Prevalence of hemorrhagic gastroenteritis in canine population of Garividi region of Andhra Pradesh
Bibliographic record
Abstract
The present study was taken from March 2023 to February 2024 to determine the prevalence of hemorrhagic gastroenteritis (HGE) in dogs that were presented to Veterinary Clinical Complex, College of Veterinary Science, Garividi with the purpose to determine the prevalence and associated etiologies causing hemorrhagic gastroenteritis in the area. A total of 1292 dogs were presented to the VCC with the history of anorexia, dullness, vomiting, hematemesis, blood tinged/ brownish colored diarrhea and putrid odour feces. The overall prevalence of HGE was 19.2 per cent among the presented cases. The prevalence in young ones (< 6 months) was higher than the adult dogs (above 3 years) with prevalence ranging from 62.1 to 2.4 per cent, respectively. The prevalence was higher in male (75.8%) than female (24.2%) dogs. Mongrel breed of dogs showed high prevalence of 40.72 per cent followed by Spitz, Labrador, German shepherd and lowest in Pug, Husky and Terrier breeds of dogs with 1.21 per cent. HGE due to Canine Parvovirus infection (45.2%) followed by intestinal parasitic infestation (27.8%), combined infection of parvovirus and intestinal parasites (12.5%), other conditions (9.7%) and Isosporiosis (4.8%) were the etiologies that resulted in HGE in dogs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".