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Listeria monocytogenes Dose Response Revisited—Incorporating Adjustments for Variability in Strain Virulence and Host Susceptibility

Author

Listed:
  • Régis Pouillot*
  • Karin Hoelzer
  • Yuhuan Chen
  • Sherri B. Dennis

Abstract

Evaluations of Listeria monocytogenes dose‐response relationships are crucially important for risk assessment and risk management, but are complicated by considerable variability across population subgroups and L. monocytogenes strains. Despite difficulties associated with the collection of adequate data from outbreak investigations or sporadic cases, the limitations of currently available animal models, and the inability to conduct human volunteer studies, some of the available data now allow refinements of the well‐established exponential L. monocytogenes dose response to more adequately represent extremely susceptible population subgroups and highly virulent L. monocytogenes strains. Here, a model incorporating adjustments for variability in L. monocytogenes strain virulence and host susceptibility was derived for 11 population subgroups with similar underlying comorbidities using data from multiple sources, including human surveillance and food survey data. In light of the unique inherent properties of L. monocytogenes dose response, a lognormal‐Poisson dose‐response model was chosen, and proved able to reconcile dose‐response relationships developed based on surveillance data with outbreak data. This model was compared to a classical beta‐Poisson dose‐response model, which was insufficiently flexible for modeling the specific case of L. monocytogenes dose‐response relationships, especially in outbreak situations. Overall, the modeling results suggest that most listeriosis cases are linked to the ingestion of food contaminated with medium to high concentrations of L. monocytogenes. While additional data are needed to refine the derived model and to better characterize and quantify the variability in L. monocytogenes strain virulence and individual host susceptibility, the framework derived here represents a promising approach to more adequately characterize the risk of listeriosis in highly susceptible population subgroups.

Suggested Citation

  • Régis Pouillot* & Karin Hoelzer & Yuhuan Chen & Sherri B. Dennis, 2015. "Listeria monocytogenes Dose Response Revisited—Incorporating Adjustments for Variability in Strain Virulence and Host Susceptibility," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 90-108, January.
    • Handle: RePEc:wly:riskan:v:35:y:2015:i:1:p:90-108
    DOI: 10.1111/risa.12235
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    References listed on IDEAS

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    2. Patrick Murigu Kamau Njage & Clementine Henri & Pimlapas Leekitcharoenphon & Michel‐Yves Mistou & Rene S. Hendriksen & Tine Hald, 2019. "Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next‐Generation Sequencing Data," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1397-1413, June.

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