Analysis of Nonfatal Dog Bites in Children
Bibliographic record
Abstract
BACKGROUND: Dog bites are a significant public health problem among children. The purpose of this study was to examine the hospital incidence, hospital charges, and characteristics of dog bite injuries among children by age group and hospitalization status who were treated at our health care system to guide prevention programs and policies. METHODS: An electronic hospital database identified all patients younger than 18 years who were treated for dog bites from 1999 to 2006. Demographics, injury information, hospital admission status, length of stay, hospital charges, and payer source were collected. A further review of the narrative part of the inpatient electronic database was examined to identify owner of the dog, type of dog, and circumstances surrounding the incident. RESULTS: During 8 years, 1,347 children younger than 18 years were treated for dog bites. The majority were treated and released from the emergency department (91%). Of the 66 children (4.9%) requiring inpatient admission, the median length of stay was 2 days. Victims were frequently male (56.9%) and <8 years (55.2%). Children younger than 5 years represented 34% of all dog bite victims, but 50% of all children requiring hospitalization. Thirty-seven percent of all children admitted to the hospital were bitten by a family dog. The cost of direct medical care during the study was $2.15 million. CONCLUSION: Dog bite visits comprised 1.5% of all pediatric injuries treated in our hospital system during the study period. The majority (91%) of all dog bite visits were treated and released from the emergency department. Injuries to the head/neck region increased the odds of requiring 23 hour observation (OR, 1.95) and age less than 5 years increased the odds of being admitted as an inpatient (OR, 3.3).
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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 | 0.001 | 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".