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Leukaemia clusters in Great Britain. 2. Geographical concentrations
1Department of Public Health and Epidemiology, University of Birmingham, Edgbaston, United Kingdom.
Journal of Epidemiology and Community Health
|December 1, 1992
Summary
Childhood leukaemia and lymphoma cases show significant geographical clustering within 0.5 km, suggesting an infectious epidemic process rather than random distribution. This spatial analysis highlights short-range concentrations in disease patterns.
Area of Science:
- Epidemiology
- Spatial Analysis
- Pediatric Oncology
Background:
- Childhood cancers, including leukaemia and lymphoma, represent a significant public health concern.
- Previous studies suggested potential space-time interactions in disease occurrence.
- Understanding geographical patterns is crucial for identifying potential environmental or infectious links.
Purpose of the Study:
- To investigate the presence of short-range spatial clusters in childhood leukaemia and lymphoma registrations.
- To analyze geographical distributions of childhood cancer cases in England, Wales, and Scotland.
Main Methods:
- Geographical cluster analysis of childhood leukaemia and lymphoma registrations (0-14 years) from 1966-1983.
- Inclusion of 8888 out of 9411 registrations with detailed demographic and locational data.
- Comparison of case pair addresses and postcode sharing against random postcode data.
Main Results:
- A statistically significant excess of case pairs with addresses separated by less than 0.5 km was observed.
- A significant excess of case pairs sharing the same postcode was identified.
- These findings were based on a priori hypotheses derived from prior space-time interaction studies.
Conclusions:
- The observed geographical concentrations and space-time interactions suggest a common epidemic process.
- The epidemiology of childhood leukaemia and lymphoma is characterized by short-range spatial clustering and temporal variations.
- The findings support a biological basis, likely an infective process, for these disease patterns, ruling out certain confounding factors.