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The High-Throughput Stochastic Human Exposure and Dose Simulation Model (SHEDS-HT) & The Chemical and Products Database (CPDat)
Citation:
Dionisio, K. AND K. Isaacs. The High-Throughput Stochastic Human Exposure and Dose Simulation Model (SHEDS-HT) & The Chemical and Products Database (CPDat). 2016 Annual ISES Meeting, Utrecht, NETHERLANDS, October 09 - 13, 2016.
Impact/Purpose:
Presented at 2016 Annual ISES Meeting to be held in Utrecht, The Netherlands, from 9-13 October 2016.
Description:
The Stochastic Human Exposure and Dose Simulation Model – High-Throughput (SHEDS-HT) is a U.S. Environmental Protection Agency research tool for predicting screening-level (low-tier) exposures to chemicals in consumer products. This course will present an overview of this model and provide attendees an opportunity to participate in a hands-on tutorial for creating a high-throughput population-based aggregate exposure simulation. The first module will include an overview of the model terminology, algorithms, default input datasets, and model outputs. The second module will include an overview of existing EPA tools for exploring available chemical use and consumer product composition data. The final module will include a hands-on case-study tutorial which will include 1) using the tools described in module 2 to develop inputs for SHEDS-HT for chemicals in a variety of consumer products, and 2) parameterizing SHEDS-HT with these data and running the model to produce population aggregate exposure predictions.This workshop will also present a tutorial on a new, updated database of consumer product composition and chemical use information. It incorporates new sources of MSDS data, predicted weight fractions from consumer product ingredient lists, and reported and predicted chemical functional uses. It can be used to generate the product input data required for running an aggregate SHEDS-HT prediction for one or more chemicals in over 300 consumer product categories.
