The hidden threats posed by Japanese encephalitis virus genotype V
Bibliographic record
Abstract
Japanese encephalitis virus (JEV) remains a major cause of viral encephalitis in Asia. Among its five genotypes (GI-GV), genotype V (GV) has re-emerged and become the predominant lineage in mosquitoes in the Republic of Korea, with sporadic human cases also reported. GV JEV displays differences from other genotypes in genomic sequence, antigenicity, and pathogenicity, and animal studies indicate higher lethality. Importantly, all currently used vaccines are based on GIII strains and provide partial but insufficient protection against GV JEV, with breakthrough infections documented. These findings raise concerns that GV circulation could undermine existing control strategies. Although shifts in mosquito vectors have been observed, the broader epidemiological and clinical impact of GV JEV remains poorly defined. In the absence of specific antiviral therapies, systematic evaluation is needed to determine whether GV-based vaccines are warranted. This review summarizes current evidence on the epidemiology, molecular and biological characteristics, and vaccine protection of GV JEV, and highlights priorities for surveillance and future research.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".