The molecular epidemiology of tuberculosis in western Canada.
Bibliographic record
Abstract
OBJECTIVE: To define the molecular epidemiology of TB in western Canada, and in particular the risk factors for clustering. MEASUREMENTS: We prospectively identified all positive cultures from newly diagnosed cases of TB diagnosed between February 1995 and January 1997 and carried out restriction fragment length polymorphism (RFLP) testing on all isolates. RESULTS: Of 956 cases identified, 944 fulfilled the entry criteria. The mean age was 49.65 years (+/- 22.33), and 508 (53.6%) were males. Three hundred and three (32.1%) subjects were clustered; this varied from 20.2% of the foreign born, 48.4% of Canadian non-Aboriginal and 61.1% of all Aboriginal persons. Younger persons (P = 0.0001), males (P = 0.015), those with pulmonary disease (P < 0.001), living in a shelter in the past year (P < 0.001), drug-susceptible disease (P < 0.036), predisposing factors (P < 0.001), prior contact (P < 0.001), and prior skin test (P < 0.002) were more likely to cluster. Among specific risk factors, HIV infection, injection drug use, alcohol excess, and weight loss were all significant. CONCLUSIONS: In this description of the molecular epidemiology of TB in Western Canada, previous results have been confirmed and extended. These results highlight the importance of identifying specific high risk groups, especially in the context of renewed efforts to target persons for treatment of latent TB infection.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".