Literature DB >> 12076037

A simple, spreadsheet-based, food safety risk assessment tool.

Thomas Ross1, John Sumner.   

Abstract

The development and use of a simple tool for food safety risk assessment is described. The tool is in spreadsheet software format and embodies established principles of food safety risk assessment, i.e., the combination of probability of exposure to a food-borne hazard, the magnitude of hazard in a food when present, and the probability and severity of outcomes that might arise from that level and frequency of exposure. The tool requires the user to select from qualitative statements and/or to provide quantitative data concerning factors that that will affect the food safety risk to a specific population, arising from a specific food product and specific hazard, during the steps from harvest to consumption. The spreadsheet converts the qualitative inputs into numerical values and combines them with the quantitative inputs in a series of mathematical and logical steps using standard spreadsheet functions. Those calculations are used to generate indices of the public health risk. Shortcomings of the approach are discussed, including the simplifications and assumptions inherent in the mathematical model, the inadequacy of data currently available, and the lack of consideration of variability and uncertainty in the inputs and outputs of the model. Possible improvements are suggested. The model underpinning the tool is a simplification of the harvest to consumption pathway, but the tool offers a quick and simple means of comparing food-borne risks from diverse products, and has utility for ranking and prioritising risks from diverse sources. It can be used to screen food-borne risks and identify those requiring more rigorous assessment. It also serves as an aid to structured problem solving and can help to focus attention on those factors in food production, processing, distribution and meal preparation that most affect food safety risk, and that may be the most appropriate targets for risk management strategies.

Mesh:

Year:  2002        PMID: 12076037     DOI: 10.1016/s0168-1605(02)00061-2

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  6 in total

1.  Spoilage Bacteria Identification and Food Safety Risk Assessment of Whole Soybean Curd.

Authors:  Chenzhi Wang; Qinling Du; Tianwei Yao; Hongmin Dong; Dingtao Wu; Wen Qin; Dele Raheem; Qing Zhang
Journal:  Indian J Microbiol       Date:  2019-01-29       Impact factor: 2.461

2.  Assessment of Microbiological Quality of Fresh Vegetables and Oysters Produced in Buenos Aires Province, Argentina.

Authors:  Robertina Viviana Cammarata; Melina Elizabeth Barrios; Sofía Micaela Díaz; Guadalupe García López; María Susana Fortunato; Carolina Torres; María Dolores Blanco Fernández; Viviana Andrea Mbayed
Journal:  Food Environ Virol       Date:  2021-08-27       Impact factor: 2.778

Review 3.  Status and future of Quantitative Microbiological Risk Assessment in China.

Authors:  Q L Dong; G C Barker; L G M Gorris; M S Tian; X Y Song; P K Malakar
Journal:  Trends Food Sci Technol       Date:  2015-03       Impact factor: 12.563

Review 4.  Methods to perform risk-based inspections of food companies.

Authors:  E D van Asselt; Y Hoffmans; E F Hoek-van den Hil; H J van der Fels-Klerx
Journal:  J Food Sci       Date:  2021-11-18       Impact factor: 3.693

5.  Assessed versus Perceived Risks: Innovative Communications in Agri-Food Supply Chains.

Authors:  Fabio G Santeramo; Antonio Bevilacqua; Mariangela Caroprese; Barbara Speranza; Maria Giovanna Ciliberti; Marco Tappi; Emilia Lamonaca
Journal:  Foods       Date:  2021-05-03

6.  Risk Assessment of Histamine in Chilled, Frozen, Canned and Semi-Preserved Fish in Morocco; Implementation of Risk Ranger and Recommendations to Risk Managers.

Authors:  Oleya El Hariri; Nourredine Bouchriti; Rachid Bengueddour
Journal:  Foods       Date:  2018-09-25
  6 in total

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