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Canine parvovirus infection in young German Shepherd dog : A Case Report

2020· article· en· W3014579776 on OpenAlexaboutno aff
Uddab Poudel, Umesh Dahal, Arjun Aryal

Bibliographic record

VenueInternational Journal of Scientific and Research Publications · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsParvovirusCanine parvovirusGerman Shepherd DogGermanVirologyLabrador RetrieverMedicineBiologyGeographyPathologyVirusArchaeology

Abstract

fetched live from OpenAlex

Canine parvovirus infection is serious life threatening infectious viral disease and major cause of death in young puppies. Due to lack of proper vaccination , mismanagement and lack of knowledge about proper vaccination schedule to pet owners are key cause of occurrence of canine parvo viral disease in Nepal. The disease occurs in two form intestinal and cardiac form in which occurrence of intestinal form is higher with hemorrhagic enteritis. The German shepherd dog of 6 months old was presented at Central Referral Veterinary Hospital (CRVH). The dog was suffering from anorexia , vomiting , bloody diarrhea , dehydration and subnormal temperature . The clinical sign and symptoms were similar to parvovirus infection and rectal swab was taken and was confirmed by Rapid Test Kit showing parvo positive. Symptomatic and supportive therapy was done as a line of treatment by using Ringers lactate @ 400ml I/V for 5 days along with Ranitidine @ 0.5mg / kg body weight BID I/M , antibiotic: Ceftiofur @2.2mg /kg body wt. I/M for 5 days , antidiarrheal :Metronidazole @ 20mg/kgb.wt. IV daily for 3days,antiemetic: Perinorm (Metoclopramide) @ 0.2mg/kg b.wt. I/V for 3 days , Vitamin K: @ 0.5 ml I/V single dose , Conciplex (Vitamin B-complex) @ 3ml I/V for 3 days and Transamic acid @ 5mg/ kg b. wt. for 3 days was given. The pet owner was instructed not to give food and water for 3 days and the prognosis of dog was satisfactory.

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)0.002
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.065
GPT teacher head0.425
Teacher spread0.360 · 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 designBench or experimental
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

Citations0
Published2020
Admission routes1
Has abstractyes

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