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

Analysis of Under Five Mortality Rate for Tanzania 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: 501-504

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 06-09-2022

doi Logo doi.org/10.47001/IRJIET/2022.607111

pdf iconFull Text PDF
Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Tanzania 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) is stable in forecasting under five mortality rate. The ANN model projections revealed thatU5MR will remain high throughout the out of sample period. Therefore, we encourage the Tanzanian government to address all the challenges that significantly contribute to under five mortality and affect the quality of the maternal and child health program.

Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Analysis of Under Five Mortality Rate for Tanzania Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 501-504, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607111

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. Lawn J E., Blencowe H., and Waiswa P (2016), for The Lancet Ending Preventable Still‑ births Series study group with The Lancet Stillbirth Epidemiology investigator group, et al. Stillbirths: rates, risk factors, and acceleration towards 2030. Lancet. 2016.
  7. The World Bank (2019). Mortality rate, under-5 (per 1,000 live births). https://data.worldbank.org/indicator/sh.dyn.mort
  8. United Nation. Transforming our world: The 2030 agenda for sustainable development 2016.
  9. Hug L., Alexander M., You D., and Alkema L (2019). National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis. Lancet Glob Heal, 7, 6, e710–20.
  10. WHO (2018). Jamaica country cooperation strategy at a glance, 1-2.
  11. DATASUS (2020). Information systems on live births and mortality. Brazilian Ministry of Health, 2020
  12. World Bank (2020). Maternal Mortality Ratio. https://databank.worldbank.org/reports.
  13. World Bank (2020). Child Mortality Rate. https://data.worldbank.org/indicator/SH.DYN.MORT

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.