A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology

Agent-based simulation modelling has been used in many epidemiological studies on infectious diseases. However, because agent based modelling is a field without any clear protocol for developing simulations the researcher is given a high amount of flexibility. This flexibility has led to many di erent forms of agent-based epidemiological simulations. In this paper we review the existing literature on agent-based epidemiological simulation models. From our literature review we identify key similarities and di erences in the existing simulations. We then use these similarities and di erences to create a taxonomy of agent-based epidemiological models and show how the taxonomy can be used.