Levels, Trends and Determinants of Infant Mortality in Nigeria: An Analysis using the Logistic Regression Model

  • Donalben Onome Eke Department of Statistics, University of Benin, Benin City, Edo State, Nigeria
  • Friday Ewere Department of Statistics, University of Benin, Benin City, Edo State, Nigeria
Keywords: infant mortality, logistic regression, child health, trends, Nigeria

Abstract

This paper presents a statistical analysis of the levels, trends and determinants of infant mortality in Nigeria using the logistic regression model. Infant mortality data for each of the five years preceding the 2003, 2008, 2013 and 2018 Nigeria Demographic Health Survey (NDHS) was retrieved and used for the analysis. Findings from the study revealed that infant mortality rates decline have stagnated in the five year period prior to the 2018 survey with an Annual Rate of Reduction (ARR) of 0% relative to an initial ARR of 5.7% between 2003 and 2008. The ARR of 2.039% over the 15 year period spanning 2003 to 2018 suggests that the rate of infant mortality reduction is slow. This study also showed that maternal characteristics such as age and educational levels as well as cultural practises like use of clean water and toilet facilities were statistically significant determinants of infant mortality in Nigeria with P-values < 0.05 across each of the survey years.

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Published
2021-10-21
How to Cite
Eke, D. O., & Ewere, F. (2021). Levels, Trends and Determinants of Infant Mortality in Nigeria: An Analysis using the Logistic Regression Model. Earthline Journal of Mathematical Sciences, 8(1), 17-40. https://doi.org/10.34198/ejms.8122.1740
Section
Articles