Many statistical and forecasting studies of the COVID-19 pandemic are crucially dependent on several techniques, including linear regression analysis, epidemiological models, AutoRegressive Integrated Moving Average (ARIMA ), and Artificial Neural Network (ANN). These techniques have been applied in various country-specific scenarios and have consistently demonstrated their efficacy in forecasting the dynamics and prevalence of pandemics. ARIMA is a widely used method in COVID-19 forecasting studies, relying on time-series data. (Toa, Atalay, & Toksari, 2021).

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