Cango Lyec (Healing the Elephant): Gender Differences in HIV Infection in Post-conflict Northern Uganda
Bibliographic record
Abstract
BACKGROUND: As previously encamped resettle, potential for rapid HIV transmission in post-conflict Northern Uganda is concerning. Women in particular may be experiencing heightened vulnerability resulting from war-related sexual violence. SETTING: Cango Lyec (Healing the Elephant) Project is a cohort involving conflict-affected people in 3 districts in Northern Uganda. METHODS: Eight randomly selected communities were mapped, and a census was conducted. Participants aged 13-49 years completed questionnaires in Luo on war-related experiences, mental health, sexual vulnerabilities, and sociodemographics. Blood samples were tested for HIV and syphilis. Baseline data from all sexually active participants was used to determine gender differences in HIV prevalence. Multivariate modeling determined correlates of HIV by gender. RESULTS: Among 2008 participants, HIV prevalence was higher among women [17.2; 95% confidence interval (CI): 14.7 to 19.7] compared to men (10.6; 95% CI: 8.0 to 13.2, <0.001). Among women, correlates of HIV included: war-related sexual assault [adjusted odds ratio (AOR): 1.95; 95% CI: 1.16 to 3.26]; probable depression (AOR: 2.22; 95% CI: 1.46 to 3.37); probable post-traumatic stress disorder (AOR: 2.03; 95% CI: 1.45 to 2.84); experiencing ≥12 traumatic events (AOR: 2.04; 95% CI: 1.31 to 3.18); suicide ideation (AOR: 1.67; 95% CI: 1.22 to 2.28); living in a female-headed household (AOR: 2.76; 95% CI: 1.70 to 4.49); first sexual partner ≥10 years older (AOR: 1.69; 95% CI: 1.07 to 2.67); sex for exchange (AOR: 5.51; 95% CI: 1.76 to 17.31); having 2 (AOR: 2.54; 95% CI: 1.23 to 5.23) or 3+ (AOR: 4.65; 95% CI: 2.65 to 8.18) sexual partners; inconsistent condom use (AOR: 0.40; 95% CI: 0.29 to 0.57); genital ulcers (AOR: 3.08; 95% CI: 2.16 to 4.38); active syphilis (AOR: 4.33; 95% CI: 1.22 to 15.40); and ill health without medical care (AOR: 2.02; 95% CI: 1.22 to 3.34). Among men, correlates of HIV included no condom at sexual debut (AOR: 1.92; 95% CI: 1.30 to 2.83) and genital ulcers (AOR: 4.40; 95% CI: 1.35 to 14.40). CONCLUSION: Women are disproportionately impacted by HIV, trauma, and depression in this conflict-affected population. Trauma-informed HIV prevention and culturally safe mental health initiatives are urgently required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".