Using Multiple Data Sources in GIS for Public Health Research
Track: Public Health
Authors: Craig Dearfield
To study the full range of factors that affect health outcomes, researchers can supplement primary data with secondary data sets. GIS database joining and management capabilities allowed the author to build a multi-level data set for hierarchical linear modeling analysis of the correlates of smoking cessation service utilization. The author will use results to describe how GIS can be used to combine primary data collection efforts with secondary data sets to obtain richer public health data.