A probabilistic analysis of Clostridium perfringens growth during food service operations.
The purpose of this study was threefold: first, the study was designed to illustrate the use of data and information collected in food safety surveys in a quantitative risk assessment. In this case, the focus was on the food service industry; however, similar data from other parts of the food chain could be similarly incorporated. The second objective was to quantitatively describe and better understand the role that the food service industry plays in the safety of food. The third objective was to illustrate the additional decision-making information that is available when uncertainty and variability are incorporated into the modelling of systems.
Fazil
Aamir M
AM
Health Canada, Laboratory for Foodborne Zoonoses, Guelph, Ontario. Aamir_Fazil@hc-sc.gc.ca
Ross
Tom
T
Paoli
Greg
G
Vanderlinde
Paul
P
Desmarchelier
Patricia
P
Lammerding
Anna M
AM
D003016:Clostridium perfringens / Q000254:growth & development*; D003257:Consumer Product Safety; D005511:Food Handling / Q000379:methods*; D005516:Food Microbiology; D005522:Food Services; D008954:Models, Biological; D009010:Monte Carlo Method; D018570:Risk Assessment; D013696:Temperature; D013997:Time Factors