The material in this talk demonstrates how the mathematical modeling of residential exposure to secondhand smoke can be used to address important issues in public health, including intervention efforts, exposure mitigation strategies, and policy.  The simulation approach that is used incorporates a sophisticated indoor air quality model and both sampled and scripted variation in the room-to-room movement and activities of house occupants.