Swift mobilization of infection control, employee health, clinicians, engineering, laboratory and public health averted secondary cases following a large measles exposure at the British Columbia Children’s Hospital, Vancouver, BC, Canada
Bibliographic record
Abstract
A massive collaborative effort ensued, involving numerous hospital departments, to identify/ensure control of potentially infected individuals. Patients: 52 patients were exposed: 16, who were immunocompromised, received prophylactic Immune Globulin, 21 had received 2 MMR doses, 3 had 1 dose, 6 were seropositive and 6 patients’ immunity remained unknown. Staff: 221 staff members were exposed; 103 were immune, 118 had unknown immunity [17 produced immunization record; 22 remained unknown; 79 were tested (71/79 seropositive, 6 susceptible, 2 “equivocal”)]. 21 staff members were furloughed from work, representing 231 worker-days. None of those exposed developed measles. This exposure illustrates the importance of early clinical recognition, rapid laboratory testing, measles risk awareness and strict adherence to airborne isolation protocols. An ongoing education program was created to ensure proper clinical management and infection control measures for all patients with rashes. A tight maintenance program for ventilation monitoring and a database for managers to access staff immunity records were also implemented.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".