New Article in Microbial Risk Analysis titled: Incorporating genomic virulence in a quantitative microbial risk assessment to assess the public health impact of alternative microbiological criteria for Salmonella, introduces a novel Quantitative Microbial Risk Assessment (QMRA) model that evaluates Non-Typhoidal Salmonella (NTS) illness reductions under various microbial criteria scenarios in beef production.
Our model incorporates a unique genomic method to distinguish high- and low-virulence Salmonella serovars, predicting illness reductions exceeding 25% when over half of production lots are tested.
Key findings highlight that targeted microbial criteria focusing on high-virulence serovars and concentration thresholds can significantly reduce public health risks while managing product diversion trade-offs. This work provides valuable insights for the meat industry to optimize microbial testing strategies, improve food safety, and reduce the burden of Salmonella infections.
