2023 Undetectable = Untransmittable global policy roundtable report: a multistakeholder perspective on Undetectable = Untransmittable research and policy priorities
Bibliographic record
Abstract
Background Launched in 2016 by Prevention Access Campaign, the 'Undetectable=Untransmittable' (U=U) campaign empowers people living with HIV to live full social, sexual and reproductive lives, dismantle stigma, promote increased treatment access, and advocate for updated HIV guidelines. Methods Key priorities for promoting improvements to community-centred, evidence-informed U=U policy and research were the focus of a half-day global roundtable held in 2023 alongside the 12th International AIDS Society Conference in Brisbane, Australia. After a series of presentations, experts in U=U research, policymaking, advocacy and HIV clinical care participated in facilitated discussions, and detailed notes were taken on issues related to advancing U=U policy and research. Results Expert participants shared that knowledge and trust in U=U remains uneven, and is largely concentrated among people living with HIV, particularly those connected to gay and bisexual networks. It was agreed that there is a need to ensure all members of priority populations are explicitly included in U=U policies that promote U=U. Participants also identified a need for policymakers, healthcare professionals, advocates and researchers to work closely with community-based organisations to ensure the U=U message is relevant, useful, and utilised in the HIV response. Adopting language, such as 'zero risk', was identified as crucial when describing undetectable viral load as an effective HIV prevention strategy. Conclusion U=U can have significant benefits for the mental and physical wellbeing of people living with HIV. There is an urgent need to address the structural barriers to HIV care and treatment access to ensure the full benefits of U=U are realised.
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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 | 0.153 | 0.105 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.028 | 0.020 |
| Open science | 0.008 | 0.022 |
| Research integrity | 0.073 | 0.041 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".