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DOI Prefix: 10.47001/IRJIET

Tracking Future Trends of Under Five Mortality Rate for Marshall Islands 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: 366-369

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/2022.607078

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Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Marshall Islands from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and model evaluation statistics of the applied ANN (12, 12, 1) model indicate that the model is stable in forecasting under five mortality rate. The ANN model predictions suggest that U5MR will hover around 30 deaths per 1000 live births throughout the out of sample period. Therefore, we encourage authorities in Marshall Islands to address all the existing challenges that may hinder the successful implementation of the maternal and child health program to keep 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 Rate for Marshall Islands Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 366-369, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607078

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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