Highly pathogenic avian influenza management policy in domestic poultry: from reacting to preventing
Bibliographic record
Abstract
The emergence of clade 2.3.4.4b H5N1 highly pathogenic avian influenza (HPAI) viruses in 2021 has led to unprecedented epidemics in poultry, changing epidemiological patterns of year-round infections in resident wild avifauna and more frequent spill-over events to mammals. Given this situation, it is important that we recognise that traditional HPAI management strategies are no longer sufficient, and policy changes are required. Poultry vaccination has emerged as a crucial intervention in the current control of HPAI, as evidenced by France's nationwide campaign targeting domestic ducks. However, due to the logistical challenges and potential trade implications of vaccination, broader structural reforms appear also necessary. These include a shift from farm-level to territorial-level biosecurity approaches, putting into practice the concept of 'regional biosecurity'. Given the role duck farm density has played in successive HPAI epidemics in France, there is a need to think about the spatial distribution of poultry farms as a structural component of regional biosecurity and to consider the reduction of farm concentration as a measure to prevent viral spread. The integration of regional biosecurity and poultry vaccination into prevention strategies should impact the way poultry are produced and traded in the future.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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 teacher head, 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".