Evidence for Onward Transmission of HIV-1 Non-B Subtype Strains in the United Kingdom
Bibliographic record
Abstract
An increasing proportion of new HIV diagnoses in the United Kingdom and other European countries are attributable to non-B subtype infections, mainly among black Africans with infections heterosexually acquired in sub-Saharan Africa. We examined whether there was evidence for onward transmission of non-B subtypes within an ethnically diverse HIV-1-infected cohort in South London. Three hundred eighty-four HIV-1-infected patients attending Kings College Hospital were subtyped using an in-house enzyme-linked immunoassay and env sequencing. Epidemiologic data were obtained from medical chart review and the patients' physician and were used to establish the most likely source and country of infection. Overall, 344 patients (154 black African, 148 white UK-born, and 42 black Caribbean) had an identifiable subtype. The prevalence of non-B subtypes among the black African, white, and black Caribbean patients was 96.8%, 14.2%, and 31%, respectively. Most non-B subtype infections were identified in black Africans (149 of 183 cases) and were mainly acquired in sub-Saharan Africa, but 22.9% (42 of 183 cases) of all non-B infections were probably acquired in the United Kingdom. Among the 21 white UK-born patients infected with a non-B subtype, 15 probably acquired the infection in the United Kingdom and only 6 of these patients reported a source sexual partner from an HIV endemic area. All 13 black Caribbean patients with a non-B infection most likely acquired their infection in the United Kingdom, most of whom (8 of 13 patients) were probably infected by a partner from an HIV endemic area. Potential acquisition of HIV infection in the United Kingdom was lowest among black African patients with a non-B infection, and most of these infections were probably acquired from a partner originating from an HIV endemic area. This study provides the first evidence for onward transmission of non-B subtypes in the United Kingdom, particularly among the black Caribbean population.
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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 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".