EoN.estimate_R0

EoN.estimate_R0(G, tau=None, gamma=None, transmissibility=None)

provides the estimate of the reproductive number R_0 = T <K^2-K>/<K>

This handles the Markovian continuous time case with T = tau/(tau+gamma) and it handles other cases by the user inputting an average transmissibility

For <K^2-K>/<K> it measures the network.

Arguments:

G networkx Graph

tau positive float (default None)

transmission rate

Either both tau and gamma must be given or transmissibility is given.

gamma positive float (default None)

recovery rate

Either both tau and gamma must be given or transmissibility is given.

transmissibility positive float (default None)

average transmission probability

Either both tau and gamma must be given or transmissibility is given.

Returns:

R_0 float

Reproductive number \(\mathcal{R}_0= T \langle K^2-K\rangle/\langle K\rangle\)