MétaCan
Menu
← Back to cohort

Features of clinical and pathomorphological picture in spontaneous infection of a domestic cat (lat. Félis cátus) with SARS-CoV-2 coronavirus

2021· article· en· W3186922155 on OpenAlexfundno aff
I.А. Subotsina, I.N. Gromov, I.I. Kupryianav

Bibliographic record

VenueNaukovij vìsnik veterinarnoï medicini · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersQueen's UniversityMcGill University
KeywordsMinkCATSVeterinary medicineEpidemiologyMedicineAutopsyConcomitantCoronavirusVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)PathologyPhysiologyBiologyInternal medicineInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

Today, cases of infection of various animal species with the new SARS-CoV-2 coronavirus have become increasingly common. This virus has been isolated from numerous representatives of the feline family, European mink, ferret, raccoon dog, domestic dog, a number of primates and a number of other animals. In most susceptible animals, infection with this virus is manifested by certain clinical symptoms, the intensity of which depends on the type and age of the animals, on the presence of concomitant diseases. The pathological process can end in death with the development of characteristic pathoanatomical and histological changes. According to the results of preliminary studies conducted in the Republic of Belarus, the circulation of SARS-CoV-2 was detected in domestic cats. All the animals had a history of contact with COVID-19-infected owners. The aim of this work was to determine the features of clinical and pathoanatomical manifestations, histological changes in domestic cats infected with SARS-CoV-2. The studies were conducted among various sex and age groups of domestic cats. In total, we conducted a study of 300 flushes from various sexes and ages and pedigreed, autopsy of 10 corpses. The work was carried out in the Vitebsk State Academy of Veterinary Medicine, the Vitebsk Regional Veterinary Laboratory, the RSPC "Epidemiology and Microbiology" in Minsk, in the Belarusian State Veterinary Center. The circulation of SARS-CoV-2 in animals was determined by polymerase chain reaction (RT - PCR). When dissecting the corpses of animals, the nature and severity of pathomorphological changes were taken into account, a pathoanatomical diagnosis was made, and macrophotography was performed in natural light. The main clinical symptoms of the disease in adult animals are depression, refusal to feed, cough, shortness of breath; in young animals, rhinitis, conjunctivitis, diarrhea are often observed. When dissecting dead animals, macro-changes and micro-changes in organs and tissues are noted, indicating the development of pathological processes, both in the acute course of the disease and in the chronic one. Thus, the conducted studies and the results obtained confirmed and supplemented the data of world researchers, made it possible to determine the leading clinical symptoms of the disease and pathoanatomical changes in the domestic cat when infected with SARS-CoV-2. The obtained data of histological changes allowed a deeper and more detailed assessment and study of the pathogenesis of the disease, which will contribute to a rational approach in choosing the means of therapy of this disease. Key words: cats, coronavirus, SARS-CoV-2, clinical symptoms, pathoanatomical changes, histological examination.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.091
GPT teacher head0.426
Teacher spread0.335 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueNaukovij vìsnik veterinarnoï medicini→Same topicSARS-CoV-2 and COVID-19 Research→French-language works237,207→