Check out this causal inference review paper!
Investigators considered scenarios in which the potential outcomes of an individual can depend on the treatment of other individuals in the population, known as causal inference with interference. They review some of the different types of effects that have been defined for dependent happenings, particularly using the methods of causal inference with interference. Many of the methods are applicable across disciplines, such as infectious diseases, social sciences, and economics.