Analyzing Future Trends of Under Five Mortality Rate for Sao Tome and Principe Using Artificial Neural Networks

Abstract

This study uses annual time series data on under five mortality rate for Sao Tome and Principe from 1965 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 projections suggested that annual U5MR will hover around 17 deaths per 1000 live births throughout the out of sample period. Therefore, the government of Sao Tome and Principe should continue providing financial support to the maternal and child health program in order to keep under five mortality under control. 

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. 446-449

doi.org/10.47001/IRJIET/2022.607098

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. Bloom D. E., Kuhn M., and Prettner K (2020). The contribution of female health to economic development. Econ J. 130, 630:1650–77
  7. United Nation. Transforming our world: The 2030 agenda for sustainable development 2016.
  8. 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.