stdClass Object ( [id] => 14918 [paper_index] => 202501-10-019753 [title] => MODELLING HIV-PREVALENCE AMONG INDIVIDUALS AGED 15-49 IN UGANDA [description] => [author] => Nahabwe Patrick Kagambo John, Maniple Everd Bikaitwoha [googlescholar] => [doi] => [year] => 2025 [month] => January [volume] => 11 [issue] => 1 [file] => fm/jpanel/upload/2025/January/202501-10-019753.pdf [abstract] => This study models HIV prevalence among individuals aged 15-49 in Uganda, by utilizing historical data from 1990 to 2022 using an autoregressive integrated moving average (ARIMA) approach. Time-series data from the World Bank is employed, with HIV prevalence (% of population aged 15-49) as the dependent variable while autoregressive (AR) and moving average (MA) components are the independent variables. Parameter estimation, conducted using generalized least squares (GLS), revealing a negative and statistically significant AR(1) coefficient (-0.705706), implying a strong inverse relationship between the previous year’s HIV prevalence and the current year’s prevalence accounting for approximately 71%. Estimated ARIMA (1, 2, 5) model is covariance stationary and invertible, confirming its robustness in forecasting HIV prevalence trends. Projections indicate a gradual stabilization between 5.2% in 2023 and 5.1% by 2042, signaling diminishing returns in reducing HIV prevalence rates. We recommend implementing targeted interventions including effective HIV prevention and treatment programs and supporting long-term strategies to reduce HIV prevalence in the country. [keywords] => ARIMA modelling, HIV-prevalence [doj] => 2025-01-25 [hit] => [status] => [award_status] => P [orderr] => 4 [journal_id] => 10 [googlesearch_link] => [edit_on] => [is_status] => 1 [journalname] => International Journal of Global Economic Light (JGEL) [short_code] => IJEP [eissn] => 2250-2017 [pissn] => [home_page_wrapper] => images/products_image/7.JGEL.png ) Error fetching PDF file.