Evaluating HIV prevention strategies with agent-based models
Agent-based modeling is often referred to as a “bottom up” micro-simulation method, in which population-level outcomes are generated from the behaviors and interactions of individual agents. Agent-based models are useful for simulating the transmission and evolution of health outcomes that are contagious, including (but not limited to) infectious diseases. In this talk, I will describe an agent-based model that simulates HIV transmission in a dynamic network of men who have sex with men (MSM). I will present preliminary results of a study that uses this model to evaluate the hypothetical effectiveness of a novel, long-acting preexposure prophylaxis therapy to reduce HIV incidence among MSM.
Dr. Marshall is an Associate Professor of Epidemiology at the Brown University School of Public Health. His research focuses on substance use epidemiology, infectious diseases, and the social, environmental, and structural determinants of health of urban populations.