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Record W4400685934 · doi:10.1128/mbio.03203-23

Avian influenza viruses in wild birds in Canada following incursions of highly pathogenic H5N1 virus from Eurasia in 2021–2022

2024· article· en· W4400685934 on OpenAlexaffabout
Jolene A. Giacinti, Anthony V. Signore, Megan Jones, Laura Bourque, Stéphane Lair, Claire M. Jardine, Brian Stevens, Trent K. Bollinger, Dayna Goldsmith, M. J. Pybus, Iga Stasiak, Richard Davis, Neil Pople, Larissa Nituch, Rodney W. Brook, Davor Ojkić, Ariane Massé, Gabrielle Dimitri-Masson, Glen J. Parsons, Meghan A. Baker, Carmencita Yason, Jane Harms, Naima Jutha, Jon Neely, Yohannes Berhane, Oliver Lung, Shannon K. French, Lawrna Myers, Jennifer F. Provencher, Stephanie Avery‐Gomm, Gregory J. Robertson, Tatsiana Barychka, Kirsty E. B. Gurney, Jordan Wight, Ishraq Rahman, Kathryn E. Hargan, Andrew S. Lang, William A. Montevecchi, Tori V. Burt, Michael G. C. Brown, Cynthia Pekarik, Trevor Thompson, Angela McLaughlin, Megan Willie, Laurie Wilson, Scott A. Flemming, Megan V. Ross, Frank Baldwin, Chris Sharp, Hannah M. Lewis, Matthieu Beaumont, Al Hanson, Robert A. Ronconi, Eric T. Reed, Margaret Campbell, M.I. Saunders, Catherine Soos

Bibliographic record

VenuemBio · 2024
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsUniversity of British ColumbiaMemorial University of NewfoundlandCanadian Science Centre for Human and Animal HealthNova Scotia Department of AgricultureMinistry of Natural Resources and ForestryUniversité de MontréalAgriculture Food and Rural DevelopmentMinistry of EnvironmentGovernment of Newfoundland and LabradorUniversity of CalgaryGovernment of CanadaMinistère de l'Agriculture, des Pêcheries et de l'AlimentationUniversity of GuelphEnvironment and Climate Change CanadaMinistère des Ressources naturelles et des ForêtsMinistère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des ParcsAlberta Environment and Protected AreasGovernment of NunavutGovernment of Northwest TerritoriesUniversity of SaskatchewanCanadian Food Inspection AgencyUniversity of Prince Edward IslandYukon Department of EnvironmentShared Health
Fundersnot available
KeywordsFlywayInfluenza A virus subtype H5N1Highly pathogenicAvian influenza virusBiologyRange (aeronautics)CladeAnasInfluenza A virusGeographyZoologyVirusVirologyEcologyPhylogeneticsGenetics

Abstract

fetched live from OpenAlex

Following the detection of novel highly pathogenic avian influenza virus (HPAIV) H5N1 clade 2.3.4.4b in Newfoundland, Canada, in late 2021, avian influenza virus (AIV) surveillance in wild birds was scaled up across Canada. Herein, we present the results of Canada's Interagency Surveillance Program for Avian Influenza in Wild Birds during the first year (November 2021-November 2022) following the incursions of HPAIV from Eurasia. The key objectives of the surveillance program were to (i) identify the presence, distribution, and spread of HPAIV and other AIVs; (ii) identify wild bird morbidity and mortality associated with HPAIV; (iii) identify the range of wild bird species infected by HPAIV; and (iv) genetically characterize detected AIV. A total of 6,246 sick and dead wild birds were tested, of which 27.4% were HPAIV positive across 12 taxonomic orders and 80 species. Geographically, HPAIV detections occurred in all Canadian provinces and territories, with the highest numbers in the Atlantic and Central Flyways. Temporally, peak detections differed across flyways, though the national peak occurred in April 2022. In an additional 11,295 asymptomatic harvested or live-captured wild birds, 5.2% were HPAIV positive across 3 taxonomic orders and 19 species. Whole-genome sequencing identified HPAIV of Eurasian origin as most prevalent in the Atlantic Flyway, along with multiple reassortants of mixed Eurasian and North American origins distributed across Canada, with moderate structuring at the flyway scale. Wild birds were victims and reservoirs of HPAIV H5N1 2.3.4.4b, underscoring the importance of surveillance encompassing samples from sick and dead, as well as live and harvested birds, to provide insights into the dynamics and potential impacts of the HPAIV H5N1 outbreak. This dramatic shift in the presence and distribution of HPAIV in wild birds in Canada highlights a need for sustained investment in wild bird surveillance and collaboration across interagency partners. IMPORTANCE: We present the results of Canada's Interagency Surveillance Program for Avian Influenza in Wild Birds in the year following the first detection of highly pathogenic avian influenza virus (HPAIV) H5N1 on the continent. The surveillance program tested over 17,000 wild birds, both sick and apparently healthy, which revealed spatiotemporal and taxonomic patterns in HPAIV prevalence and mortality across Canada. The significant shift in the presence and distribution of HPAIV in Canada's wild birds underscores the need for sustained investment in wild bird surveillance and collaboration across One Health partners.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.343
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations57
Published2024
Admission routes2
Has abstractyes

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