A Cross-Sectional Analysis of Acute Hepatitis B Virus Reported to the Vancouver Coastal Health Authority from 2000 to 2003
Bibliographic record
Abstract
BACKGROUND: Acute hepatitis B virus (HBV) transmission remains a significant public health problem despite effective vaccination and prophylaxis strategies. Vancouver, British Columbia, has a large ethnic community from endemic areas, which may further impact on the epidemiology of acute HBV. A cross-sectional study of factors associated with acute HBV cases reported to the Vancouver Coastal Health Authority (Vancouver, British Columbia) from 2000 to 2003 is reported. METHODS: New seropositive cases of hepatitis B surface antigen were reported to the Vancouver Coastal Health Authority Office of Communicable Disease Control. Patients meeting both clinical and laboratory criteria for acute HBV were interviewed by telephone for demographic and risk behaviour information. Risk behaviours within the last six months before disease onset were ranked on efficiency of transmission in a mutually exclusive risk category. RESULTS: There were 78 patients of identified acute HBV in Vancouver from 2000 to 2003. The overall incidence rate was 3.38 per 100,000 person years. Outside of Canada, Asia was the most common place of birth (29.5%). The three most frequently identified risk factors were men who have sex with men (21.9%), heterosexual activity with two or more partners (14.0%) and intravenous drug use (14.0%). Sexual contact with an HBV carrier was identified in 9.4% of patients. CONCLUSIONS: Sexual transmission is a major mode in the spread of HBV in Vancouver. Existing public education, surveillance and vaccination strategies for HBV need to be strengthened to address those engaging in risky behaviours.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".