Forecasting Infant Mortality in Mozambique Using Artificial Neural Networks
Abstract
In this research article, the ANN approach was
applied to analyze infant mortality rate in Mozambique. The employed data
covers the period 1964-2020 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 Mozambique. The results of the study indicate that IMR will
be around 52/1000 live births per year in the out-of-sample period. The
government is strongly encouraged to capacitate primary care health facilities
in the remote areas so that they are able to conduct safe deliveries and
provide basic essential newborn care.
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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