Initial Human Response to Nuclear Radiation

Abstract

This report documents the results of the first phase of an investigation into the nuclear effects on military troop performance. Both signs and symptoms associated with radiation sickness were examined to develop models of human response to radiation as a function of dose, time and symptom severity. Data on the early symptomatic effects of radiation exposure were gathered from some 150 books, articles and monographs. The analysis of this data focused on human data collected from the victims of nuclear accidents and therapy patients. Data from the survivors of the Japanese atomic bombs were excluded because of data imprecision and questions raised about the accuracy of reported exposure levels. A hypothetical exposed population was divided of reported groups based on the sensitivity of individuals to radiation: hyper-, hypo-, and normsensitives. The population was also classified by the severity of their symptoms; unaffected and mildly, moderately and severely affected. Using this data, relationships for the onset time and duration of acute symptoms after a given radiation dose were developed. Conceptual models were then derived for (1) individual response as a function of dose, time after exposure, and severity of symptoms, (2) population response (percentage affected in various degrees), and (3) links between individual and population responses.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1982
Accession Number
ADA137543

Entities

People

  • G. H. Anno
  • H. L. Brode
  • Ruth Washton-brown

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Employment
  • Gamma Rays
  • Health Services
  • Hematologic Diseases
  • Ionizing Radiation
  • Medical Personnel
  • National Security
  • Nuclear Radiation
  • Nuclear Weapons
  • Radiation Effects
  • Radiation Sickness
  • Therapy
  • War Colleges
  • Warfare

Fields of Study

  • Medicine

Readers

  • Cardiovascular Physiology
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Regression Analysis.