NED University Journal of Research
ISSN 2304-716X
E-ISSN 2706-5758




MODEL FOR ESTIMATING INCOME-LINKED LIFE EXPECTANCY IN WEST AFRICAN COUNTRIES

Author(s): David Onah Ogwumu1, Ovuzonye Samue Ataribu2, Osas Samuel Emmanuel3, Ajileye Ganiyu4, Isaiah Ogwumu5, Ruth Omagbu Ikape6
1 Associate Professor, Department of Mathematics and Statistics, Faculty of Pure and Applied Sciences, Federal University Wukari, Nigeria, Ph. +2347083702087, Email: davidonah@fuwukari.edu.ng.
2 Postgraduate student, Department of Mathematics and Statistics, Faculty of Pure and Applied Sciences, Federal University Wukari, Nigeria. Ph. +2348131227066, Email: samuelovuzonye@gmail.com.
3 Postgraduate student, Department of Mathematics and Statistics, Faculty of Pure and Applied Sciences, Federal University Wukari, Nigeria. Email: mrsure17@gmail.com.
4 Lecturer, Department of Mathematics and Statistics, Faculty of Pure and Applied Sciences, Federal University Wukari, Nigeria. Email: ajileye@fuwukari.edu.ng.
5 Lecturer, Department of Economic Science, Faculty of Humanity and Administrative, University of Calabar, Nigeria. Email: necolasswell@gmail.com.
6 Postgraduate student, Department of Forestry and Wildlife, Faculty of Pure and Agricultural Sciences; Federal University Wukari, Nigeria. Email: ruthomagbu@gmail.com.

https://doi.org/10.35453/NEDJR-ASCN-2023-0003.R2


Volume: XX

No. 2

Pages: 17-30

Date: August 2023

Abstract:
A model for the life expectancy of West African nations is proposed in this paper using the regression analysis approach. The model shows how income is the major determining factor in the calculation of the life expectancy of individual citizens of West African countries. The model predictions were validated by using the sourced data, as the absolute difference between the model predictions and the sourced data was small with a high correlation between them. A variable sensitivity analysis was conducted using the model which indicated that the income variable of the citizens was the most sensitive variable. It is recommended that the income of every nation must be given priority when targeting areas of life expectancy intervention and improvement projects. This can be followed by the quality of health, unemployment rate and the economic status of the nation, respectively. The model optimisation confirmed that life expectancy of a nation could attain both low and high values depending on the policies/efforts of the government of that nation.