ARIMA models are crucial in epidemiology for several reasons. First, they help in disease forecasting, enabling public health officials to prepare for outbreaks. Second, they assist in understanding the temporal dynamics of disease spread, which is essential for implementing timely interventions. Lastly, ARIMA models can be used to evaluate the effectiveness of public health measures by comparing predicted trends with actual outcomes.
