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Record W4400804829 · doi:10.22491/2357-9730.133377

Enterovirus D68: Epidemiology of a Virus that Causes Pediatric Infectious Disease

2023· article· en· W4400804829 on OpenAlexaboutno aff
Jonas Michel Wolf

Bibliographic record

VenueClinical & Biomedical Research · 2023
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsnot available
Fundersnot available
KeywordsVirologyCladeOutbreakEpidemiologyMost recent common ancestorMedicineBiologyPhylogenetic treeGeneticsInternal medicineGene

Abstract

fetched live from OpenAlex

Enterovirus D68 (EV-D68) is a respiratory virus that primarily affects children and has been associated with sporadic outbreaks of respiratory illness worldwide. This study aimed to carry out a literature review considering several aspects involving EV-D68 infection: epidemiology, molecular evolution, prevention, diagnosis, and treatment of this infection. Data from 976 whole genome sequences (WGS) of EV-D68 collected between September 1977 to September 2022 showed substitution rates of 4.06E10‐3 nucleotides per site per year (s/s/y). Phylogenetic tree of EV-D68 by clades (A1, A2, B, B1, B2, B3, and C) was performed. The time to the most recent common ancestor (tMRCA) of A1 was 2005-04-17 in the USA, A2 was 2003-12-23 in China, B was 2003-07-06 in China, B1 was 2010-03-21 in Vietnam, B2 was 2006-11-25 in Vietnam, B3 was 2011-01-15 in China, and C was 2000-06-27 in the USA. The immune response to EV-D68 involves both innate and adaptive immunity, with the production of neutralizing antibodies and activation of T cells playing crucial roles. Prevention strategies for EV-D68 include practicing good hand hygiene, respiratory etiquette, and avoiding close contact with infected individuals. In conclusion, EV-D68 was originated in Canada in 1995 and spread to Europe, Asia, Oceania, Latin America, and Africa.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.442
GPT teacher head0.583
Teacher spread0.141 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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