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

Analysis of Under Five Mortality for Antigua and Barbuda 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: 90-93

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/2022.607017

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Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Antigua and Barbuda from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Forecast evaluation criteria of the applied model indicate that the model is stable in forecasting U5MR for Antigua and Barbuda. The ANN (12, 12, 1) model projections suggest that U5MR will hover around 7.0 deaths per 1000 live births over the out of sample period. Therefore, the government should draft child health policies that will keep under five mortality under control. 

Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Analysis of Under Five Mortality for Antigua and Barbuda Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 90-93, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607017

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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