First Nations hepatitis C virus infections: Six-year retrospective study of on-reserve rates of newly reported infections in northwestern Ontario.
Bibliographic record
Abstract
OBJECTIVE: To document rates of newly reported hepatitis C virus (HCV) cases from 2010 to 2015 in remote First Nations communities. DESIGN: Retrospective analysis of aggregate data of newly reported HCV antibody-positive (Ab+) cases. SETTING: Northwestern Ontario. PARTICIPANTS: A total of 31 First Nations communities (an on-reserve population of 20 901) supported in health care by the Sioux Lookout First Nations Health Authority. MAIN OUTCOME MEASURES: The aggregate characteristic data included year of notification, age range, and sex for a 6-year period (2010 to 2015). RESULTS: There were 267 HCV Ab+ cases in the 6-year study period. The incidence in 2015 was 324.2 per 100 000 population. This is 11 times the rate for all of Ontario. The most common associated risk factor was sharing of intravenous drug use equipment. Women made up 52% of patients with newly reported HCV Ab+ cases. More than 45% of cases were in patients between 20 and 29 years of age. CONCLUSION: This high burden of newly reported HCV Ab+ cases in geographically remote First Nations communities is concerning, and prevention and treatment resources are needed. This burden of disease might pose more urgent health and social challenges than can be generalized from the experience of the rest of Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".