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The Product Use Scheduler: A Component in the Combined Human Exposure Model
Citation:
East, A., K. Dionisio, K. Isaacs, P. Price, S. Brady, S. Brady, Dan Vallero, T. Hong, J. Levasseur, AND A. Varghese. The Product Use Scheduler: A Component in the Combined Human Exposure Model. 2021 ISES Annual Meeting (Virtual), Durham, North Carolina, August 30 - September 02, 2021. https://doi.org/10.23645/epacomptox.15157482
Impact/Purpose:
Limited data are available to assess potential chemical risks to humans from manufacture, use, and disposal of consumer products and articles. Tools are needed to access and leverage available data on chemical manufacture, use, and occurrence for important chemical exposure scenarios and pathways across the product lifecycle. Scientific workflows are designed to execute a series of computational or data manipulation steps. The simplest automated scientific workflows are scripts that call in data, models, and other inputs and produce outputs that may include analytical results and visualizations. The value of using this approach is that domain-specific data types and tools can be made available to the exposure scientist and easily accessible to the exposure assessor for specific decision contexts. This product provides regulatory scientists, students and researchers with the ability to effectively access and exploit the many in silico data streams to support different regulatory purposes and supports current Agency efforts to reduce mammal study requests by 30% by 2025, and completely eliminate all mammal study requests and funding by 2035.
Description:
Product Use Scheduler (PUS) is one of three critical modules in the United States EPA’s Consolidated Human Exposure Model (CHEM). PUS allows prediction of longitudinal data from exposure to chemicals in consumer products. In order to do this, PUS assigns consumer products to individual people based on input human behavior. The module uses year-long daily activity patterns (created by a separate CHEM module) to set durations for macro behaviors: sleeping, eating, working/school, commuting, and idle time. Using these macro behaviors, PUS then predicts product use based on the durations and type of macro behaviors, the prevalence of the product use, and the demographics of the generated population households. The generated human population data comes from RPGen, an earlier module in CHEM. PUS will not allow the use of a consumer product if it is not possible, such as using kitchen cleaning supplies during work or commuting hours. PUS also determines seasonality use of consumer products, such as pool supplies. The resulting output incorporates longitudinal data predictions based on demographic characteristics, product use and exposure, macro behaviors, and seasonality. These results are then used to model human exposure to chemicals in products and their corresponding release to the environment. This output is the input into the next module in the CHEM workflow, i.e. Source-to-Dose.
URLs/Downloads:
DOI: The Product Use Scheduler: A Component in the Combined Human Exposure Model
ORD-041999_SLIDES ISES.PDF (PDF, NA pp, 483.363 KB, about PDF)