Tracking the Future Path of Under Five Mortality in Zambia Using the Multilayer Perceptron Neural Network

Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Zambia from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast evaluation criteria indicate that the applied ANN (12, 12, 1) model is stable in forecasting under five mortality rate. ANN model forecast results indicated thatU5MR will remain high over the out of sample period. Therefore, we encourage the Zambian government to allocate more resources to the maternal and child health (MNCH) program and address all the factors that significantly contribute to under five mortality across 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. 559-562

doi.org/10.47001/IRJIET/2022.607125

References

  1. UNICEF. (2019). Levels and trends in child mortality: report 2019. Estimates developed by the UN Inter-agency Group for child mortality estimation. New York: UNICEF.
  2. United Nations. (2015). transforming our world: The 2030 agenda for sustainable development, A/RES/70/1. New York: UN General Assembly.
  3. UN (2020) sustainable development goals. https://www.un.org/sustainabl development/development-agenda
  4. UNICEF (2018). Every Child alive. New York: UNICEF
  5. World Health Organization (WHO) (2019). SDG 3: Ensure healthy lives and promote wellbeing for all at all ages.
  6. Kayode GA., Grobbee DE., and Amoakoh-Coleman M (2017). Variation in neonatal mortality and its relation to country characteristics in sub-Saharan Africa: an ecological study. BMJ Glob Health 2017; 2: e000209. doi:10.1136/ bmjgh-2016-000209
  7. United Nation. Transforming our world: The 2030 agenda for sustainable development 2016.