Bibliographic record
Abstract
The presentation aims at introducing the various challenges faced at global level during the first pandemic of the 21st century. On 25 April 2009, Mexico, under the International Health Regulations (2005) (IHR (2005)), notified the World Health Organization (WHO) about an outbreak of influenza-like illness. The responsible virus was identified a few days later by a WHO Collaborating Centre for Reference and Research on Influenza and a reference laboratory in Canada. This was the first reported event related to Influenza A (H1N1). In less than nine weeks, the pandemic virus spread in the six WHO regions. On 11 June 2009, WHO announced a pandemic phase 6. Because of the threat posed by the re emergence of A(H5N1)virus in 2003 in Asia, most of the influenza experts and modellers were predicting that the next pandemic would start in Asia with similar characteristic as the H5N1 disease currently observed with a high case fatality ratio. One of the lessons learned is that predictions are very difficult when related to influenza viruses due their unpredictable evolution and the complexity of factors leading to pandemic. The pandemic (H1N1) 09 is challenging in many aspects: firstly, the uncertainty about the evolution of the virus makes mid term preparedness and planning difficult. Secondly, the weakness of some surveillance system does not allow an easy monitoring of the disease and its spread. The oseltamivir resistance monitoring has also been difficult in some parts of the world. Thirdly, the modern communications means enable rumours to spread faster than ever. Public health authorities have to include risk communication in their strategy to respond to the outbreak. The nature of this pandemic with moderate severity and very rapid spread imposed to revise national pandemic preparedness plans during the course of the event. The public and the media often misunderstood the rational for the modification. The international community has responded quite well to the pandemic threat. In particular, countries have been especially collaborative regarding the exchange of information and the global access to supplies such as vaccine and antiviral drugs.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.082 | 0.040 |
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".