The new classification system for slaughter-pig herds in the Danish Salmonella surveillance-and-control program

Alban, Lis; Stege, Helle; Dahl, Jan

doi:10.1016/s0167-5877(01)00270-7

Cited by 115 publications

(105 citation statements)

References 9 publications

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“…is based on the random testing of post-slaughter meat-juice samples from all finisher pig-herds that have an annual kill of greater than 200 finishers. The number of animals sampled at slaughter depends on herd size, with 60, 75, or 100 pigs sampled per herd per year [1]. The testing of meat-juice rather than blood facilitates both sample collection and carcass identification [24].…”

Section: The Danish Swine Salmonellosis Control Programmementioning

confidence: 99%

“…The sample results are used to categorise swine herds into one of three levels of a "serological Salmonella finisher index" [1]. The index for each herd was calculated using a three step process: (1) totalling the monthly number of positive samples (optical density greater than 20) for the last three months; (2) weighting the months' totals by 3:1:1 so the most recent month carries the most weight; and (3) adding the weighted totals which are then divided by five.…”

Section: The Danish Swine Salmonellosis Control Programmementioning

confidence: 99%

“…Furthermore, pigs from level 3 herds are subject to special slaughter conditions. At the end of 2004, 3.5% of finisher herds were assigned to level 2 and 1.1% to level 3 1 .…”

Section: The Danish Swine Salmonellosis Control Programmementioning

confidence: 99%

“…since its inception. These include a change in the sampling strategy in August 2001 [1] which was introduced to give more precise estimates for sero-prevalence in smaller herds. The second data extract provided information relating to the 6.8 million individual carcasses that were tested (out of a total kill of approximately 200 million) and included the date of sampling, the unique farm identifier, and the result of the Danish mix-ELISA.…”

Section: The Danish Swine Salmonellosis Control Programmementioning

confidence: 99%

“…The identification of spatial patterns in the data will inform further, more detailed analyses as well as highlight areas with abundant Salmonella infection for targeted surveillance. 1 …”

Section: Introductionmentioning

confidence: 99%

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Descriptive spatial epidemiology of subclinicalSalmonellainfection in finisher pig herds: application of a novel method of spatially adaptive smoothing

Benschop

Hazelton²,

Stevenson³

et al. 2007

Vet. Res.

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-We describe the spatial epidemiological features of the 6.8 million meat-juice serological tests that were conducted between 1995 and 2004 as part of the Danish swine Salmonella control programme. We investigated pig and farm density using edge-corrected kernel estimations. Pigs were aggregated at the county level to assess county-level risk, and then we investigated farm-level risk by giving farms a case or non-case label using a cut-off of 40% of pigs positive. Conditional probability surfaces, correcting for the underlying population at risk, were produced for each year of the study period using a novel kernel estimator with a spatially adaptive smoothing bandwidth. This approach improves on previous methods by allowing focussed estimation of risk in areas of high population density while maintaining stable estimates in regions where the data are sparse. Two spatial trends in the conditional probability of a farm being a case were evident: (1) over the whole country, with the highest risk in the west compared to the east; and (2) on the Jutland peninsula with the highest risk in the north and south. At the farm-level a consistent area of risk was the south-west of Jutland. Case farms tended to aggregate indicating spatial dependency in the data. We found no association between pig or farm density and Salmonella risk. We generated hypotheses for this spatial pattern of risk and we conclude that this spatial pattern should be considered in the development of surveillance strategies and as a basis for further, more detailed analyses of the data.pigs / Salmonella / spatial epidemiology / Denmark / kernel smoothing

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Section: The Danish Swine Salmonellosis Control Programmementioning

confidence: 99%

Section: The Danish Swine Salmonellosis Control Programmementioning

confidence: 99%

“…Furthermore, pigs from level 3 herds are subject to special slaughter conditions. At the end of 2004, 3.5% of finisher herds were assigned to level 2 and 1.1% to level 3 1 .…”

Section: The Danish Swine Salmonellosis Control Programmementioning

confidence: 99%

Section: The Danish Swine Salmonellosis Control Programmementioning

confidence: 99%

“…The identification of spatial patterns in the data will inform further, more detailed analyses as well as highlight areas with abundant Salmonella infection for targeted surveillance. 1 …”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations