Personalized models in epidemiology refer to tailoring epidemiological predictions and interventions to the individual level, rather than relying on population-wide averages. These models integrate personal health data, genetic information, lifestyle factors, and environmental exposures to provide a more accurate assessment of disease risk, progression, and treatment efficacy for an individual.
