APPLYING HOLT’S LINEAR METHOD TO FORECAST HIV PREVALENCE AMONG INDIVIDUALS AGED 15-49 YEARS IN GHANA

dc.contributor.authorDr. Smartson. P. NYONI
dc.contributor.authorThabani NYONI
dc.date.accessioned2025-12-29T17:56:29Z
dc.date.issued2024-09-11
dc.description.abstractThis study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Ghana 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, there is need to scale up HIV testing and strengthen HIV prevention among this age group.
dc.formatapplication/pdf
dc.identifier.urihttps://webofjournals.com/index.php/5/article/view/1751
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/24055
dc.language.isoeng
dc.publisherWeb of Journals Publishing
dc.relationhttps://webofjournals.com/index.php/5/article/view/1751/1729
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceWeb of Medicine: Journal of Medicine, Practice and Nursing ; Vol. 2 No. 9 (2024): WOM; 8-13
dc.source2938-3765
dc.subjectExponential smoothing, Forecasting, HIV prevalence.
dc.titleAPPLYING HOLT’S LINEAR METHOD TO FORECAST HIV PREVALENCE AMONG INDIVIDUALS AGED 15-49 YEARS IN GHANA
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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