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Record W2394560265 · doi:10.5152/tpd.2016.4036

Seroprevalance of Leishmaniasis in Dogs from Hatay and Burdur Provinces of Turkey and Northern Cyprus

2016· article· en· W2394560265 on OpenAlexaff
Yunus Emre Beyhan, Bekіr Çelebі, Osman Ergene, Mesut Mungan

Bibliographic record

VenueTurkish Journal of Parasitology · 2016
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsSeroprevalenceCanine leishmaniasisVeterinary medicineLeishmaniasisEpidemiologyLeishmaniaSerologyVector (molecular biology)MedicineAntibodyLeishmania infantumBiologyImmunologyVisceral leishmaniasisParasite hostingInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aimed to investigate the seroprevalance of leishmaniasis in dogs from Hatay and Burdur provinces of Turkey and Northern Cyprus. METHODS: Blood was collected from a total of 278 dogs, including 124 from Hatay, 49 from Burdur, and 105 from Northern Cyprus. Dilutions of serum samples were prepared, and the presence of anti-Leishmania antibodies was investigated by indirect fluorescent antibody technique (IFAT). RESULTS: A total of three dogs were found to be seropositive (1.1%), one from Hatay (0.8%) and two from Northern Cyprus (1.9%). Also, one dog (0.4%) from Northern Cyprus was found to be borderline positive. All dogs from Burdur have been identified as seronegative. CONCLUSION: This is the first research on the seroprevalence of the parasite in dogs from Hatay and Burdur. The seropositivity detected in dogs from Hatay and Northern Cyprus demonstrates the presence of the parasite in these regions, and obtained results contribute data on the prevalence of the disease in an epidemiological manner. To obtain more reliable data, it will be useful to conduct studies on wider dog populations and vector sandflies.

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)0.001
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 score0.034
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.314
Teacher spread0.297 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

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