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DOI Prefix: 10.47001/IRJIET

Forecasting Infant Mortality Rate in Ethiopia Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIDepartment of Economics, University of Zimbabwe, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 647-651

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 07-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503112

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Abstract
In this piece of work, the ANN approach was applied to analyze infant mortality rate in Ethiopia. The employed annual data covers the period 1966-2020 and the out-of-sample period ranges over the period 2021-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting infant mortality rate in Ethiopia. The ANN (12, 12, 1) model predictions suggest that IMR will be around 34/1000 live births per year in the out-of-sample period. Therefore, in line with the policy recommendations, the government is encouraged to intensify maternal and child health surveillance and control programs in order to curb infant mortality in the country. 
Keywords

ANN, Forecasting, infant mortality rate.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Infant Mortality Rate in Ethiopia Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 647-651, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503112

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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