Epidemic of Group A<i>Streptococcus</i>M/<i>emm</i>59 Causing Invasive Disease in Canada
Bibliographic record
Abstract
BACKGROUND: The incidence of invasive group A Streptococcus (GAS) disease can vary over time and geographic region, possibly reflecting the population's susceptibility to particular strains but also variation in the predominant M/emm types. Canadian surveillance documented an epidemic of an uncommon M/emm59 type from 2006 to 2009. METHODS: Invasive GAS isolates are submitted by Public Health Laboratories in Canada to the National Centre for Streptococcus for M/emm typing. Patient age, sex, geographic location, and the anatomical source of isolate are provided with the isolate. When it was recognized that M/emm59 strains were increasing in prevalence, clinical information was collected on M/emm59 cases captured in Alberta and compared with cases of other M/emm types occurring in this province. RESULTS: From January 2006 through December 2009, 539 (13.0%) of 4150 invasive GAS cases were identified as M/emm59: 164 from British Columbia, 146 from Alberta, 62 from Saskatchewan, 82 from Manitoba, 68 from Ontario, 14 from Quebec, 1 from New Brunswick, 1 from Newfoundland, 1 from Yukon, and 1 from Nunavut. The predominant clinical presentation was bacteremia (45.0%) followed by cellulitis (41.4%). Compared with concurrent cases of invasive GAS disease caused by all other M/emm types, identified risk factors for M/emm59 disease were alcohol abuse (odds ratio [OR], 2.3; 95% confidence interval [CI], 1.4-3.8), homelessness (OR, 2.0; 95% CI, 1.2-3.4), hepatitis C virus infection (OR, 2.0; 95% CI, 1.1-3.5), and illicit drug use (OR, 1.7; 95% CI, 1.0-3.0). CONCLUSIONS: Western Canada has witnessed the rapid emergence of a rare GAS strain causing invasive disease predominately in a select population of disadvantaged persons.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".