Syphilis and HIV Co-infection in Mississippi: Implications for Control and Prevention

This study aimed to determine and describe the co-infection pattern in Mississippi by using a case-controlled design to analyze cases diagnosed with syphilis or HIV from 2007 to 2016. Direct matching was employed to identify cases that were co-infected during the same calendar year, and binary logistic regression analysis was used to determine predictors of co-infection. Results showed that 1736 (34.0%) of syphilis and HIV cases were co-infected during the same calendar year. Binary logistic regression results demonstrated that race, gender, age group, and exposure category were independently associated with co-infection status. These analyses highlighted the progressive increase of co-infection rates in Mississippi. Collaboration between STI/HIV surveillance teams may identify high-risk individuals and reduce transmission of both diseases.
Source: AIDS and Behavior - Category: Infectious Diseases Source Type: research