Prediction of HIV prevalence among individuals aged 15-49 years in Eritrea using Holt’s linear exponential smoothing model
DOI:
https://doi.org/10.62480/tjms.2024.vol34.pp44-50Keywords:
Exponential smoothing, Forecasting, HIV prevalenceAbstract
This study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Eritrea 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, we encourage authorities to focus on prevention measures especially among high risk groups such as adolescents and key populations.
References
UNAIDS (2021). Global HIV & AIDS statistics—2021 fact sheet. http:// www. unaids.org/ en/
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Das M, Chu PL, Santos G-M, Scheer S, Vittinghoff E (2010). Decreases in community viral load are
accompanied by reductions in new HIV infections in San Francisco. PLoS ONE. 2010; 5: e11068
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