Epidemiology of canine parvovirus infection in and around Pantnagar, Uttarakhand: A retrospective study
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
In India, Canine Parvovirus Infection is an endemic viral disease-causing severe gastroenteritis and significant numbers of deaths in puppies, even in vaccinated populations. A retrospective study was conducted between June, 2021 and June, 2022 in and around Pantnagar, Uttarakhand, in which cases of gastro-enteritis were screened for canine parvovirus infection. A total of 258 cases out of 627 cases presented for gastro-enteritis were found to be positive for canine parvovirus based on Rapid Antigen Tests and Polymerase Chain Reaction with a prevalence rate of 41.15%. Data associated with factors such as age, breed, sex, season, immunisation and relocation stress were recorded. Mongrels were found to be the most affected among various breeds, with a prevalence rate of 51.16%, followed by the exotic breed Labrador retriever (9.68%). Males (63.57%) were more found to be affected more than females (34.43%). As for age, prevalence was higher in the age group of 3-6 months (43.40%), followed by less than 3 months of age (31.40%) respectively. Considering other risk factors such as season, vaccination status and relocation stress, prevalence was seen to be higher in to be higher comparatively in spring (33.33%) and winter (29.07%); also, higher prevalence in non-vaccinated (63.13%) and about 25.19% of the animals which were relocated recently were found to be infected with canine parvovirus.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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