ARIMA, which stands for Autoregressive Integrated Moving Average, is a popular class of models used for analyzing and forecasting time series data. In the context of epidemiology, ARIMA models are employed to predict the future incidence or prevalence of diseases, monitor outbreaks, and evaluate the impact of public health interventions.
