Bioaérosols provenant de la respiration buccale : mode de transmission méconnu de la COVID-19?
Bibliographic record
Abstract
Le monde entier a été touché par la pandémie de maladie à coronavirus 2019 (COVID-19), et de nombreux chercheurs se lancent dans une course pour comprendre l’évolution de la maladie et entreprendre des analyses de risque afin de formuler des stratégies de traitement efficaces. Le coronavirus du syndrome respiratoire aigu sévère 2 (SRAS-CoV-2) est très transmissible par la toux et les éternuements, ainsi que par la respiration et en parlant, ce qui peut expliquer la transmission virale à partir de porteurs asymptomatiques. Les bioaérosols produits pendant la respiration buccale, un processus expiratoire chez les personnes qui respirent habituellement par la bouche, doivent être considérés, en plus des bioparticules nasales, comme un mode de transmission potentiel de la COVID-19. Les professionnels de la santé buccodentaire craignent, à juste titre, le risque d’exposition dû à la proximité du contact direct et au mode de transmission. L’objectif de ce commentaire est de résumer les recherches menées dans ce domaine et de proposer des stratégies pour limiter la propagation de la COVID-19, notamment dans les cabinets dentaires.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".