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Demonstration of Human Exposure Tools

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Abstract: The Human Exposure and Atmospheric Sciences Division (HEASD) of the National Exposure Research Laboratory (NERL) conducts research on exposure measurements, human activity patterns, exposure and dose models, and cumulative exposures critical for the Agency to make scientifically based regulatory decisions. For this exposition, the following four (4) major HEASD research projects are presented and demonstrated.

HEDS. The major focus of the Human Exposure Database System (HEDS) is the dissemination of human exposure databases via the World Wide Web. These data collected by HEASD, or its contractors and collaborators will provide needed information on human exposure to researchers, exposure and risk assessors, and the public. HEDS will ensure that data sets on human exposure measurements, activity patterns, and exposure factors are available, easily understood, and readily accessible for exposure analysts and modelers.

CHAD. Personal exposure monitoring studies have demonstrated the critical role that activities play in explaining and predicting variation in exposure and intake dose from all media. NERL has undertaken a number of activity surveys, including the National Human Activity Pattern Survey (NHAPS), and has combined its data and others into the Consolidated Human Activity Database (CHAD). CHAD facilitates queries by the public and exposure modelers needing activity information. Since inhalation, water consumption, and food ingestion can be related to a personal energy expenditure indicator in CHAD, this database facilitates multi-route exposure and uptake dose modeling.

SHEDS. Risk assessors and managers need realistic exposure and dose prediction tools. NERL has developed Stochastic Human Exposure and Dose Simulation (SHEDS) model to improve the scientific basis of exposure assessments. The primary objectives for the SHEDS model are: (1) to provide a refined and evaluated exposure model tool with the capability to address exposures for cumulative risk assessments; and (2) to apply the model to conduct reliable probabilistic population exposure assessments for specific case studies of importance to the Agency (e.g., pesticides, wood preservatives, particulate matter, air toxics).

ERDEM. The Exposure-Related Dose-Estimating Model (ERDEM) is a physiologically based pharmacokinetic (PBPK) modeling framework and a set of applied PBPK models for several different chemicals or groups of related chemicals. ERDEM simulates absorption into the body by multiple routes of entry (e.g., dermal absorption, ingestion, and inhalation), and the distribution, metabolism, and elimination of chemicals. These exposure-to-dose models provide the essential linkage between experimental data and assumptions established by regulation, and dose-response models designed by toxicologists.

Reference herein to any specific commercial products, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government, and shall not be used for advertising or product endorsement purposes. With respect to documents available from this server, neither the United States Government nor any of their employees, makes any warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.
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Citation:Kryak, D. D. Demonstration of Human Exposure Tools. Presented at EPA Science Forum 2004, Washington, DC, June 1-3, 2004.
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Contact: Liz Hope - (919) 541-2785 or hope.elizabeth@epa.gov
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Division: Human Exposure & Atmospheric Sciences Division
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Branch: Immediate Office
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Product Type: Abstrct/Oral
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Presented: 06/02/2004
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Related Entries:
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Bullet Item Models and Modeling Methods for Assessing Human Exposure and Dose to Toxic Chemicals and Pollutants
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