Seroprevalence of hepatitis B and C virus infections: Results from the 2007 to 2009 and 2009 to 2011 Canadian Health Measures Survey.
Bibliographic record
Abstract
BACKGROUND: Chronic hepatitis B (HBV) and C (HCV) virus infections can lead to liver failure, liver cancer, and death. In Canada, prevalence studies of HBV and HCV have been limited to regional and special populations. DATA AND METHODS: Data are from cycles 1 (2007 to 2009) and 2 (2009 to 2011) of the Canadian Health Measures. Socio-demographic, health and lifestyle information was obtained via a household questionnaire; blood samples collected at mobile examination centres were used to identify present and resolved HBV infections, vaccine-induced HBV immunity, and HCV infections. RESULTS: The seroprevalence of present HBV infection among the population aged 14 to 79 was 0.4%, representing an estimated 111,800 individuals. Another 4.2% had evidence of a previous HBV infection. Nearly 30% had vaccine-induced HBV immunity. The seroprevalence of HCV infection was 0.5%, representing an estimated 138,600. More than half of people with laboratory-confirmed HBV and 70% with laboratory-confirmed HCV were unaware of their infections. INTERPRETATION: This is the first Canadian study to report laboratory-confirmed seroprevalence of HBV and HCV infections based on a nationally representative household sample. Substantial percentages of younger Canadians have vaccine-induced HBV immunity.
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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 | 0.003 |
| 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 | 0.000 |
| 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".