International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Predicting Under Five Mortality Rate for China Using Artificial Neural Networks

Abstract

This study uses annual time series data on under five mortality rate (U5MR) for China from 1969 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast evaluation criteria of the applied model indicate that the ANN (12, 12, 1) is stable in forecasting under five mortality rate. The ANN model projections indicate that annual U5MR will continue to drop over the out of sample period. Therefore, we encourage the Chinese government to continue supporting maternal and child health programs by addressing various challenges faced by under five children in disadvantaged regions of the country. 

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. 178-181

doi.org/10.47001/IRJIET/2022.607036

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