Hepatitis a seroprevalence and risk factors among daycare educators
Bibliographic record
Abstract
BACKGROUND: Day-care centres play a role in the epidemiology of hepatitis A virus (HAV). Up-to-date documentation on its seroprevalence and potential risk factors among day-care educators, who may be at risk for significant HAV morbidity, is nevertheless lacking. The availability of a hepatitis A vaccine provides an additional opportunity for prevention in this population. To determine the seroprevalence of previous HAV infection among day-care educators and to identify potential risk factors, we undertook a survey. METHODS: Of 167 randomly selected centres, 81 centres participated. Directors and educators completed questionnaires on risk factors. Sera were collected during on-site visits from October through December 2001. RESULTS: Seroprevalence of previous HAV infection in 492 participating educators was 35.6%. Significant risk factors in multivariate analysis included birth in a high-versus moderate/low-income country (odds ratio [OR] 20.8; 95% confidence interval [CI] 9.4-46.0); self-reported HAV vaccination (OR 6.1, CI 2.9-13.0); travel to endemic areas (OR 2.4, CI 1.3-4.2); and age (5-yr OR 1.5, CI 1.3-1.7). When Canadian-born educators were analyzed separately, an association was found between seropositivity and the number of years worked in daycare centres (5-yr OR 1.3, CI 1.0-1.8). INTERPRETATION: This represents the first study in Canada designed to examine risk factors for previous HAV infection among adult day-care educators. As a group, their risk factors for seropositivity are similar to those in the general population. However, educators born in Canada (a low-endemicity area for hepatitis A) appear to be at additional risk by working in day-care centres. The benefits of HAV screening and routine vaccination of day-care educators need to be examined.
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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 | 0.000 | 0.001 |
| 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".