Assessing the Feasibility of Achieving Substantial Reduction of Under Five Mortality in Burundi by 2030 Using Artificial Neural Networks

Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Burundi from 1964 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast performance measures indicate that the applied ANN (12. 12, 1) model is stable in forecasting U5MR. The study findings indicated that U5MR will remain high over the out of sample period. Therefore, we implore the government of Burundi to allocate more resources to maternal and child health (MNCH) programs in the country in order to substantially reduce under five mortality to as low as 25 deaths per 1000 live births by 2030. 

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Independent Researcher & Health Economist, Harare, Zimbabwe

IRJIET, Volume 6, Issue 7, July 2022 pp. 149-152

doi.org/10.47001/IRJIET/2022.607030

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