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Chemical Exposure Pathway Prediction for Screening and Priority-Setting
OwnerUnited State Environmental Protection Agency - view all
Update frequencyunknown
Last updatedabout 1 year ago
Overview

We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive ability for chemical intake rates inferred from human biomonitoring data for 114 chemicals. This dataset is associated with the following publication: Ring, C., J. Arnot, D. Bennett, P. Egeghy, P. Fantke, L. Huang, K. Isaacs, O. Jolliet, K. Phillips, P. Price, H. Shin, J. Westgate, R. Setzer, and J. Wambaugh. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(2): 719-732, (2019).

expocastexposurenhanesseem
Additional Information
KeyValue
dcat_modified2018-12-04
dcat_publisher_nameU.S. EPA Office of Research and Development (ORD)
guidhttps://doi.org/10.23719/1503182
ib1_trust_framework[]
language
Files
  • ZIP
    cdc1b389-1dd5-4cd4-b06c-063efb703b27
  • XLSX
    701c0690-6690-4d6d-bcde-822d6496fca5
  • DOCX
    db3f4b4d-2d01-4df2-898b-79b1948cbb9e
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