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DOI Prefix: 10.47001/IRJIET

Forecasting Infant Mortality in Mozambique Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIDepartment of Economics, University of Zimbabwe, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 667-671

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/2021.503116

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Abstract
In this research article, the ANN approach was applied to analyze infant mortality rate in Mozambique. The employed data covers the period 1964-2020 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 Mozambique. The results of the study indicate that IMR will be around 52/1000 live births per year in the out-of-sample period. The government is strongly encouraged to capacitate primary care health facilities in the remote areas so that they are able to conduct safe deliveries and provide basic essential newborn care.
Keywords

ANN, Forecasting, Infant mortality.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Infant Mortality in Mozambique Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 667-671, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503116

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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