Randomness and Stochasticity - dime-worldbank/Disease-Modelling-SSA GitHub Wiki

Randomness and stochasticity are important parts of the model, but their role in an agent-based system can be confusing.

For example, if a user adds events or processes which do not influence the epidemiology of the disease, it can cause a difference in the number of cases of disease by the end of the simulation. Because the simulation is informed by a random number generator, any reference to that RNG will "use" the next number. For example:

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