Epidemiology of burn injuries in a Canadian population during the COVID-19 pandemic
Bibliographic record
Abstract
OBJECTIVE: The COVID-19 pandemic affected burn injury patterns in many countries, but literature on this topic in Canada is limited. The objective of this study is to investigate the changes in the epidemiology of burn injuries in a Canadian population during the COVID-19 pandemic. METHODS: Data from the Canadian Institute for Health Information were used to evaluate differences in emergency department visits before and during the COVID-19 pandemic. Logistic regression models estimated the odds of a severe burn occurrence. RESULTS: During the pandemic, there were significant decreases in emergency department visits for burns. Distributions of factors associated with burns showed little to no change. The pandemic period, age, sex, income, month and time of day were significantly associated with severe burns during the study time period. CONCLUSIONS: The study found large reductions in the number of emergency department visits during the pandemic, but no evidence of changes in the epidemiology of burns or patterns in the patient populations. Demographic factors associated with severe burns were identified. These factors should be studied to deepen the understanding of the relationship between burn injuries and patient populations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".