APPLYING HOLT’S LINEAR METHOD TO FORECAST HIV PREVALENCE AMONG INDIVIDUALS AGED 15-49 YEARS IN GHANA

Authors

  • Dr. Smartson. P. NYONI ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  • Thabani NYONI Independent Researcher & Health Economist, Harare, Zimbabwe

Keywords:

Exponential smoothing, Forecasting, HIV prevalence.

Abstract

This study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Ghana from 1990 to 2020 to predict future trends of HIV prevalence over the period 2021 to 2030. The study utilizes Holt’s linear 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 annual HIV prevalence among individuals aged 15-49 years will continue to decline over the out of sample period. Therefore, there is need to scale up HIV testing and strengthen HIV prevention among this age group.

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Published

2024-09-11

How to Cite

Dr. Smartson. P. NYONI, & Thabani NYONI. (2024). APPLYING HOLT’S LINEAR METHOD TO FORECAST HIV PREVALENCE AMONG INDIVIDUALS AGED 15-49 YEARS IN GHANA. Web of Medicine: Journal of Medicine, Practice and Nursing, 2(9), 8–13. Retrieved from https://webofjournals.com/index.php/5/article/view/1751

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