Burden and trend analysis of injury mortality in China among children aged 0–14 years from 2004 to 2011
Bibliographic record
Abstract
OBJECTIVE: To track changes of the burden and trends of childhood injury mortality among children aged 0-14 years in China from 2004 to 2011. DESIGN: National representative data from the Chinese Disease Surveillance Points system and Chinese Maternal and Child Mortality Surveillance system from 2004 to 2011 were used. Rates and 95% CIs of aged-standardised mortality, as well as the proportions of injury death, were estimated. SETTING: Urban and rural China. PARTICIPANTS: Children aged 0-14 years from 2004 to 2011. RESULTS: The proportion of injury among all deaths in children increased from 18.69% in 2004 to 21.26% in 2011. A 'V' shape change was found in the age-standardised injury mortality rate during the study period among the children aged 0-14 years, with the age-standardised injury mortality rate decreasing from 29.71 per 100,000 per year in 2004 to 24.12 in 2007, and then increasing to 28.12 in 2011. A similar change was observed in the rural area. But the age-standardised mortality rate decreased consistently in the urban area. The rate was higher among boys than among girls. Drowning, road traffic accidents and falls were consistently the top three causes of death among children. CONCLUSIONS: Childhood injury is an increasingly serious public health problem in China. The increasing trend of childhood injury mortality is driven by the rural areas rather than urban areas. More effective strategies and measures for injury prevention and control are needed for rural areas, boys, drowning, road traffic accidents and falls.
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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) | 0.001 | 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 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".