Injuries Experienced by Infant Children: A Population-Based Epidemiological Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Injuries to infant children are an important health concern, yet there are few population-based analyses from which to develop prevention initiatives. This study describes the external causes, natures, and disposition from an emergency department of infants with injuries for a geographically distinct population in Eastern Ontario. METHODS: Epidemiologic analysis of emergency-based surveillance data (1994-2000) for infants (<12 months old) from the Kingston sites of the Canadian Hospitals Injury Reporting and Prevention Program. RESULTS: A total of 990 cases of injury to infants were identified, of which 217 (21.9%) required significant medical intervention. Leading causes of injury were falls (605/990; 61.1%), ingestion injuries (65/990; 6.6%), and burns (56/990; 5.7%). Common types of falls experienced were: from furniture (229/605; 37.9%), being dropped (92/605; 15.2%), in car seats (73/605; 12.1%), down stairs (63/605; 10.4%), or in a child walker (42/605; 6.9%). The observed patterns of injury changed according to the ages of the children. Vignettes are used to illustrate recurrent injury patterns (falls, physical vulnerability, burns and ingestions, equipment injuries). CONCLUSION: The results indicate the relative importance of several external causes of injury and how these vary by age group. This population-based information is also useful in establishing rational priorities for prevention, and the targeting of interventions toward responsible authorities.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 it