Society For Risk Analysis Annual Meeting 2015

Session Schedule & Abstracts

* Disclaimer: All presentations represent the views of the authors, and not the organizations that support their research. Please apply the standard disclaimer that any opinions, findings, and conclusions or recommendations in abstracts, posters, and presentations at the meeting are those of the authors and do not necessarily reflect the views of any other organization or agency. Meeting attendees and authors should be aware that this disclaimer is intended to apply to all abstracts contained in this document. Authors who wish to emphasize this disclaimer should do so in their presentation or poster. In an effort to make the abstracts as concise as possible and easy for meeting participants to read, the abstracts have been formatted such that they exclude references to papers, affiliations, and/or funding sources. Authors who wish to provide attendees with this information should do so in their presentation or poster.

Common abbreviations


  FSIS’s Use of QRAs to Guide Food Safety Policies and Programs Related to Salmonella. Kause JR*; USDA-Food Safety and Inspection Service

Abstract: Salmonella is the most common cause of bacterial foodborne illness in the United States, resulting in an estimated 1 million illnesses, 19,000 hospitalizations, and 350 deaths each year. Salmonella is frequently associated with raw meat and poultry products. Both the public and private sectors have undertaken initiatives to mitigate the risk of foodborne illness from this pathogen in these products. In the mid-1990s, the U.S. Department of Agriculture’s Food Safety and Inspection Service (FSIS) substantially modernized its approach to inspection with the adoption of the Hazard Analysis and Critical Control Point-Pathogen Reduction rule. Central to this effort was the commitment to develop and use quantitative microbial risk assessments (QMRAs) to inform food safety policies starting in the early 2000s. FSIS has since developed several types of QMRAs, including risk-ranking models used to identify which commodities pose the greatest risk of salmonellosis and attribution-based QMRAs used to establish industry performance standards designed to achieve Healthy People 2020 goals. Perhaps the most significant was the recent development of a novel QMRA that provided the public health basis for modernizing FSIS’s approach to poultry slaughter inspection. This QMRA was made possible with information on Salmonella in poultry correlated with detailed data on FSIS’s inspection activities. Mining this data was made possible with the creation of a robust integrated information system – FSIS’s Public Health Information System. Agency investments in data collection, risk assessment, and IT systems have enabled FSIS to move to an increasingly science-based, data-driven, and risk-based approach to food safety. To further these efforts, both public and private sectors are exploring possibilities for greater data sharing and collaboration in the development of robust QMRAs to further evaluate the factors that influence the risk of salmonellosis associated with meat and poultry products.

.  Risk management . Alhamed KA*; nova college

Abstract: As risk management

  Probabilistic risk assessment of the exposure to formaldehyde via fish consumption in Taiwan. Chiang SY*, Chen SR, Yang WT, Liu JM, Wu KY; China Medical University and National Taiwan University

Abstract: Formaldehyde, a known human carcinogen, is reported present in fish products, probably resulting from the degradation of trimethylamine N-oxide. Its potential health effects from fish consumption are of great public concern. This study assessed the potential health risk of formaldehyde due to fish consumption in Taiwan. The analysis data of residual formaldehyde in imported fish products were cited from a report released by Taiwan Food and Drug Administration Bureau. Monte Carlo simulation was used to assess the distribution of the total average lifetime daily dose by adopting the intake rates of the fish products published National Health Research Institutes of Taiwan. Based on the current ADI of 0.15 mg/kg bw/day for formaldehyde, the upper bound of 95% confidence interval of hazard index is calculated to be 2.1. Our data suggest that there will be some risk due to exposures to formaldehyde for those who frequently consume fish products in Taiwan.

   Cox LA   

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