Non-stationarity refers to the property of a process whose statistical characteristics, such as mean and variance, vary over time. In the context of epidemiology, this concept is crucial as it affects the analysis and modeling of disease patterns and outbreaks. Non-stationary data can lead to incorrect inferences if not properly accounted for.
