Relationship Between Toxicity Values for the Military Population and Toxicity Values for the General Population

Abstract

The present chemical warfare agent toxicity estimates are not suitable for use With the general population (GP) because they are framed for male soldiers. A method was created to convert the median effective dose and Bliss slope to estimates applicable to the GP. It was assumed that individual susceptibilities have a log-normal distribution. Two mathematical models were developed to describe a healthy or sensitive subpopulation (SP). In the tail model, the SP consists of all individuals having susceptibilities within a tail of the GP distribution. In the bell model, the SP has a lognormal distribution. The median and the Bliss slope of an SP were determined as a function of the SP size. The two models gave similar results. Historical military demographics were used to estimate the size of the healthy SP from which military personnel are drawn. Uncertainty factors were obtained from the tail and bell models. Uncertainty factors from both models were consistent with the results of two previous studies that quantified differences between populations. Based on our analysis, revisions are required in the intraspecies uncertainty factors used in establishing proposed acute exposure guideline levels for threshold lethality due to inhalation of nerve agents.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2002
Accession Number
ADA400214

Entities

People

  • Douglas R. Sommerville
  • Ronald B. Crosier

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Casualties
  • Chemical Warfare
  • Chemical Warfare Agents
  • Chemical Weapons
  • Demography
  • Distribution Functions
  • Factor Analysis
  • G Agents
  • Human Population
  • Lethality
  • Mathematical Models
  • Military Personnel
  • Models
  • Nerve Agents
  • Normal Distribution
  • Phosgene
  • Toxicity

Readers

  • Computational Modeling and Simulation
  • Statistical inference.
  • Toxicology/Environmental Toxicology

Technology Areas

  • Space
  • Space - Orbital Debris