Projecting Under Five Mortality Rate for Mauritania Using an Artificial Intelligence Technique
Abstract
This study uses
annual time series data on under five mortality rate (U5MR) for Mauritania from
1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals
and model evaluation statistics indicate that the applied ANN (12, 12, 1) is
stable in forecasting under five mortality rate. ANN model projections revealed
that U5MR will remain high throughout the out of sample period. Therefore, we
encourage the government of Mauritania to address all the factors that
significantly contribute to under five mortality by allocating more resources
to the maternal and child health (MNCH) program.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Independent Researcher & Health Economist, Harare, Zimbabwe
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