Forecasting Infant Mortality Rate in Cameroon Using Artificial Neural Networks
Abstract
In this research article, the ANN approach was
applied to analyze infant mortality rate in Cameroon. 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 Cameroon. The applied ANN (12, 12, 1) model predicted that
IMR will be around 48/1000 live births per year. Therefore the government, in
line the suggested policy directions; should strengthen and capacitate primary
health care, increase coverage of immunizations for infants and children, and
train health workers on essential newborn care in order to reduce infant
mortality in the country.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Department of Economics, University of Zimbabwe, Harare, Zimbabwe
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