The Dollar Value of Human Life Losses Associated With COVID-19 in Canada
Bibliographic record
Abstract
Background: The coronavirus disease 2019 (COVID-19) pandemic continues to cause morbidity and premature mortality and ravage the socio-economic sectors in Canada.Objectives: The study aimed to appraise the Total Dollar Value of Human Life Losses (TDVHL) associated with COVID-19 in Canada. Methods: The net output approach was applied in the dollar valuation of the 8810 human life losses associated with COVID-19 in Canada as of July 16, 2020. The economic model wasrerun assuming 3%, 5%, and 10% discount rates with Canada’s life expectancy of 83 years, the world’s average life expectancy of 73 years, the world’s highest average life expectancy of88 years, and a 3% discount rate. Results: The human lives lost to COVID-19 had an estimated value of the international dollar (Int$) 2037021173 and an average of Int$ 231217 per human life lost. Quebec and Ontarioprovinces alone accounted for 94.99% of the TDVHL. Reanalysis of the economic model with discount rates of 5% and 10% resulted in declines in TDVHL of Int$ 192721390 (9%)and Int$ 530132423 (26%), respectively. Substitution of the nation with the word’s average life expectancy shrank the TDVHL by Int$ 1754972473 (86%) while applying the world’shighest life expectancy triggered a growth in the TDVHL of Int$ 498674987 (24%).
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".