EVALUATION OF THE TUBERCULOSIS TRANSMISSION OF DRUG-RESISTANT STRAINS IN MAINLAND CHINA
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we propose a mathematical model to evaluate the transmission of Tuberculosis with drug-resistant strains and with drug-sensitive strains. Based on the epidemic data from Chinese Center for Disease Control and Prevention, we first estimate the values of parameters in the model. Then the basic reproduction number of TB infection in the mainland China is calculated to be [Formula: see text] Since the basic reproduction number is greater than [Formula: see text] Tuberculosis spreads as an endemic in mainland China. Through our investigations, the basic reproduction number associated with drug-sensitive strains is less than 1, but the number of individuals infected by drug-resistant strains will still increase quickly, thus the epidemic is not under control. Moreover, increasing the vaccination coverage rate for newborns is not always beneficial for controlling TB prevalence in China. Whether vaccination effect is positive or negative depends on the relapse rate from the recovered state to the infected state. In summary, improving sanitation conditions, introducing efficient measures to detect the disease, and keeping the public informed about how to lower the chance of being infected and the current epidemic situation are essential in slowing down or eliminating Tuberculosis transmission.
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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 | 0.007 | 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 it