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Scientific Opinion on a quantitative estimation of the public health impact of setting a new target for the reduction of Salmonella in broilers

2011; Wiley; Volume: 9; Issue: 7 Linguagem: Inglês

10.2903/j.efsa.2011.2106

ISSN

1831-4732

Tópico(s)

Salmonella and Campylobacter epidemiology

Resumo

EFSA JournalVolume 9, Issue 7 2106 OpinionOpen Access Scientific Opinion on a quantitative estimation of the public health impact of setting a new target for the reduction of Salmonella in broilers EFSA Panel on Biological Hazards (BIOHAZ), EFSA Panel on Biological Hazards (BIOHAZ)Search for more papers by this author EFSA Panel on Biological Hazards (BIOHAZ), EFSA Panel on Biological Hazards (BIOHAZ)Search for more papers by this author First published: 26 July 2011 https://doi.org/10.2903/j.efsa.2011.2106Citations: 10 Panel members: Olivier Andreoletti, Herbert Budka, Sava Buncic, John D Collins, John Griffin, Tine Hald, Arie Havelaar, James Hope, Günter Klein, Kostas Koutsoumanis, James McLauchlin, Christine Müller-Graf, Christophe Nguyen-The, Birgit Noerrung, Luisa Peixe, Miguel Prieto Maradona, Antonia Ricci, John Sofos, John Threlfall, Ivar Vågsholm and Emmanuel Vanopdenbosch Correspondence: biohaz@efsa.europa.eu Acknowledgement: The Panel wishes to thank the members of the Working Group on on a quantitative estimation of the public health impact of setting a new target for the reduction of Salmonella in broilers: Mariann Chriél, Pierre Colin, Robert Davies, Tine Hald, Arie Havelaar, Béla Nagy, Geertrui Rasschaert, Antonia Ricci and John Sofos for the preparatory work on this scientific opinion. Adoption date: 7 July 2011 Published date: 26 July 2011 Question number: EFSA-Q-2008-293 On request from: European Commission AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract This assessment relates the percentage of broiler-associated human salmonellosis cases to different Salmonella prevalences in broiler flocks in the European Union. It considers the contribution and relevance of different Salmonella serovars found in broilers to human salmonellosis. The model developed to provide quantitative estimates, which is based on the microbial-subtyping approach, considers 22 Member States, four animal-food sources of Salmonella (broilers, laying hens, pigs and turkeys) and 23 Salmonella serovars. The model (called the 'Broiler Target Salmonella Attribution Model' or BT-SAM model) employes data from the EU Baseline Surveys and EU statutory monitoring on Salmonella in animal-food sources, data on incidence of human salmonellosis and food availability data. It is estimated that around 2.4%, 65%, 28% and 4.5% of the human salmonellosis cases are attributable to broilers, laying hens (eggs), pigs and turkeys respectively. Of the broiler-associated human salmonellosis cases, around 42% and 23% are estimated to be due to the serovars Salmonella Enteritidis and Salmonella Infantis respectively, while other serovars individually contributed less than 5%. Different scenarios are presented showing changes in the percentage of broiler-associated human salmonellosis cases under different prevalences of Salmonella in broiler flocks. Compared to 2006, the 2009 Salmonella in broiler flocks prevalence has achieved a reduction of 69% in the number of broiler-associated human salmonellosis cases. When comparing the results of the adjusted prevalences for Salmonella Enteritidis and Salmonella Typhimurium as reported in 2009 with a theoretical combined prevalence of 1% for these two serovars, the difference between the percentages of broiler-associated cases is small. However, when adjusting the combined prevalence of all serovars to 1%, a large reduction in the percentage of broiler-associated cases compared to the one achieved with the two previous serovars only is expected. Uncertainty and data limitations are discussed, including recommendations on how these could be overcome. 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