Epidemiology of <i>Campylobacter, Salmonella</i> and antimicrobial resistant <i>Escherichia coli</i> in free‐living Canada geese (<i>Branta canadensis</i>) from three sources in southern Ontario
Bibliographic record
Abstract
Antimicrobial resistant bacteria and zoonotic pathogens have previously been isolated from Canada geese. We examined the prevalence of three enteric bacteria (i.e. Campylobacter, Salmonella, Escherichia coli) among Canada geese from three sampling sources in southern Ontario from 2013 through 2015. Samples were obtained by convenience from hunting groups, diagnostic birds submitted for post-mortem, and fresh faeces from live birds in parks. Escherichia coli isolates were isolated and tested for susceptibility to 15 antimicrobials using the Canadian Integrated Program for Antimicrobial Resistance Surveillance test panel. The prevalences of Salmonella, Campylobacter and E. coli were 0%, 11.2% and 72.6%, respectively. Among E. coli isolates, 7.9% were resistant to ≥1 class of antimicrobials and 5.6% were resistant to ≥2 classes of antimicrobials, with some including resistance to antimicrobials of highest importance in human medicine. A significant association between season and E. coli resistance among samples from live birds was noted; summer samples had no resistant E. coli isolates, whereas spring samples demonstrated the highest prevalence of E. coli resistant to ≥1 class of antimicrobials (20.0%) among all sources. In addition, Campylobacter coli were only isolated from the spring faecal samples. Flock-level clustering was an important statistical consideration, as flock was a significant random effect in all but two of our models. Detection of Campylobacter and antimicrobial resistant E. coli from Canada geese suggests that these birds may play a role in disseminating these organisms within the environment.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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 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".