A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone

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...

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Main Authors: Eunice Twumwaa Tagoe, Pascal Agbadi, Emmanuel K. Nakua, Precious Adade Duodu, Jerry John Nutor, Justice Moses K. Aheto
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844020303534
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author Eunice Twumwaa Tagoe
Pascal Agbadi
Emmanuel K. Nakua
Precious Adade Duodu
Jerry John Nutor
Justice Moses K. Aheto
author_facet Eunice Twumwaa Tagoe
Pascal Agbadi
Emmanuel K. Nakua
Precious Adade Duodu
Jerry John Nutor
Justice Moses K. Aheto
author_sort Eunice Twumwaa Tagoe
collection DOAJ
description 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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spelling doaj.art-7af1d261ebbe4fce9e0dda527e355ac92022-12-22T03:48:25ZengElsevierHeliyon2405-84402020-03-0163e03508A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra LeoneEunice Twumwaa Tagoe0Pascal Agbadi1Emmanuel K. Nakua2Precious Adade Duodu3Jerry John Nutor4Justice Moses K. Aheto5School of Development Management, Ghana Christian University College; Box AF 919, GhanaDepartment of Nursing, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Corresponding author.Department of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Nursing, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Family Health Care Nursing, School of Nursing, University of California, San Francisco, San Francisco, California, USADepartment of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, GhanaSierra 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.http://www.sciencedirect.com/science/article/pii/S2405844020303534Public healthQuality of lifeEpidemiologyPediatricsHealth disparityUnder-five mortality
spellingShingle Eunice Twumwaa Tagoe
Pascal Agbadi
Emmanuel K. Nakua
Precious Adade Duodu
Jerry John Nutor
Justice Moses K. Aheto
A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone
Heliyon
Public health
Quality of life
Epidemiology
Pediatrics
Health disparity
Under-five mortality
title A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone
title_full A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone
title_fullStr A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone
title_full_unstemmed A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone
title_short A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone
title_sort predictive model and socioeconomic and demographic determinants of under five mortality in sierra leone
topic Public health
Quality of life
Epidemiology
Pediatrics
Health disparity
Under-five mortality
url http://www.sciencedirect.com/science/article/pii/S2405844020303534
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