Use of Density Equalizing Map Projections (DEMP) in the analysis of childhood cancer in four California counties. Revision 2
- Lawrence Berkeley Lab., CA (United States)
In studying geographic disease distributions, one normally compares rates among arbitrarily defined geographic subareas (e.g. census tracts), thereby sacrificing the geographic detail of the original data. The sparser the data, the larger the subareas must be in order to calculate stable rates. This dilemma is avoided with the technique of Density Equalizing Map Projections (DEMP). Boundaries of geographic subregions are adjusted to equalize population density over the entire study area. Case locations plotted on the transformed map should have a uniform distribution if the underlying disease rates are constant. The present report describes the application of the DEMP technique to 401 childhood cancer cases occurring between 1980 and 1988 in four California counties, with the use of map files and population data for the 262 tracts of the 1980 Census. A k`th nearest neighbor analysis provides strong evidence for geographic non-uniformity in tract rates (p < 10{sup {minus}4}). No such effect is observed for artificial cases generated under the assumption of constant rates. Work is in progress to repeat the analysis with improved population estimates derived from both 1980 and 1990 Census data. Final epidemiologic conclusions will be reported when that analysis is complete.
- Research Organization:
- Lawrence Berkeley Lab., CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 132696
- Report Number(s):
- LBL--36630-Rev.2; CONF-950168--2-Rev.2; ON: DE96002438
- Country of Publication:
- United States
- Language:
- English
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Use of density equalizing map projections (DEMP) in the analysis of childhood cancer in four California counties