Croup Hospitalizations in Ontario: A 14-Year Time-Series Analysis
Bibliographic record
Abstract
OBJECTIVE: Croup is the most common form of airway obstruction in children. Known to be primarily viral, the seasonality of croup has been examined largely through its association with the human parainfluenza viruses. This study examined the seasonal pattern of croup hospitalizations in relation to age and gender for the province of Ontario during a 14-year period. METHODS: A retrospective, population-based study design was used to examine seasonal and temporal patterns of croup hospitalizations from April 1, 1988, to March 31, 2002. All residents of Ontario who were aged 0 to 4 years and eligible for universal health coverage during the study period were included for analysis. Time-series analyses then were conducted on monthly aggregations of hospitalizations. RESULTS: This study found strong evidence of croup hospitalization seasonality, with a biennial midautumn peak and annual summer trough, evident throughout the 14-year study period (Fisher's kappa = 51.11; Bartlett Kolmogorov Smirnov = 0.552). The pattern was observed in all children aged 0 to 4, although boys were hospitalized 2 times more often than girls of the same age. Rates of croup hospitalization were lower for children aged 1 to 4 years than for children aged 0 to <1. A marked decrease in croup hospitalizations was observed after the winter of 1993/1994 and continued to decrease in a step-wise manner for the remainder of the study period. CONCLUSIONS: This study delineates a clear biennial pattern of seasonal croup hospitalizations, varying by age and gender, with a large decrease in hospitalizations after the winter of 1993/1994. It is expected that these findings will have important implications for the treatment and management of childhood croup.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".