In this study an exposure simulation model was used to delimit almost exactly in space and time an urban population exposed to airborne dioxin. GIS was used as the electronic environment in which to link the exposure model with the demographic, migration, and cancer data of the exposed population. Incidence ratios (SIRs) for both men and women in 10-year age bands were calculated for three different exposure areas. Migration patterns were outlined and showed no excess of cancer incidences during the time span chosen between 1986-1998. The integration of the model in a GIS together with individual data on addresses, sex, age, migration, and information from routine health statistics proved to be useful in demarking the exposed population and identifying the cancers related to that population.
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Melissa Lawrence, Rutgers Student Intern, VERTICES, LLC