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Changes in the prevalence of Salmonella serovars associated swine production and correlations of avian,bovine and swine‐associated serovars with human‐associated serovars in the United States (1997–2015)
Authors:C Yuan  A Krull  C Wang  M Erdman  P J Fedorka‐Cray  C M Logue  A M O'Connor
Institution:1. Department of Statistics, College of Agriculture and Life Sciences, Iowa State University, Ames, IA, USA;2. Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA;3. Diagnostic Bacteriology Laboratory, National Veterinary Services Laboratories, USDA‐APHIS, Ames, IA, USA;4. US Department of Agriculture, Bacterial Epidemiology and Antimicrobial Resistance Research Unit, Russell Research Center, Athens, GA, USA;5. Department of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
Abstract:As Salmonella enterica is an important pathogen of food animals, surveillance programmes for S. enterica serovars have existed for many years in the United States. Surveillance programmes serve many purposes, one of which is to evaluate alterations in the prevalence of serovars that may signal changes in the ecology of the target organism. The primary aim of this study was to evaluate changes in the proportion of S. enterica serovars isolated from swine over a near 20‐year observation period (1997–2015) using four longitudinal data sets from different food animal species. The secondary aim was to evaluate correlations between changes in S. enterica serovars frequently recovered from food animals and changes in S. enterica serovars associated with disease in humans. We found decreasing proportions of S. enterica serovar Typhimurium, serovar Derby and serovar Heidelberg and increasing proportions of S. enterica serovar 4,5],12:i:‐, serovar Infantis and serovar Johannesburg in swine over time. We also found positive correlations for the yearly changes in S. enterica serovar 4,5],12:i:‐, serovar Anatum and serovar Johannesburg between swine and human data; in S. enterica Worthington between avian and human data; and in S. enterica serovar 4,5],12:i:‐ between bovine and human data. We found negative correlations for the yearly changes in S. enterica serovar 4,5],12:i:‐ and serovar Johannesburg between avian and human data.
Keywords:avian  bovine     Salmonella     serovars  surveillance  swine
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