Applied computing Journal

Volume 1 , Issue 2 , April 2021

Mathematical Regression Models for Analyzing and Forecasting Diabetes prevalence in Oman

  • Jabar H. yousif
Jabar H. yousif
ACAA Publisher

Abstract

Diabetes mellitus has a significant impact on people's lives and drugs financial burden. On the other hand, diabetes also has substantial economic effects on countries and national health systems. Most countries spend between 5% and 20% of their total health expenditures on diabetes. This is due to the increased use of health services, lack of productivity, and the long-term demand for complications associated with diabetes, such as kidney failure, blindness, and heart problems. This is why diabetes poses a significant challenge to healthcare systems and hinders sustainable economic development. This work is concerned with proposing mathematical models characterized by accuracy and ease in predicting the number of diabetics type 2 in the Sultanate of Oman. By analyzing the proposed mathematical models of the current work (1, 2, and 3), it was found that the proposed mathematical model in Equation 6 can accurately predict the number of diabetics in Oman up to 2050. In order to test the model's accuracy and validity, we revised it with actual data. The results prove the accuracy of the proposed model in predicting future data of 99%. Lastly, several recommendations were recorded that could help to reduce the prevalence of diabetes type 2 in Oman.

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References

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DOI: https://doi.org/10.52098/acj.202132
Published June 1, 2021
Keywords
  • Diabetes,
  • Forecasting models,
  • Health-care in Oman,
  • Linear regression
How to Cite
yousif, J. H. (2021). Mathematical Regression Models for Analyzing and Forecasting Diabetes prevalence in Oman. Applied Computing Journal, 1(Issue 2), 91-102. https://doi.org/10.52098/acj.202132

Copyright (c) 2021 Author(s) of this work retain copyright and grant the journal right, publishing license of first publication with the work simultaneously licensed under Creative Commons Attribution International License (CC BY 4.0). Author(s) and ACAA permit unrestricted use, distribution, and reproduction in any medium, provided the original work with proper citation. ACAA publishing house is located in Oman / Sohar , Zip code 311. ISNI 0000 0004 9361 5767

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This work is licensed under a Creative Commons Attribution 4.0 International License.