Published in

Springer Verlag, Veterinary Research Communications, S2(29), p. 107-112

DOI: 10.1007/s11259-005-0021-5

Links

Tools

Export citation

Search in Google Scholar

Probabilistic Models for Food-Borne Disease Risk Assessment

Journal article published in 2005 by M. Trevisani ORCID, R. Rosmini
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Risk assessment is a tool used by manufacturers, governmental, or regulatory bodies to evaluate the safety of food production systems and decide on strategies to protect consumers. This article presents a general approach to the use of probabilistic models to assess the risk related to specific hazards in some categories of food. It discusses their value in organising and analysing the scientific knowledge about the factors that most affect risk along the food production chain, but also highlights the data gaps that currently hamper accurate risk assessment.