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

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DOI Prefix: 10.47001/IRJIET

Predicting Future Trends of Under Five Mortality Rate for Ecuador Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 7 (2022): Volume 6, Issue 7, July 2022 | Pages: 219-222

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 18-08-2022

doi Logo doi.org/10.47001/IRJIET/2022.607045

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Abstract
This study uses annual time series data on under five mortality rate for Ecuador 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 model is stable in forecasting under five mortality rate. The ANN (12, 12, 1) model projections indicated that U5MR will continue to decline over the out of sample period. Therefore, we encourage authorities in Ecuador to allocate more resources to the maternal and child health program so as to keep under five mortality below 25 deaths per 1000 live births. 
Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Predicting Future Trends of Under Five Mortality Rate for Ecuador Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 219-222, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607045

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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. McKinnon B., Harper S., Kaufman J. S., and Bergevin Y (2014). Socioeconomic inequality in neonatal mortality in countries of low and middle income: A multicountry analysis. Lancet Glob Health, 2, 3, e165–73. 
  7. Adeyinka D. A., Olakunde B. O., and Muhajarine N (2019). Evidence of health inequity in child survival: spatial and Bayesian network analyses of stillbirth rates in 194 countries. Sci Rep, 9, 1, 1–11.
  8. El Ansari W., Ur Rahman S., Nimeri N., Latiph E., Yousafzai M. T., and Tohid H (2015). Level of maternal education is a significant determinant of neonatal survival: A PEARL study analysis. J Coll Physicians Surg Pakistan, 25, 2, 151–3.
  9. United Nation. Transforming our world: The 2030 agenda for sustainable development 2016. 

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