Objectives: To describe age-standardized incidence and disability-adjusted life years (DALYs) of ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) in the Kingdom of Saudi Arabia (KSA) from 1990 to 2019 and forecast these variables using the Global Burden of Diseases (GBD) data over the next years (2020-2030).
Methods: Poisson regression models were employed to identify significant changes in incidence rate ratios (IRRs) and DALY rates for different stroke types. For time series models, the autoregressive integrated moving average (ARIMA) and exponential smoothing state space (ETS) models were used for forecasting.