Principles for conduct of pest risk analyses: Report of an expert workshop

Published

Journal Article

The North American Free Trade Agreement (NAFTA) and the General Agreement on Tariffs and Trade (GATT) have focused attention on risk assessment of potential insect, weed, and animal pests and diseases of livestock. These risks have traditionally been addressed through quarantine protocols ranging from limits on the geographical areas from which a product may originate, postharvest disinfestation procedures like fumigation, and inspections at points of export and import, to outright bans. To ensure that plant and animal protection measures are not used as nontariff trade barriers, GATT and NAFTA require pest risk analysis (PRA) to support quarantine decisions. The increased emphasis on PRA has spurred multiple efforts at the national and international level to design frameworks for the conduct of these analyses. As approaches to pest risk analysis proliferate, and the importance of the analyses grows, concerns have arisen about the scientific and technical conduct of pest risk analysis. In January of 1997, the Harvard Center for Risk Analysis (HCRA) held an invitation-only workshop in Washington, D.C. to bring experts in risk analysis and pest characterization together to develop general principles for pest risk analysis. Workshop participants examined current frameworks for PRA, discussed strengths and weaknesses of the approaches, and formulated principles, based on years of experience with risk analysis in other setting and knowledge of the issues specific to analysis of pests. The principles developed highlight the both the similarities of pest risk analysis to other forms of risk analysis, and its unique attributes.

Full Text

Duke Authors

Cited Authors

  • Gray, GM; Allen, JC; Burmaster, DE; Gage, SH; Hammitt, JK; Kaplan, S; Keeney, RL; Morse, JG; North, DW; Nyrop, JP; Stahevitch, A; Williams, R

Published Date

  • December 1, 1998

Published In

Volume / Issue

  • 18 / 6

Start / End Page

  • 773 - 780

International Standard Serial Number (ISSN)

  • 0272-4332

Digital Object Identifier (DOI)

  • 10.1023/B:RIAN.0000005922.65955.69

Citation Source

  • Scopus