Highly pathogenic avian influenza (HPAI H5N1, clade 2.3.4.4b, genotype C2.1) in commercial ring-necked pheasants during the 2022 outbreak in the United States
Bibliographic record
Abstract
Highly pathogenic avian influenza (HPAI) virus H5N1 clade 2.3.4.4b was introduced into North America in 2021. In 2022, clade 2.3.4.4b spilled into domestic poultry in the United States (U.S.), resulting in the largest HPAI outbreak in U.S. history. In December 2023, H5N1 2.3.4.4b was detected on an upland game bird farm in Pennsylvania. History, clinical signs, and gross lesions were suggestive of marble spleen disease. However, HPAI was identified by real-time reverse-transcriptase polymerase chain reaction; gene sequencing confirmed genotype C2.1 with phylodynamic analyses providing evidence of a wild bird introduction. Predictive mathematical modeling estimated the time of virus introduction onto the farm (15 days (95% C.I., 11-23) before the date of confirmed detection) being similar or longer than previously described for domestic poultry. Although bioexclusion measures were unable to prevent the initial exposure due to industry rearing practices, biocontainment procedures appeared to prevent spread. The lessons learned from this case may be important for other animal agriculture commodities, especially those species that are infrequently handled or observed and may have inaccurately calculated mortality levels. This well-characterized outbreak and other experiences with natural infection should be taken as opportunities to better understand the field dynamics of this virus.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".