COVID-19 and the collapse of global trade: building an effective public health response
Bibliographic record
Abstract
The scale of the COVID-19 pandemic is a consequence of international trade and globalisation, with the virus spreading along established trade and travel routes. However, the pandemic also affects international trade through reductions in both supply and demand. In this Viewpoint we describe the many implications for health and propose ways to mitigate them. Problems include reduced access to medical supplies (in particular, personal protective equipment and tests), budgetary shortfalls as a result of reduced tariffs and taxes, and a general decline in economic activity-leading, in many cases, to recessions, threats to social safety nets, and to increased precariousness of income, employment, and food security. However, in exceptional cases, the pandemic has also brought some transient benefits, including to the environment. Looking ahead, there will be great pressure to further liberalise rules on trade to encourage economic recovery, but it is essential that trade policy be informed by its many consequences for health to ensure that the benefits are maximised and threats are minimised through active identification and mitigation.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".