What type of risk model accounts for variability in individual responses to exposure?

A probabilistic risk model is designed to account for the variability in individual responses to exposure by incorporating uncertainty and diverse population characteristics into its calculations. In this model, the likelihood of different outcomes is expressed as probabilities, allowing for a broader understanding of how different individuals may react to the same exposure.

This type of model is particularly valuable in risk assessment because it acknowledges that individual sensitivities can vary due to genetic, environmental, lifestyle, and other factors. By integrating this variability into the model, it provides a more accurate reflection of potential risks across a population rather than assuming a uniform response.

The other models do not accommodate this individual variability. Deterministic risk models typically operate under fixed assumptions and provide specific outcomes based on set inputs, not accounting for individual differences. Univariate risk models analyze a single variable without considering the complexities of individual responses. Qualitative risk models focus on subjective analysis rather than numerical probabilities, which limits their ability to express the range of individual reactions to exposure. Thus, the strength of probabilistic risk models lies in their capacity to encompass the variability inherent in human responses.