Methodological problems in investigating disease clusters

Daniel Wartenberg, Michael Greenberg

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Increased reporting of disease clusters is stretching health department resources while failing to uncover many significant environmental hazards. By reviewing the methodology by which health departments respond to such reports, we argue that there is a strong bias against investigating the most hazardous situations. Failure to find serious hazards is more a reflection of the methodology used than an assessment of the existence of environmental problems. The biases arise from the selection of situations that dictate full in-house consideration, the selection of the methodology used to evaluate reported or registry-based data and the interpretation given to anomalous observations. We argue for more rigorous evaluation of statistical cluster detection methods and for use of more objective criteria investigation protocols.

Original languageEnglish (US)
Pages (from-to)173-185
Number of pages13
JournalScience of the Total Environment, The
Volume127
Issue number1-2
DOIs
StatePublished - Dec 15 1992

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution

Keywords

  • disease clusters
  • epidemiology
  • health policy
  • simulation
  • statistical power
  • time-space clusters

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