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Record W4386305037 · doi:10.1080/21645515.2023.2252263

Mpox vaccination for men who have sex with men and their differential risk of exposure and infection

2023· article· en· W4386305037 on OpenAlexaff
Ngai Sze Wong, Bonnie Chun-Kwan Wong, Man‐Po Lee, Owen Tak‐Yin Tsang, Danny King Fai Cheung, Alfred Yao-Wai Sit, Samuel Yeung Shan Wong, Shui Shan Lee

Bibliographic record

VenueHuman Vaccines & Immunotherapeutics · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsVaccinationMen who have sex with menMedicinePublic healthRisk of infectionDemographyEnvironmental healthHuman immunodeficiency virus (HIV)Risk perceptionImmunologyPsychologySyphilis

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.276
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

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