Anti-Cysticercus Antibodies in Pigs and Pig Breeders in María La Baja, Colombia
Bibliographic record
Abstract
Cysticercosis is a parasitic infection caused by the larvae of the pork tapeworm, Taenia solium. It is acquired through fecal-oral contamination, and it can affect humans and pigs. In Colombia, this is an endemic infection especially in locations where breeding and commercialization of pigs are performed under poorly hygienic conditions, such as in Maria La Baja, Department of Bolívar. However, seroprevalence of anti-cysticercus antibodies in pigs or pig breeders at these locations has not been determined. Thus, using indirect immunoassays we quantified anti-cysticercus antibodies in serum samples of pigs (n=254) and pig breeders (n=121) in Maria La Baja. Furthermore, a questionnaire was applied in order to determine environmental, cultural, and socioeconomic variables. Anti-cysticercus antibodies were detected in 36.6% (93/254) of pigs and 44.6% (54/121) of pig breeders. A significant causal association was identified for daily cleaning of pigsties and having anti-cysticercus antibodies with an aOR = 15.16 (CI 95%: 2.13 - 107.86; p = 0.0002). No significant associations were identified between the evaluated variables and seroprevalence of anti-cysticercus antibodies in pigs. Our study indicates that there is a high seroprevalence of anti-cysticercus antibodies in humans and pigs in locations where handling of pigs is performed under poor hygienic conditions. Our results suggest that there is a need to design and implement prevention and control strategies in Maria La Baja in order to reduce transmission of this disease.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".