Hepatitis B knowledge and practices among Chinese immigrants to the United States.
Bibliographic record
Abstract
INTRODUCTION: Chinese immigrants to the United States experience high rates of liver cancer. Chronic carriage of hepatitis B virus (HBV) is the most common underlying cause of liver cancer among Chinese Americans. Our objective was to describe Chinese immigrants' hepatitis B knowledge, testing, and vaccination levels. METHODS: A community-based, in-person survey of Chinese men and women was conducted in Seattle during 2005. Our study sample included 395 individuals. RESULTS: Less than one-half (48%) of our study group indicated they had received a hepatitis B blood test, and about one-third (31%) indicated they had been vaccinated against hepatitis B. The proportions of respondents who knew HBV can be spread during childbirth, during sexual intercourse, and by sharing razors were 70%, 54%, and 55%, respectively. Less than one-quarter of the study group knew that HBV cannot be spread by eating food that was prepared by an infected person (23%) and by sharing eating utensils with an infected person (16%). DISCUSSION: Over 50% of our respondents did not recall being tested for HBV. Important knowledge deficits about routes of hepatitis B transmission were identified. Continued efforts should be made to develop and implement hepatitis B educational campaigns for Chinese immigrant communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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".