Characteristics of zoonotic gastrointestinal parasite infections in owned dogs. Lima-Peru
Bibliographic record
Abstract
Urban growth in Peru is accompanied by an increase in dog ownership. Which constitutes a potential risk in the transmission of zoonotic diseases. The objective of the research was to describe the characteristics of the zoonotic gastrointestinal parasite infections in dogs with an owner. For this, 296 stool samples from patients treated in veterinary clinics located in the districts of South Central (Miraflores, Chorrillos) and South (San Juan de Miraflores) Lima were analyzed. Of which 288 were positive for gastrointestinal zoonotic parasites during the period 2015 - 2018. Likewise, the direct examination and the flotation concentration test were carried out to identify zoonotic parasites. Regarding the results, infection caused by Giardia spp (66,3%) was the most frequent, followed by Toxocara canis (18,8%), Ancylostoma caninum (3,5%) and Dypilidium caninum (2,4 %). Likewise, a higher frequency of parasites was observed in the diarrheal feces of male dogs (52,8%) of small breeds (43,8%). Mixed-breed dogs (12,2%), English Bulldog (10%) and Labrador retriever (9,7%) were the most frequently infected. It is concluded that 97,3% of the owned dogs were infected with zoonotic gastrointestinal parasites, which constitutes a problem for public health.
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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 | 0.000 | 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".