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

Forecasting Infant Mortality Rate in Gabon Using Artificial Neural Networks

Abstract

In this research paper, the ANN approach was applied to analyze infant mortality rate (IMR) in Gabon. The employed annual data covers the period 1978-2020 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 IMR in Gabon. The applied ANN (12, 12, 1) predictions revealed that IMR will around 31/1000 live births per year in the next 10 years. Therefore the Gabon government is encouraged to intensify maternal and child health surveillance and control programs with special priority being given to capacitating primary health care.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Department of Economics, University of Zimbabwe, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 592-596

doi.org/10.47001/IRJIET/2021.503101

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