Recreational water-related illness: office management and prevention.
Bibliographic record
Abstract
OBJECTIVE: To review the risk factors, management, and prevention of recreational water-related illness in family practice. SOURCES OF INFORMATION: Original and review articles from January 1998 to February 2012 were identified using PubMed and the search terms water-related illness, recreational water illness, and swimmer illness. MAIN MESSAGE: There is a 3% to 8% risk of acute gastrointestinal illness (AGI) after swimming. The high-risk groups for AGI are children younger than 5 years, especially if they have not been vaccinated for rotavirus, and elderly and immunocompromised patients. Children are at higher risk because they swallow more water when swimming, stay in the water longer, and play in the shallow water and sand, which are more contaminated. Participants in sports with a lot of water contact like triathlon and kite surfing are also at high risk, and even activities involving partial water contact like boating and fishing carry a 40% to 50% increase in risk of AGI compared with nonwater recreational activities. Stool cultures should be done when a recreational water illness is suspected, and the clinical dehydration scale is a useful clinical tool for assessing the treatment needs of affected children. CONCLUSION: Recreational water illness is the main attributable cause of AGI during swimming season. Recognition that swimming is a substantial source of illness can help prevent recurrent and secondary cases. Rotavirus vaccine is highly recommended for children who will swim frequently.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".