Undetectable=Untransmittable=Universal Access (U=U=U): transforming a foundational, community-led HIV/AIDS health informational advocacy campaign into a global HIV/AIDS health equity strategy and policy priority
Bibliographic record
Abstract
BACKGROUND: Undetectable=Untransmittable (U=U) first emerged in 2016 as a health information campaign to promote rigorous scientific evidence that people living with HIV (PLHIV) on effective treatment who have reached an undetectable or suppressed viral load cannot pass on the virus sexually. Within 7years, U=U underwent transformation from a global community-led, grassroots movement into a global HIV/AIDS health equity strategy and policy priority. METHODS: For this narrative review, a targeted literature search on 'history'+'Undetectable=Untransmittable' and/or 'U=U' on Google and Google Scholar, in addition to a search of online documents on the Prevention Access Campaign (PAC) website, was conducted. The article utilises an interdisciplinary policy studies approach that recognises the roles of multi-stakeholder, especially that of the community and civil society, to effect policy change. RESULTS: The narrative review first provides a synopsis of the scientific origination of U=U. The second section highlights the progress and leadership on U=U led by the PAC and civil society partners and efforts of the PLHIV and ally communities in advocating for the broad recognition and dissemination of the evidence, which has proven to be a game-changer within the HIV/AIDS response. The third section spotlights the recent developments of U=U within the local, national, and multilateral spheres. CONCLUSION: The article ends with recommendations for community and HIV/AIDS multi-stakeholders on how they can further integrate, implement, and strategically utilise U=U as an essential and complementary HIV/AIDS pillar to the current Global AIDS Strategy 2021-2026 to end inequalities to end AIDS by 2030.
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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 | 0.013 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".