Multijurisdictional outbreak of COVID-19 associated with a wake/funeral event in a northern Saskatchewan First Nations community
Bibliographic record
Abstract
Background: Sixty-eight laboratory-confirmed cases of the coronavirus disease 2019 (COVID-19) (12 in Alberta [AB], 56 in Saskatchewan [SK]) were linked to a gathering at a hospital in Alberta on June 1-4, 2020, and a wake/funeral in a First Nations community in northern Saskatchewan on June 9-11, 2020. Objective: The objectives were to provide a comprehensive description of the epidemiology of the outbreak and describe the chains of transmission to inform the hypothesis that there were multiple introductions of COVID-19 at the wake/funeral. Methods: Case investigation and contact tracing was conducted by local public health in AB and SK. The Public Health Agency of Canada conducted a centralized case analysis. An epidemic curve and a Gantt chart for period of communicability were created to support or refute whether there had been multiple introductions of COVID-19 at the wake/funeral. Results: Illness onset dates ranged from May 31 to July 1, 2020. Ages ranged from 2 to 80 years (median age=43 years). Five cases were hospitalized; there were no deaths. The available case exposure information supports the hypothesis that there had been multiple introductions of COVID-19 at the wake/funeral. Public health authorities in AB and SK declared the outbreak over on July 20, 2020; based on two incubation periods (i.e. 28 days) following the illness onset of the last primary case. Conclusion: During multijurisdictional outbreaks, data sharing, coordination across health authorities and centralized analysis is essential to understanding the events that lead to the outbreak and possible hypotheses around chains of transmission.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".