Linking Provincial and Prospective Cohort Study Data to Estimate the Incidence and Healthcare Burden of Viral Gastroenteritis
Bibliographic record
Abstract
IntroductionAcute gastroenteritis (AGE) is a major cause of morbidity in children. While viruses are known to cause the largest proportion of illnesses, slow adoption of new technology and recommendations against routine testing have blunted our ability to estimate the impact of viral AGE on the health system. Objectives and ApproachOur objective was to quantify the incidence of medically-attended norovirus and other viral AGE etiologic agents as a baseline for future norovirus vaccination programs. AGE cases were identified through the Alberta Provincial Pediatric EnTeric Infection TEam (APPETITE) study, December 2014-December 2017, which tested participants for five viruses: rotavirus, norovirus, adenovirus, astrovirus, and sapovirus. Study data was linked to provincial health registry data to identify visits associated with the AGE episode. Comparable visits for children throughout the province were identified, and a comprehensive set of potential confounders was evaluated and used to standardize APPETITE rates to the Alberta population. ResultsAPPETITE received and tested specimens from 2,358 children with AGE presenting to the emergency department (ED) for care and 513 children with AGE whose parent or guardian called the provincial health advice line Health Link (HL). Norovirus was the most commonly detected pathogen, associated with 579 (24%) ED cases and 177 (19%) HL cases. After norovirus, the most common viruses were, in descending order: adenovirus (441 ED, 97 HL), rotavirus (408 ED, 88 HL), sapovirus (211 ED, 68 HL), and astrovirus (75 ED, 21 HL). Results for the incidence of viral AGE by etiologic agent, with the associated number of hospitalizations, ED visits, and primary care visits, will be available by the date of the IPDLN conference. Conclusion/ImplicationsBy linking data from APPETITE with the visit data available because of Alberta’s single-payer system, we are able to provide population-based estimates of disease incidence for viral AGE, as well as the burden on the health care system in terms of the number of visits associated with these viral illnesses.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".