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Record W2972861690

Zika virus: A current review of literature

2019· review· en· W2972861690 on OpenAlexvenueno aff
Bera Ubeyd Yildiz, Keramettin Yanık

Bibliographic record

VenueUniversity of Toronto Medical Journal · 2019
Typereview
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
Fundersnot available
KeywordsZika virusMicrocephalyMedicinePandemicOutbreakPublic healthTransmission (telecommunications)EpidemiologyFlavivirusVirologyVirusPediatricsInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)DiseasePathology
DOInot available

Abstract

fetched live from OpenAlex

Zika virus is a mosquito-transmitted flavivirus belonging to the family Flaviviridae. Its spread has been an ongoing pandemic and the focus of a public health emergency since 2007. Though Zika virus was first detected in 1947, its rapid spread, newfound modes of transmission, and the absence of adequate treatments have recently brought this virus into the public eye. After an outbreak of Zika virus in Brazil in 2007, many complications were suspected to be linked with to its infection. These complications include Guillain-Barre syndrome, several congenital malformations, microcephaly, and some neurological complications. There is no effective treatment nor vaccine for Zika virus. Ongoing research focusses largely on preventing infection in regions where transmission is most common, especially in populations of pregnant women. It is advisable for clinicians working in non-endemic areas to maintain a full awareness of Zika virus in order to properly manage this infection when it spreads into their catchment areas. This review aims to summarize what is currently known about the epidemiology, transmission, pathogenesis, clinical presentation, diagnosis, treatment, and prevention methods of the Zika virus.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.332
Teacher spread0.309 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2019
Admission routes1
Has abstractyes

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