Quantitative exposure reconstruction is a valuable tool for epidemiologic studies, hazard risk management, and disease causation analysis. Historical exposures can be quantitatively reconstructed using a variety of methods, including job-matrix analyses of industrial hygiene data, simulation studies conducted under prescribed settings, and monitoring of biological media, as well as indoor air emission and dispersion modeling. This roundtable discussion will present modern principles and approaches for conducting quantitative exposure reconstruction for different exposure scenarios. A series of case studies (e.g., weapons production, aircraft manufacturing, consumer products) will be used to illustrate the application of different state-of-the art tools and will highlight considerations for study design, data analysis, and interpretation across a range of industries, exposure conditions, and populations (e.g., industrial vs. community). These approaches have broad-reaching applications not only for
industrial hygiene, but also for epidemiology, human health and environmental risk analysis, and product sustainability.
• Quantitative Exposure Reconstruction for Epidemiologic Studies. S. Lacey, University of Illinois at Chicago, Chicago, IL.
• Simulation Studies to Assess Historical Exposure and Health Risk. A.K. Madl, ChemRisk Inc., San Francisco, CA.
• Exposure and Dose Analyses with Biomonitoring. T. Widner, ChemRisk Inc., San Francisco, CA.
• Advancements of Exposure Modeling Beyond the Box Model. M. Nicas, University of California, Berkeley, Berkeley, CA.
• A New Guideline on Exposure Reconstruction. S. Viet, Westat, Steamboat Springs, CO.