Enterovi rus D68: Epidemiology, Molecular Evolution, Prevention, Diagnosis, and Treatment of a Virus that Causes Pediatric Infectious Disease
Bibliographic record
Abstract
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 molecular origin of the EV-D68 was in Canada in 1995, later it was disseminated in France in 1997, the USA in 1999, Asia in 2008, the Netherlands in 2009, New Zealand in 2010, Mexico in 2014, Kenya in 2015, Sweden in 2016, Switzerland in 2018, Spain in 2018, Belgium in 2018, Australia in 2018, and Denmark in 2019. Recently, in 2022 this virus circulated 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".