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Record W4386563047 · doi:10.2217/fvl-2023-0047

The First Evidence of Seoul hantavirus, Hepatitis E Virus and Rabies Virus in <i>Rattus norvegicus</i> in Tehran, Iran

2023· article· en· W4386563047 on OpenAlexaff
Taher Azimi, Sina Nasrollahian, Sahar Sabour, Nahal Hadi, Leila Azimi, Nourina Rahbarian, Abdollah Karimi, Fatemeh Fallah, Roxana Mansour-Ghanaie, Seyedeh Mahsan Hoseini‐Alfatemi, Sayyed Alireza Fahimzad

Bibliographic record

VenueFuture Virology · 2023
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsHantavirusVirologyRabiesHepatitis E virusBiologyRabies virusRodentVirusGenotype

Abstract

fetched live from OpenAlex

Aim: The present study aimed to investigate the frequency of Seoul hantavirus (SEOV), hepatitis E and rabies viruses in Norway rats in Tehran, Iran. Methods: With the aid of a rat ELISA kit, the we identified specific IgG antibodies against the rabies virus. The presence of SEOV and HEV was determined using an SYBR Green-based real-time PCR assay. Results: 1% of the Rattus norvegicus carried the rabies virus. HEV was associated with R. norvegicus obtained from the south of Tehran with the highest frequency (35%). 12% of tests for SEOV were positive. Conclusion: The findings highlight the importance of putting in place rodent control programs and avoiding interaction with rodent populations in urban settings.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.024
GPT teacher head0.293
Teacher spread0.269 · 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
Published2023
Admission routes1
Has abstractyes

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