Genetic Diversity and Molecular Epidemiology of Norwalk‐Like Viruses
Bibliographic record
Abstract
Specimens (n=287) from 59 gastroenteritis outbreaks collected from February 1997 to March 1999 were analyzed by reverse transcriptase-polymerase chain reaction. The majority of outbreaks (88%) were associated with Norwalk-like viruses. Molecular analyses of strains from 46 outbreaks showed the cocirculation during the 1998-1999 winter of 2 genogroup II clusters, accounting for 57% and 28% of outbreaks, respectively. An important genetic diversity was observed during this 2-year period. Thirteen different genogroup II strains and 3 different genogroup I strains were found. Genogroup I strains, although from the same cluster, were highly divergent (9%-16%). Epidemiologic and molecular data indicate that several introductions did not result in any major shift of prominent strains, whereas 1 apparently established itself. Some point mutations allowed corroboration of epidemiologic links and strongly suggest that, in several instances, sharing staff and/or transfer of patients between health care institutions can create a significant risk for Norwalk-like virus dissemination.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".