The 2011 Pandemic Influenza Preparedness Framework: Global Health Secured or a Missed Opportunity?
Bibliographic record
Abstract
In early 2007 the Indonesian government announced that it would cease sharing H5N1 influenza virus samples with the World Health Organization's Global Influenza Surveillance Network. At the heart of the government's complaint was the fact that samples were being passed by the WHO to pharmaceutical companies which developed, and patented, influenza vaccines that the Indonesian authorities could not purchase. The decision gained widespread support among advocates of greater equity of access to medicines, and in response the WHO established an intergovernmental process to agree a framework for influenza virus sharing. The process officially concluded in April 2011 and a new Pandemic Influenza Preparedness Framework (PIPF) was agreed at the 64th World Health Assembly in May 2011. This article investigates the events that prompted the re-examination of a technical cooperation system that has provided effective global health security on influenza for 60 years, and evaluates the framework that has now been agreed. Drawing the distinction between functional and moral-political benefits, the article argues that PIPF more accurately represents a diplomatic stand-off – one that has now been effectively sidelined with the passage of the agreement – rather than genuine reform. In fact, the PIPF papers over fundamental disagreements regarding authority in global health governance, the relationship between the WHO and governments, and the role of private industry. The article concludes by examining an alternative mechanism that would arguably better address the inherent tensions between national and collective interests, and accomplish the functional and moral-political benefits that the negotiations set out to achieve.
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 | 0.031 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.028 |
| Scholarly communication | 0.019 | 0.023 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.016 | 0.023 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".