Contribution to the Diagnostic Study of Intestinal Parasitosis, Haiti
Bibliographic record
Abstract
Parasitic intestinal diseases are widespread in the world with a higher prevalence in developing countries. They are generally a serious public health problem in tropical countries. In October 2020, a cross-sectional study was undertaken to determine the prevalence of intestinal parasites in patients visiting Fermathe Hospital in Haiti. Data were collected on stool results with the presence of parasites and we used systematic sampling for further information regarding patients with parasitology problems. A summary field survey was also carried out in the surrounding areas with more cases recorded such as Corail, Calbasse, Fort Jacques, Center / Marché Kenscoff, Doco, and Douret for direct observations of the inventory and voluntary interviews with the residents of the area on hygiene practices. The prevalence of intestinal parasites was 31.26% and the most common species were: Endolimax nana (39.13%), followed by Blastocystis hominis (14%), Blastocystis hominis / Giardia intestinales (12.07%), Entamoeba coli (5.31%), and others like Iodamoeba butschlii, Ascaris lumbricoides or combined parasites were less than 5%. The field survey revealed a strong relationship between parasitosis and drinking water, parasitosis, and place of defecation. Although there are health centers in the area, many people use self-medication or empiric therapy. The study highlights the important causes of gastrointestinal disorders that present themselves in this hospital and confirms intestinal parasitosis as a major public health problem in Haiti.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".