Progress of Applying Censored Data Analysis on the Estimation of Foodborne Pathogen Contamination

Abstract

Abstract: The determination of foodborne pathogen concentration is one of the important prerequisites for implementing the quantitative microbial risk assessment (QMRA). The existence of censored data is prone to the bias in the estimation of the contamination level of pathogens. This paper conducted a comprehensive review of relevant literature to outline the analysis of censored data in the quantitative modeling of foodborne pathogens by introducing the classification of censored data and its common analysis methods. Finally, based on the variability and uncertainty in quantitative estimation of foodborne pathogen contamination, the future work on risk monitoring, risk assessment, and risk communication are prospected.

Key words: foodborne pathogen, censored data, quantitative estimation, risk assessment

CLC Number:

TS201.3

References

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