Advancing risk assessment: mechanistic dose-response modelling of Listeria monocytogenes infection in human populations.

ABSTRACT: The utility of characterizing the effects of strain variation and individual/subgroup susceptibility on dose-response outcomes has motivated the search for new approaches beyond the popular use of the exponential dose-response model for listeriosis. While descriptive models can account for such variation, they have limited power to extrapolate beyond the details of particular outbreaks. By contrast, this study exhibits dose-response relationships from a mechanistic basis, quantifying key biological factors involved in pathogen-host dynamics. An efficient computational algorithm and geometric interpretation of the infection pathway are developed to connect dose-response relationships with the underlying bistable dynamics of the model. Relying on in vitro experiments as well as outbre

SUBMITTER: Rahman A 

PROVIDER: S-EPMC6124125 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature