Characterization of<i>Neisseria meningitidis</i>strains isolated from invasive meningococcal disease cases in Canada in 2001
Bibliographic record
Abstract
With the recent introduction of polysaccharide-protein conjugated vaccines for the control of serogroup C meningococcal disease and the emergence of different variants of serogroup C meningococci, it is likely the epidemiology of meningococcal disease in many countries may be affected. We have therefore analysed and reported the characteristics of Neisseria meningitidis strains collected in 2001 from the Canadian surveillance program on invasive meningococcal disease. Only strains collected from normally sterile clinical sites of patients were studied. Of the 289 isolates obtained from individual patients, 173 (59.9%) were serogroup C, 76 (26.3%) were serogroup B, 30 (10.4%) were serogroup Y, and 10 (3.5%) were serogroup W135. Ninety-six percent of the serogroup C isolates belonged to the ET-15 clone, with an additional 2.3% belonging to other electrophoretic types within the ET-37 clonal complex. Different antigenic variants of the endemic serogroup C ET-15 clone were responsible for localized outbreaks in different parts of the country. One novel variant with the antigenic composition of C:2a:P1.1,7 was reported in two provinces, Quebec and Ontario. Eighteen percent of the meningococci isolated from patients in Ontario belonged to serogroup Y, compared with only 8% in the rest of Canada. The current data highlight the importance of strain characterization by serogroup, serotype, and serosubtype antigens in providing useful information for the surveillance of meningococcal disease in Canada.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".