Glimpse into the biosecurity, antimicrobial usage, and antimicrobial resistance of fecal <em>Escherichia coli</em> associated with commercial chicken layer farms in a poultry dense area in Sri Lanka
Bibliographic record
Abstract
Industrial food animal production plays an essential role in the global food supply chain. In parallel with the growth of the Sri Lankan poultry sector, antimicrobial usage has also been increased with the aim of reducing disease incidents. The development of antimicrobial resistance due to the irrational use of antimicrobials is a global problem. Commensals like Escherichia coli (E. coli) can easily acquire and transfer resistance to pathogenic and zoonotic bacteria which cause treatment failures in both humans and animals. The present study was conducted in 50 poultry layer (commercial chicken layers) farms in Kurunegala district of Sri Lanka during the period from November 2016 to January 2017. A questionnaire-based survey was conducted to collect information mainly on the management, biosecurity, and antimicrobial usage of selected farms. Further, E. coli were isolated from the fecal samples collected from 26 farms among those 50 farms, and their antimicrobial-resistant profiles (AMR) were investigated. Results revealed that 98% of the farms had poor biosecurity management practices while using at least one antimicrobial drug (98%). The most commonly used antimicrobial drug was enrofloxacin (79.6%) followed by amoxicillin (61.2%), both sulfamethoxazole and trimethoprim (49%), tetracycline (26.5%), neomycin (22.4%), and tylosin (4.1%). AMR profile of fecal E. coli revealed that the highest resistance is for tetracycline(81.8%) followed by nalidixic acid (54.5%), trimethoprim-sulfamethoxazole (40.9%), ampicillin (45.5%) and ciprofloxacin (31.8%). Lower levels of resistance, 13.6%, 9.1%, and 4.5% were observed for streptomycin, ceftazidime, and imipenem respectively. All the isolates were susceptible to amikacin and gentamycin; while 68.18% of isolated E. coli were multidrug-resistant (MDR). AMR and MDR findings of this study highlight the need of implementing strategies to regulate the usage of antimicrobial drugs in poultry farms in Sri Lanka, to prevent and control the emergence of antimicrobial-resistant pathogens and diseases from a ‘one health’ perspective.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".