Seasonal adjustment is a statistical method used to remove the effects of seasonal variation from epidemiological data. In the context of epidemiology, this allows researchers to better understand the underlying trends and patterns in disease incidence that are not due to seasonal changes. By eliminating these variations, the analysis of long-term trends, cyclical patterns, and irregular fluctuations becomes more accurate.