In studying geographic disease distributions, one normally compares rates among arbitrarily defined geographic subareas (for example, 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 rat
THE FOUR COUNTY STUDY OF CHILDHOOD CANCER: CLUSTERS IN CONTEXT
β Scribed by PEGGY REYNOLDS; DANIEL F. SMITH; ENID SATARIANO; DAVID O. NELSON; LYNN R. GOLDMAN; RAYMOND R. NEUTRA
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 909 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
β¦ Synopsis
Observations of childhood 'cancer clusters' in small communities in central California prompted us to examine the distribution of childhood cancer in communities throughout the region to see if the overall cancer rate or the distribution of 'cancer clusters' was unusual for agricultural towns where pesticide exposure might be elevated. The distribution of rates was evaluated using a variety of methods: comparison of rates to the regional average, evaluation of the empirical observed versus expected Poisson distribution of events, and multivariate modelling using Poisson regression. These analyses suggest that there were no previously undiscovered communities with excess rates, although the index community which prompted the initial investigation does stand out as unusual. We discuss the impact ofa range of forces of morbidity on the likelihood of 'cancer clusters' and the distribution of observed and expected numbers of cancers in a population of locales. 1. BACKGROUND Observed excesses of childhood cancer in several small communities in California's agricultural Central Valley during the 1980s, including the well-publicized reported cluster in the farming * Work performed was while employed at the California Department of Health Services and does not represent the official policies of the U.S. EPA.
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