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

Forecasting Infant Mortality Rate in Sierra Leone Using Artificial Neural Networks

Abstract

In this research work, the ANN approach was applied to analyze infant mortality rate in Sierra Leone. The employed annual data covers the period 1960-2020 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 Sierra Leone. The ANN (12, 12, 1) model predictions suggest that IMR will remain very high in the out-of-sample period. The government is therefore encouraged to allocate more financial resources towards improving health infrastructure especially for primary health care, increasing coverage for child vaccinations and facility based deliveries.

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. 597-601

doi.org/10.47001/IRJIET/2021.503102

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