Seven‐Year Surveillance of North American Pediatric Group A Streptococcal Pharyngitis Isolates
Bibliographic record
Abstract
BACKGROUND: Pharyngeal group A streptococcal (GAS) emm type surveillance enhances understanding of the epidemiology of pharyngitis and invasive GAS disease and formulation of multivalent type-specific vaccines. In addition, such surveillance provides pre-GAS vaccine baseline data. We assessed geographic and temporal trends in GAS emm-type distribution among pediatric pharyngeal isolates collected systematically in the United States and Canada from 2000 to 2007. METHODS: We collected approximately 100 acute GAS pharyngitis isolates from each of 13 widely scattered sites (10 in the United States and 3 in Canada) annually for 7 seasons (2000-2007) from 3- to 18-year-old children. We assessed emm type and subtype by DNA sequencing and analyzed temporal and geographic trends. RESULTS: A total of 7040 US and 1434 Canadian GAS isolates were studied. The 6 most prevalent emm types (in descending order) were 1, 12, 28, 4, 3, and 2 in the United States and 12, 1, 28, 4, 3, 2, and 77 in Canada, constituting 70%-71% of isolates in each country; 10 emm types constituted 87%-89% total. Fifty-six emm types were identified in the United States, including 8 new types, and 33 types in Canada. Although a few types predominated nationally, marked variability among individual sites and at individual sites from year to year was observed. US-Canadian differences in type distribution were apparent. Twenty percent of isolates represented emm subtypes that differed slightly from reference types; 110 new subtypes were identified. An experimental 26-valent M protein vaccine covers 85% of pharyngitis isolates. CONCLUSIONS: Although overall US and Canadian emm type distribution was consistent and relatively few types dominated nationally, striking intersite and temporal variations within individual sites in prevalent emm types of GAS occurred. These results have important implications for the development and formulation of type-specific GAS vaccines.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".