Detecting future trends of HIV prevalence among individuals aged 15-49 years for Congo using Holt’s double exponential smoothing technique

Abstract

This study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Congo from 1990 to 2020 to predict future trends of HIV prevalence over the period 2021 to 2030. 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 annual HIV prevalence among individuals aged 15-49 years will continue to decline over the out of sample period. Therefore, there is need to continuously support HIV prevention, testing, and treatment among this age group.