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http://hdl.handle.net/1942/48024| Title: | Update of general guidelines for statistically sound and risk-based surveys of plant pests | Authors: | Food, European Authority, Safety Lázaro, Elena Parnell, Stephen Civera, Antonio Schenk, Martijn Abrahantes, Jose Navas-Cortes, Juan Thulke, Hans-Hermann Pecori, Francesco Koh, Joshua Schans, Jan AERTS, Marc Zancanaro, Gabriele Vos, Sybren Kaluski, Tomasz |
Issue Date: | 2025 | Publisher: | Source: | Efsa Supporting Publications, 22 (12) | Status: | Early view | Abstract: | At the request of the European Commission, EFSA prepared the general guidelines for surveys of plant pests, describing the legal, international and scientific context in which the surveys are designed, the basic principles implemented for surveillance of quarantine pests and introducing the concepts needed for the design of statistically sound and risk-based surveys. Three types of specific surveys are addressed: detection surveys for substantiation of pest freedom, delimiting surveys to determine the boundaries of a potential infested zone, and monitoring surveys for prevalence estimation when measuring the effectiveness of eradication measures or for the confirmation of a low pest prevalence area. For each type of survey, the survey parameters are introduced and their interactions analysed showing the importance of the assumptions that are taken for each one of them: (i) the aims of the survey are defined as achieving a certain level of confidence of detecting a given pest prevalence (design prevalence), this reflects the trade-off between the acceptable level of the risk and availability of resources that determine the strength of the evidence to support the conclusion of the survey; (ii) the target population is described by its structure and size, including the risk factors; and (iii) the method sensitivity is defined as the combination of the sampling effectiveness and the diagnostic sensitivity for each inspection unit. EFSA's RiPEST and RiBESS+ tools 1 are introduced for calculating the sample size using the survey parameters as input values for a statistically sound and risk-based survey design. The mathematical principles behind the tools are in line with the International Standards for Phytosanitary Measures. The survey design is flexible and can be tailored to each pest and specific situation in the Member States. Once the survey is implemented following this approach, the 1 https://r4eu.efsa.europa.eu/ | Keywords: | confidence level;delimiting survey;design prevalence;detection survey;methodsensitivity;monitoring survey;target population | Document URI: | http://hdl.handle.net/1942/48024 | ISSN: | 2397-8325 | DOI: | 10.2903/sp.efsa.2025.en-9788 | Rights: | European Food Safety Authority, 2025Reproduction is authorised provided the source is acknowledged EFSA may include images or other content for which it does not hold copyright. In such cases,EFSA indicates the copyright holder and users should seek permission to reproduce the contentfrom the original source.Figure 3: © Antonio Vicent Civera; Figures 4 and 14: © NVWA, NL; Figure 13: © EPPO GlobalDatabase; Figure 15: © Hugh Evans, Forest Research, UK. | Category: | A2 | Type: | Journal Contribution |
| Appears in Collections: | Research publications |
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| EFSA Supporting Publications - 2025 - - Update of general guidelines for statistically sound and risk‐based surveys of.pdf | Published version | 6.93 MB | Adobe PDF | View/Open |
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