The autocorrelation function quantifies the similarity between observations as a function of the time lag between them. In epidemiology, it is used to identify whether disease cases are independent over time or if there is a pattern suggesting a possible outbreak or seasonality. The ACF is particularly useful for infectious diseases where transmission dynamics are influenced by previous cases.
