2014
DOI: 10.2903/j.efsa.2014.3734
|View full text |Cite
|
Sign up to set email alerts
|

Guidance on Expert Knowledge Elicitation in Food and Feed Safety Risk Assessment

Abstract: Quantitative risk assessments facilitate the decisions of risk managers. In the EU, risk assessment in food and feed safety is the responsibility of the European Food Safety Authority (EFSA). Quantitative risk models should be informed by systematically reviewed scientific evidence, however, in practice empirical evidence is often limited: in such cases it is necessary to turn to expert judgement. Psychological research has shown that unaided expert judgement of the quantities required for risk modelling -and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
103
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 196 publications
(103 citation statements)
references
References 130 publications
(120 reference statements)
0
103
0
Order By: Relevance
“…Experts have relevant knowledge about these issues and their impact on future resistance rates, which should be included in forecasts. Expert forecasts can be limited by heuristics and biases, but structured elicitation approaches, such as the Classical Model, are a way to minimize their impact on results [41].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Experts have relevant knowledge about these issues and their impact on future resistance rates, which should be included in forecasts. Expert forecasts can be limited by heuristics and biases, but structured elicitation approaches, such as the Classical Model, are a way to minimize their impact on results [41].…”
Section: Discussionmentioning
confidence: 99%
“…Experts can also directly supply forecasted values, a technique that is especially useful when historical data are not available or have limited predictive value [39]. Expert judgment can be subject to a range of biases [40], but a set of techniques called “expert elicitation” enable experts to provide estimates and quantify their uncertainty about parameters of interest—including projecting future events and values—in a way that minimizes opportunities for bias [38,41,42]. One such method, the Classical Model of structured expert judgment, has been used in over 80 applications, including estimating the burden of foodborne disease [4345] and forecasting volcanic activity on the island of Montserrat [4648], the introduction of invasive species in the Great Lakes [49], and future sea level rise caused by ice sheet melt [50].…”
Section: Introductionmentioning
confidence: 99%
“…the metadata, are needed to fill these data gaps for RBA. If observational or experimental data are lacking, another option is to gather information through expert elicitation (Cooke, 1991;EFSA, 2014a;EPA, 2009). This technique is already used in microbial risk assessment (Albert et al, 2012;Pujol, Johnson, Magras, Albert, & Membré, 2015; Van der Fels-Klerx, Cooke, Nauta, Goossens, & Havelaar, 2005) and more generally in food safety (Hald et al, 2016).…”
Section: Data Availabilitymentioning
confidence: 99%
“…However, no recent data are reported, and the two studies mentioned above focused only on dairy cattle rather than cattle kept in an extensive production system, which has a different production cycle. A recent systematic literature review followed by expert knowledge elicitation [21] characterised the main reasons for slaughter of pregnant cattle as economic (e.g., low productivity), management-related (e.g., false-negative pregnancy diagnoses or pregnant cows being calmer than non-pregnant cows and thus resulting in fewer injuries in the herd), and health and welfare related (e.g., lameness, mastitis, disease control) [10].…”
Section: Introductionmentioning
confidence: 99%