Epidemiological study of bacterial dermatitis in dogs of Wayanad district
Bibliographic record
Abstract
A survey was undertaken to determine the epidemiology of bacterial dermatitis in dogs presented at the Teaching Veterinary Clinical Complex (TVCC), College of Veterinary and Animal sciences Pookode, from April 2017 to June 2018. Dogs of all age groups, breeds and both sexes with clinical signs of dermatitis were included in the study. Sterile swabs were used to collect samples aseptically from the dogs that showed clinical lesions of canine bacterial dermatitis. Samples were taken for culture and isolation of bacteria was done. There was no statistically significant difference among different age groups, however the highest occurrence was observed among dogs between 1-3 years (39.44 %) and out of 71 animals, 39 (54.93 %t) male dogs were positive for bacterial dermatitis, but no statistically significance among different sexes was observed. Among the various breeds studied, the highest occurrence was noticed in Labrador retrievers (23.94 per cent) when compared to other breeds but no statistically significance difference among different breeds was observed. Identification of bacterial isolates was done based on colony character, Gram’s staining, oxidase test, catalase test, oxidative fermentative test and growth in specific media. A total of 71 bacterial isolates were obtained. Bacterial isolates obtained were Staphylococcus species (84.51 %), Streptococci (7.04%), Micrococci (5.63 %), and Pseudomonas species (2.82 %).
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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".