Epidemiological characteristics of hepatitis A before and after inclusion of hepatitis A vaccine in expanded program on immunization in Dalian
Bibliographic record
Abstract
Objective To compare the epidemiological characteristics of hepatitis A before and after the inclusion of hepatitis A vaccine in Expanded Program on Immunization (EPI) in Dalian. Methods The data of hepatitis A cases from 1998 to 2017 in Dalian were collected. Changes in temporal, spartial and populational distributions of hepatitis A were analyzed. Results A total of 34 693 hepatitis A cases were reported in Dalian from 1998 to 2017. The average annual incidence of hepatitis A was 28.60/100 000. The annual incidence rates decreased from 55.97/100 000 before EPI inclusion to 5.42/100 000 after EPI inclusion (P<0.01). Before EPI inclusion, the proportion of hepatitis A in the second quarter was the highest (44.98%) and the incidence in urban area was 81.31/100 000. Of all occupations, the proportion of unemployed was the highest, accounting for 24.31% of all cases. After EPI inclusion, the proportion of hepatitis A in the first quarter was the highest, accounting for 40.97% and the incidence in rutal area was 7.70/100 000. Of all the occupations, the proportion of farmer was the highest, accounting for 37.88% of all cases. Conclusions After the Hepatitis A vaccine was included in the EPI in Dalian, epidemic of hepatitis A was well controlled. Surveillance should be enhanced and integrated control strategy should be formulated for vulnerable population. Key words: Hepatitis A; Epidemiological characteristics; Immunization program
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".