The Augmented Dickey-Fuller (ADF) test is a statistical test used to determine whether a time series dataset is stationary or has a unit root, indicating non-stationarity. In the context of epidemiology, this test can be particularly useful for analyzing time series data related to disease incidence, prevalence, or other health-related metrics.
