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Record W2911875399 · doi:10.31890/vttp.2018.02.30

EPIZOOTIC SITUATION AS FOR CANINE DIROFILARIOSIS IN KHARKIV

2018· article· en· W2911875399 on OpenAlexaboutno aff
P. V. Lyulin, О. В. Федорова, О. В. Нікіфорова, V. S. Bulavina, V.M. Stepanyuk

Bibliographic record

VenueVETERINARY SCIENCE TECHNOLOGIES OF ANIMAL HUSBANDRY AND NATURE MANAGEMENT · 2018
Typearticle
Languageen
FieldMedicine
TopicParasitic Diseases Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsDirofilariasisDirofilaria immitisDirofilariaLabrador RetrieverDirofilaria repensVeterinary medicinePurebredBreedMedicineBiologyPathologyHelminthsZoologyAnimal science

Abstract

fetched live from OpenAlex

The results of the examination of purebred dogs and mongrel dogs to establish cases of dirofilariasis in Kharkiv have been presented in the article. The official documents of the veterinary reports of Kharkiv filial branch of State Scientific and Research Institute of Laboratory Diagnostics and Veterinary and Sanitary Expertise from 2013 to 2018 have been analyzed. According to the statistical data, the extensity of canine dirofilariasis among dogs in Kharkiv from 2013 to 2018 ranged within 11.8%. The maximum rise of canine dirofilariasis was recorded in 2013 (extensity of invasion (EI) – 13.78%), and the lowest level was recorded in 2017 (EI – 7.93%). 25 dogs in Kharkiv were investigated by epizootological, special hemolarvoscopic, clinical and parasitological methods. The above-mentioned dogs belonged to 8 breeds: Alabai (1), American Staffordshire Terrier (2), Doberman Pinscher (2), East-European Shepherd (3), Cocker Spaniel (2), Labrador Retriever (2), German Shepherd Dog (2), Riesenschnauzer (2) and Mongrel Dogs (9). 37.5% of 16 purebred dogs that were infected with dirofilariasis had intensity of invasion 157.5±18.5 micro-filariae / 1 cm3 of blood. 9 Mongrel Dogs infected with dirofilariasis had extensity of dirofilariasis 22.2% and intensity of invasion 190.4±15.7 micro-filariae / 1 cm3 of blood. Degree of canine dirofilariasis among the dogs of American Staffordshire Terrier, Doberman Pinscher, Labrador Retriever, German Shepherd Dog breeds reached 50% with intensity 157.5±18.5 micro-filariae / 1 cm3 of blood. The result of the study showed that belonging to certain breeds did not effect on morbidity of dogs with dirofilariasis. The degree of invasion of various dog breeds depended on the conditions of the maintenance and their economic use that definitely influence probability of contact of dogs with biological vector – mosquitoes. Commercial and hunting dogs were the most infected ones with dirofilariasis (EI – 50.0%), and the lowest degree of the invasion was established in the dog of fighting breeds (EI – 25.0%) and in mongrel dogs (EI – 22.2%). The intensity of invasion was 168.5±18.2 and 190.4±15.7 micro-filariae / 1 cm3 of blood. Pet decorative dogs were free from dirofilariasis because of minimal contact with mosquitoes and they had much less probability to be infected. The frequency of cases of canine dirofilariasis depended on the age of animals. Dirofilariasis was not registered in dogs under 1 year old. The age dynamics of canine dirofilariasis was characterized by a gradual increase in dogs older than 1 year up to 3 years of age (EI – 25-33.3%). The maximum significance of invasion registered in the dogs of 7 years old (EI – 42.85%) with the intensity 195.6±15.1 micro-filariae / 1 cm3 of blood. In dogs of 10-12 years old and older because of the decrease in natural resistance the increase in the level of invasiveness was registered.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.021
GPT teacher head0.368
Teacher spread0.346 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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