Epidemiology deals with complex systems where numerous variables interact in unpredictable ways. Traditional decision-making models often rely on precise predictions, which can be unreliable in the face of uncertainty. RDM, on the other hand, focuses on identifying strategies that are robust—that is, strategies that perform well across a variety of plausible futures. This is crucial for managing public health risks and implementing effective interventions, especially when dealing with evolving threats like pandemics.
