Prevalence and risk factors for intestinal parasite infections in schoolchildren, in the city of Santarém, Pará State, Brazil
Bibliographic record
Abstract
Introduction: Intestinal parasites are common in children in poor countries around the world, and are the cause of serious health problems. Objective: To evaluate the prevalence of intestinal parasites in schoolchildren in Santarém, and associated socio-environmental risk factors. Methods: Questionnaires were applied to parents, and fecal exams were performed by direct method and sedimentation. Results: The parasites that prevailed were Entamoeba coli (20.4%) and Ascaris lumbricoides (9.0%). The family income is an important factor related to parasitic infections (χ2=21.000/p=0.001). Other factors such as water treatment (χ2=20.15/p=0.002), health infrastructure (χ2=25.40/p=0.001), and hygiene practices such as hand washing (χ2=11.54/p=0.003) were statistically significant for the presence of intestinal parasites too, some on a lesser scale. Conclusion: The results showed that Entamoeba coli and Ascaris lumbricoides are the prevalent parasites. The family income, water quality, and sanitary infrastructure are the main risk factors for parasitic infections.
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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 | 0.000 |
| 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) | 0.002 | 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".