Investigation of an outbreak of group A Streptococcus in a Regina retirement residence and personal care home, 2018
Bibliographic record
Abstract
Streptococcus pyogenes (group A Streptococcus) is a common bacterium that causes infections ranging from minor illnesses, like strep throat, to life-threatening invasive disease. The elderly are particularly at risk of invasive infection, with this risk compounded by living in communal settings, including long-term care facilities or personal care homes. Following the identification of five invasive group A streptococcal infections in residents of a Regina retirement residence and personal care home over a period of five months, an outbreak was declared on May 8, 2018. Over the 10 weeks the outbreak lasted, 10 cases were diagnosed, attributable to nine individuals: six residents and three staff. Five of the 10 cases (50%) were invasive, all of which required hospitalization. The predominant emm type was 92 – a type not common in Canada. Interventions, including onsite inspections, weekly surveillance, hand hygiene and environmental cleaning improvements, as well as mass screening for carriage of group A Streptococcus were carried out in collaboration with the personal-care home. Mitigating outbreak risks in private retirement residences and personal care homes requires that facilities establish robust infection control programs, including hand hygiene and effective environmental cleaning, and work collaboratively with Public Health officials to address outbreaks.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".