Temporal analysis of mortality from preventable causes in the first 24 hours of life, 2000-2021

被引:0
作者
Silva, Aline Beatriz dos Santos [1 ,2 ,3 ]
Costa, Luciana Scarlazzari [4 ]
de Frias, Paulo Germano [5 ]
Araujo, Ana Catarina de Melo [6 ]
do Bonfim, Cristine Vieira [1 ,7 ]
机构
[1] Univ Fed Pernambuco, Recife, PE, Brazil
[2] Inst Aggeu Magalhaes Fiocruz, Recife, PE, Brazil
[3] Coordenacao Aperfeicoamento Pessoal Nivel Super CA, Curitiba, Brazil
[4] Univ Estadual Campinas, Campus Limeira, Limeira, SP, Brazil
[5] Inst Med Integral Prof Fernando Figueira, Recife, PE, Brazil
[6] Secretaria Estadual Saude Pernambuco, Superintendencia Imunizacoes & Doencas Imunopreven, Recife, PE, Brazil
[7] Fundacao Joaquim Nabuco, Diretoria Pesquisas Sociais, Recife, PE, Brazil
关键词
TIME-SERIES; NEONATAL-MORTALITY; INFANT-MORTALITY; TRENDS;
D O I
10.1590/1518-8345.6696.4080
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Objective: to analyze the temporal pattern and estimate mortality rates in the first 24 hours of life and from preventable causes in the state of Pernambuco from 2000 to 2021. Method: an ecological study, using the quarter as the unit of analysis. The data source was made up of the Mortality Information System and the Live Birth Information System. The time series modeling was conducted according to the Autoregressive Integrated Moving Average Model. Results: 14,462 deaths were recorded in the first 24 hours of life, 11,110 (76.8%) of which being preventable. It is observed from the forecasts that the mortality rate in the first 24 hours of life ranged from 3.3 to 2.4 per 1,000 live births, and the mortality rate from preventable causes ranged from 2.3 to 1.8 per 1,000 live births. Conclusion: the prediction suggested progress in reducing mortality in the first 24 hours of life in the state and from preventable causes. The ARIMA models presented satisfactory estimates for mortality rates and preventable causes in the first 24 hours of life.
引用
收藏
页数:13
相关论文
共 61 条
[1]   Prevalence and associated factors of neonatal mortality in Ethiopia [J].
Alamirew, Walelgn Gete ;
Belay, Denekew Bitew ;
Zeru, Melkamu A. ;
Derebe, Muluwerk Ayele ;
Adegeh, Senait Cherie .
SCIENTIFIC REPORTS, 2022, 12 (01)
[2]  
Alexandre MG, 2022, Rev Cont Saode, V22, DOI [10.21527/2176-7114.2022.46.13346, DOI 10.21527/2176-7114.2022.46.13346]
[3]  
[Anonymous], IBGE Cidades
[4]   Trend analysis of mortality rates and causes of death in children under 5 years old in Beijing, China from 1992 to 2015 and forecast of mortality into the future: an entire population-based epidemiological study [J].
Cao, Han ;
Wang, Jing ;
Li, Yichen ;
Li, Dongyang ;
Guo, Jin ;
Hu, Yifei ;
Meng, Kai ;
He, Dian ;
Liu, Bin ;
Liu, Zheng ;
Qi, Han ;
Zhang, Ling .
BMJ OPEN, 2017, 7 (09)
[5]  
Castro Jorge Abrahão de, 2020, Saúde debate, V44, P88, DOI 10.1590/0103-11042020e405
[6]  
Chaib DC., 2019, Rev Econ UEG, V15, P44, DOI [10.5281/zenodo.5236829, DOI 10.5281/ZENODO.5236829]
[7]  
Core Team R Team A. RC, 2022, R LANG ENV STAT COMP
[8]   Infant mortality in Brazil during recent periods of economic crisis [J].
Costa, MD ;
Mota, ELA ;
Paim, JS ;
da Silva, LMV ;
Teixeira, MD ;
Mendes, CMC .
REVISTA DE SAUDE PUBLICA, 2003, 37 (06) :699-706
[9]  
Cromwell JeffB., 1994, UNIVARIATE TESTS TIM
[10]   Bolsa Familia Programme and the reduction of child mortality in the municipalities of the Brazilian semiarid region [J].
de Araujo da Silva, Everlane Suane ;
Paes, Neir Antunes .
CIENCIA & SAUDE COLETIVA, 2019, 24 (02) :623-630