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Full-Text Articles in Medicine and Health Sciences
Risk Factor Detection As A Metric Of Starhs Performance For Hiv Incidence Surveillance Among Female Sex Workers In Kigali, Rwanda, Sarah L. Braunstein, Janneke H. Van De Wijgert, Joseph Vyankandondera, Evelyn Kestelyn, Justin Ntirushwa, Denis Nash
Risk Factor Detection As A Metric Of Starhs Performance For Hiv Incidence Surveillance Among Female Sex Workers In Kigali, Rwanda, Sarah L. Braunstein, Janneke H. Van De Wijgert, Joseph Vyankandondera, Evelyn Kestelyn, Justin Ntirushwa, Denis Nash
Publications and Research
Background:
The epidemiologic utility of STARHS hinges not only on producing accurate estimates of HIV incidence, but also on identifying risk factors for recent HIV infection.
Methods:
As part of an HIV seroincidence study, 800 Rwandan female sex workers (FSW) were HIV tested, with those testing positive further tested by BED-CEIA (BED) and AxSYM Avidity Index (Ax-AI) assays. A sample of HIV-negative (N=397) FSW were followed prospectively for HIV seroconversion. We compared estimates of risk factors for: 1) prevalent HIV infection; 2) recently acquired HIV infection (RI) based on three different STARHS classifications (BED alone, Ax-AI alone, BED/Ax-AI combined); and …