Population‐Based Surveillance of Invasive Group A Streptococcal Disease in British Columbia: 1996‐1998
Bibliographic record
Abstract
OBJECTIVE: To identify and describe all cases of invasive group A streptococcal (GAS) infection occurring in British Columbia during a two-year period. DESIGN: Active, laboratory-based surveillance with supplemental case description. SETTING: Forty community and regional hospitals and the provincial laboratory participated, encompassing all health regions. POPULATION STUDIED: Entire provincial population from April 1, 1996 to March 31, 1998. MAIN RESULTS: Over the 24-month surveillance period, 182 eligible cases were identified, yielding a mean annual incidence rate of 2.3/100,000. Patients ranged in age from two to 91 years, with a mean of 39.1 years. Soft tissue infections accounted for 89 of 130 cases (68.5%) with a defined clinical syndrome, 20 of which were necrotizing fasciitis. Injection drug use was described in 55 patients, who, as a group, were younger, more likely to have soft tissue infections and less likely to die of infection than nondrug users. Other risk factors for infection included HIV infection (19 patients); skin damage (26 patients, damage independent of injection drug use); chronic illness (27 patients); and immunosuppresion (three patients). Death from GAS infection occurred in 15 of 131 (11.5%) cases with known outcome, yielding an annual case fatality rate of 1.9/million population. Among necrotizing faciitis cases, the mortality rate was 30%. CONCLUSIONS: Invasive GAS infections are rare in British Columbia and tend to involve persons with chronic illness or prior skin trauma, especially injection drug abuse, which accounted for nearly half of the cases.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".