Publication related to RSI or an RSI staff member

Development of a risk-ranking framework to evaluate potential high-threat microorganisms, toxins, and chemicals in food.

Through a cooperative agreement with the U.S. Food and Drug Administration, the Institute of Food Technologists developed a risk-ranking framework prototype to enable comparison of microbiological and chemical hazards in foods and to assist policy makers, risk managers, risk analysts, and others in determining the relative public health impact of specific hazard-food combinations. The prototype is a bottom-up system based on assumptions that incorporate expert opinion/insight with a number of exposure and hazard-related risk criteria variables, which are propagated forward with food intake data to produce risk-ranking determinations. The prototype produces a semi-quantitative comparative assessment of food safety hazards and the impacts of hazard control measures. For a specific hazard-food combination the prototype can produce a single metric: a final risk value expressed as annual pseudo-disability adjusted life years (pDALY). The pDALY is a harmonization of the very different dose-response relationships observed for chemicals and microbes. The prototype was developed on 2 platforms, a web-based user interface and an Analytica(R) model (Lumina Decision Systems, Los Gatos, Calif., U.S.A.). Comprising visual basic language, the web-based platform facilitates data input and allows use concurrently from multiple locations. The Analytica model facilitates visualization of the logic flow, interrelationship of input and output variables, and calculations/algorithms comprising the prototype. A variety of sortable risk-ranking reports and summary information can be generated for hazard-food pairs, showing hazard and dose-response assumptions and data, per capita consumption by population group, and annual p-DALY.

Authors

  • Newsome, R, Newsome R, Inst of Food Technologists, Chicago, IL 60607, USA. rlnewsome@ift.org

  • Tran, N, Tran N,

  • Paoli, G M, Paoli GM,

  • Jaykus, L A, Jaykus LA,

  • Tompkin, B, Tompkin B,

  • Miliotis, M, Miliotis M,

  • Ruthman, T, Ruthman T,

  • Hartnett, E, Hartnett E,

  • Busta, F F, Busta FF,

  • Petersen, B, Petersen B,

  • Shank, F, Shank F,

  • McEntire, J, McEntire J,

  • Hotchkiss, J, Hotchkiss J,

  • Wagner, M, Wagner M,

  • Schaffner, D W, Schaffner DW,

YEAR OF PUBLICATION: 2009
SOURCE: J Food Sci. 2009 Mar;74(2):R39-45. doi: 10.1111/j.1750-3841.2008.01042.x.
JOURNAL TITLE ABBREVIATION: J Food Sci
JOURNAL TITLE: Journal of food science
ISSN: 1750-3841 (Electronic) 0022-1147 (Linking)
VOLUME: 74
ISSUE: 2
PAGES: R39-45
PLACE OF PUBLICATION: United States
ABSTRACT:
Through a cooperative agreement with the U.S. Food and Drug Administration, the Institute of Food Technologists developed a risk-ranking framework prototype to enable comparison of microbiological and chemical hazards in foods and to assist policy makers, risk managers, risk analysts, and others in determining the relative public health impact of specific hazard-food combinations. The prototype is a bottom-up system based on assumptions that incorporate expert opinion/insight with a number of exposure and hazard-related risk criteria variables, which are propagated forward with food intake data to produce risk-ranking determinations. The prototype produces a semi-quantitative comparative assessment of food safety hazards and the impacts of hazard control measures. For a specific hazard-food combination the prototype can produce a single metric: a final risk value expressed as annual pseudo-disability adjusted life years (pDALY). The pDALY is a harmonization of the very different dose-response relationships observed for chemicals and microbes. The prototype was developed on 2 platforms, a web-based user interface and an Analytica(R) model (Lumina Decision Systems, Los Gatos, Calif., U.S.A.). Comprising visual basic language, the web-based platform facilitates data input and allows use concurrently from multiple locations. The Analytica model facilitates visualization of the logic flow, interrelationship of input and output variables, and calculations/algorithms comprising the prototype. A variety of sortable risk-ranking reports and summary information can be generated for hazard-food pairs, showing hazard and dose-response assumptions and data, per capita consumption by population group, and annual p-DALY.
LANGUAGE: eng
DATE OF PUBLICATION: 2009 Mar
DATE COMPLETED: 20090730
DATE REVISED: 20091119
MESH DATE: 2009/07/31 09:00
EDAT: 2009/03/28 09:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
LOCATION IDENTIFIER: 10.1111/j.1750-3841.2008.01042.x [doi]
OWNER: NLM

Related RSI Experts

Greg Paoli

CEO, Principal Risk Scientist

Greg Paoli is the CEO and Principal Risk Scientist at Risk Sciences International (RSI), a firm he co-founded in 2006 following the integration of his earlier consultancy, Decisionalysis Risk Consultants, with the consulting activities of the McLaughlin Centre for Population...
Read More about Greg Paoli

Emma Hartnett

Vice-President Risk Modelling and Simulation

Dr. Emma Hartnett is Vice-President, Risk Modelling and Simulation at Risk Sciences International (RSI), where she has been a foundational member since its inception in 2006. A globally recognized authority in quantitative risk assessment (QRA), she specializes in developing risk...
Read More about Emma Hartnett

Todd Ruthman

Vice-President Software and Modelling Solutions

Todd Ruthman serves as Vice‑President, Software and Modelling Solutions at Risk Sciences International (RSI) and has been with RSI since its founding in 2006. With a BASc in Systems Design Engineering from the University of Waterloo, Todd strives to understand the...
Read More about Todd Ruthman