Spatial Clustering of HIV Prevalence in Atlanta, Georgia, and Population Characteristics Associated With Case Concentrations
March 15, 2011
In the current report, researchers studied prevalent HIV cases in Atlanta, examining distribution trends and population characteristics at the census tract level that may be associated with clustering effects.
Cluster characteristics (area and internal prevalence) were calculated using Kulldorff's spatial scan method. Logistic regression analyses were performed to analyze sociodemographic variables associated with inclusion in a cluster. Researchers also identified locations of organizations offering voluntary HIV testing and counseling and assessed the average travel time to access the services.
Journal of Urban Health
02.2011; Vol. 88; No. 1: P. 129-141; Brooke A. Hixson; Saad B. Omer; Carlos del Rio; Paula M. Frew
This article was provided by CDC National Prevention Information Network. It is a part of the publication CDC HIV/Hepatitis/STD/TB Prevention News Update.
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