Prediction of HIV prevalence among individuals aged 15-49 years in Cameroon using Holt’s linear method

This study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Cameroon from 1990 to 2020 to predict future trends of HIV prevalence over the period 2021 to 2030. The study utilizes Holt’s linear method. The optimal values of smoothing constants α and β are 0.9 and 0.2 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, policy makers are encouraged to scale up HIV case detection, prevention and treatment particularly among key populations and vulnerable groups in the society.

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Publication Details

Journal
Texas Journal of Medical Science
Published
2024-08-14
DOI
https://doi.org/10.62480/tjms.2024.vol35.pp4-10
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction of HIV prevalence among individuals aged 15-49 years in Cameroon using Holt’s linear method

Thabani Nyoni, Smartson. P. Nyoni
Texas Journal of Medical Science
Bayesian Methods and Mixture Models
article

Prediction of HIV prevalence among individuals aged 15-49 years in Cameroon using Holt’s linear method

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 Cameroon from 1990 to 2020 to predict future trends of HIV prevalence over the period 2021 to 2030. The study utilizes Holt’s linear method. The optimal values of smoothing constants α and β are 0.9 and 0.2 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, policy makers are encouraged to scale up HIV case detection, prevention and treatment particularly among key populations and vulnerable groups in the society.

Texas Journal of Medical ScienceVol. 35
University of Zimbabwe (ZW)
Openalex Percentile: Top 86%
Bayesian Methods and Mixture Models
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