Risk factors of under-five mortality in Ethiopia using count data regression models, 2021

Argawu, Alemayehu Siffir; Mekebo, Gizachew Gobebo

doi:10.1016/j.amsu.2022.104764

Cited by 17 publications

(29 citation statements)

References 47 publications

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“…In relation to demographic variables, the study reveals that several predictor variables, such as the number of children ever born, marital status, breastfeeding, and the age of the mother at her first birth, significantly influence child mortality. These findings are consistent with previous research conducted in Ethiopia [5], supporting the idea that demographic factors play a substantial role in determining child mortality rates.…”

Section: Discussionsupporting

confidence: 92%

Unraveling New Insights: Exploring Risk Factors of Under-Five Mortality in Somaliland using the First-Ever SLDHS 2020 Data and Count Data Regression Models

Ismail,

Chesneau,

Muse

2023

Preprint

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The high prevalence of zero counts in child mortality distribution in Somaliland prompts an exploration into whether distinct generating processes exist for child mortality and their frequency per mother. This study aims to identify an appropriate count regression model for the number of children who died per mother in Somaliland, addressing concerns of under-dispersion and zero-inflation. Addition[1]ally, it seeks to determine the risk factors associated with under-five mortality and their frequency. The analysis utilizes data from the nationally representative 2020 Somaliland Demographic and Health Survey (SLDHS), where 28.1% of the 4,615 surveyed women reported no under-five mortality. These zero counts may arise from structural or sampling factors, leading to the investigation of two-part zero-inflated and hurdle-count regression models alongside standard one-part count regression models. Diagnostic tools, such as the likelihood ratio test, The Akaike information criterion (AIC) and the Bayesian information criterion (BIC), are employed to determine the most suitable model. The hurdle Poisson regression model emerges as the best fit. The findings highlight several significant factors associated with under-five mortality per mother, including child sex, number of children ever born, access to clean water sources and toilet facilities, geographic region, wealth index, breastfeeding, mothers’ age at first birth, and mothers’ education. Understanding and addressing these factors can guide targeted interventions and policies aimed at reducing under-five mortality and improving child health outcomes. Furthermore, promoting deliveries at healthcare institutions is recommended for mothers.

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Section: Discussionsupporting

confidence: 92%

Unraveling New Insights: Exploring Risk Factors of Under-Five Mortality in Somaliland using the First-Ever SLDHS 2020 Data and Count Data Regression Models

Ismail,

Chesneau,

Muse

2023

Preprint

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“…Children from traditional religion more likely to early childhood mortality as compared to orthodox religion. This nding is supported by similar studies conducted in Ethiopia [27].…”

Section: Discussionsupporting

confidence: 86%

Early Childhood Mortality and Associated Factors in Ethiopia: Mini Demographic and Health Survey 2019

Damete¹,

Lucha²

2022

Preprint

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Background: Early childhood mortality is a major problem in terms of demographics, health, and development and factors that determine the size and growth rate of a population, as well as its ages and genders, along with its spatial distribution. The aim of this study was to determine factors associated with Early childhood mortality among children aged 0–59 months. Methods: The data for this study was extracted from Ethiopia mini demographic and health survey 2019. The study involved 5414 women with children aged 0–59 months in a weighted sample. The analysis was performed using STATA version 16 software. Using sampling weights for descriptive statistics and complex sample designs for inferential statistics, backward stepwise elimination was manually applied. Finally, statistical significance declared at the level of p-value < 0.05. Result: The prevalence of early childhood mortality in Ethiopia was observed to be 5.8%. In multivariate analysis the household wealth index, children from the poorest-wealth index (AOR = 1.211, 95% CI: 0.716-2.047) had higher odds of early childhood mortality in comparison to children from the richer wealth index. The odds of early childhood mortality were thirteen times higher among children born with twins’ birth as compared to single birth, (AOR = 13.615, 95% CI: 6.399-28.965). The odds of early childhood mortality were lower among children delivered in a health facility as compared to home delivery (AOR = 0.936, 95% CI: 0.893-0.982). The odds of early childhood mortality were lower among tube well sources of drinking water as compared to piped sources of drinking water (AOR = 0.7128, 95% CI: 0.322-1.599). The odds of early childhood mortality were higher among pit latrine-type toilet facilities as compared to flush-type toilet facilities (AOR = 2.056, 95% CI: 1.319-3.207). Conclusion: The prevalence of early childhood mortality in Ethiopia shows high risk and it is significantly associated with household wealth index, type of birth, place of delivery, sources of drinking water, and types of toilet facilities. Increasing the coverage and access to early childhood education, governmental and non-governmental organizations and all concerned stakeholders should be prioritized as the major determinants of early childhood mortality.

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“…The variables used in the models were verified for multicollinearity by measuring the variance inflation factors, with the findings falling within acceptable limits 1–10…”

Section: Methodsmentioning

confidence: 99%

“…Ethiopia has made tremendous success in reducing maternal, under-5 and infant death rates over the past two decades because of Ministry of Health’s strong leadership in implementing the Health Sector Transformation Plan, coordination of efforts and major investments by the government, development partners and the community in the health system 4. The under-5 mortality rate has declined by 71% from the 1990 baseline of 204 per 1000 live births to 59 per 1000 live births in 2019 5. However, neonatal mortality declined from 58 deaths per 1000 live births in 2000 to 38 deaths per 1000 births in 2016 6.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and determinants of early neonatal mortality in Ethiopia: findings from the Ethiopian Demographic and Health Survey 2016

Tamir

Asmamaw

Negash

et al. 2023

bmjpo

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BackgroundEarly neonatal death accounts for a significant number of under-5 mortality worldwide. However, the problem is under-researched and under-reported in low-income and middle-income countries, particularly in Ethiopia. The magnitude of mortality during the early neonatal period and associated factors should be studied for designing appropriate policies, and strategies that could help tackle the problem. Hence, this study aimed to determine the prevalence and identify factors associated with early neonatal mortality in Ethiopia.MethodsThis study was conducted by using data from Ethiopian Demographic and Health Survey 2016. A total of 10 525 live births were enrolled in the study. A multilevel logistic regression model was used to identify determinants of early neonatal mortality. Adjusted OR (AOR) at a 95% CI was computed to assess the strength and significance of the association between outcome and explanatory variables. Factors with a p<0.05 were declared statistically significant.ResultsThe national prevalence of early neonatal mortality in Ethiopia was 41.8 (95% CI 38.1 to 45.8) early neonatal deaths per 1000 live births. The extreme ages of pregnancy (under 20 years (AOR 2.7, 95% CI 1.3 to 5.5) and above 35 years (AOR 2.4, 95% CI 1.5 to 4)), home delivery (AOR 2.4, 95% CI 1.3 to 4.3), low birth weight (AOR 3.3, 95% CI 1.4 to 8.2) and multiple pregnancies (AOR 5.3, 95% CI 4.1 to 9.9) were significantly associated early neonatal mortality.ConclusionsThis study revealed a higher prevalence of early neonatal mortality as compared with prevalence in other low-income and middle-income countries. Thus, it is determined to be essential to design maternal and child health policies and initiatives with a priority on the prevention of early neonatal deaths. Emphasis should be given to babies born to mothers at extreme ages of pregnancy, to those born of multiple pregnancies delivered at home and to low birthweight babies.

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Risk factors of under-five mortality in Ethiopia using count data regression models, 2021

Cited by 17 publications

References 47 publications

Unraveling New Insights: Exploring Risk Factors of Under-Five Mortality in Somaliland using the First-Ever SLDHS 2020 Data and Count Data Regression Models

Unraveling New Insights: Exploring Risk Factors of Under-Five Mortality in Somaliland using the First-Ever SLDHS 2020 Data and Count Data Regression Models

Early Childhood Mortality and Associated Factors in Ethiopia: Mini Demographic and Health Survey 2019

Prevalence and determinants of early neonatal mortality in Ethiopia: findings from the Ethiopian Demographic and Health Survey 2016

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