A farm-to-fork stochastic simulation model of pork-borne salmonellosis in humans: Lessons for risk ranking
| Autor: | Paul E. McNamara, Gay Y. Miller, Xuanli Liu, David A. Barber |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Economics and Econometrics
Computer science business.industry Best practice Geography Planning and Development Policy analysis Food safety EconLit Risk analysis (engineering) Food processing Food systems Animal Science and Zoology Marketing Risk assessment business Agronomy and Crop Science Food Science Agribusiness |
| Zdroj: | Agribusiness. 23:157-172 |
| ISSN: | 1520-6297 0742-4477 |
| DOI: | 10.1002/agr.20115 |
| Popis: | A food systems perspective offers many appealing analytic features to food safety researchers with an interest in the design and targeting of effective and efficient policy responses to the risks posed by foodborne pathogens. These features include the ability to examine comparative questions such as whether it is more efficient to target food safety interventions on-farm or in the food processing plant. Using the example of a farm-to-fork stochastic simulation model of Salmonella in the pork production and consumption system, the authors argue the feasibility of such a food systems approach for food-safety risk assessment and policy analysis. They present an overview of the farm-to-fork model and highlight key assumptions and methods employed. Lessons from their experience in constructing a farm-to-fork stochastic simulation model are derived for consideration in other food safety risk assessment efforts and for researchers interested in developing “best practice” benchmarks in the area of food safety risk assessments. [EconLit Citations: Q18, I18, I12]. © 2007 Wiley Periodicals, Inc. Agribusiness 23: 157–172, 2007. |
| Databáze: | OpenAIRE |
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