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Category: Applied and Industrial Microbiology; Food Microbiology
Using Risk Analysis for Microbial Food Safety Regulatory Decision Making, Page 1 of 2
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A risk analysis approach emphasizes a shared responsibility for communication about food safety issues by all interested parties including government regulatory officials, industry, consumers, and academics. The three components of risk analysis are risk management, risk assessment, and risk communication. This chapter discusses the use of a risk analysis framework within a food safety context with emphasis on microbiological (biological) hazards, how risk analysis has been implemented in U.S. regulatory agencies and international organizations, and future needs to strengthen the use of risk analysis to help solve food safety issues. Risk analysis requires the interaction of individuals with diverse skills and perspectives, including expertise in communication, coordination, project management, scientific knowledge, and skills in data analysis and modeling. To efficiently allocate resources to address food safety issues, it is vital to establish annual food safety risk management priorities. Risk analysis is emerging as a public health tool that promises to provide a sound scientific basis for developing national and international standards and guidelines for food safety and for supporting risk-based policies and practices to prevent food-borne illness.
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A risk management framework. Source: Dennis et al., 2006 .
Conceptualized flow chart detailing the conduct of quantitative microbial risk assessments within the risk analysis framework at FSIS. The process begins with identification and annual prioritization of food safety problems after which risk assessments may be initiated to inform decision making by risk managers. The chart depicts risk assessment (shaded boxes) as part of a larger risk analysis framework. Asterisks (*) indicate those points at which input is solicited from stakeholders and others of the public. Adapted from USDA/FSIS, 2003b .
Baseline and truncated distributions of the frequency of home refrigerator temperatures used in “what if” scenarios for the LMRA ( DHHS/FDA and USDA/FSIS, 2003 ).
Two-dimensional matrix of food categories based on cluster analysis of predicted per serving and per annum relative rankings from the Listeria monocytogenes Risk Assessment. Source: DHHS/FDA and USDA/FSIS, 2003 .
Risk analysis activities and responsible parties a
Risk management questions addressed in selected quantitative microbial risk assessments
Examples of risk management decisions
Predicted mean annual number of illnesses associated with the consumption of V. parahaemolyticus in raw oysters d