Modelling Differential Exposure and Differential Sensitivity Characteristics in Non-Melanoma Skin Cancer Incidence.

Abstract

A mathematical non-melanoma skin cancer incidence model is derived which includes the effects of differential exposure and differential sensitivity in the white population of a given geographic region. These effects, and their variations with geographic region, are shown to be fundamental to an understanding of the behavior of skin cancer incidence as it exists today and as it would be predicted to increase in the event of a decrease in stratospheric ozone. The model is applied to available New York City data to determine the representation in the population of nine postulated exposure-sensitivity groups. The effects of changes in exposure and sensitivity parameters on incidence are illustrated by comparing New York City with a hypothetical rural region at the same latitude. The effect of not eliminating non-solar-related skin cancers in skin cancer incidence data on the prediction of increased incidence due to stratospheric ozone reduction is found to introduce an error which may be positive or negative. Programs which should be pursued in order to effectively utilize the mathematical model are recommended. Areas requiring urgent attention include UV-B instrumentation, skin cancer pathology, skin cancer data collection and classification, and population exposure surveys. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1979
Accession Number
ADA081522

Entities

People

  • Pythagoras Cutchis

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Dermatology
  • Environmental Health
  • Geographic Regions
  • Health Services
  • High Altitude
  • Latitude
  • Mathematical Models
  • Melanoma
  • Models
  • New York
  • Probability
  • Probability Distributions
  • Public Health
  • Skin Cancer
  • Skin Diseases
  • Solar Ultraviolet Radiation
  • Ultraviolet Radiation

Readers

  • Computational Modeling and Simulation
  • Urban Planning and Geography.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Space