Modeling Historical Exposures from Residential Proximity to Pesticide Applications
Track: Health and Human Services
Author(s): Rudy Rull, Beate Ritz, Greg Maglinte
We developed a GIS-based model to assess historical pesticide exposure of residents living in central California, which will allow us to estimate study subjects' exposure likelihood from residential proximity to pesticide applications. The model is based on two data sets: (1) pesticide use data from the California Pesticide Use Report (PUR) system from 1972 to the present, and (2) detailed California county land-use maps. Our model assumes that the likelihood for exposure from residential proximity to the use of a specific pesticide is based on (1) the proportion of crop acres treated, (2) the application rate, and (3) the application frequency.
Parkinson's Disease, Environment, and Genes Study
Los Angeles, CA 90095-1772