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Exploratory spatial relative risk mapping.

Olaf Berke1

  • 1Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ont., Canada. oberke@uoguelph.ca

Preventive Veterinary Medicine
|August 27, 2005
PubMed
Summary

This study introduces an exploratory method for mapping spatial relative risk in disease epidemiology. It identifies unknown risk factors by analyzing disease clusters and their geographical distribution.

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Area of Science:

  • Spatial Epidemiology
  • Disease Mapping
  • Geographical Risk Assessment

Background:

  • Traditional disease mapping includes case locations, counts, and risk.
  • Existing relative risk mapping relies on regression models with known risk factors.
  • Spatial epidemiological studies often lack knowledge of risk factors, necessitating exploratory methods.

Purpose of the Study:

  • To develop an exploratory approach for mapping spatial relative risk.
  • To identify and understand the geographical distribution of unknown risk factors.
  • To provide tools for spatial epidemiological investigations with limited prior information.

Main Methods:

  • Scaling risk maps using background risk in unexposed populations.
  • Utilizing cluster analysis to define exposure to unknown spatial risk factors.
  • Delineating exposed (inside clusters) and unexposed (outside clusters) populations.

Main Results:

  • The proposed method offers insights into the importance of unknown spatial risk factors.
  • It reveals the geographical distribution of these risk factors.
  • Demonstrated utility with real-world data on pseudorabies and small fox tapeworm.

Conclusions:

  • Exploratory relative risk mapping is valuable for identifying unknown spatial risk factors.
  • This approach enhances spatial epidemiological investigations.
  • The method provides a framework for understanding geographically varying disease risks.

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