Prevalence and determinants of intercourse without condoms among migrants and refugees in Morocco, 2021: a cross-sectional study
Bibliographic record
Abstract
With the world's migratory flow, the risk of infection by the human immunodeficiency virus (HIV) among migrants is increasing. The prevalence of intercourse without condoms with a casual or commercial sex partner, a high-risk sexual behavior for HIV infection, is unknown among migrants. The purpose of this study was to determine the prevalence of intercourse without condoms among migrants and the risk factors associated with not using condoms. In Oujda, we conducted a cross-sectional survey of 416 sexually active migrants. We used a multistage sampling method. Face-to-face interviews were conducted with participants to collect socio-demographic information, disease perception, behavioral habits, sexual behavioral habits, and para-clinical parameters. A multivariate logistical regression analysis identified the risk factors associated with high-risk HIV sexual behaviors. The prevalence of intercourse without condoms with a casual or commercial sex partner was 72.8%, with a median age of 25.0 years, and 212 (69.9%) were males. The prevalence of HIV was 0.2%. Being homeless, having difficulty obtaining condoms, and only having a basic education were all risk factors for these sexual behaviors. Migrants with precarious living conditions are at increased risk of having intercourse without condoms. This group must be prioritized by strengthening public health programs targeting the health of migrants as well as the intervention of thematic non-governmental organizations. Vigilant monitoring of the HIV epidemic, with a focus on vulnerable populations, should be a high priority in Morocco.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".