MétaCan
Menu
Back to cohort

Seroprevalence of Avian H9N2 Influenza Virus in a Population of Iranian Domestic Dogs

2012· article· en· W2330046560 on OpenAlexvenueno aff
Mohammad Abbaszadeh Hasiri, Saeed Nazıfı, Elham Mohsenifard, Maryam Ansari‐Lari

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2012
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSeroprevalenceSerologyMedicineTiterBreedVeterinary medicinePopulationTransmission (telecommunications)VirusPhysical examinationAntibodyVirologyInternal medicineImmunologyBiologyEnvironmental healthAnimal science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.087
GPT teacher head0.396
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Basic & Applied SciencesSame topicInfluenza Virus Research StudiesFrench-language works237,207