Figure 1.
HIV, Syphilis and Active Tuberculosis Cases, 2005–2007.
Based on public health surveillance data from January 2005 through December 2007, disease-specific cases were geocoded, including 665 HIV cases, 150 active TB cases, and 155 syphilis cases, with a match rate of 93%. An overlay map with data for all three diseases was used to identify two high-density “hot spots” (outlined).
Figure 2.
Population Density Maps, Wake County, NC by Census Blocks, 2000 and 2010.
Kernel density maps generated from U.S. Census block centroids (2000 and 2010 data) demonstrate that population density alone (total population per square mile) does not reliably predict the identified disease “hot spots”.
Table 1.
Demographics and Behaviors of Study Participants.
Table 2.
Sociodemographic Characteristics of General Population in Study Areas, Wake County, and North Carolina.
Table 3.
Measured Prevalence of HIV, Latent Tuberculosis, and Syphilis in Study Group Compared to Health Department Clinic Population.
Figure 3.
Yield and Follow-up from Geographic-based Screening for HIV, TB, and Syphilis.
After six months of follow-up, three persons completed LTBI treatment, three persons with HIV were linked to care, and no patients presented for syphilis therapy