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Objectives: This paper reports HIV prevalence, incidence, progress towards the UNAIDS (90-90-90) targets, and HIV drug resistance among adolescents living with HIV in South Africa. We conducted secondary analyses using data extracted from the South African national HIV prevalence surveys (2005–2017). Analyses were stratified by sex and age (10–14 and 15–19-years), presenting weighted descriptive statistics, and realised totals. Results: HIV prevalence increased from 3.0% in 2012 to 3.7% in 2017, translating to 360 582 (95% CI 302 021-419 144) HIV positive adolescents in 2017. Female adolescents bear a disproportionate HIV burden of 5.6% prevalence versus 0.7% for males. HIV incidence remained relatively stable. For the UNAIDS 90-90-90 targets, approximately 62.3% of adolescents knew their HIV status, 65.4% of whom were on antiretroviral therapy, and of these 78.1% on antiretroviral therapy had attained viral load suppression. There are knowledge gaps pertaining to the magnitude of perinatal infections and postnatal infections, and socio-behavioural risk factors for HIV transmission among adolescents in South Africa. There is still a need for focussed interventions targeting adolescent (1) gender disparities in HIV risk (2) screening for HIV, (3) sustained access and adherence to antiretroviral therapy and (3) retention in care to maintain viral load suppression. [ABSTRACT FROM AUTHOR]

Background: Adolescents are at increased risk of HIV infection compared to other age groups. There is an urgent need for strategic information that will inform programmes to reduce risk and vulnerability to HIV and reverse the pattern of increasing HIV infection as they transition to adulthood. This paper analysed trends and factors associated with HIV prevalence among adolescents in South Africa using the national HIV population-based household surveys conducted in 2008, 2012 and 2017. Methods: All three surveys used a multistage cross-sectional design. A trend analysis was conducted to assess the differences in HIV prevalence and covariates overtime using P-trend Chi-squared statistic. Univariate and multivariate logistic regression models were used to determine factors associated with HIV prevalence. Results: Overall there was a significant increase in HIV prevalence among adolescents aged 12–19 years from 3.0% (n = 2892) in 2008 to 3.2% (n = 4829) in 2012 and 4.1% (n = 3937) in 2017 (p = 0.031). The odds of being HIV positive among adolescents aged 12–19 years was significantly higher among females [AOR = 2.24; 95% CI (1.73–2.91); p < 0.001] than males, those residing in KwaZulu-Natal province [AOR = 2.01; 95% CI (1.-3.99); p = 0.027] than Northern Cape, and those who did not attend an educational institution and were unemployed [AOR = 2.66; 95% CI (1.91–3.67); p < 0.001] compared to those attending an educational institution. The odds were significantly lower among Whites [AOR = 0.29; 95% CI (0.09–0.93); p = 0.037], Coloureds [AOR = 0.21; 95% CI (0.11–0.37); p ≤ 0.001] and Indian/Asian [AOR = 0.08; 95% CI (0.02–0.34); p = 0.001] population groups than Black Africans. Conclusion: The observed increasing trend and gender disparities in HIV prevalence suggests an urgent need for age appropriate and gender specific HIV interventions tailored and targeted at identified drivers of HIV infection among adolescents. [ABSTRACT FROM AUTHOR]