The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Scientific Opinion on the public health hazards to be covered by inspection of meat (swine): Meat inspection of swine
Open accessAbstract
Abstract A qualitative risk assessment identified Salmonella spp., Yersinia enterocolitica, Toxoplasma gondii and Trichinella spp. as the most relevant biological hazards in the context of meat inspection of swine. A comprehensive pork carcass safety assurance is the only way to ensure their effective control. This requires setting targets to be achieved in/on chilled carcasses, which also informs what has to be achieved earlier in the food chain. Improved Food Chain Information (FCI) enables risk‐differentiation of pig batches (hazard‐related) and abattoirs (process hygiene‐related). Risk reduction measures at abattoir level are focused on prevention of microbial contamination through technology‐ and process hygiene‐based measures (GMP/GHP‐ and HACCP‐based), including omitting palpation/incision during post‐mortem inspection in routine slaughter, as well as hazard reduction/inactivation meat treatments if necessary. At farm level, risk reduction measures are based on herd health programmes, closed breeding pyramids and GHP/GFP. Chemical substances listed in Council Directive 96/23/EC were ranked into four categories. Dioxins, dioxin‐like polychlorinated biphenyls and chloramphenicol were ranked as being of high potential concern. However, chemical substances in pork are unlikely to pose an immediate or short term health risk for consumers. Opportunities for risk‐based inspection strategies by means of differentiated sampling plans taking into account FCI were identified. Regular update of sampling programmes and inclusion of inspection criteria for the identification of illicit use of substances were also recommended. Meat inspection is a key component of the overall surveillance system for pig health and welfare but information is currently under‐utilised. The changes proposed to the pig meat inspection system will lead to some reduction in the detection probability of diseases and welfare conditions. The difference is likely to be minimal for diseases/conditions that affect several organs. To mitigate the reduced detection probability, palpation and/or incision should be conducted as a follow‐up to visual inspection whenever abnormalities are seen.
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Foodborne illness acquired in the United States—Major pathogens
Scallan, E., Hoekstra, R. M., Angulo, F. J., Tauxe, R. V., Widdowson, M.-A., Roy, S. L., Jones, J. L., & Griffin, P. M. (2011) · Emerging Infectious Diseases · doi:10.3201/eid1701.p11101 · Cited by 7,657
Fingerprints of global warming on wild animals and plants
Root, T. L., Price, J. T., Hall, K. R., Schneider, S. H., Rosenzweig, C., & Pounds, J. A. (2003) · Nature · doi:10.1038/nature01333 · Cited by 4,774
Cited by
The European Union One Health 2018 Zoonoses Report
European Food Safety Authority and European Centre for Disease Prevention and Control (EFSA and ECDC) (2019) · EFSA Journal · doi:10.2903/j.efsa.2019.5926 · Cited by 874
The European Union One Health 2021 Zoonoses Report
Authority, E. F. S., & European Centre for Disease Prevention and Control (2022) · EFSA Journal · doi:10.2903/j.efsa.2022.7666 · Cited by 703
Current control options and a way towards risk-based control of Toxoplasma gondii in the meat chain
Kuruca, L., Belluco, S., Vieira-Pinto, M., Antic, D., & Blagojevic, B. (2023) · Food Control · doi:10.1016/j.foodcont.2022.109556 · Cited by 21
Metadata
- Authors
- (BIOHAZ), E. P. O. B. H.
- Venue
- EFSA Journal
- Publisher
- Wiley
- Published
- 2011-10
- Volume
- 9
- Issue
- 10
- Pages
- 2351
- ISSN
- 1831-4732 (ISSN-L)
- OpenAlex
- W319651075
- Cited by
- 267
- References
- 2
- FWCI
- 30.13
- Type
- journal article
- Language
- en
- Open access
- gold
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- (BIOHAZ), E. P. O. B. H. (2011). Scientific Opinion on the public health hazards to be covered by inspection of meat (swine): Meat inspection of swine. EFSA Journal. https://doi.org/10.2903/j.efsa.2011.2351
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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