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Assessing environmental justice using Bayesian hierarchical models: two case studies.

B P Carlin1, H Xia

  • 1University of Minnesota, School of Public Health, Minneapolis 55455, USA. brad@muskie.biostat.umn.edu

Journal of Exposure Analysis and Environmental Epidemiology
|April 6, 1999
PubMed
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Hierarchical Bayesian methods offer a robust statistical approach for environmental justice research. These advanced techniques integrate complex environmental data to better understand health disparities.

Area of Science:

  • Environmental Science
  • Biostatistics
  • Epidemiology

Background:

  • Assessing environmental justice requires advanced statistical methods, which have lagged in development.
  • Existing methods struggle to integrate diverse environmental data with complex spatial and temporal correlations.

Purpose of the Study:

  • To investigate the application of hierarchical Bayesian methods for environmental justice assessment.
  • To demonstrate the utility of these methods in analyzing complex environmental health relationships.

Main Methods:

  • Utilized hierarchical Bayesian modeling to combine disparate environmental data sources.
  • Applied methods to analyze spatial and temporal correlations in environmental exposures and health outcomes.
  • Reviewed Bayesian approaches for disease mapping and adapted them for environmental justice.

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Main Results:

  • Case study 1: Assessed the impact of a nuclear facility on surrounding county lung cancer rates.
  • Case study 2: Examined the relationship between ambient ozone levels and pediatric asthma emergency room visits in Atlanta.
  • Demonstrated the feasibility of integrating complex environmental data for health impact assessments.

Conclusions:

  • Hierarchical Bayesian methods provide a powerful framework for environmental justice research.
  • These methods can effectively analyze complex environmental exposures and their health consequences.
  • Future work should focus on further methodological development and broader application in environmental justice studies.