Prediction Of Maternal Mortality For El Salvador Using The Double Exponential Smoothing Technique
DOI:
https://doi.org/10.62480/tjms.2026.vol56.pp70-78Keywords:
Exponential smoothing, Forecasting, Maternal Mortality RatioAbstract
This study uses annual time series data on MMR for El Salvador 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 0.8 and 0.2 respectively based on minimum MSE. The results of the study indicate that MMR will decline to levels around 28 deaths per 100 000 live births by end of 2035. Therefore, we encourage authorities tirelessly address local drivers of maternal deaths and improve reporting of severe maternal morbidity.Downloads
Published
2026-10-21
Issue
Section
Articles
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
User Rights
Under the Creative Commons Attribution-NonCommercial 4.0 International (CC-BY-NC), the author (s) and users are free to share (copy, distribute and transmit the contribution).
Rights of Authors
Authors retain the following rights:
1. Copyright and other proprietary rights relating to the article, such as patent rights,
2. the right to use the substance of the article in future works, including lectures and books,
3. the right to reproduce the article for own purposes, provided the copies are not offered for sale,
4. the right to self-archive the article.
How to Cite
Prediction Of Maternal Mortality For El Salvador Using The Double Exponential Smoothing Technique. (2026). Texas Journal of Medical Science, 56, 70-78. https://doi.org/10.62480/tjms.2026.vol56.pp70-78
