Survival of Streptococcus equi subsp. zooepidemicus on environmental samples is affected by material type and incubation temperature
Bibliographic record
Abstract
Abstract Streptococcus equi subsp. zooepidemicus is an opportunistic pathogen associated with disease in a range of domestic and wild animals. Despite its importance, very limited data is available on its survival and persistence on the environment. The goal of this study was to evaluate survival of S. zooepidemicus under ideal culture conditions and farm-like setting, in various surface types. Rubber, plastic, wood, and concrete samples were sterilized and inoculated with 109 CFU/mL of S. zooepidemicus with or without feces, and cultured under ideal conditions (37 °C, 5% CO2) or farm-like settings (20oC on air) for a maximum period of 25 days (n = 3/material/environment/feces-group/time-point). Under ideal conditions without feces, the bacterium survived for up to 17 days on plastic and rubber surfaces, 4 days on wood and less than 1 day on concrete (P < 0.05 between materials). Samples under ideal conditions with feces and farm-like settings without feces were negative by day 1 post-inoculation, regardless of the surface material used. Wood and concrete allowed S. zooepidemicus persistence for up to 3 days under farm-like settings when feces were present. This data suggests that environmental persistence of S. zooepidemicus is affected by surface type and incubation temperature.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".