Biosafety Competencies in Developing Countries: The Role of Universities
Bibliographic record
Abstract
With the objective of strengthening biosafety capacities in Honduras, a technical cooperation program has been established with the School of Microbiology, National Autonomous University of Honduras, where most of the country's infectious disease research and teaching is done. To complete a 2-year cooperation cycle, two significant activities took place in May 2010: the first National Biosafety Meeting in which a Knowledge and Perceptions survey was administered to participants; and secondly, standardized biosafety capacity assessments of several laboratories. Following Emory University Onsite Biosafety Training Program guidelines, assessments evaluated four primary biosafety controls: engineering; personal protective equipment (PPE); standard operating procedures (SOPs); and administrative controls. This technical cooperation program has been successful in revitalizing the school's biosafety committee and garnering institutional interest. The survey revealed that 57% of respondents did not feel safe in their work environment and that 31% were aware of laboratory-acquired infections in their workplace. Assessments of 12 laboratories showed an overall biosafety grade of 72% and the following specific grades by control: engineering, 73%; PPE, 81%; SOPs, 68%; and administrative controls, 66%. Research laboratories scored consistently higher than their teaching counterparts. Recommendations stemming from these findings have been integrated into the school's strategic plan. Among other positive changes, the university has allocated a space for a Biosafety Training Center to be launched in the near future. Other efforts towards strengthening biosafety are also underway within the Honduran Ministry of Health. The time is right for Honduras to coordinate efforts leading to the establishment of a nationwide biosafety culture.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".