Hybrid FSIR Model with Parameter Embedding via Machine Learning
Epidemiological model parameters vary in realworld conditions due to seasonality, interventions, and behavioral factors, making static parameterization insufficient. This paper proposes a hybrid FSIR (Fractional SusceptibleInfected-Recovered) model that combines a Caputo fractional derivative core with adaptive data-dr...