A global public health convention for the 21st century
Bibliographic record
Abstract
As shown by COVID-19, infectious diseases with a pandemic potential present a grave threat to health and wellbeing. Although the International Health Regulations provide a framework of binding legal obligations for pandemic prevention, preparedness, and response, many countries do not comply with these regulations. There is a need for a renewed framework for global collective action that ensures conformity with international regulations and promotes effective prevention and response to pandemic infectious diseases. This Health Policy identifies the necessary characteristics for a new global public health security convention designed to optimise prevention, preparedness, and response to pandemic infectious diseases. We propose ten recommendations to strengthen global public health governance and promote compliance with global health security regulations. Recommendations for a new global public health security convention include greater authority for a global governing body, an improved ability to respond to pandemics, an objective evaluation system for national core public health capacities, more effective enforcement mechanisms, independent and sustainable funding, representativeness, and investment from multiple sectors, among others. The next steps to achieve these recommendations include assembling an invested alliance, specifying the operational structures of a global public health security system, and overcoming barriers such as insufficient political will, scarcity of resources, and individual national interests.
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.
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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".