Distribution Spatiale et Taille des Populations Adolescentes et Jeunes en Situation de Vulnérabilité au VIH au Cameroun
Bibliographic record
Abstract
ABSTRACT Introduction. The highest incidence of HIV in Cameroon is found among adolescents and young people (teenagers). The country, however, devotes significant preventive investments for this group. For an efficient and effective implementation of the fight against HIV in this group, it is essential to study the spatial and demographic distribution of these populations in a context of vulnerability to HIV in Cameroon. Methods. This cross-sectional and descriptive study was conducted in the ten regions of Cameroon. The approach used was that of programmatic mapping developed by the University of Manitoba (Canada). Adolescents and youths at risk of HIV were people aged 10 to 24 years in relation to key populations (KPs) such as: sex workers, men who have sex with men, and drug users; either on (or near) hot spots; or living with a KP outside the hot spots. Results. A total of 3 425 hotspots were identified. The number of vulnerable adolescents was estimated at 201 653 (155 615-247 691). Littoral, Centre, and Western regions had the highest number with 37 442 (29 015-45 828), 32 917 (26 901-38 932) and 24 472 (18 332-30 613) respectively. Conclusion. These results suggest that preventive measures should be developed for adolescents, as well as the conduct of Integrated Biological and Behavioral Surveillance (IBBS) to better understand their vulnerabilities, their needs and the extent of HIV in this group. RESUME Introduction. La plus forte incidence du VIH au Cameroun se retrouve chez les adolescent(e)s et jeunes. Le pays consacre pourtant des investissements de prevention importants pour ce groupe. Pour une mise en œuvre efficace et efficiente de la lutte contre le VIH dans ce groupe, il est indispensable d’etudier la distribution spatiale et demographique de ces populations en contexte de vulnerabilite au VIH au Cameroun. Methodes. Cette etude transversale et descriptive a ete realisee dans les dix regions du Cameroun. L’approche utilisee a ete celle de la cartographie programmatique developpee par l’Universite de Manitoba (Canada). Les adolescent(e)s et jeunes vulnerables au VIH etaient des personnes âgees entre 10 et 24 ans en lien avec les populations cles (PC) telles que : Travailleuses de sexe, Hommes ayant des rapports sexuels avec des hommes, et Usagers de drogues; soit sur (ou proximite) les points chauds (PCd); ou vivant avec une PC en dehors du PCd. Resultats. Au total 3 425 PCds ont ete identifies. Le nombre des adolescent(e)s et jeunes vulnerables etait estime a 201 653 (155 615-247 691). Les regions du Littoral, du Centre et de l’Ouest comptaient le plus grand nombre avec respectivement 37 442 (29 015-45 828), 32 917 (26 901-38 932), et 24 472 (18 332-30 613). Conclusion. Ces resultats suggerent de developper des interventions specifiques de prevention chez les adolescent(e)s et jeunes autour des « points chauds », ainsi que la conduite d’etudes bio-comportementales dans ce groupe, afin de mieux comprendre l’envergure et les determinants de leur vulnerabilite.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".