ARIMA is a type of time series analysis that forecasts future points based on past data. It is defined by three parameters: p (autoregressive order), d (degree of differencing), and q (moving average order). The model is versatile, capable of capturing various patterns in the data and making it particularly useful for predicting the spread of infectious diseases and other public health concerns.
