Characterizing uncertainty when evaluating risk management metrics: Risk assessment modeling of Listeria monocytogenes contamination in ready-to-eat deli meats

International Journal of Food Microbiology

Volumn 162, Issue 3, 2013, Pages 266-275

  Gallagher, Daniel ^a   Ebel, Eric D ^b   Gallagher, Owen ^a   LaBarre, David ^b   Williams, Michael S ^b   Golden, Neal J ^b   Pouillot, Régis ^c   Dearfield, Kerry L ^b   Kause, Janell ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b U S DEPARTMENT OF AGRICULTURE   (United States)

^c CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

Author keywords

Appropriate level of protection; Dose response; Listeria; Performance objective; Risk metric

Indexed keywords

ARTICLE; BACTERIAL COUNT; BACTERIAL GROWTH; BACTERIUM CONTAMINATION; COLONY FORMING UNIT; CONSUMER; DOSE RESPONSE; EVALUATION; FOOD INTAKE; FOOD PROCESSING; FOOD SAFETY; LISTERIA MONOCYTOGENES; MEAT; METRIC SYSTEM; MONTE CARLO METHOD; NONHUMAN; PROBABILITY; PRODUCT SAFETY; READY TO EAT DELI MEAT; RISK ASSESSMENT; RISK MANAGEMENT; SIMULATION;

EID: 84874545834     PISSN: 01681605     EISSN: 18793460     Source Type: Journal    
DOI: 10.1016/j.ijfoodmicro.2013.01.016     Document Type: Article

References (37)

1. Brent R. Algorithms for Minimization without Derivatives 1973, Prentice-Hall, Englewood Cliffs, NJ.
2. Burmaster D.E., Lloyd K.J., Thompson K.M. The need for new methods to back calculate soil cleanup targets in interval and probabilistic cancer risk assessments. Human and Ecological Risk Assessment 1995, 1:89-100.
3. Cates S.C., Kosa K.M., Karns S.A., Godwin S.L., Chambers D. Consumer storage practices for refrigerated ready-to-eat foods: results of a web-enabled survey. Food Protection Trends 2007, 27:530-543.
4. Cochran W.G. Estimation of bacterial densities by means of the most probable number. Biometrics 1950, 6:105-116.
5. Codex Alimentarius Commission Principles and guidelines for the conduct of microbiological risk management (MRM). Codex Alimentarius Commission/GL-63 2007, FAO, Rome.
6. Crouch E.A. Demonstration of the Application of the C. perfringens Risk Assessment for Estimation of Risk Management Metrics 2008, U.S. Department of Agriculture Report, Cambridge, MA, Available at http://www.fsis.usda.gov/PDF/CPerfringens_Risk_Assess_Metrics_Report.pdf. Accessed March 18, 2012.
7. Crouch E.A., LaBarre D., Golden N.J., Kause J.R., Dearfield K.L. Application of quantitative microbial risk assessment for estimation of risk management metrics: Clostridium perfringens in ready-to-eat and partially cooled meat and poultry products as an example. Journal of Food Protection 2009, 72:2151-2161.
8. Cullen A.C., Frey H.C. Probabilistic Techniques in Exposure Assessment 1999, Plenum Press, New York.
9. Draughon A.F. A collaborative analysis/risk assessment of Listeria monocytogenes in ready-to-eat processed meat and poultry collected in four FoodNet states. International Association for Food Protection 93rd Annual Meeting, Calgary, Alberta 2006.
10. Endrikat S., Gallagher D., Pouillot R., Quessenberry H.H., LaBarre D., Schroeder C.M., Kause J. A comparative risk assessment for Listeria monocytogenes in prepackaged versus retail-sliced deli meat. Journal of Food Protection 2010, 73:612-619.
11. FAO/WHO Risk assessment of Listeria monocytogenes in ready to eat foods - technical report. Microbiological Risk Assessment Series, No. 5 2004, Food and Agriculture Organization of the United Nations and World Health Organization, Available at http://www.fao.org/docrep/010/y5394e/y5394e00.htm. Accessed March 18, 2012.
12. FDA-FSIS Quantitative assessment of relative risk to public health from foodborne Listeria monocytogenes among selected categories of ready-to-eat foods Available at, (Accessed March 19, 2012). http://www.fsis.usda.gov/Science/Risk_Assessments/index.asp#RTE.
13. FSIS Isolation and identification of Listeria monocytogenes from red meat, poultry, egg, and environmental samples Available at, (Accessed March 18, 2012). http://www.fsis.usda.gov/PDF/MLG-8.pdf.
14. FSIS The FSIS microbiological testing program for ready-to-eat (RTE) meat and poultry products, 1990-2010 Available at, (Accessed March 19, 2012). http://www.fsis.usda.gov/Science/Micro_Testing_RTE/.
15. FSIS Comparative risk assessment for Listeria monocytogenes in ready-to-eat meat and poultry deli meats Available at, (Accessed March 19, 2012). http://www.fsis.usda.gov/Science/Risk_Assessments/index.asp#RTE.
16. Geornaras I., Skandamis P.N., Belk K.E., Scanga J.A., Kendall P.A., Smith G.C., Sofos J.N. Postprocess control of Listeria monocytogenes on commercial frankfurters formulated with and without antimicrobials and stored at 10°C. Journal of Food Protection 2006, 69:53-61.
17. Gombas D.E., Chen Y., Clavero R.S., Scott V.N. Survey of Listeria monocytogenes in ready-to-eat foods. Journal of Food Protection 2003, 66:559-569.
18. Haas C.N., Rose J.B., Gerba C.P. Quantitative Microbial Risk Analysis 1999, Wiley, New York.
19. Havelaar A.H., Nauta M.J., Jansen J.T. Fine-tuning food safety objectives and risk assessment. International Journal of Food Microbiology 2004, 93:11-29.
20. IDDBA What's in Store 2009 Madison, WI. Available at, (Accessed March 26, 2012). http://www.marketresearch.com/International-Dairy-Deli-Bakery-Association-v1381/Store-1912858/.
21. Knaus J. Snowfall: easier cluster computing (based on snow). R package version 1.84 2010, (Available at http://CRAN.R-project.org/package=snowfall. Accessed March 17, 2012).
22. Kosa K.M., Cates S.C., Karns S., Godwin S.L., Chambers D. Consumer knowledge and use of open dates: results of a WEB-based survey. Journal of Food Protection 2007, 70:1213-1219.
23. Limpert E., Stahel W.A., Abbt M. Log-normal distributions across the sciences: keys and clues. BioScience 2001, 51:341-352.
24. Nadarajah S., Kotz S. R programs for computing truncated distributions. Journal of Statistical Software 2006, 16. (Code Snippet 2).
25. Pouillot R., Lubran M.B., Cates S.C., Dennis S. Estimating parametric distributions of storage time and temperature of ready-to-eat foods for U.S. households. Journal of Food Protection 2010, 73:312-321.
26. Pradhan A., Ivanek R., Grohn Y.T., Geornaras I., Sofos J.N., Wiedmann M. Quantitative risk assessment for Listeria monocytogenes in selected categories of deli meats: impact of lactate and diacetate. Journal of Food Protection 2009, 72:978-989.
27. Press W.H., Teukolsky S.A., Vetterling W.T., Flannery B.P. Numerical Recipes 2007, Cambridge University Press, Cambridge. 3rd ed.
28. R Development Core Team R: A Language and Environment for Statistical Computing 2011, R Foundation for Statistical Computing, (Available at: http://www.R-project.org, Accessed on March 18, 2012).
29. Ratkowsky D.A., Olley J., McMeekin T.A., Ball A. Relationship between temperature and growth rate of bacterial cultures. Journal of Bacteriology 1982, 149:1-5.
30. Rieu E., Duhem K., Vindel E., Sanaa M. Food safety objectives should integrate the variability of the concentration of pathogen. Risk Analysis 2007, 27:373-386.
31. Scallan E., Hoekstra R.M., Angulo F.J., Tuaxe R.V., Widdowson M., Roy S.L., Jones J.L., Griffin P.M. Foodborne illness acquired in the United States - major pathogens. Emerging Infectious Diseases 2011, 17:7-12.
32. Shorten P.R., Pleasants A.B., Soboleva T.K. Estimation of microbial growth using population measurements subject to a detection limit. International Journal of Food Microbiology 2006, 108:369-375.
33. U.S. Department of Agriculture, Food Safety and Inspection Service 9 CFR Part 430. Control of Listeria monocytogenes in ready-to-eat meat and poultry products; final rule. Federal Register 2003, 68:34208-34254.
34. van Schothorst M., Zwietering M.H., Ross T., Buchanan R.L., Cole M.B. Relating microbiological criteria to food safety objectives and performance objectives. Food Control 2009, 20:967-979.
35. Vose D. Risk Analysis: A Quantitative Guide 2008, J. Wiley, West Sussex. 3rd ed.
36. Williams M.S., Ebel E.D., Vose D. Framework for microbial food-safety risk assessments amenable to Bayesian modeling. Risk Analysis 2011, 31(4):548-565.
37. Wyss G.D., Jorgensen K.H. A user's guide to LHS: Sandia's latin hypercube sampling software. Sandia National Laboratories Technical Report SAND98-0210, Albuquerque, NM 1998, (Available at http://prod.sandia.gov/techlib/access-control.cgi/1998/980210.pdf. Accessed March 18, 2012).