Seroprevalence of Avian H9N2 Influenza Virus in a Population of Iranian Domestic Dogs
Bibliographic record
Abstract
The prevalence of H9N2 influenza virus in dogs was first time observed in Fars province of Iran. A total of 182 dogs were selected from the clinical cases at the Small Animal Clinic of Veterinary Medicine School, Shiraz University. After obtaining history, physical examination was performed and blood samples were obtained for serological examination (Eliza and HI assay) for the detection of H9N2-specific antibodies. Associated factors (age, breed, diet, place, presence of other dogs, general symptoms, respiratory and gastrointestinal signs) were also evaluated. The positive results showed that 81.7 % of ELISA positive cases had titer ? 32 for H9N2 influenza in HI test. Although positive result were found more in dogs with general or respiratory signs, no significant differences were observed in the evaluated factors and seropositivity. This research showed high seroprevalence of Ab against H9N2 in dogs and made this hypothesis that H9N2 may be important in dogs in virus persistence. Additional research is needed for detection of epidemiologic role of dogs in transmission and pathogenesis of H9N2 in dogs and humans.
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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 | 0.001 | 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) | 0.001 | 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".