An international comparison analysis of reserve and supply system for emergency medical supplies between China, the United States, Australia, and Canada
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
Coronavirus disease 19 (COVID-19) has become a pandemic around the world. With the explosive growth of confirmed cases, emergency medical supplies are facing global shortage, which restricts the treatment of seriously ill patients and protection of medical staff. Taking China, the United States, Australia, and Canada as examples, this study compares and analyzes the reserve and supply systems of emergency medical supplies and problems exposed in response to the COVID-19 epidemic. Some common problems were found, such as insufficient types and quantities of emergency medical supplies in reserve, insufficient emergency production capacity, and imperfect command mechanism for emergency supplies deployment and transportation. A sound reserve system of emergency medical supplies is the basis and guarantee for dealing with public health emergencies such as major outbreaks. Based on the comparison of systems and practical experience, countries around the world should further improve the reserve and supply system of emergency medical supplies, and improve the coordination and cooperation mechanism for emergency supplies for international public health emergencies, so as to cope with increasingly severe public health emergencies in the context of globalization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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