Stochastic Compartmental Model

A compartmental epidemiological model (e.g., SIR, SEIR) in which transitions between compartments and event occurrences are represented as stochastic processes (for example continuous-time Markov chains, Poisson processes or Gillespie algorithms), producing probability distributions of outbreak trajectories rather than a single deterministic trajectory.