Epidemiological characteristics of pulmonary tuberculosis in students in Jiangxi, 2011–2019
Bibliographic record
Abstract
Objective To explore the epidemiological characteristics of pulmonary tuberculosis (TB) in students in Jiangxi, and provide evidence for the development of TB prevention and control measures in schools. Methods The incidence data of pulmonary TB in students in Jiangxi were collected from TB Management Information System and student demographic information were collected from Jiangxi Statistical Yearbook. Results From 2011 to 2019, the average registration rate of pulmonary TB in students in Jiangxi was 12.52/100 000, and the average registration rate of students with pathogenic positive TB was 3.41/100 000. Over the past nine years, the registration rate of pulmonary TB in students showed an upward trend (χ2=20.793, P Conclusion In the future, we should continue to strengthen the detection of TB in students, improve the TB screening for freshmen, make rapid response to sporadic cases, strengthen the etiological diagnosis, focus on high school and university students, pay attention to the epidemic in the first and second quarter of each year and strengthen the health education about TB prevention in students.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".