Excess deaths during the COVID-19 pandemic in Alberta, Canada
Bibliographic record
Abstract
Objectives: To determine if there was excess mortality in Alberta, Canada during the coronavirus disease 2019 (COVID-19) pandemic, to confirm if excess mortality affected all age groups equally, and to determine what proportions of excess deaths were directly related to COVID-19 and non-pharmaceutical drug poisoning. Methods: Weekly all-cause data used to estimate excess mortality were modelled against the pre-pandemic period (January 2015-February 2020). Age-adjusted weekly mortality rates for March 2020 to December 2021 were compared with the preceding 5 years. Results: =5833) that occurred in the 22-month period. The increase in all-cause excess deaths was proportionately higher, and with significantly greater numbers, in younger age groups. Significant increases in monthly drug poisoning deaths occurred from March 2020 to April 2021, with a total of 1819 deaths. Eight hundred and 25 excess drug poisoning deaths, representing 25.4% of total all-cause excess deaths, occurred, mainly among those aged 25-60 years. Overall, 54.9% of all excess deaths were directly related to COVID-19 and 25.4% were related to drug poisoning. Conclusions: There was a significant increase in all-cause mortality during the COVID-19 pandemic. Although older adults are more likely to die of COVID-19, a massive increase in non-COVID-19-related mortality was observed among younger people. These factors should be considered in public policy decisions on epidemic/pandemic management.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".