i1 simple

The simplest possible model - a single SIR infection chain, which can easily be extended to multiple disease strains by adding initialization data.

i2 createStrains

An extension of i1 to use an action to introduce new disease strains at random times.

i3 cohort

Repetition of the SIR model across multiple age cohorts.

i4 speciesCrossover

Crossover of disease between humans and animals, easily extensible to more species by adding more data. "Species" can be reinterpreted as "city" or some other network concept.

i5 optimize

Calibration of the SIR model to synthetic data.

i6 mixedAgentState

A semi-agent version of the model, with individual infection states, but the probability of infection deriving from well-mixed contacts across the population.

i7 networkAgentState

A full agent version, with individual states and a random network of social contacts governing the spread of infection.

i8 multiNetworkAgent

A generalization of i7 to different network topologies, which are set up by actions at the start of a run.

i9 actionState

An alternative formulation that stores the individual's state in an attribute, updated by actions.