Tracking Future Trends of Under Five Mortality for Romania 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: 434-437

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 06-09-2022

doi Logo doi.org/10.47001/IRJIET/2022.607095

Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Romania from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and model evaluation statistics indicate that the applied ANN (12, 12, 1) model is stable in forecasting U5MR. ANN model projections revealed that annual U5MR will hover around 6 deaths per 1000 live births over the out of sample period. Therefore, we encourage the government of Romania to design strategies that will maintain under five mortality below 25 deaths per 1000 live births. 

Keywords

ANN, Forecasting, U5MR.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Tracking Future Trends of Under Five Mortality for Romania Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 434-437, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607095

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