The seroepidemiology of measles in Xi'an, China
Bibliographic record
Abstract
The number of measles cases reported worldwide has increased in recent years, and in 2015, there was a measles outbreak in Xi’an, China. However, the epidemiology of measles and the seroepidemiology of healthy people after 2015 have not been fully understood. We collected fingertip blood samples from healthy people around each suspected measles case in Xi’an in 2016-2018 and tested IgG using ELISA. Eighty measles cases were reported in Xi’an in 2016–2018, with an average annual incidence of 0.29 per 100,000 persons. Children aged ≤ 5 years and adults aged 25-29 accounted for a large proportion of measles cases. More than half of the cases in the 0-year group were under 8 months. A total of 5476 blood samples from healthy people were collected. Apart from 1-4 years and over 40, other age groups’ seroprevalence was 93%. Our findings suggest that the first vaccine shot should be administered at 6 months or earlier, the second at 12 months, and the third at 10 years, and couples prepared for [pregnancy](javascript:showjdsw(’showlj_1’,’lj_1’)) should be vaccinated with another dose. The findings may provide novel insights into measles elimination.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".