Mpox Perceptions and Vaccine Advocacy among the Healthcare Workers of Solid Organ Transplant Centers: A Multicenter, Cross-Sectional Survey in Saudi Arabia
Bibliographic record
Abstract
BACKGROUND: In response to the global Mpox outbreaks, this survey aimed to assess the knowledge, perceptions, and advocacy of Mpox vaccines among solid organ transplant healthcare workers (HCWs) in Saudi Arabia. METHODS: A cross-sectional survey was conducted among solid organ transplant HCWs in Saudi Arabia from 15 August to 5 September 2022. A total of 199 responses were received from participants primarily working in the kidney (54.8%) and liver (14.6%) transplant units. RESULTS: The survey found that most participants were aware of the 2022 Mpox outbreak, but the majority were more concerned about COVID-19 than Mpox. While the majority of participants thought laboratory personnel and HCWs in direct contact with Mpox patients should receive the vaccine, less than 60% believed that all HCWs should be vaccinated. Additionally, over half of the participants lacked knowledge of animal-human transmission of the virus. CONCLUSION: The results highlight the need for increased education on Mpox among transplant HCWs in Saudi Arabia, particularly regarding the virus's transmission dynamics and vaccines. This education is crucial to improve HCWs' understanding of this emerging disease, especially given their vulnerability during the COVID-19 pandemic.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".