Projection of HIV prevalence among individuals aged 15-49 years in Chile using Holt’s double exponential smoothing model

This study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Chile 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 0.6 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 on an upward trend over the out of sample period. Therefore, we encourage authorities to scale up demand generation for all HIV services especially among key populations and vulnerable groups.

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Publication Details

Journal
Texas Journal of Medical Science
Published
2024-08-16
DOI
https://doi.org/10.62480/tjms.2024.vol35.pp11-17
Primary Topic
Statistical Methods in Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Projection of HIV prevalence among individuals aged 15-49 years in Chile using Holt’s double exponential smoothing model

Thabani Nyoni, Smartson. P. Nyoni
Texas Journal of Medical Science
Statistical Methods in Epidemiology
article

Projection of HIV prevalence among individuals aged 15-49 years in Chile using Holt’s double exponential smoothing model

Thabani Nyoni, Smartson. P. Nyoni
article en

Abstract

This study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Chile 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 0.6 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 on an upward trend over the out of sample period. Therefore, we encourage authorities to scale up demand generation for all HIV services especially among key populations and vulnerable groups.

Texas Journal of Medical ScienceVol. 35
University of Zimbabwe (ZW)
Openalex Percentile: Top 83%
Statistical Methods in Epidemiology
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