Tracking Future Trends of Under Five Mortality Rate in Bahrain Using Double Exponential Smoothing Model

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 7 (2022): Volume 6, Issue 7, July 2022 | Pages: 103-107

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 18-08-2022

doi Logo doi.org/10.47001/IRJIET/2022.607020

Abstract
This study uses annual time series data on under five mortality rate (U5MR) for Bahrain from 1960 to 2020to predict future trends of U5MR over the period 2021 to 2030. Residuals and model evaluation statistics indicate that the applied Holt’s linear exponential smoothing model is stable in forecasting U5MR. Optimal values of smoothing constants α and β are   0.9 and 0.1 respectively based on minimum MSE. The Holt’s linear model projections suggest that annual U5MR will continue to drop throughout the out of sample period. Hence, health authorities should relentlessly provide funding to the maternal and child health program in order to maintain this desirable trend of under-five mortality. 
Keywords

Exponential smoothing, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Tracking Future Trends of Under Five Mortality Rate in Bahrain Using Double Exponential Smoothing Model” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 103-107, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607020

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