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Developing a Passive Time-Activity Triage System In support of Consumer Ingredient Exposure Prioritization.
Citation:
Goldsmith, M. AND K. Isaacs. Developing a Passive Time-Activity Triage System In support of Consumer Ingredient Exposure Prioritization. 24th Annual ISES Conference 2014, Cincinnati, OH, October 12 - 16, 2014.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA mission to protect human health and the environment. HEASD research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.
Description:
Chemical Hazard/toxicity assessment of chemicals relies on droves of chemical-biological data at the organism, tissue, cell, and biomolecular level of resolution. Big data in the context of exposure science relies on a comprehensive knowledge of societies’ and community activity levels at time-scales that can span seasons, years, over disparate geographical distances, involving a diverse array of product and chemical ingredient exposures as a function of these activities. OpenHealth platforms (symptoms), aggregated search term volume (Google trends), Social Media (Twitter) and consumer exposure “ground-truthing” activities with aggregated national consumer marketing/purchasing data holds the key in prioritizing and defining the nature of personal chemical exposures, and their geospatial variability to put a real-time fly-on-the-wall for chemical exposureprioritization. We provide an overview of our workflow, demonstrate how these web technologies can be integrated into a tractable triage system to better inform chemical exposure related study design (product, timing and population selection) and elucidate meaningful near-field exposures from consumer products.
