Genetic characterization of<i>Human astrovirus</i>infection in Wuhan, People’s Republic of China, 2007–2008
Bibliographic record
Abstract
Human astrovirus (HAstV) was an important cause of viral gastroenteritis in infants in Wuhan city based on our previous study. The aim of the study was to investigate the nature of HAstV infection in Wuhan, People's Republic of China, especially in adults. Stool specimens were collected from 361 children and 301 adults with diarrhea from July 2007 to June 2008 and were tested for HAstV RNA by RT-PCR. The 348-bp PCR product of positive samples was further sequenced and analyzed for multiple sequence alignment and phylogenetic tree. HAstV RNA was detected in 2.33% (7/301) adults, which was significantly lower than that in children (13.57%, 49/361). HAstV-positive patients were either older than 50 years of age or younger than 3. Genetic analysis showed that the HAstV strain in adults was the same as that in children in 2007-2008. Contrarily, HAstV strains prevalent in 2007-2008 showed genetic characteristics different from those in 2004-2005 and belonged to two new groups of HAstV-1b. Thus, our data characterized HAstV infection in Wuhan 2007-2008, suggesting that HAstV infection also played an important role in adults in Wuhan, especial in patients of >50 years, and should be included for routine diagnosis in the population with diarrheal illness.
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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 | 0.000 | 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 | 0.000 | 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".