An unwanted visitor. Aggressive infection control strategies are needed to shorten the hospital visit of the easily spread norovirus.
Bibliographic record
Abstract
Norovirus is the name for a group of Norwalk-like viruses that cause acute gastroenteritis of rapid onset. A recent outbreak at a tertiary care facility in Alberta provided an opportunityfor staff and management to review their outbreak protocol and improve their infection prevention and control procedures. The outbreak caused illness in 32 of 73 exposed patients as well as 42 staff members. None of the infected patients or staff developed complications. The source of norovirus contamination was probably associated with a symptomatic food services staff member serving food cafeteria style in a satellite patient dining room. Food service procedures and serving techniques were reviewed; although no breaks in technique were identified, correct food handling procedures were reviewed with staff. Subsequent patient and staff cases were probably related to the cross contamination of environmental surfaces and patient care equipment. The director of nursing and the infection control practitioner led the investigation and management of the outbreak. An Outbreak Management Committee was also formed to reinforce routine infection prevention practices and implement infection control strategies. Communication strategies for staff, patients and visitors were quickly devised and implemented. Gaps in the outbreak protocol were identified and resolved promptly Four permanent changes were made: the use of alcohol hand rinse in designated locations; the development of a comprehensive e-mail to facilitate site-wide communication; the development of teamwork checklists and accountabilities; and the establishment of criteria for use in outbreak situations to proactively determine essential and non-essential therapies and treatments.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.069 | 0.018 |
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".