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Record W2517785237

Phlebovirus infection in Greece: a case report.

2016· article· en· W2517785237 on OpenAlexaff
Anna Papa, Ch Kesisidou, Anastasia Kontana, Z Arapidou, D Petropoulou

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsRegina General Hospital
Fundersnot available
KeywordsPhlebovirusSandflyMedicineVirologyBunyaviridaeArbovirusPhlebotomusMeningitisImmunologyVirusPediatricsLeishmania
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Sandfly-transmitted phleboviruses cause to humans an asymptomatic or mild infection to severe meningitis or encephalitis. Phleovirus infections are common in the Mediterranean countries during the summertime when sandflies are active. It is estimated that several cases remain undiagnosed. DESCRIPTION OF CASE: In July 2013, a 45-year-old Greek male, was admitted to the General Hospital of Florina in northwestern Greece with two-day history of fever, myalgia, arthralgia, mild headache, and hemorrhagic exanthema. A serum sample obtained from the patient on the 6(th) day of illness was tested negative for West Nile virus infection. Instead, high titers of IgM and IgG antibodies against Toscana virus (TOSV) were detected, with low titers against sandfly fever Naples virus and no reactivity against sandfly fever Sicilian and Cyprus viruses, suggesting that the causative agent was TOSV or other phlebovirus with antigenic similarity to TOSV. CONCLUSION: Phleboviruses have to be included in the differential diagnosis of acute summer febrile cases, accompanied or not by neurological symptoms. Effort has to be paid to test clinical samples during the first days of the disease when the virus is detectable by molecular or isolation methods, in order to elucidate the complex epidemiology of phleboviruses in the Mediterranean area. Hippokratia 2015; 19 (2):189-191.

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)0.002
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.279
Teacher spread0.241 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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