Triage and Management of Accidental Laboratory Exposures to Biosafety Level-3 and -4 Agents
Bibliographic record
Abstract
The recent expansion of biocontainment laboratory capacity in the United States has drawn attention to the possibility of occupational exposures to BSL-3 and -4 agents and has prompted a reassessment of medical management procedures and facilities to deal with these contingencies. A workshop hosted by the National Interagency Biodefense Campus was held in October 2007 and was attended by representatives of all existing and planned BSL-4 research facilities in the U.S. and Canada. This report summarizes important points of discussion and recommendations for future coordinated action, including guidelines for the engineering and operational controls appropriate for a hospital care and isolation unit. Recommendations pertained to initial management of exposures (ie, immediate treatment of penetrating injuries, reporting of exposures, initial evaluation, and triage). Isolation and medical care in a referral hospital (including minimum standards for isolation units), staff recruitment and training, and community outreach also were addressed. Workshop participants agreed that any unit designated for the isolation and treatment of laboratory employees accidentally infected with a BSL-3 or -4 pathogen should be designed to maximize the efficacy of patient care while minimizing the risk of transmission of infection. Further, participants concurred that there is no medically based rationale for building care and isolation units to standards approximating a BSL-4 laboratory. Instead, laboratory workers accidentally exposed to pathogens should be cared for in hospital isolation suites staffed by highly trained professionals following strict infection control procedures.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".