Epidemiological study of pyoderma in dogs of Thrissur district
Bibliographic record
Abstract
Pyoderma, refers to any clinical picture that results in the accumulation of neutrophilic exudates of varying degrees in conjunction with a bacterial infection. A longitudinal study was conducted among 178 dogs brought to the small animal dermatology unit of Teaching Veterinary Clinical Complex, Mannuthy and University Veterinary Hospital, Kokkalai, Thrissur, Kerala to document the age, breed and sex predispositions and to identify any environmental influence or managemental practice that predisposes to pyoderma. The overall prevalence of pyoderma was 7.5 per cent. Statistical analyses using Chi square test revealed that there was significant difference in the proportion of animals affected with pyoderma among different categories of age, breed, housing system, bathing practices, kennel hygiene, access to oral coat conditioners and feed supplements. The distribution of animals affected with pyoderma was statistically significant between different seasons also. The condition was commonest in dogs between one to three years of age (46.07 per cent). The Labrador retrievers were more predisposed to developing pyoderma. More females (53.37 per cent) were infected when compared to males (46.63 per cent). Majority of the cases (52.25 per cent) were housed outdoors in a separate kennel and were bathed (68.54 per cent) regularly and groomed (36.52 per cent) at least once a month. The analyses of the epidemiological profile of dogs affected with pyoderma revealed that apart from the host factors, the environmental and managemental aspects also plays an important role in the occurrence of pyoderma.
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 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 | 0.001 | 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 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".