Chapter 16. Modeling Exposures to Chemicals from Multiple Sources and Routes

  1. Dr. Kannan Krishnan PhD, DABT, FATS Professor Director visiting scientist2 and
  2. Dr Melvin E. Andersen PhD, DABT, CIH, FATS Director3
  1. Panos G. Georgopoulos1,
  2. Sastry S. Isukapalli1 and
  3. Dr. Kannan Krishnan PhD, DABT, FATS Professor Director visiting scientist2

Published Online: 30 MAR 2010

DOI: 10.1002/9780470686263.ch16

Quantitative Modeling in Toxicology

Quantitative Modeling in Toxicology

How to Cite

Georgopoulos, P. G., Isukapalli, S. S. and Krishnan, K. (2010) Modeling Exposures to Chemicals from Multiple Sources and Routes, in Quantitative Modeling in Toxicology (eds K. Krishnan and M. E. Andersen), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470686263.ch16

Editor Information

  1. 2

    Département de santé environnementale et santé au travail, Ecole de santé publique & Faculté de médecine, Université de Montréal, Montréal, Canada

  2. 3

    Program in Chemical Safety Sciences, The Hamner Institutes for Health Sciences, Research Triangle Park, NC, USA

Author Information

  1. 1

    Computational Chemodynamics Laboratory, Environmental and Occupational Health Sciences Institute (EOHSI), Piscataway, NJ, USA

  2. 2

    Département de santé environnementale et santé au travail, Ecole de santé publique & Faculté de médecine, Université de Montréal, Montréal, Canada

Publication History

  1. Published Online: 30 MAR 2010
  2. Published Print: 26 MAR 2010

ISBN Information

Print ISBN: 9780470998090

Online ISBN: 9780470686263

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Keywords:

  • model application and evaluation;
  • modeling exposures to chemicals - from multiple sources and routes;
  • “Completed Exposure Pathway” (CEP);
  • multistep modeling framework for exposure, dose and environmental health risk assessment;
  • physiologically based pharmacokinetic (PBPK) and toxicokinetic modeling - in exposure modeling;
  • Population Based Exposure Models (PBEMs) versus “specific” Individual Based Exposure Models (IBEMs);
  • NEM/pNEM (National Exposure Model and Probabilistic National Exposure Model);
  • modeling approaches for integrated environmental assessments;
  • Bayesian Markov Chain Monte Carlo (MCMC) technique;
  • Fast Equivalent Operational Model (FEOM)

Summary

This chapter contains sections titled:

  • Introduction

  • Developments in Exposure Modeling

  • Case Study: Subject-Specific Individual Based Exposure Modeling

  • Case Study: Numerical Probabilistic Modeling; Population Exposure Modeling

  • Diagnostic Modeling for Assessing Exposure: Estimating Exposures from Biomarkers

  • Conclusion

  • Acknowledgments

  • References