Zoonotic Infections in Native Communities of James Bay, Canada
Bibliographic record
Abstract
The Cree communities of James Bay might be at risk of contracting zoonoses from their contacts with wildlife. Evidence of exposure to seven zoonotic infections, namely Trichinella spp., Toxoplasma gondii, Toxocara canis, Echinococcus granulosus, Leptospira spp., Coxiella burnetii, and Francisella tularensis, was sought in sera from 267 residents of Chisasibi (166) and Waskaganish (101). Study participants responded to questionnaires documenting socio-demographic characteristics and hunting and trapping activities. Associations were assessed by univariable and multivariable logistic regression analysis. High seroprevalence rates were documented for Leptospira spp. (23%), Francisella tularensis (18%), and Toxoplasma gondii (9%). Seroprevalence rates of less than 5% were observed for Coxiella burnetii, Echinococcus granulosus, and Toxocara canis. No subject exhibited serological proof of Trichinella spp. exposure in either community. Serological evidence of exposure to Leptospira spp. and T. gondii was greater in Chisasibi than in Waskaganish, while the T. canis seroprevalence rate was higher in Waskaganish than in Chisasibi. Handling of rabbits was associated with seropositivity for Leptospira spp. Statistical trends were also detected between the handling of ducks and exposure to Toxoplasma gondii, and between both handling animals without gloves and springtime hunting activities and Leptospira spp. seropositivity in Chisasibi and Waskaganish, respectively. A review of the medical records revealed few clinical events potentially related to zoonotic exposures. However, public health authorities and health care workers in these communities should be alert to the risk of these zoonoses.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".