About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

Critical review of methods for risk ranking of food related hazards, based on risks for human health

From

Wageningen University & Research1

Newcastle University2

National Food Institute, Technical University of Denmark3

Research Group for Risk Benefit, National Food Institute, Technical University of Denmark4

Division of Risk Assessment and Nutrition, National Food Institute, Technical University of Denmark5

Food and Environmental Research Agency6

This study aimed to critically review methods for ranking risks related to food safety and dietary hazards on the basis of their anticipated human health impacts. A literature review was performed to identify and characterize methods for risk ranking from the fields of food, environmental science and socio-economic sciences.

The review used a predefined search protocol, and covered the bibliographic databases Scopus, CAB Abstracts, Web of Sciences, and PubMed over the period 1993-2013. All references deemed relevant, on the basis of of predefined evaluation criteria, were included in the review, and the risk ranking method characterized.

The methods were then clustered - based on their characteristics - into eleven method categories. These categories included: risk assessment, comparative risk assessment, risk ratio method, scoring method, cost of illness, health adjusted life years, multi-criteria decision analysis, risk matrix, flow charts/decision trees, stated preference techniques and expert synthesis.

Method categories were described by their characteristics, weaknesses and strengths, data resources, and fields of applications. It was concluded there is no single best method for risk ranking. The method to be used should be selected on the basis of risk manager/assessor requirements, data availability, and the characteristics of the method.

Recommendations for future use and application are provided.

Language: English
Publisher: Taylor & Francis
Year: 2018
Pages: 178-193
ISSN: 15497852 and 10408398
Types: Journal article
DOI: 10.1080/10408398.2016.1141165
ORCIDs: Poulsen, Morten , Korsgaard, Helle , Bredsdorff, Lea and Nauta, Maarten

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis