Presi, P,; Knopf, L,; Regula, Gertraud; Pacciarelli, B.; Frey, J.; Stärk, K. D. C. (2007). Evaluation of the chemical residue monitoring in animal-derived products in Switzerland. Food additives and contaminants. Part A - chemistry, analysis, control, exposure & risk assessment, 24(6), pp. 590-597. London: Taylor & Francis 10.1080/02652030601137346
Full text not available from this repository. (Request a copy)This paper evaluates whether the Swiss monitoring programme for foreign substances in animal products fulfils basic epidemiological quality requirements, and identifies possible sources of bias in the selection of samples. The sampling was analysed over a 4-year period (2002-05). The sampling frame in 37 participating abattoirs covered 51% of all slaughtered pigs, 73% of calves, 68% of beef and 36% of cows. The analysis revealed that some sub-populations as defined by the region of origin were statistically over-represented while others were under-represented. The programme that is in accordance with European Union requirements contained some relevant bias. Patterns of under-sampled regions characterized by management type differences were identified. This could lead to an underestimate of the number of contaminated animals within the programme. Although the current sampling was stratified and partially risk-based, its efficiency could be improved by adopting a more targeted approach.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Veterinary Public Health Institute 05 Veterinary Medicine > Department of Infectious Diseases and Pathobiology (DIP) > Institute of Veterinary Bacteriology |
UniBE Contributor: |
Schüpbach-Regula, Gertraud Irene, Frey, Joachim |
ISSN: |
0265-203X |
Publisher: |
Taylor & Francis |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:53 |
Last Modified: |
02 Mar 2023 23:22 |
Publisher DOI: |
10.1080/02652030601137346 |
PubMed ID: |
17487600 |
Web of Science ID: |
000246834500005 |
URI: |
https://boris.unibe.ch/id/eprint/22472 (FactScience: 34887) |
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