Bibliographic record
Abstract
Objective To investigate the public health impacts associated with 2008 ice disaster in the harder-hit area.Methods A cross-sectional study was conducted to investigate the changes of population health,health services and activities of daily life associated with the ice disaster using standardized questionnaire in Tongren prefecture,Guizhou province at the end of the February,2008.Results Compared to same period in 2007,during the disaster,the total out-patient consultations rose by 29%,especially those owing to acute attack of respiratory disease and mechanical injury.The total ambulance calls rose by 40%,especially those owing to fracture and abnormal condititon of pregnancy,while almost a quarter of these calls couldn't be responded.All the families investigated reported normal activities of daily life were interrupted,such as travel,supply of electric power and tap water.Among the residents,75% answered the telephone survey reporting they had been worried during the disaster,and the proportion of having problem in sleep or appetite were 17% and 13%.Conclusion According to the investigation,there are four problems could be considered as the consequences of the disaster,including increases of acute attack of respiratory illness and other mechanical injury,the change of care-seeking behavior among bone fracture patients,mental pressure caused by long-term social service interruption,outpatient counsultation,and demand of emergency service which could not been satisfied.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".