FN Archimer Export Format PT J TI Contribution of Meat Inspection to the surveillance of poultry health and welfare in the European Union BT AF HUNEAU-SALAUN, A. STAERK, K. D. C. MATEUS, A. LUPO, Coralie LINDBERG, A. LE BOUQUIN-LENEVEU, S. AS 1:1;2:2,3;3:2,3;4:4;5:5;6:1; FF 1:;2:;3:;4:PDG-RBE-SG2M-LGPMM;5:;6:; C1 ANSES, Ploufragan Plouzane Lab, Ploufragan, France. SAFOSO Inc, Bern, Switzerland. Royal Vet Coll, Hertford, Herts, England. IFREMER, LGPMM SG2M, La Tremblade, France. Natl Vet Inst, S-75007 Uppsala, Sweden. C2 ANSES, FRANCE SAFOSO INC, SWITZERLAND ROYAL VET COLL, UK IFREMER, FRANCE NATL VET INST (SVA), SWEDEN SI LA TREMBLADE SE PDG-RBE-SG2M-LGPMM IN WOS Ifremer jusqu'en 2018 copubli-france copubli-europe copubli-int-hors-europe IF 2.515 TC 26 UR https://archimer.ifremer.fr/doc/00273/38472/37200.pdf LA English DT Article DE ;Animal welfare;disease surveillance;Meat Inspection;poultry AB In the European Union, Meat Inspection (MI) aims to protect public health by ensuring that minimal hazardous material enters in the food chain. It also contributes to the detection and monitoring of animal diseases and welfare problems but its utility for animal surveillance has been assessed partially for some diseases only. Using the example of poultry production, we propose a complete assessment of MI as a health surveillance system. MI allows a long-term syndromic surveillance of poultry health but its contribution is lowered by a lack of data standardization, analysis and reporting. In addition, the probability of case detection for 20 diseases and welfare conditions was quantified using a scenario tree modelling approach, with input data based on literature and expert opinion. The sensitivity of MI appeared to be very high to detect most of the conditions studied because MI is performed at batch level and applied to a high number of birds per batch. PY 2015 PD AUG SO Epidemiology And Infection SN 0950-2688 PU Cambridge Univ Press VL 143 IS 11 UT 000357313600023 BP 2459 EP 2472 DI 10.1017/S0950268814003379 ID 38472 ER EF