Economic burden of drug overdose deaths before and during the COVID-19 pandemic in the USA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aim: To evaluate the impact of the COVID-19 pandemic on the economic burden of drug overdose deaths in the USA. Methods: Overdose death counts from 2019 to 2020 were obtained from the CDC's National Vital Statistics System. Years of potential life lost and value of statistical life were computed. Results: The financial burden of overdose deaths increased by nearly 30%, from US$624.90 billion before the pandemic in 2019 to US$825.31 billion during the pandemic in 2020. Temporal analysis demonstrated that overdose deaths peaked in the second quarter of 2020 and contributed to nearly a third of the total 2020 value of statistical life. Conclusion: The authors' findings suggest that the COVID-19 pandemic has exacerbated the US drug overdose epidemic.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it