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Topics in microbial risk assessment: dynamic flow tree process
H M Marks1, M E Coleman, C T Lin
1U.S. Department of Agriculture, Food Safety and Inspection Service, Washington, D.C., USA.
Summary
This study introduces a systematic microbial risk assessment framework for Escherichia coli O157:H7, crucial for public health. Findings show that even a small threshold significantly impacts illness risk estimations from contaminated food products.
Area of Science:
- Food safety
- Microbial risk assessment
- Quantitative microbial risk assessment
Background:
- Microbial risk assessment is an emerging scientific discipline.
- Escherichia coli O157:H7 poses a significant public health risk.
- Foodborne pathogens require robust risk evaluation methods.
Purpose of the Study:
- To present a systematic approach for microbial risk assessment.
- To examine key issues in conducting microbial risk assessments.
- To model the risk of Escherichia coli O157:H7 infection from food.
Main Methods:
- Utilized data analysis for parsimonious model development.
- Employed analysis of variance and Monte Carlo simulation for variability and uncertainty.
- Incorporated predictive microbiology and human feeding study data (Shigella as surrogate).
Main Results:
- Modeled exposure assessment for hamburgers cooked to various temperatures.
- Calculated risks using both threshold and non-threshold models.
- Demonstrated a five-order-of-magnitude range in 95% probability intervals for illness risk.
Conclusions:
- The presence of a threshold significantly influences microbial risk estimations.
- A systematic framework enhances the reliability of microbial risk assessments.
- Accurate dose-response modeling is critical for understanding foodborne illness risks.