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

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...

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Detalles Bibliográficos
Autores: Melchior, Cristiane, Zanini, Roselaine Ruviaro, Mírian
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:Brasil
Institución:Universidade Federal de Santa Maria (UFSM)
Repositorio:Saúde (Santa Maria)
Idioma:portugués
OAI Identifier:oai:ojs.pkp.sfu.ca:article/69170
Acceso en línea:https://periodicos.ufsm.br/revistasaude/article/view/69170
Access Level:acceso abierto
Palabra clave:Infant mortality
Child mortality
ARIMA
βARMA
Forecasting
Mortalidade infantil
Séries temporais
ARMA
Previsão
Descripción
Sumario: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.