Surveillance and analysis of information of public health emergencies in 2008 and 2010 in Tianjin
Bibliographic record
Abstract
[Objective]To analyze the epidemiological features of public health emergencies in 2008 and 2010 in Tianjin,explore the causes of emergencies,and provide the technical support of monitoring and early-warning of public health emergencies.[Methods]Using the retrospective investigation and network information management system of public health emergencies,the data of public health emergencies occurred in 2008 and 2010 in Tianjin were collected and analyzed.[Results]A total of 117 public health emergencies were reported by network information management system of public health emergencies in 2008 and 2010,which included 3 events of grade Ⅲ(2.56%),92 events of grade Ⅳ(78.63%) and 22 ungraded events(18.80%).There were 92(78.63%) infectious disease events,14(11.97%) food poisoning events,5(4.27%) environmental factors events,1(0.85%) occupational poisoning event and 5(4.27%) other events.44.44% of events occurred in primary and middle schools,followed by kindergartens(21.37%).The peak season was the second quarter,which accounted for 38.46% of total events,and number of events in rest three quarters accounted for 19.66%,23.93% and 17.95% respectively.There were 3 884 patients in 117 events,and 13 patients died.47 events were reported in urban area,22 in new coastal region,19 in villages and towns and 29 in rural area.[Conclusion]The public health emergencies in Tianjin are mainly infectious disease and food poisoning,and most of events occurred in schools and kindergartens.
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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 | 0.002 | 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 | 0.000 | 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".