PREDICTION OF ANNUAL MATERNAL MORTALITY RATE FOR YEMEN USING HOLT’S LINEAR METHOD

Authors

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

Keywords:

Exponential smoothing, Forecasting, Maternal Mortality Ratio

Abstract

This study uses annual time series data on MMR for Yemen from 1985 to 2023 to predict future trends of MMR over the period 2024 to 2035. The study utilizes Holt’s double exponential smoothing model. The optimal values of smoothing constants α and β are 0.9 and 0.1 respectively based on minimum MSE. The results of the study indicate that MMR will drop from around 114 in 2024 to about 66 deaths per 100 000 live births in 2035. Therefore, we encourage authorities to address local causes of maternal deaths and direct some of the resources towards implementation of quality improvement strategies.

References

1.Moazzeni M.S (2013). Maternal mortality in the Islamic Republic of Iran: on track and in transition. Matern Child Health J. 17(4): 577–80.

2.UNICEF (2017). UNICEF global databases based on MICS, DHS and other nationally representative sources. 2017.

3.WHO (2016). Maternal mortality in 1990-2015 avail be at: http://www.who.int/gho/maternal_health /countries/yem.pdf

4.WHO (2019). ICD-11 (the 11th revision). In ICD-11 reference guide, part 2, Geneva. Available from: www.who.int/classifications/icd/e n/

5.WHO (2019). WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division. Trends in maternal mortality 2000 to 2017. Geneva: WHO; 2019 [cited 2020 February 14]. Available from https://creativecommons.org/licenses/by-nc-sa/3.0/igo.

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Published

2026-02-28

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Section

Articles

How to Cite

PREDICTION OF ANNUAL MATERNAL MORTALITY RATE FOR YEMEN USING HOLT’S LINEAR METHOD. (2026). Modern American Journal of Medical and Health Sciences, 2(2), 162-172. https://usajournals.org/index.php/1/article/view/2721

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