Chemical Exposure Pathway Prediction for Screening and Priority-Setting

Description

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).

Resources

Name Format Description Link
57 SupTable-all.chem.preds-2018-11-28.zip https://pasteur.epa.gov/uploads/10.23719/1503182/SupTable-all.chem.preds-2018-11-28.zip
53 SupplementalTables2-4.xlsx https://pasteur.epa.gov/uploads/10.23719/1503182/SupplementalTables2-4.xlsx
10 seem3-supplemental-120418-UNLINKED.docx https://pasteur.epa.gov/uploads/10.23719/1503182/seem3-supplemental-120418-UNLINKED.docx

Tags

  • seem
  • exposure
  • nhanes
  • expocast

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