Using empirical evidence generated by Holt’s linear method to inform HIV programming in Brazil

dc.contributor.authorDr. Smartson. P. NYONI
dc.contributor.authorThabani NYONI
dc.date.accessioned2026-01-01T10:19:09Z
dc.date.issued2024-06-25
dc.description.abstractThis study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Brazil from 1990 to 2020 to predict future trends of HIV prevalence over the period 2021 to 2030. The study utilizes Holt’s linear method (HLM). The optimal values of smoothing constants α and β are 0.4 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 generally maintain an upward trend over the out of sample period. Therefore, we encourage authorities to scale up educational campaigns among the sexually active age group with particular emphasis on HIV prevention strategies such as correct and consistent use of condoms, behavior change, PrEP and voluntary medical male circumcision.
dc.formatapplication/pdf
dc.identifier.urihttps://zienjournals.com/index.php/tjms/article/view/5550
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/59900
dc.language.isoeng
dc.publisherZien Journals
dc.relationhttps://zienjournals.com/index.php/tjms/article/view/5550/4546
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceTexas Journal of Medical Science; Vol. 33 (2024): TJMS; 80-86
dc.source2770-2936
dc.subjectExponential smoothing
dc.subjectForecasting
dc.titleUsing empirical evidence generated by Holt’s linear method to inform HIV programming in Brazil
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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