Moran's I is a measure of spatial autocorrelation, which quantifies the degree to which similar values in a dataset are clustered together geographically. In the context of epidemiology, it is used to assess whether the distribution of a health-related event (e.g., disease incidence, mortality rate) is randomly distributed or exhibits some form of spatial pattern.