State space models are mathematical frameworks used to describe the evolution of a system over time. In the context of epidemiology, these models help in understanding the dynamics of disease transmission, progression, and intervention effectiveness. State space models consist of two main components: the state equation and the observation equation. The state equation describes the evolution of the underlying system states, while the observation equation links these states to the observed data.