Prediction of HIV prevalence among individuals aged 15-49 years in Eritrea using Holt’s linear exponential smoothing model

dc.contributor.authorDr. Smartson. P. NYONI
dc.contributor.authorThabani NYONI
dc.date.accessioned2026-01-01T10:19:08Z
dc.date.issued2024-07-24
dc.description.abstractThis 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.
dc.formatapplication/pdf
dc.identifier.urihttps://zienjournals.com/index.php/tjms/article/view/5531
dc.identifier.uri10.62480/tjms.2024.vol34.pp44-50
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/59897
dc.language.isoeng
dc.publisherZien Journals
dc.relationhttps://zienjournals.com/index.php/tjms/article/view/5531/4529
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceTexas Journal of Medical Science; Vol. 34 (2024): TJMS; 44-50
dc.source2770-2936
dc.subjectExponential smoothing
dc.subjectForecasting
dc.subjectHIV prevalence
dc.titlePrediction of HIV prevalence among individuals aged 15-49 years in Eritrea using Holt’s linear exponential smoothing model
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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