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dc.contributor.authorFagbamigbe, Adeniyi Francis
dc.contributor.authorNnanatu, Chibuzor Christopher
dc.identifier.citationFagbamigbe , A F & Nnanatu , C C 2021 , ' Modelling the spatial distribution and the factors associated with under-five mortality in Nigeria ' , Spatial Demography , vol. First Online .
dc.identifier.otherPURE: 273873170
dc.identifier.otherPURE UUID: 80fdc513-efdb-4338-8400-b2aae6eaf02e
dc.identifier.otherRIS: urn:3754E0FAC6A276D3FC1FE76A640603E6
dc.identifier.otherRIS: Fagbamigbe2021
dc.identifier.otherWOS: 000634636600001
dc.description.abstractGlobally, 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.
dc.relation.ispartofSpatial Demographyen
dc.rightsCopyright © 2021 The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.titleModelling the spatial distribution and the factors associated with under-five mortality in Nigeriaen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.description.statusPeer revieweden

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