A Report on the Epidemic Characteristics of Pulmonary Tuberculosis in the period of 1998-2003 in Siyang County
Bibliographic record
Abstract
Oojective The purpose of this report was to analyze the epidemic characteristics of pulmonary tuberculosis in Siyang Conunty to offer a scientific basis for controlling the transmission of TB.Methods Statistical analysis was made on the newly registered epidemic data of pulmonary tuberculosis from 1998-2003 in Siyang County and the numbers at different ages were induced according to the ratio of ages in 2000 nationlal population census.Results In the period of 1998 to 2003,there were 2 903 cases of newly registered active TB in Siyang County with an annual average new registration rate of 41.82 per 100 thousnand,indicting a increasing tendency.In the last three years since TB control project was implemented in spet,2001,the annual average smear-positive new registration rate was remarkably higher than that in the previous 3 years.The number of male patients was signifcantly higher than the femle as for annual average new registration rate and smear positive registration rate,and the rate of new registration increased with age.The ratio of composition for newly registered cases displayed a down trend since the first quarter.The highest ratio in active and smear positive TBs esisted in farmers.Conclusion The epidemic situation of TB was turning worse.Since Sept 1 st ,2001 when Jiangsu CIDA-WHO TB control project was first commenced,we had obtained remarkable grades in detecting smear positive patients. It had features in distribution of age,sex,season and occupation,being sporadic in occurrence.It was found that the major factors contributing to the epidemic include expanded scope of activity among young adults,strong resistance of bacillus tuberculosis to dry environments,poor economic condition and sanitation and health care sense for farmers and substandard therapy,etc.The government and social departments should be appealed to put emphasis on and fulfill modern TB control strategies(DOTS) so as to prevent the transission of tuberculosis.
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 | 0.002 | 0.002 |
| 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) | 0.001 | 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".