Why is Non-Stationarity Important in Epidemiology?
Understanding non-stationarity is essential for accurate epidemiological modeling. Disease incidence and prevalence often change over time due to various factors such as seasonality, public health interventions, and changes in population behavior. Ignoring these temporal variations can result in flawed predictions and ineffective control measures.
