Occupational exposure and human carriage of Streptococcus equi subsp. zooepidemicus resulting in multiple livestock outbreaks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background Streptococcus equi susbsp. Zooepidemicus is a cause of septcaemia and an occupational hazard. It was previously thought to only infect humans, and no evidence is available that humans can become long-term carriers of this pathogen. Methods Over 3 years two different, both naïve, independent swine farms experienced outbreaks of S. zooepidemicus. Site A was depopulated three times, and had three outbreaks. Site B only had one outbreak. Isolates were genetically profiled through whole genome sequencing. Potential carriers and environmental load were tested by a strain-specific real time PCR. Findings Environmental samples and non-human carriers tested negative throughout outbreaks. Isolates recovered from pigs in all outbreaks from site A and site B had >99.9 % average nucleotide identity. Phylogenetic analyses suggested that all isolates are related. Patient 1, who transited between site A and B immediately before site B experienced their first swine case, was present in site A after removal off all pigs and before each outbreak. They also shed S. zooepidemicus on their mask and were positive by real time PCR from nasopharyngeal swabs. Interpretation A human carrier of S. zooepidemicus was likely colonized during the first outbreak in pigs on site A. They shed the agent which resulted in multiple outbreaks in Site A, and introduction of the pathogen to Site B. This is the first recorded case of amphixenosis due to S. zooepidemicus , evidencing that humans can become colonized and spread the agent to animals. Funding Natural Sciences and Engineering Research Council, Canada. Saskatchewan Agriculture Ministry, Canada. Results Driven Agriculture Research, Canada.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it