Comparing the molecular epidemiology of tuberculosis in the Iniut and other Canadian-born populations of Quebec
Why this work is in the frame
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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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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it