Quantitative Microbial Risk Assessment for in Ground Meat Products in Korea.

This study evaluated risk in ground meat products. The prevalence in ground meat products was investigated. To develop the predictive model, survival data of were collected at 4°C-30°C during storage, and the data were fitted using the Weibull model. In addition, the storage temperature and time of ground meat products were investigated during distribution. The consumption amount and frequency of ground meat products were investigated by interviewing 1,500 adults. The prevalence, temperature, time, and consumption data were analyzed by @RISK to generate probabilistic distributions. In 224 samples of ground meat products, there were no -contaminated samples. A scenario with a series of probabilistic distributions, a predictive model and a dose-response model was prepared to calculate the probability of illness, and it showed that the probability of foodborne illness caused by per person per day from ground meat products was 5.68×10, which can be considered low risk.