Abstract
The field of STI epidemiology has recognized that nonrandom geographic disease distribution reflects in part patterns of social and sexual network formation. Despite the recognition of the importance and utility of the collection of geographic information and particularly sex partner geographic information, few studies have reported on the methods and results of the geocoding of sex partner data. Further there is evidence to suggest that there may be variation in the ability to geocode data by sex partner type — main vs. casual. This has important implications due to the potential introduction of misclassification of exposure due to missingness of data by sex partner type.
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