This project adopts a system dynamics approach to study the impact of behavioral, demographic and environmental factors on Lyme disease transmission and prevention in built environments by developing a simulation model of Lyme incidence using ecological and social, behavioral and demographic risk factors for transmission, and to determine the most cost-effective prevention strategies.