rates for the state of RS in the period. Based on the residual analysis and the AIC and BIC penalizing criteria, a better quality of fit was observed in the ARMA(4,6) model. Conclusion Although the ARMA model presented better quality of fit, the accuracy measurements were lower in the SARIMA model. The proposed methodologies can guide the planning of preventive and educational policies aimed at the risk of a born alive dying during its first year of life.Este estudo tem por objetivo destacar as principais características e comparar a evolução das taxas de mortalidade infantil no Estado do Rio Grande do Sul (RS) por meio das metodologias ARIMA e ARMA. Método: As taxas mensais de mortalidade infantil do período de 2000 a 2017 foram obtidas do Departamento de Informática do Sistema Único de Saúde (SUS) (DATASUS). Foi realizada e discutida uma análise descritiva e modelagem de séries temporais utilizando as metodologias ARIMA e ARMA. Resultados: Cacique Doble, Alto Alegre e São Valério do Sul foram as cidades de residência com as taxas de mortalidade infantil mais elevadas para o estado do RS no período. Com base na análise dos resíduos e nos critérios penalizadores de AIC e BIC, foi observada uma melhor qualidade de ajuste no modelo ARMA(4,6). Conclusão: Embora o modelo ARMA apresentasse melhor qualidade ajuste, as medidas de acuracidade foram inferiores no modelo SARIMA. As metodologias propostas podem orientar no planejamento de políticas preventivas e educativas voltadas ao risco de um nascido vivo morrer durante o seu primeiro ano de vida.Universidade Federal de Santa Maria2024-05-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/revistasaude/article/view/6917010.5902/2236583469170Saúde (Santa Maria); Vol. 50 No. 1 (2024): Revista Saúde (Santa Maria) | Fluxo contínuoSaúde (Santa Maria); v. 50 n. 1 (2024): Revista Saúde (Santa Maria) | Fluxo contínuo2236-58340103-4499reponame:Saúde (Santa Maria)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/revistasaude/article/view/69170/63830Copyright (c) 2024 Cristiane Melchior, Roselaine Ruviaro Zanini, Mírianhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessMelchior, CristianeZanini, Roselaine RuviaroMírian2024-05-21T18:26:29Zoai:ojs.pkp.sfu.ca:article/69170Revistahttps://periodicos.ufsm.br/revistasaudePUBhttps://periodicos.ufsm.br/revistasaude/oairevistasaude.ufsm@gmail.com || amanda.revsaude@gmail.com || beatriz.revsaude@gmail.com2236-58342236-5834opendoar:2024-05-21T18:26:29Saúde (Santa Maria) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil
Análise da evolução das taxas de mortalidade de crianças com até um ano de idade residentes no estado do rio grande do sul
title Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil
spellingShingle Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil
Melchior, Cristiane
Infant mortality
Child mortality
ARIMA
βARMA
Forecasting
Mortalidade infantil
Séries temporais
ARIMA
ARMA
Previsão
title_short Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil
title_full Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil
title_fullStr Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil
title_full_unstemmed Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil
title_sort Analysis of the evolution of infant mortality rates of children residing in the state of rio grande do sul, brazil
author Melchior, Cristiane
author_facet Melchior, Cristiane
Zanini, Roselaine Ruviaro
Mírian
author_role author
author2 Zanini, Roselaine Ruviaro
Mírian
author2_role author
author
dc.contributor.author.fl_str_mv Melchior, Cristiane
Zanini, Roselaine Ruviaro
Mírian
dc.subject.por.fl_str_mv Infant mortality
Child mortality
ARIMA
βARMA
Forecasting
Mortalidade infantil
Séries temporais
ARIMA
ARMA
Previsão
topic Infant mortality
Child mortality
ARIMA
βARMA
Forecasting
Mortalidade infantil
Séries temporais
ARIMA
ARMA
Previsão
description Objective: This study aims to highlight the main characteristics and compare the evolution of infant mortality rates in the state of Rio Grande do Sul (RS) through the ARIMA and ARMA methodologies. Method The monthly infant mortality rates of the period of 2000 to 2017 were obtained from the Unified Health System (SUS) Department of Informatics (DATASUS). A descriptive analysis and time series modelling using the ARIMA and ARMA methodologies were carried out and discussed. Results: Cacique Doble, Alto Alegre, and São Valério do Sul were the cities of residence with the highest infant mortality rates for the state of RS in the period. Based on the residual analysis and the AIC and BIC penalizing criteria, a better quality of fit was observed in the ARMA(4,6) model. Conclusion Although the ARMA model presented better quality of fit, the accuracy measurements were lower in the SARIMA model. The proposed methodologies can guide the planning of preventive and educational policies aimed at the risk of a born alive dying during its first year of life.
publishDate 2024
dc.date.none.fl_str_mv 2024-05-21
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://periodicos.ufsm.br/revistasaude/article/view/69170
10.5902/2236583469170
url https://periodicos.ufsm.br/revistasaude/article/view/69170
identifier_str_mv 10.5902/2236583469170
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/revistasaude/article/view/69170/63830
dc.rights.driver.fl_str_mv Copyright (c) 2024 Cristiane Melchior, Roselaine Ruviaro Zanini, Mírian
https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Cristiane Melchior, Roselaine Ruviaro Zanini, Mírian
https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Saúde (Santa Maria); Vol. 50 No. 1 (2024): Revista Saúde (Santa Maria) | Fluxo contínuo
Saúde (Santa Maria); v. 50 n. 1 (2024): Revista Saúde (Santa Maria) | Fluxo contínuo
2236-5834
0103-4499
reponame:Saúde (Santa Maria)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Saúde (Santa Maria)
collection Saúde (Santa Maria)
repository.name.fl_str_mv Saúde (Santa Maria) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv revistasaude.ufsm@gmail.com || amanda.revsaude@gmail.com || beatriz.revsaude@gmail.com
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