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DOI Prefix: 10.47001/IRJIET

Prediction of Infant Mortality Rate in Namibia Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONISAGIT Innovation Centre, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 652-656

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/2021.503113

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Abstract
In this research article, the ANN approach was applied to analyze infant mortality rate in Namibia. The employed annual data covers the period 1967-2020 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 Namibia. The results of the study indicate that infant mortality will slightly decline over the next 10 years. The government of Namibia is encouraged to allocate more resources to the health sector in order to reduce infant mortality in the country. We specifically advise the government to put into consider the suggested 7-fold policy directions.
Keywords

ANN, Forecasting, Infant mortality rate.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Prediction of Infant Mortality Rate in Namibia Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 652-656, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503113

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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