Herd-level factors associated with isolation of Salmonella in a multi-state study of conventional and organic dairy farms

Fossler, Charles P.; Wells, Scott J.; Kaneene, John B.; Ruegg, P.L.; Warnick, Lorin D.; Bender, Jeffrey B.; Eberly, Lynn E.; Godden, Sandra; Halbert, Lisa W.

doi:10.1016/j.prevetmed.2005.04.002

Cited by 84 publications

(82 citation statements)

References 26 publications

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“…Early observations showed broiler carcasses to be nearly 11 times (Odds ratio 10.62) more likely to yield Salmonella in the hot season, compared to winter season (Ellerbroek et al, 2010). These differences in isolation might be because Salmonella is more prevalent in the hotter season (Fossler et al, 2005;Liljebjelke et al, 2005). Similarly in a study from Nepal, the prevalence of Salmonella was found to be high during the months of April and May (Maharjan et al, 2006), which compares with our results of higher Salmonella prevalence during the month of April-June.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Multidrug-Resistant (MDR) Salmonella enteritidis in Poultry and Backyard Chicken from Tiruchirappalli, India

Bhuvaneswa¹,

Shanmughap²,

Natarajase³

2015

Microbiology J.

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This study aimed to investigate the prevalence of multidrug resistant Salmonella enteritidis from poultry chicken in comparison with the backyard country chicken along with their seasonal variation in Tiruchirappalli, Tamilnadu, India. A total of 325 rectal swab samples of chicken were included for this study. Among them 157 and 168 were from poultry and backyard chicken, respectively. Samples were randomly collected during each season like monsoon, post monsoon, Winter and Summer from July 2010 to June 2011. The total rate of isolation of Salmonella was found to be 26.8% (n = 87). Among them 32.5% (n = 51) were from poultry and 21.4% (n = 36) were from backyard chicken. Highest isolation rate was obtained during summer and the lowest, during winter. All the isolates were found to be highly resistant to β-lactam and macrolide antibiotics (52.9-100%) and highly sensitive to co-trimoxazole and ciprofloxacin (41.2-76.5%). More number of multi drug resistant Salmonella isolates was recovered from the poultry chicken from Tiruchirappalli, Tamilnadu. The probability for this may be the frequent exposure of the poultry chickens for various antibiotics in the chicken farms during their cultivation. β-lactam and macrolide antibiotics may be used in these farms routinely for curbing the bacterial infection among the chickens and this was evidenced in comparison with the backyard chicken samples.

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Section: Discussionmentioning

confidence: 99%

Prevalence of Multidrug-Resistant (MDR) Salmonella enteritidis in Poultry and Backyard Chicken from Tiruchirappalli, India

Bhuvaneswa¹,

Shanmughap²,

Natarajase³

2015

Microbiology J.

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“…Advances in microbiological methods and epidemiological research have significantly progressed our understanding of foodborne diseases and the impact of implementing control programs at preharvest (Torrence, 2005). Epidemiological studies have measured the prevalence of foodborne pathogens at the farm level and studied the association between carriage of foodborne pathogens and animal and herd level variables using risk factor analysis (Fossler et al, 2005a(Fossler et al, , 2005b. Molecular epidemiology has unraveled the complex dynamics underlying zoonotic enteric pathogen presence at the farm level.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling of the Transmission and Control of Foodborne Pathogens and Antimicrobial Resistance at Preharvest

Lanzas

Gröhn

2011

Foodborne Pathogens and Disease

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Foodborne diseases are a significant health-care and economic burden. Most foodborne pathogens are enteric pathogens harbored in the gastrointestinal tract of farm animals. Understanding the transmission of foodborne pathogens and the dissemination of antimicrobial resistance at the farm level is necessary to design effective control strategies at preharvest. Mathematical models improve our understanding of pathogen dynamics by providing a theoretical framework in which factors affecting transmission and control of the pathogens can be explicitly considered. In this review, we aim to present the principles underlying the mathematical modeling of foodborne pathogens and antimicrobial resistance at the farm level to a broader audience.

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“…For Salmonella control, the high variability implies that a culling strategy to decrease the average infectious period (and thus R 0 ) should aim at the carriers 2 . In addition, hygienic measures can reduce the risk of transmission from the environment [5,20,23].…”

Section: Discussionmentioning

confidence: 99%

“…In addition, the variation in prevalence may be a result of the resistance of the animals in a herd. Earlier studies found that herd management and co-infections with liver-fluke and BVDV are risk factors for severe clinical outbreaks 4 [5,17,22]. …”

Section: Discussionmentioning

confidence: 99%

Transmission ofSalmonellain dairy herds quantified in the endemic situation

et al. 2007

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-Salmonella is a cause of concern in the cattle industry, because it is a zoonosis causing severe invasive infections in humans and because it causes economic and welfare losses in infected herds. In general, cattle in the Netherlands are infected with two types; Salmonella Dublin and Salmonella Typhimurium. Both types cause clinical signs but S . Dublin outbreaks are more prevalent and clinical signs are more severe than S . Typhimurium outbreaks. Our knowledge of the transmission of Salmonella within herds is still limited, while this is an essential component for modelling the success of intervention strategies to control Salmonella. The aim of our study was to estimate the basic reproduction ratio (R 0 ), the number of secondary cases produced from each primary case in a totally susceptible population, for S . Dublin and S . Typhimurium in dairy herds. Serological data were obtained from eight farms with a clinical outbreak of Salmonella, two with an outbreak of S . Dublin and 6 of S . Typhimurium. R 0 was estimated from the serological data of the herds that were in an endemic state of the infection. R 0 across herds was estimated to be 2.5 (95% CI 1.7-9.8) and 1.3 (95% CI 1.1-1.7) for S . Dublin and S . Typhimurium, respectively. The between herd variation was significant and fairly large. The results of the sensitivity analysis showed that the R 0 estimate was not sensitive for changes in the latent, infectious or seropositive periods. The R 0 estimates indicated that the infection would not spread very extensively in susceptible populations under management systems similar to the ones in the study herds.Salmonella Dublin / Salmonella Typhimurium / transmission / dairy cattle

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Herd-level factors associated with isolation of Salmonella in a multi-state study of conventional and organic dairy farms

Cited by 84 publications

References 26 publications

Prevalence of Multidrug-Resistant (MDR) Salmonella enteritidis in Poultry and Backyard Chicken from Tiruchirappalli, India

Prevalence of Multidrug-Resistant (MDR) Salmonella enteritidis in Poultry and Backyard Chicken from Tiruchirappalli, India

Mathematical Modeling of the Transmission and Control of Foodborne Pathogens and Antimicrobial Resistance at Preharvest

Transmission ofSalmonellain dairy herds quantified in the endemic situation

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