Mpox vaccination for men who have sex with men and their differential risk of exposure and infection
Bibliographic record
Abstract
Following the post-COVID-19 reopening of the society with enhanced traveling between countries, people at risk of mpox infection, notably men who have sex with men (MSM) and people living with HIV, are facing increasing threat of virus exposure. Mpox vaccination is an important public health strategy which is provided free in Hong Kong to people at higher risk of infection. Between October 2022 and January 2023, 326 and 184 MSM vaccinees from vaccination sites and HIV specialist clinics in Hong Kong, respectively, were recruited for assessing their infection risks. Apart from the urge to protect one's significant others (68%), 45% were worried about the stigmatizing mpox symptoms if infected. Compared with MSM vaccinees at vaccination site, a lower proportion of MSM vaccinees in HIV care were sexually active in the past 6 months (88% vs 97%), but a higher proportion had recent sexually transmitted infection diagnoses (19% vs 10%) and perceived considerable exposure risk in the following 6 months (40% vs 22%). There were no differences in the perceived effectiveness of mpox vaccination. If optimal supplies of mpox vaccines can be secured, a low threshold approach at vaccination site could enable MSM with different levels of behavioral risks to become protected.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".