Survey of zoonotic parasites and bacteria in faeces of Canada geese ( <i>Branta canadensis</i> ) in North‐Central Oklahoma
Bibliographic record
Abstract
BACKGROUND: As a population of non-migratory Canada geese (Branta canadensis) has been growing in residential and recreational areas, public concerns on potential acquisition of zoonotic pathogens from Canada geese and their faecal deposits have been increasing. OBJECTIVES: The main study objective was to evaluate the prevalence of zoonotic microorganisms, Campylobacter spp., Cryptosporidium spp., Giardia spp. and Salmonella spp. and antimicrobial resistant Escherichia coli in faeces of Canada geese residing in North-Central Oklahoma, United States. METHODS: A total of 204 faecal samples were collected from 11 locations in North-Central Oklahoma, where public recreational areas such as lakes and ponds were located, and Canada geese were commonly inhabited. Faecal samples were examined by a centrifugal flotation to evaluate the prevalence of Cryptosporidium spp. and Giardia spp. INFECTIONS: A total of 180 faecal samples were grouped into 36 pooled samples and cultured using standard culture methods to detect the prevalence of Campylobacter spp. and Salmonella spp. INFECTIONS: The antimicrobial resistance profile was determined on 32 E. coli isolates recovered from the 36 sample pools, using the Kirby Bauer Disk Diffusion method. RESULTS: The targeted zoonotic pathogens were not identified by the faecal examinations performed. Of the 32 E. coli isolates, 17 isolates (53.1%) demonstrated resistance to ≥1 antimicrobial agent. CONCLUSIONS: Targeted zoonotic pathogens were not detected among the examined resident Canada geese in North-Central Oklahoma. The findings of multiple-antimicrobial resistant E. coli infections are potentially a public health concern although the prevalence was low in this study. Further, larger scale surveys are recommended.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".