Abstract / Description
Background and aimHIV (Human Immunodeficiency Virus) is a virus that causes the immune system to be damaged, which results in reducing the body's ability to defend against infections and illnesses. This study aims to model new HIV cases among adults in KSA using selected growth, time series, and hybrid models.MethodsThe study utilized official data on new HIV/AIDS cases among adults (15-49) from the World Bank website for the period 1990-2024. Various growth, conventional time series and hybrid models were proposed and used to model the series. The accuracy measures like RMSE, MAE, MAPE, MASE, and SMAPE were used to compare models, and the DM test was applied to assess the consistency between model predictions. Results were considered statistically significant if p