Age-dependent inequalities in HIV/STI burden and care receipt among men and transgender persons who have sex with men in Nairobi
Bibliographic record
Abstract
Abstract Background Gay, bisexual and other men who have sex with men (GBMSM) and transgender persons (TP) bear high burdens of HIV and other sexually transmitted infections (STIs) in sub-Saharan Africa, yet evidence of HIV care coverage for these groups is sparse from the region despite prevailing stigma and discrimination towards these groups. Methods 618 GBMSM/TP were recruited in Nairobi between May to December 2017 using respondent-driven sampling. Participants reported recent sexual behaviour, HIV testing and care receipt, and symptoms of STIs. Participants tested for HIV using Kenyan testing algorithms and GeneXpert methods, syphilis, viral hepatitis and ano-genital gonorrhoea and chlamydia. We assessed associations with HIV status and detectable HIV viral load using multivariable robust Poisson regression models. Findings 26.4% (286/618) were HIV positive of whom 76.5% were status aware, 65.3% were on ART, and 47.4% were virally suppressed (<50 copies/ml). Participants 18-22 years old were less likely to be status aware, be receiving ART or to have achieved viral suppression. Mean log viral load was 3.14 log higher in 18-22 year olds compared to older participants. Bacterial STIs were frequently detected at both urethral and rectal sites and a majority of infections at both sites were asymptomatic by self-report (rectal 82.2%, urethral 90.8%). Interpretation Engagement in the HIV diagnosis and care cascade among GBMSM/TP in Kenya is markedly better than in most sub-Saharan African countries. However it falls short of achievements among the general population in the country and cascades achieved in GBMSM in high income settings. Young men and transgender persons who have sex with men are least well served by the current configuration of adult key population services, and programmes should identify and address the sexual, social and developmental needs of adolescent and young key populations
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".