MATERNAL MORTALITY FORECASTING FOR NAMIBIA USING A MACHINE LEARNING TECHNIQUE

Authors

  • Smartson. P. NYONI Independent Researcher & Medical Doctor, Harare, Zimbabwe Author
  • Thabani NYONI Independent Researcher & Health Economist, Harare, Zimbabwe Author

Keywords:

ANN, Forecasting, Maternal Mortality Ratio

Abstract

This research article employs annual time series data on MMR for Namibia from 1985 to 2023 to predict future trends of MMR over the period 2024 to 2035. The forecast evaluation criteria of the applied model indicate that the ANN (12, 12, 1) model is stable. The neural network model projections revealed that MMR is expected to increase and remain very high throughout the out of sample period. Therefore, we encourage the government to adopt the suggested 5-fold policy prescription.

References

1.Geetika S., Mohan L., Tejbir S., and Shyam S.D (2015). To study the utilization of antenatal services among the pregnant women of rural Amritsar: An international study. International Journal of current Research, 2015; 7(5), p. 5789-15792.

2.Khanal V., Mishra R.S., and Karkee R (2015). Under-utilization of antenatal care services in Timor-Leste: results from demographic and health survey 2009-2010. BMC Pregnancy and Childhood, 2015;15(211)

3.Kvale G., Olsen B.E., Hinderaker S.G., Ulstein M., and Bergsjo P (2005). Maternal Deaths in Developing Countries: A Preventable Tragedy, Norsk Epidemiology, 2005; 15(2) p. 141-149.

4.WHO (2009). WHO Recommended Interventions for Improving Maternal and Newborn Health (2nd edition). Geneva: WHO Department of Making Pregnancy Safer; 2009.

5.WHO (2010). WHO, UNICEF, UNIFPA, The World Bank. Trends in maternal mortality 1990-2008: Global Health Observatory. Geneva: WHO Publication; 2010

6.WHO (2014). WHO, UNICEF. Every Newborn: an action plan to end preventable deaths. Geneva: World Health Organization; 2014. Available from: http://www.everynewborn.org/Documents/Full-action-plan-EN.pdf.

7.World Health Organization. (2023). Trends in maternal mortality 2000 to 2020: Estimates by WHO, UNICEF, UNFPA, World Bank Group and UNDESA/Population Division. World Health organization.

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Published

2026-02-28

Issue

Section

Articles

How to Cite

MATERNAL MORTALITY FORECASTING FOR NAMIBIA USING A MACHINE LEARNING TECHNIQUE. (2026). Modern American Journal of Medical and Health Sciences, 2(2), 122-130. https://usajournals.org/index.php/1/article/view/2717

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