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Modelling the spatial distribution and the factors associated with under-five mortality in Nigeria

Modelling the spatial distribution and the factors associated with under-five mortality in Nigeria
Modelling the spatial distribution and the factors associated with under-five mortality in Nigeria
Globally, the risk of a child dying before celebrating their fifth birthday is still high at 5.3 million deaths in 2018 alone. Nigeria is among the few countries that are yet to achieve the Sustainable Development Goal Target of keeping under-5 death to as low as 25 deaths per 1000 live births by 2030. A recent study found that the under-5 mortality rate in Nigeria is still high with 1 in 8 Nigerian children dying before reaching the age of 5. In this study, the effect of a child’s spatial location in Nigeria on their likelihood of dying before age 5 was examined alongside other key covariates. Bayesian geo-additive regression models were fitted to the 2018 Nigeria Demographic and Health Surveys data. Statistical inference was based on the Bayesian paradigm via Markov chain Monte Carlo simulation methods, and models were assessed using the deviance information criterion. Under-five mortality rate varied significantly across spatial locations in Nigeria with Kebbi, Jigawa, Kaduna, Kogi and Gombe states having the highest rates. The likelihood of a child dying before age 5 increased among women with primary education and women aged 38 years and over. Other characteristics associated with high under-5 death are poverty, male child, low birth weight and multiple births. The current study has helped to identify geographical ‘hotspots’ as well as the key factors driving under-5 deaths in Nigeria to inform the effective design and implementation of timely and efficient interventions.
Fagbamigbe, Adeniyi Francis
4e6e281f-71bd-4c62-bda4-739441f7e7bf
Nnanatu, Chibuzor Christopher
24be7c1b-a677-4086-91b4-a9d9b1efa5a3
Fagbamigbe, Adeniyi Francis
4e6e281f-71bd-4c62-bda4-739441f7e7bf
Nnanatu, Chibuzor Christopher
24be7c1b-a677-4086-91b4-a9d9b1efa5a3

Fagbamigbe, Adeniyi Francis and Nnanatu, Chibuzor Christopher (2021) Modelling the spatial distribution and the factors associated with under-five mortality in Nigeria. Spatial Demography. (doi:10.1007/s40980-021-00078-7).

Record type: Article

Abstract

Globally, the risk of a child dying before celebrating their fifth birthday is still high at 5.3 million deaths in 2018 alone. Nigeria is among the few countries that are yet to achieve the Sustainable Development Goal Target of keeping under-5 death to as low as 25 deaths per 1000 live births by 2030. A recent study found that the under-5 mortality rate in Nigeria is still high with 1 in 8 Nigerian children dying before reaching the age of 5. In this study, the effect of a child’s spatial location in Nigeria on their likelihood of dying before age 5 was examined alongside other key covariates. Bayesian geo-additive regression models were fitted to the 2018 Nigeria Demographic and Health Surveys data. Statistical inference was based on the Bayesian paradigm via Markov chain Monte Carlo simulation methods, and models were assessed using the deviance information criterion. Under-five mortality rate varied significantly across spatial locations in Nigeria with Kebbi, Jigawa, Kaduna, Kogi and Gombe states having the highest rates. The likelihood of a child dying before age 5 increased among women with primary education and women aged 38 years and over. Other characteristics associated with high under-5 death are poverty, male child, low birth weight and multiple births. The current study has helped to identify geographical ‘hotspots’ as well as the key factors driving under-5 deaths in Nigeria to inform the effective design and implementation of timely and efficient interventions.

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Accepted/In Press date: 16 January 2021
Published date: 29 March 2021

Identifiers

Local EPrints ID: 456401
URI: http://eprints.soton.ac.uk/id/eprint/456401
PURE UUID: c2dcbfd2-43ef-41e8-800a-159d4bf784b1
ORCID for Chibuzor Christopher Nnanatu: ORCID iD orcid.org/0000-0002-5841-3700

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Date deposited: 28 Apr 2022 16:31
Last modified: 13 Jun 2024 02:02

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Contributors

Author: Adeniyi Francis Fagbamigbe
Author: Chibuzor Christopher Nnanatu ORCID iD

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