A Combination HIV Prevention Strategy for Young Women at Risk for HIV

Summary

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Despite remarkable advances in the global HIV response with 17 million persons, out of nearly 37 million living with HIV, who have initiated antiretroviral therapy (ART) in low- and middle-income countries (LMIC) as of end of 2015, there were an estimated 5,700 new HIV infections each day and a tota...

Despite remarkable advances in the global HIV response with 17 million persons, out of nearly 37 million living with HIV, who have initiated antiretroviral therapy (ART) in low- and middle-income countries (LMIC) as of end of 2015, there were an estimated 5,700 new HIV infections each day and a total of 2.1 million new HIV infections in 2015, of which 66% were in sub-Saharan Africa (SSA). Key populations within the generalized HIV epidemics in SSA, including female sex workers (FSW), have received insufficient attention, with data indicating that they are at disproportionate risk with limited access to prevention and treatment services. Globally, new infections among key populations and their sexual partners accounted for 36% of all new HIV infections in 2015. HIV prevalence among FSW is 29.3% worldwide. While reliable HIV prevalence estimates are lacking, younger FSW <25 years may be at significantly greater risk due to the confluence of biological, behavioral and structural risk factors.6 Mathematical modeling suggests that the proportion of new HIV infections attributable to sex work is likely to increase over time. In settings where key populations contribute substantially to HIV burden, as in Kenya, effective integrated prevention strategies are urgently needed for populations such as FSW and can have a substantial impact on reducing new HIV infections. In 2012, HIV prevalence among Kenyan 15-64 year olds was 5.6%, with 1,192,000 people living with HIV, but was markedly higher (15.1%) in the region of Kenya, formerly named Nyanza Province. HIV prevalence is 14.1% among FSW and 7.6% among male clients of sex workers (MC). FSW contribute significantly to new HIV infections in Kenya,14 with modelled estimates showing that 1 in 3 new HIV infections can be attributed to key populations.

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