Décrire, analyser et comprendre les effets de l’introduction de l’autodépistage du VIH en Afrique de l’Ouest à travers l’exemple du programme ATLAS en Côte d’Ivoire, au Mali et au Sénégal
Bibliographic record
Abstract
Research component of the ATLAS programmeThe ATLAS programme (2019-2021) aims to promote and deploy HIV self-testing (HIVST) in Côte d'Ivoire, Mali and Senegal and to distribute half a million HIVST through various delivery channels, targeting in particular key populations (sex workers, men who have sex with men, drug users), partners of people living with HIV (PLHIV) and patients with sexually transmitted infections. The dispensation of HIVST will be carried out in routine care, through the three countries' national AIDS strategies and in an integrated manner with existing screening policies, through eight delivery channels combining fixed and advanced strategies, primary distribution and secondary distribution. The research component presented here includes a set of observational surveys to describe, analyze and understand the social, health, epidemiological and economic effects of the introduction of HIVST in Côte d'Ivoire, Mali and Senegal to improve testing offer (accessibility, effectiveness and ethics). It is organized into 5 work packages: (i) a qualitative survey on HIVST targeted key populations, based on qualitative individual and group interviews with key implementers, members of key population communities and HIVST users; (ii) an ethnography on the integration of HIVST for screening of PLHIV’s partners in three HIV care clinics and an exploratory sub-survey on HIVST distribution in STI consultations; (iii) an anonymous telephone survey of HIVST users recruited through an invitation on HIVST kits to call a toll-free number; (iv) an economic survey of HIVST incremental costs with cost collections from a sample of HIVST dispensing sites and a time and motion study; (v) an epidemiological modelling (dynamic compartmental model) of the three countries and of the health and economic impacts of different scaling scenarios.
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 | 0.011 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".