<i>Salmonella</i> Prevalence and Antimicrobial Drug Resistance in Dual-Purpose Cattle Operations in the Eastern Region of Zulia State, Venezuela
Bibliographic record
Abstract
To evaluate the Salmonella prevalence and its antimicrobial susceptibility in dual-purpose cattle farms, fecal (n = 3964; from cows and calves) and environmental samples (n = 334; personnel, feed, and water sources) were collected over a 1-year period at six farms in the eastern region of Zulia State, Venezuela. Salmonella detection was carried out using standard microbiological culture methods. From 453 isolated Salmonella, antimicrobial susceptibility was tested using a panel of 10 antibiotics by the disk diffusion test method. Overall, the prevalence of Salmonella at the farm was 10.4% (n = 410/3964), being positive for Salmonella in at least in one sample. Salmonella was found in 11% (222/2009) of cows and 9.7% (188/1937) of calves. The prevalence of environmental samples was 10.78% (36/334), where water sources and milkers' hands showed higher occurrence (p < 0.01). Among the Salmonella isolates recovered, 10.2% displayed resistance to tetracyclines, aminoglycosides, cephalosporins, penicillins, sulfonamides, quinolones and fluoroquinolones. Overall, multidrug resistance was 9.1%, and the most common combination was cephalothin-gentamicin-tetracycline, followed by gentamicin-norfloxacin-tetracycline. Over the course of this study, it was found that 100% of the evaluated farms had cattle shedding Salmonella and that the surrounding farm environments were contaminated, which contributed to the cycling of the pathogen at the farms and further contamination of the milk. However, only a low percentage of isolates exhibited significant antimicrobial resistance.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".