Back

Prevalence, Risk Factors, and Human Health Implications of Salmonella enterica and Campylobacter spp. in Vermont Backyard Poultry

Patch, C. A.; Larsen, K. M.; Armstrong, C. M.; Kanrar, S.; Michaelides, A. M.; Chakraborty, P.; Harper, K.; Devlin, V.; Martin, L.; Lunna, A.; Blackwell, H. L.; Nguyen, S. C.; Penny, A.; Etter, A. J.

2025-03-12 public and global health
10.1101/2025.03.07.25323574 medRxiv
Show abstract

Backyard poultry (BYP) are increasingly linked to cases of campylobacteriosis and salmonellosis. Between 2022-2024, soiled bedding samples from 70 BYP farms were tested for Campylobacter spp. and/or Salmonella enterica. Nine farms (12.86%) had at least one sample positive for S. enterica, while 19.05% (12/63) tested positive for Campylobacter spp. We sequenced 54 S. enterica isolates from eight farms in this sample and four farms from previous sampling in 2021 (n=12 total farms) to determine the genetic characteristics of S. enterica from backyard poultry. Salmonella Schwarzengrund was the most common serovar (33%; 18/54) found, followed by Kentucky (16.7%; 9/54) and serovars Hadar and Enteritidis (14.8%; 8/54). While all Salmonella Hadar isolates were resistant to multiple antimicrobials, neither the Newport nor Infantis isolates demonstrated any resistance. Four isolates had intermediate resistance to ciprofloxacin and two were resistant to ampicillin. In summary, the frequency of Campylobacter and Salmonella in BYP populations of Vermont may pose a significant public health risk. Although the rate of antimicrobial resistance was low among S. enterica isolates, resistance to medically important antibiotics was observed, and isolate serovars aligned with serovars implicated in human illness in Vermont.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.