Abstract
ABSTRACT
This article revisits the risk characterization phase in Quantitative Microbial Risk Assessment (QMRA) and proposes a methodological framework to translate probabilistic risk estimates into easily interpretable public health metrics, thereby facilitating risk communication. This framework adopts a top‐down perspective, aiming to estimate the public health burden on a particular population associated with the exposure to a specific microbial hazard originating from a predefined production process. Such an approach is useful for risk managers to compare the relative health impacts of a food production system under different scenarios. It also allows a mathematically rigorous use of QMRA model outputs, even when model validation is constrained by unavoidable data and knowledge gaps. The proposed approach is illustrated using a multi‐pathway QMRA model from the literature, assessing the transmission of Extended‐Spectrum Beta‐Lactamase (ESBL)‐producing
Escherichia coli
(
E. coli
) to humans through broiler production. Under a baseline scenario defined by a parameterized production system and for a given population, the proposed approach classifies different exposure pathways according to their per‐individual risk of colonization, while accounting for the proportion of the general population exposed to each pathway.