International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

Assessing the Feasibility of Achieving Substantial Reduction of Under Five Mortality in Burundi by 2030 Using Artificial Neural Networks

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: 149-152

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/2022.607030

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Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Burundi from 1964 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast performance measures indicate that the applied ANN (12. 12, 1) model is stable in forecasting U5MR. The study findings indicated that U5MR will remain high over the out of sample period. Therefore, we implore the government of Burundi to allocate more resources to maternal and child health (MNCH) programs in the country in order to substantially reduce under five mortality to as low as 25 deaths per 1000 live births by 2030. 

Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Assessing the Feasibility of Achieving Substantial Reduction of Under Five Mortality in Burundi by 2030 Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 149-152, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607030
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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