APPLYING HOLT’S LINEAR METHOD TO PREDICT HIV PREVALENCE AMONG INDIVIDUALS AGED 15-49 YEARS FOR LIBERIA USING HOLT’S LINEAR METHOD

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 Liberia 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 0.8 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, we encourage authorities to scale up of HIV case detection, prevention and treatment especially among high risk groups.

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Published

2024-04-30

How to Cite

Dr. Smartson. P. NYONI, & Thabani NYONI. (2024). APPLYING HOLT’S LINEAR METHOD TO PREDICT HIV PREVALENCE AMONG INDIVIDUALS AGED 15-49 YEARS FOR LIBERIA USING HOLT’S LINEAR METHOD. Web of Medicine: Journal of Medicine, Practice and Nursing, 2(4), 271–276. Retrieved from http://webofjournals.com/index.php/5/article/view/1761

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