Guidance on quantitative pest risk assessment.
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| Title: | Guidance on quantitative pest risk assessment. |
|---|---|
| Authors: | Jeger, Michael (AUTHOR), Bragard, Claude (AUTHOR), Caffier, David (AUTHOR), Candresse, Thierry (AUTHOR), Chatzivassiliou, Elisavet (AUTHOR), Dehnen-Schmutz, Katharina (AUTHOR), Grégoire, Jean-Claude (AUTHOR), Jaques Miret, Josep Anton (AUTHOR), MacLeod, Alan (AUTHOR), Navajas Navarro, Maria (AUTHOR), Niere, Björn (AUTHOR), Parnell, Stephen (AUTHOR), Potting, Roel (AUTHOR), Rafoss, Trond (AUTHOR), Rossi, Vittorio (AUTHOR), Urek, Gregor (AUTHOR), Van Bruggen, Ariena (AUTHOR), Van Der Werf, Wopke (AUTHOR), West, Jonathan (AUTHOR), Winter, Stephan (AUTHOR) |
| Source: | EFSA Journal. Aug2018, Vol. 16 Issue 8, p1-N.PAG. 86p. |
| Subject Terms: | *Food safety, *Risk assessment of pesticides, Risk communication, Uncertainty, Monte Carlo method |
| Abstract: | This Guidance describes a two-phase approach for a fit-for-purpose method for the assessment of plant pest risk in the territory of the EU. Phase one consists of pest categorisation to determine whether the pest has the characteristics of a quarantine pest or those of a regulated non-quarantine pest for the area of the EU. Phase two consists of pest risk assessment, which may be requested by the risk managers following the pest categorisation results. This Guidance provides a template for pest categorisation and describes in detail the use of modelling and expert knowledge elicitation to conduct a pest risk assessment. The Guidance provides support and a framework for assessors to provide quantitative estimates, together with associated uncertainties, regarding the entry, establishment, spread and impact of plant pests in the EU. The Guidance allows the effectiveness of risk reducing options (RROs) to be quantitatively assessed as an integral part of the assessment framework. A list of RROs is provided. A two-tiered approach is proposed for the use of expert knowledge elicitation and modelling. Depending on data and resources available and the needs of risk managers, pest entry, establishment, spread and impact steps may be assessed directly, using weight of evidence and quantitative expert judgement (first tier), or they may be elaborated in substeps using quantitative models (second tier). An example of an application of the first tier approach is provided. Guidance is provided on how to derive models of appropriate complexity to conduct a second tier assessment. Each assessment is operationalised using Monte Carlo simulations that can compare scenarios for relevant factors, e.g. with or without RROs. This document provides guidance on how to compare scenarios to draw conclusions on the magnitude of pest risks and the effectiveness of RROs and on how to communicate assessment results. [ABSTRACT FROM AUTHOR] |
| Copyright of EFSA Journal is the property of European Food Safety Authority and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 131176727 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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Aug2018, Vol. 16 Issue 8, p1-N.PAG. 86p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Food+safety%22">Food safety</searchLink><br />*<searchLink fieldCode="DE" term="%22Risk+assessment+of+pesticides%22">Risk assessment of pesticides</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+communication%22">Risk communication</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty%22">Uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This Guidance describes a two-phase approach for a fit-for-purpose method for the assessment of plant pest risk in the territory of the EU. Phase one consists of pest categorisation to determine whether the pest has the characteristics of a quarantine pest or those of a regulated non-quarantine pest for the area of the EU. Phase two consists of pest risk assessment, which may be requested by the risk managers following the pest categorisation results. This Guidance provides a template for pest categorisation and describes in detail the use of modelling and expert knowledge elicitation to conduct a pest risk assessment. The Guidance provides support and a framework for assessors to provide quantitative estimates, together with associated uncertainties, regarding the entry, establishment, spread and impact of plant pests in the EU. The Guidance allows the effectiveness of risk reducing options (RROs) to be quantitatively assessed as an integral part of the assessment framework. A list of RROs is provided. A two-tiered approach is proposed for the use of expert knowledge elicitation and modelling. Depending on data and resources available and the needs of risk managers, pest entry, establishment, spread and impact steps may be assessed directly, using weight of evidence and quantitative expert judgement (first tier), or they may be elaborated in substeps using quantitative models (second tier). An example of an application of the first tier approach is provided. Guidance is provided on how to derive models of appropriate complexity to conduct a second tier assessment. Each assessment is operationalised using Monte Carlo simulations that can compare scenarios for relevant factors, e.g. with or without RROs. This document provides guidance on how to compare scenarios to draw conclusions on the magnitude of pest risks and the effectiveness of RROs and on how to communicate assessment results. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of EFSA Journal is the property of European Food Safety Authority and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=131176727 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2903/j.efsa.2018.5350 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 86 StartPage: 1 Subjects: – SubjectFull: Food safety Type: general – SubjectFull: Risk assessment of pesticides Type: general – SubjectFull: Risk communication Type: general – SubjectFull: Uncertainty Type: general – SubjectFull: Monte Carlo method Type: general Titles: – TitleFull: Guidance on quantitative pest risk assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jeger, Michael – PersonEntity: Name: NameFull: Bragard, Claude – PersonEntity: Name: NameFull: Caffier, David – PersonEntity: Name: NameFull: Candresse, Thierry – PersonEntity: Name: NameFull: Chatzivassiliou, Elisavet – PersonEntity: Name: NameFull: Dehnen-Schmutz, Katharina – PersonEntity: Name: NameFull: Grégoire, Jean-Claude – PersonEntity: Name: NameFull: Jaques Miret, Josep Anton – PersonEntity: Name: NameFull: MacLeod, Alan – PersonEntity: Name: NameFull: Navajas Navarro, Maria – PersonEntity: Name: NameFull: Niere, Björn – PersonEntity: Name: NameFull: Parnell, Stephen – PersonEntity: Name: NameFull: Potting, Roel – PersonEntity: Name: NameFull: Rafoss, Trond – PersonEntity: Name: NameFull: Rossi, Vittorio – PersonEntity: Name: NameFull: Urek, Gregor – PersonEntity: Name: NameFull: Van Bruggen, Ariena – PersonEntity: Name: NameFull: Van Der Werf, Wopke – PersonEntity: Name: NameFull: West, Jonathan – PersonEntity: Name: NameFull: Winter, Stephan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 18314732 Numbering: – Type: volume Value: 16 – Type: issue Value: 8 Titles: – TitleFull: EFSA Journal Type: main |
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