Semivariance is often employed in epidemiology to measure the risk of adverse health outcomes. It allows for a more focused analysis of the lower tail of the distribution, which is often where most public health concerns lie. For instance, in the context of incidence rates of infectious diseases, it can help identify areas with significantly lower health outcomes, aiding in targeted intervention strategies.