The Initial Timing and Burden of Viral Gastrointestinal Infections in Australian Infants
Bibliographic record
Abstract
ABSTRACT: The timing and nature of initial infections by potentially vaccine-preventable gastrointestinal viruses (group-F adenoviruses, classic human astrovirus, norovirus I/II, and sapovirus I/II/IV/V) was investigated in a community-based birth cohort. Weekly stool samples were collected from 158 children aged <2 years in an Australian subtropical city. Median age at initial infection was lowest for norovirus II (13.8 months) followed by sapovirus (14.3 months) and classic human astrovirus (17.6 months), and was >24 months for the remaining viruses. Norovirus II and sapovirus were most often associated with acute gastroenteritis symptoms (57% and 44%, respectively). Overall, healthcare was sought for 45% of symptomatic initial infections, which varied between 17% for norovirus I to 55% for norovirus II. Age at initial infection was lower when participants were exposed to other children. Norovirus II and sapovirus were the most important pathogens in this cohort, providing further evidence for them being priority targets for vaccine development.
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 | 0.003 |
| 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 | 0.001 |
| Research integrity | 0.000 | 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".