
CHIP: Commodity based Hazard Identification Protocol for emerging diseases in plants and animals
Author(s) -
Bremmer Johan,
Swanenburg Ma,
Galen Michiel,
Hoek Maarten,
Luise Rau Marie,
Hennen Wil,
Benninga Jan,
Ge Lan,
Breukers Annemarie
Publication year - 2012
Publication title -
efsa supporting publications
Language(s) - English
Resource type - Journals
ISSN - 2397-8325
DOI - 10.2903/sp.efsa.2012.en-327
Subject(s) - commodity , identification (biology) , protocol (science) , hazard , computer science , chip , health hazard , business , biology , telecommunications , botany , ecology , medicine , environmental health , alternative medicine , finance , pathology
The excel tool was developed as an implementation of a commodity-based hazard identification protocol for biological hazards in plants and animals in the form of a decision support tree. The content of the decision tree is based on the results of a systematic review of pest and pathogen characteristics, a review of risk assessment schemes and on expert judgement. Application of the protocol results in an indication of the level of likelihood of entry of animal and plant pathogens/pests in the area of destination associated with the commodity/pathway, and it guides the decision regarding potential actions to be undertaken in the search for existing and emerging pathogens/pests. The excel tools contains three worksheets representing three levels. Level 0 concerns whether the commodity itself can turn into a pest, whether it can contain pests and pathogens, and whether it contains additional material that can be contaminated. The likelihood that a commodity contains pests and pathogens depends on the likelihood of pest association and survival before the commodity is transported to the country of destination, and the likelihood that the pest/pathogen will come into contact with local hosts in that country. In level 1, the likelihood of pest association and survival is elaborated and assessed for each pest/pathogen category, whereas in level 2 the likelihood that a biological hazard comes into contact with local host is assessed in greater detail. The tool includes an extension with a [commodity list derived from Combined Nomenclature (CN) classification with relevant characteristics, and a pathway model which enables the risk assessor to provide and structure the relevant information. The decision tree has been tested with six commodity case studies: three of plant origin and three of animal origin