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Standard iterative SEIR models remove people from E and I by
assuming an average rate, for example:-
In+1 = In - k1I + k2E
This can be replicated in an agent based model by assigning
each person a length of time to stay in E and I based on an
exponential random number generator, with the means being the
inverse of k1 and k2.
Incidence in a standard iterative model is based on an assumption
of homogeneous mixing and an average per capita contact rate.
Sn+1 = Sn - bSnIn
In this agent based model, an infectee has a radius of infection
(r), a probability of infecting a susceptible (q) and susceptibles
have a probability of becoming infected (p). The iterative model
can be replicated by setting r=infinity, q=1 and p=b.
The people are moving about in this scenario but it is irrelevant
because of the infinite radius of infection.
Click Start to run the model...
The formatted descripiton is diplayed when the scenario label, top left in the nav bar, is clicked.
Reset the scenario to activate the edits.