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Estimating the number of undetected multi-resistant Salmonella Typhimurium DT104 infected pig herds in Denmark
Authors:Rugbjerg Helene  Wingstrand Anne  Hald Tine  Andersen Jens Strodl  Lo Fo Wong Danilo M A  Korsgaard Helle
Institution:

Danish Institute for Food and Veterinary Research, Department of Epidemiology and Risk Assessment, Danish Zoonosis Centre, Mørkhøj Bygade 19, DK-2860 Søborg, Denmark

Abstract:In Denmark, the detection of multi-resistant Salmonella Typhimurium DT104 (MRDT104)-infected pig herds relies on the national Salmonella surveillance programme at the farm and slaughterhouse levels of production. With the surveillance sampling protocol and the diagnostic methods currently used, some herds might remain undetected. The number of undetected Danish pig herds infected with MRDT104 in the period 1 August 2001–31 July 2002 was estimated and compared with the number of culture-confirmed detected herds. A flow chart was constructed to illustrate where infected herds will go undetected in the surveillance system and Monte Carlo simulation was used to model the actual number of pig herds infected with MRDT1104. We estimated that 52 (90% CI 28, 178]) finisher herds were infected with MRDT104 compared to 23 (44%) detected. Among sow herds with production of weaners or growers, we estimated that 38 (90% CI 23, 74]) were infected with MRDT104 compared to 7 (18%) actually detected. Among breeder and multiplier herds, we estimated that five (90% CI 3, 8]) herds were infected with MRDT104 compared to three (60%) detected. In total, we estimated that 102 pig herds were infected with MRDT104 from 1 August 2001 till 31 July 2002 (90% CI 63, 228]). In comparison, 33 (32%) infected herds were detected in this period. The predicted proportion of undetected herds varied considerably with herd type. We infer that the proportion of detected MRDT104 infected herds depended on the intensity of the combined serological and bacteriological testing.
Keywords:Multi-resistant Salmonella Typhimurium DT104  Monte Carlo simulation  Pigs  Food safety  Surveillance  Risk assessment
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