Community-Wide Health Risk Assessment Using Geographically Resolved Demographic Data: A Synthetic Population Approach

摘要

BackgroundEvaluating environmental health risks in communities requires models characterizing geographic and demographic patterns of exposure to multiple stressors. These exposure models can be constructed from multivariable regression analyses using individual-level predictors (microdata), but these microdata are not typically available with sufficient geographic resolution for community risk analyses given privacy concerns.