Tuberculosis in Quebec: A Review of Trends
Bibliographic record
Abstract
UNLABELLED: The aim of this research was to conduct a thorough review on the literature of tuberculosis in Canada and the Province of Quebec. To achieve this aim, an exhaustive literature review of tuberculosis in the Province of Quebec was undertaken. Data was collected with the goal of creating an epidemiological and public health evidence base to forecast the spread of tuberculosis. A keyword search strategy was used to find relevant articles from the peer-reviewed literature using the electronic search engine PubMed and a search of other relevant federal and provincial government databases. Twenty-nine peer-reviewed publications and twenty government reports containing information about the incidence or prevalence of tuberculosis in the Province of Quebec were included in the analysis. An analysis of the data revealed that while tuberculosis rates have been decreasing in both Canada and Quebec with an overall incidence below 3 per 100,000 of population in 2007, among immigrants and the Inuit communities in Quebec, the incidence and prevalence of the disease still remains high and reached 18 per 100,000 and 100 per 100,000, respectively in 2007. In general, while tuberculosis does not pose a significant burden to the general population, it does continue to affect certain sub-groups disproportionately, including select immigrants and Inuit communities in Quebec. Efforts to ensure that cost-effective healthcare interventions are delivered in a timely fashion should be pursued to reduce the associated morbidity and mortality of tuberculosis in the Province of Quebec. ACKNOWLEDGMENTS: Funding for this research was provided to Medmetrics Inc., by McGill University, Montreal, Quebec, Génome Québec and the Ministère de Développement Economique, Innovation et Exportation du Gouvernement du Québec. The authors also wish to thank Drs. John White and Marcel Behr, both of McGill University and Dr Suneil Malik of the Infectious Disease Program in the Office of Biotechnology, Genomics and Population Health at the Public Health Agency of Canada for comments and suggestions on earlier drafts of this manuscript.
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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 | 0.095 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.006 |
| 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; both teacher heads agree on what is shown here.
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".