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Record W4283314540 · doi:10.14745/ccdr.v48i06a02

SARS-CoV-2 wildlife surveillance in Ontario and Québec

2022· article· en· W4283314540 on OpenAlexafffundvenueabout
JE Greenhorn, JD Kotwa, J Bowman, L Bruce, T Buchanan, PA Buck, CM Davy, A Dibernardo, L Flockhart, M Gagnier, A Hou, CM Jardine, S Lair, LR Lindsay, A Massé, PK Muchaal, LA Nituch, A Sotto, B Stevens, L Yip, S Mubareka

Bibliographic record

VenueCanada Communicable Disease Report · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversity of GuelphPublic Health Agency of CanadaCarleton UniversitySunnybrook HospitalUniversity of TorontoMinistère des Forêts, de la Faune et des ParcsCanadian Science Centre for Human and Animal HealthMinistry of Energy, Northern Development and Mines
FundersCanadian Wildlife Health CooperativeMinistry of Agriculture, Food and Rural AffairsOntario Ministry of Agriculture, Food and Rural AffairsPublic Health AgencyPublic Health Agency of Canada
KeywordsWildlifeRabiesMinkBiologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CoronavirusDisease reservoirWildlife diseaseEnvironmental healthVirologyGeographyVeterinary medicineZoologyCoronavirus disease 2019 (COVID-19)DiseaseMedicineEcologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the coronavirus disease 2019 pandemic, is capable of infecting a variety of wildlife species. Wildlife living in close contact with humans are at an increased risk of SARS-CoV-2 exposure and, if infected, have the potential to become a reservoir for the pathogen, making control and management more difficult. The objective of this study is to conduct SARS-CoV-2 surveillance in urban wildlife from Ontario and Québec, increasing our knowledge of the epidemiology of the virus and our chances of detecting spillover from humans into wildlife. Methods: ) were also tested for the presence of neutralizing antibodies. Results: No evidence of SARS-CoV-2 viral ribonucleic acid or neutralizing antibodies was detected in any of the tested samples. Conclusion: Although we were unable to identify positive SARS-CoV-2 cases in wildlife, continued research and surveillance activities are critical to better understand the rapidly changing landscape of susceptible animal species. Collaboration between academic, public and animal health sectors should include experts from relevant fields to build coordinated surveillance and response capacity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.039
GPT teacher head0.303
Teacher spread0.264 · 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

Citations14
Published2022
Admission routes4
Has abstractyes

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Same venueCanada Communicable Disease ReportSame topicSARS-CoV-2 and COVID-19 ResearchFrench-language works237,207