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

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Prediction of Infant Mortality Rate in Namibia Using Artificial Neural Networks

Abstract

In this research article, the ANN approach was applied to analyze infant mortality rate in Namibia. The employed annual data covers the period 1967-2020 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 Namibia. The results of the study indicate that infant mortality will slightly decline over the next 10 years. The government of Namibia is encouraged to allocate more resources to the health sector in order to reduce infant mortality in the country. We specifically advise the government to put into consider the suggested 7-fold policy directions.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. SAGIT Innovation Centre, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 652-656

doi.org/10.47001/IRJIET/2021.503113

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