War and HIV: Sex and gender differences in risk behaviour among young men and women in post-conflict Gulu District, Northern Uganda
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite growing knowledge of the dynamics of HIV infection during conflict, far less is known about the period that follows cessation of hostilities and its implications for population health. This study sought to fill a lacuna in epidemiological evidence by examining HIV infection and related vulnerabilities of young people living in resource-scarce, post-emergency transit camps that are now home to thousands of displaced people following two decades of war in northern Uganda. In 2010, a cross-sectional demographic and behavioural survey was conducted with 384 transit camp residents aged 15-29 years old in Gulu District. Biological specimens were collected for rapid and confirmatory HIV testing. Separate multivariable logistic regression models by sex identified risk factors for HIV infection. HIV prevalence was 15.6% (95% confidence interval [CI]: 10.8%, 21.6%) among females and 9.9% (95% CI: 6.1%, 15.0%) among males. The strongest correlate of HIV infection among men was a non-consensual sexual debut (adjusted odds ratio [AOR] 3.24; 95% CI: 1.37-7.67), and having practiced dry sex (AOR 7.62; 95% CI: 1.56-16.95) was the strongest correlate among women. Conflict-affected men and women experience vulnerability to HIV infection in different ways than may have originally been understood. Post-conflict programme planners must therefore design and implement contextualised, evidence-based responses to HIV that are sensitive to gender and cultural issues.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it