Understanding the epidemiological HIV risk factors and underlying risk context for youth residing in or originating from the Middle East and North Africa (MENA) region: A scoping review of the literature
Bibliographic record
Abstract
INTRODUCTION: HIV is the second leading cause of death among young people globally, and adolescents are the only group where HIV mortality is not declining. Middle East and North Africa (MENA) is one of few regions seeing rapid increase of HIV infections (31.0%) since 2001. MENA youth are at particular risk of HIV due to dearth of research and challenges in accessing services. OBJECTIVE: The purpose of this scoping review is to establish the epidemiological HIV risk factors and underlying risk context for youth residing in or originating from the MENA region. METHODS: Online database searches were conducted using combination of search terms. Screening 5,853 citations, published between 1990-2019 with age groups 16 to 29, resulted in 57 studies included across 18 MENA countries. RESULTS: 'Key populations' engage in risky behaviors, including: overlapping risky behaviors among youth who inject drugs (PWID); lack of access to HIV testing, condomless sex, and multiple sex partners among young men who have sex with men (MSM); and high and overlapping risk behaviors among young sex workers. Challenges facing other youth groups and bridging populations include: peer pressure, inhibition about discussing sexual health, lack of credible sex education sources, low condom use, and lack of access to HIV protection/prevention services, especially testing. CONCLUSION: Poor surveillance coupled with scarcity of rigorous studies limit what is known about epidemiology of HIV among youth in MENA. Homophobia, stigma around PWID, and illegal status of sex work promote non-disclosure of risk behaviors among youth and curtail serving this population.
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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 | 0.009 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.022 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 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".