Development of Dose-Response Models for the Ingestion Exposure Route and Stillbirth Outcome for Listeria monocytogenes.

Foodborne listeriosis can cause stillbirth in pregnant individuals, prompting numerous population-specific food safety guidelines. Dose-response models are employed in quantitative microbial risk assessments (QMRAs) to develop such guidelines; however, pregnant hosts are under-considered when developing dose-response models, and the few published dose-response models for pregnant hosts do not consider the biological plausibility of the model. Therefore, this study aims to develop biologically plausible dose-response models for pregnant hosts using infection and stillbirth as health outcomes. The inclusion criteria of dose-response data for this analysis required reporting of (i) quantified dose, (ii) Listeria monocytogenes as the target pathogen, (iii) infection and/or stillbirth as endpoints, and (iv) specificity to pregnant hosts. The datasets were fit individually and as pooled sets to exponential and beta-Poisson dose-response models using Maximum Likelihood Estimation (MLE). To establish uncertainty around the MLE estimates, 10,000 bootstrapped iterations were fit to the models. Recommended dose-response models for endpoints of stillbirth and infection were generated. The recommended model for infection was based on pooled guinea pig and gerbil maternal infection data fit to the beta-Poisson model, with parameters of: α = 0.0843 and N