ArticleHeliyon2020
A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone.
Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Modeling of Years of Cohabitation, Children Ever Born, and Number of Living Children of Women of Reproductive Age Using Trivariate Poisson Regression.Health science reports · 2026Article
- Survival analysis of under-five mortality predictors: evidence from the 2011 and 2022/23 mozambique demographic and health surveys.BMC public health · 2026Article
- Improved prediction of childhood anemia using hybrid ensemble learning and dual-level explainability.Journal of public health research · 2026Article
- Cultural, socioeconomic, and demographic factors contributing to child mortality: evidence from Sierra Leone demographic and health survey 2019.BMC public health · 2025Article
- Under-five mortality and its associated factors in sub-Saharan Africa: a multilevel analysis of recent demographic and health surveys data based on Bayesian approach.BMC pediatrics · 2025Article
- Article
- Time to death and its determinants of under-five children in rural Ethiopia by using shared frailty.Scientific reports · 2024Article
- Factors associated with under-five mortality in Rwanda: An analysis of the Rwanda Demographic and Health Survey 2020.PLOS global public health · 2024Article
- Discrete-time survival analysis with survey weights: a case study of age at child death in Sierra Leone.BMC public health · 2023Article
- Background predictors of time to death in infancy: evidence from a survival analysis of the 2018 Nigeria DHS data.BMC public health · 2022Article
- Progress towards achieving child survival goals in Kenya after devolution: Geospatial analysis with scenario-based projections, 2015-2025.PLOS global public health · 2022Article
- Trend and correlates of under-5 mortality in Ethiopia: A multilevel model comparison of 2000-2016 EDHS data.SAGE open medicine · 2022Article
- Time to under-five mortality and its predictors in rural Ethiopia: Cox-gamma shared frailty model.PloS one · 2022Article
- Trends and Factors Associated with Under-5 Mortality in Northwest Nigeria (2008-2018).Annals of global health · 2022Article
- Under-5 Mortality and Its Associated Factors in Northern Nigeria: Evidence from 22,455 Singleton Live Births (2013-2018).International journal of environmental research and public health · 2021Article
- The impact of child health interventions and risk factors on child survival in Kenya, 1993-2014: a Bayesian spatio-temporal analysis with counterfactual scenarios.BMC medicine · 2021Article
- Predictive model and determinants of odds of neonates dying within 28 days of life in Ghana.Health science reports · 2021Article
- Determinants of Under-Five Mortality in Mozambique: Insights From the Demographic and Health Survey 2022/23.Sage open pediatricsArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sierra Leone is among the countries that recorded high under-five child mortality rate in the world. To design and implement policies that can address this public health challenge, the present study developed a predictive model of factors that explained under-five mortality in Sierra Leone using the 2008 and 2013 Sierra Leone Demographic and Health Survey (SDHS) datasets. LASSO regression technique was used to select the predictors to build the under-five predictive single-level logit and multilevel logit models. Statistical analyses were performed in the R freeware version 3.6.1. About 588 (10.4%) and 1320 (11.1%) children under five were reported dead in 2008 and 2013, respectively. The significant predictors of under-five mortality in Sierra Leone were the total number of children ever born, number of children under five in the household, mother's birth in the last five years, mother's number of living children, and number of household members, household wealth, maternal contraceptive use and intention, number of eligible women in the household, type of toilet facility, sex of the child, and weight of the child at birth. The study identified certain predictors that deserve policy attention and interventions to strengthen the efforts of creating child welfare and survival atmosphere in Sierra Leone.
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