The Epidemiology of Hepatitis C in a Canadian Indigenous Population
Bibliographic record
Abstract
BACKGROUND: An estimated 1% to 1.9% of North Americans are infected with the hepatitis C virus (HCV). Although Indigenous peoples are considered to bear the highest burden, there are only limited data regarding the demographic features and epidemiology of hepatitis C in this population. OBJECTIVES: To document the demographic characteristics, rates of newly diagnosed hepatitis C cases and prevalence of HCV infection in a Canadian First Nations population, and to compare the findings with an infected non-First Nations population. METHODS: A research database spanning 1991 to 2002 was developed, linking records from multiple clinical and administrative sources. Over a 12-year period, 671 First Nations and 4347 non-First Nations HCV-positive Canadians were identified in the province of Manitoba. Demographics, residence and time trends were compared between infected First Nations and non-First Nations persons. RESULTS: HCV-infected First Nations individuals were younger (mean [± SD] age 33.0±0.4 years versus 39.7±0.2 years; P<0.0001), more often female (60% versus 40%; P<0.0001) and more often resided in urban centres (73% versus 27%; P<0.001). The rate of newly diagnosed HCV cases was 2.5-fold (91.1 per 100,000 versus 36.6 per 100,000; P<0.000) and prevalence 2.4-fold (801.7 per 100,000 versus 334.8 per 100,000; P<0.000) higher among the First Nations relative to non-First Nations populations. CONCLUSIONS: The results of the present large population-based study indicate that the First Nations population with hepatitis C is characteristically different from infected non-First Nations persons. The results also describe higher rates of newly diagnosed cases and prevalence of HCV infection in the First Nations population. These findings should serve as an important baseline for future primary prevention and therapeutic intervention strategies in this high-risk population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".