Forecasting Infant Mortality Rate in Benin Using Artificial Neural Networks
Abstract
In this research article, the ANN approach was
applied to analyze infant mortality rate in Benin. The employed 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 Benin. The model predictions suggest that infant mortality rate is
likely to decline by almost 4 deaths/1000 live births per year over the next
decade. Therefore the government is encouraged to prioritize increasing
coverage for mother and child immunizations amongst the suggested policy
directions.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
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