Comparing the molecular epidemiology of tuberculosis in the Iniut and other Canadian-born populations of Quebec
Bibliographic record
Abstract
Population-based molecular epidemiologic studies of tuberculosis have been widely performed to assess the burden of ongoing TB transmission within a population. By genotyping M. tuberculosis isolates (M.TB), cases with matching DNA "fingerprints" are inferred to be due to ongoing transmission, and those with non-matching or "unique" fingerprints are inferred to represent re-activation disease. Two population-based molecular epidemiologic studies using three genotyping methods (IS6110 RFLP, spoligotyping and MIRU) are presented here. The first study examines all TB cases among the Inuit community if Nunavik, Quebec (1990-2000). Our analysis identified previously unrecognized inter-village transmission and estimated that at least 65% of TB cases were due to ongoing transmission. The second study is a case-control study that examines a pyrazinamide-resistant (PZA-R) M.TB strain present in the Canadian-born population (1990-2000). We observed that 77 PSA-R TB cases shared a common mutation conferring the PZA resistance. In this low-incidence setting, the cases were most likely due to reactivation from a common but old PZA-R M.TB strain in the absence of significant ongoing transmission. In contrast to the Inuit case-study where 76% of cases had matching genotypes across all three modalities, only 19% of PZA-R cases and 13% of Canadian-born controls were clustered by the same analysis. The utility of cluster analysis in the understanding of the transmission patterns of TB in these two different populations are compared and discussed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".