Seroepidemiology of Entamoeba histolytica Infection in General Population in Rural Durango, Mexico
Bibliographic record
Abstract
BACKGROUND: The seroepidemiology of Entamoeba histolytica in Mexico has been scantily studied. The aim of the study was to determine the seroprevalence and correlates of E. histolytica antibodies in adults in rural areas in Durango, Mexico. METHODS: Through a cross-sectional study, E. histolytica IgG antibodies were determined in 282 adults living in rural Durango, Mexico using an enzyme-linked immunoassay. In addition, seroprevalence association with the socio-demographic, housing conditions, and behavioral characteristics of the subjects studied was investigated. RESULTS: One hundred and eighteen (41.8%) of the 282 rural subjects had anti-E. histolytica IgG antibodies. Multivariate analysis showed that E. histolytica exposure was positively associated with source of drinking water (OR = 2.73; 95% CI: 1.33 - 5.58; P = 0.005), and poor education of the head of the family (OR = 1.53; 95% CI: 1.03 - 2.27; P = 0.03). In contrast, E. histolytica exposure was negatively associated with consumption of unpasteurized cow milk (OR = 0.55; 95% CI: 0.31 - 0.96; P = 0.03), and crowding at home (OR = 0.33; 95% CI: 0.17 - 0.64; P = 0.0009). CONCLUSIONS: The seroprevalence of E. histolytica infection found in adults in rural Durango is high compared with those reported in other Mexican populations. The correlates of E. histolytica seropositivity found in the present study may be useful for the planning of optimal preventive measures against E. histolytica infection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".