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Ad hoc method for the assessment on listing and categorisation of animal diseases within the framework of the Animal Health Law
Date Issued
2017-05
Date Available
2018-02-13T14:32:52Z
Abstract
The European Commission has requested EFSA to assess animal diseases according to the criteria as laid down in Articles 5, 7, 8 and Annex IV for the purpose of categorisation of diseases in accordance with Article 9 of the Regulation (EU) No 2016/429 (Animal Health Law). This scientific opinion addresses the ad hoc method developed for assessing any animal disease for the listing and categorisation of diseases within the Animal Health Law (AHL) framework. The assessment of individual diseases is addressed in distinct scientific opinions that are published separately. The assessment of Articles 5, 8 and 9 criteria is performed on the basis of the information collected according to Article 7 criteria. For that purpose, Article 7 criteria were structured into parameters and the information was collected at parameter level. The resulting fact sheets on the profile and impact of each disease were compiled by disease scientists. A mapping was developed to identify which parameters from Article 7 were needed to inform each Article 5, 8 and 9 criterion. Specifically, for Articles 5 and 9 criteria, a categorical assessment was performed, by applying an expert judgement procedure, based on the mapped information. The judgement was performed by EFSA Panel experts on Animal Health and Welfare in two rounds, individual and collective judgement. The output of the expert judgement on the criteria of Articles 5 and 9 for each disease is composed by the categorical answer, and for the questions where no consensus was reached, the different supporting views are reported.
Type of Material
Journal Article
Publisher
Wiley
Journal
EFSA Journal
Volume
15
Issue
7
Start Page
4783
Copyright (Published Version)
2017 the European Food Safety Authority
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
File(s)
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Name
More_et_al-2017-EFSA_Journal_(002).pdf
Size
2.18 MB
Format
Adobe PDF
Checksum (MD5)
6d3653924f772c36316d28019d109352
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