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An integrated framework to identify significant human exposures (SHELs)

M M Mumtaz1, W Cibulas, C T DeRosa

  • 1Agency for Toxic Substances and Disease Registry, U.S. Department of Health and Human Services, Atlanta, Georgia 30333, USA.

Chemosphere
|July 1, 1995
PubMed
Summary

This study introduces a new multimedia framework for health risk assessors to identify significant human exposure levels (SHELs) by considering multiple exposures. The framework integrates data and models to evaluate public health risks and guide interventions.

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Area of Science:

  • Environmental Health
  • Risk Assessment
  • Public Health

Background:

  • Traditional health risk assessments often focus on single chemical exposures via one medium (air, water, food).
  • Existing environmental laws typically regulate chemicals within specific matrices and exposure routes.
  • Real-world environmental exposures frequently involve multiple chemicals, media, and routes simultaneously.

Purpose of the Study:

  • To present a novel multimedia framework for health risk assessors.
  • To enable site-specific identification of significant human exposure levels (SHELs).
  • To integrate diverse data and decision-support models for comprehensive risk evaluation.

Main Methods:

  • Development of a decision-tree framework linking health guidance values (e.g., minimal risk levels) with site-specific data.

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  • Utilization of decision-support models to estimate total dose from multiple exposures.
  • Comparison of estimated total dose against established guidance values to determine levels of concern.
  • Main Results:

    • The framework facilitates the identification of significant human exposure levels (SHELs) on a site-specific basis.
    • It allows for the estimation of a level of concern by comparing total exposure dose with guidance values.
    • The approach integrates data from various sources, including agency and federal organizations, and basket-survey results.

    Conclusions:

    • The multimedia framework enhances the integration of the overall health assessment process.
    • It effectively evaluates the necessity for public health interventions, such as surveillance and health education.
    • The framework demonstrates the utility of innovative decision-support methods in public health practice.