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Record W4410370590 · doi:10.1111/zph.13225

Comparing Rabies Antibody Titres in Imported Dogs to a Population of Dogs in Ontario, Canada

2025· article· en· W4410370590 on OpenAlexafffundabout
Catherine Bélanger, Maureen Anderson, J. Scott Weese, Kelsey L. Spence, Katie M. Clow

Bibliographic record

VenueZoonoses and Public Health · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsMinistry of Agriculture, Food and Rural AffairsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaOntario Veterinary College, University of Guelph
KeywordsRabiesMedicineVaccinationRabies virusTiterVeterinary medicineRabies vaccineVirologyPopulationAntibodyNeutralizing antibodySerologyAntibody titerImmunologyVirusEnvironmental health

Abstract

fetched live from OpenAlex

INTRODUCTION: Vaccinating dogs against rabies virus is essential for protecting animal and public health. Most dogs imported into Canada must have a valid rabies vaccination certificate but do not require serological testing to confirm response to vaccination. The objective of this study was to determine the proportion of dogs with rabies antibody titres below 0.5 IU/mL in a sample of imported dogs with rabies certificates, compared to rabies antibody titres in nonimported dogs in Ontario, Canada. METHODS: Serum was collected from a convenience sample of dogs imported via rescues to Ontario, within a month of arrival and before revaccination with rabies in Canada. Rabies antibody titres were measured using the rapid fluorescent foci inhibition test (RFFIT) at Kansas State University's Rabies Laboratory. Univariable logistic analysis examined demographic, vaccine and country of origin factors associated with achieving a titre of at least 0.5 IU/mL. Rabies antibody titres from nonimported dogs were obtained from the University of Guelph's Animal Health Laboratory records. Dogs tested between 2013 and 2023, using either the RFFIT or fluorescent antibody virus neutralisation (FAVN) test, were included. RESULTS: From October 2021 to November 2022, serum was collected from 67 dogs arriving mainly from Egypt (n = 46). In total, 48% (32/67) of these dogs had titres below 0.5 IU/mL, and this included 19 dogs that had no measurable titre. No examined factors were significantly associated with the outcome. Of the 65 nonimported dogs, 14% (9/65) had titres below 0.5 IU/mL. CONCLUSIONS: Rabies titres of many imported dogs were below the international standard for transboundary movement. A high proportion of dogs with unmeasurable antibodies suggests some had not been effectively vaccinated. Veterinarians should be aware of this gap and consider revaccinating imported dogs to protect both animal and public health, and to meet legal requirements of their jurisdiction. Rescues and owners should be informed that documentation does not always guarantee imported dogs have adequately responded to vaccination and to seek veterinary advice.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.295
Teacher spread0.268 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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