Search

Your search keyword '"Westgate, John N."' showing total 25 results
Start Over Author "Westgate, John N."
25 results on '"Westgate, John N."'

2. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways

Author

Ring, Caroline L, Arnot, Jon A, Bennett, Deborah H, Egeghy, Peter P, Fantke, Peter, Huang, Lei, Isaacs, Kristin K, Jolliet, Olivier, Phillips, Katherine A, Price, Paul S, Shin, Hyeong-Moo, Westgate, John N, Setzer, R Woodrow, and Wambaugh, John F

Subjects
Prevention, Consensus, Diet, Environmental Exposure, Environmental Monitoring, Humans, Pesticides, Risk Assessment, Environmental Sciences
Abstract

Prioritizing the potential risk posed to human health by chemicals requires tools that can estimate exposure from limited information. In this study, chemical structure and physicochemical properties were used to predict the probability that a chemical might be associated with any of four exposure pathways leading from sources-consumer (near-field), dietary, far-field industrial, and far-field pesticide-to the general population. The balanced accuracies of these source-based exposure pathway models range from 73 to 81%, with the error rate for identifying positive chemicals ranging from 17 to 36%. We then used exposure pathways to organize predictions from 13 different exposure models as well as other predictors of human intake rates. 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. The consensus model yields an R2 of ∼0.8. We extrapolate to predict relevant pathway(s), median intake rate, and credible interval for 479 926 chemicals, mostly with minimal exposure information. This approach identifies 1880 chemicals for which the median population intake rates may exceed 0.1 mg/kg bodyweight/day, while there is 95% confidence that the median intake rate is below 1 μg/kg BW/day for 474572 compounds.

Published
2019

7. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways

Author

Ring, Caroline L., Arnot, Jon, Bennett, Deborah H., Egeghy, Peter, Fantke, Peter, Huang, Lei, Isaacs, Kristin K., Jolliet, Olivier, Phillips, Katherine, Price, Paul S., Shin, Hyeong-Moo, Westgate, John N, Setzer, R. Woodrow, Wambaugh, John F., Ring, Caroline L., Arnot, Jon, Bennett, Deborah H., Egeghy, Peter, Fantke, Peter, Huang, Lei, Isaacs, Kristin K., Jolliet, Olivier, Phillips, Katherine, Price, Paul S., Shin, Hyeong-Moo, Westgate, John N, Setzer, R. Woodrow, and Wambaugh, John F.

Abstract

Prioritizing the potential risk posed to human health by chemicals requires tools that can estimate exposure from limited information. In this study chemical structure and physicochemical properties were used to predict the probability that a chemical might be associated with any of four exposure pathways leading from sources – consumer (near-field), dietary, far-field industrial, and far-field pesticide – to the general population. The balanced accuracies of these source-based exposure pathway models range from 73-81%, with the error rate for identifying positive chemicals ranging from 17-36%. We then used exposure pathways to organize predictions from thirteen different exposure models as well as other predictors of human intake rates. We created a consensus, meta-model using the Systematic Empirical Evaluation of Models (SEEM) 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. The consensus model yields an R2 of ~0.8. We extrapolate to predict relevant pathway(s), median intake rate, and credible interval for 479,926 chemicals, mostly with minimal exposure information. This approach identifies 1,880 chemicals for which the median population intake rates may exceed 0.1 mg/kg bodyweight/day, while there is 95% confidence that the median intake rate is below 1 µg/kg BW/day for 478,046 compounds.

Published
2019

8. Systematic Empirical Evaluation of Models to Inform Risk Prioritization

Author

Wambaugh, John, Isaacs, Kristin, Phillips, Katherine, Ring, Caroline, Arnot, Jon A., Bennett, Deborah, Egeghy, Peter, Fantke, Peter, Huang, Lei, Jolliet, Olivier, Hyeong-Moo Shin, Westgate, John N., and Setzer, Woodrow

Subjects
Toxicology
Abstract

Presentation to International Society of Exposure Science (ISES) annual meeting Aug 2018

Published
2018
Full Text
View/download PDF

9. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways

Author

Ring, Caroline L., primary, Arnot, Jon A., additional, Bennett, Deborah H., additional, Egeghy, Peter P., additional, Fantke, Peter, additional, Huang, Lei, additional, Isaacs, Kristin K., additional, Jolliet, Olivier, additional, Phillips, Katherine A., additional, Price, Paul S., additional, Shin, Hyeong-Moo, additional, Westgate, John N., additional, Setzer, R. Woodrow, additional, and Wambaugh, John F., additional

Published
2018
Full Text
View/download PDF

12. Systematic Empirical Evaluation of Models for Risk Prioritization

Author

Wambaugh, John, primary, Isaacs, Kristin, additional, Phillips, Katherine, additional, Ring, Caroline L., additional, Arnot, Jon, additional, Bennett, Deborah H., additional, Egeghy, Peter Paul, additional, Fantke, Peter, additional, Huang, Lei, additional, Jolliet, Olivier, additional, Shin, Hyeong-Moo, additional, Westgate, John N., additional, and Setzer, R. Woodrow, additional

Published
2018
Full Text
View/download PDF

13. Application of XAD-resin based passive air samplers to assess local (roadside) and regional patterns of persistent organic pollutants

Author

Barthel, Paul, Thuens, Sabine, Shunthirasingham, Chubashini, Westgate, John N., Wania, Frank, Radke, Michael, Barthel, Paul, Thuens, Sabine, Shunthirasingham, Chubashini, Westgate, John N., Wania, Frank, and Radke, Michael

Abstract

We used XAD-resin based passive air samplers (PAS) to measure atmospheric levels of polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs) at five ombrotrophic bogs in Eastern Canada. The aims of our study were to investigate the influence of local roads on contaminant levels in the bogs, to derive the regional pattern of atmospheric concentrations, and to assess the uncertainties of the method. Expanded uncertainties based on the duplicate PAS deployed at 24 sites were good for the PAHs, while the deployment period of approx. 100 days was too short to yield acceptable uncertainties for PCBs. The regional PAH distribution was in good agreement with the calculated source proximity of the sampled bogs. We conclude that XAD-resin based PAS deployed for comparatively short periods are well suited for measuring atmospheric concentrations of volatile PAHs, while in remote regions longer deployment is necessary for less volatile PAHs and for PCBs., AuthorCount:6

Published
2012
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results