This is a simulated epidemic data set of population size = 50 individuals that was generated using a network-based SIR individual-level model (ILM) with a contact network that was generated using the power-law model with parameters β=1.8 and α=1. The model has one binary susceptible covariate and the infectivity rate is given by:
λ_{jt} = (α_0 + α_1 z_j) ∑_{i in I_t}{c_{ij}}
The infectious period follows a gamma distribution Γ(4,δ). The epidemic was simulated with the following parameter values: α_0 = 0.08, α_1 = 0.5 and δ=2.
The data set file is a list of an object of class "datagen" that contains of type
, kerneltype
, epidat
, location
and network
, and the covariate matrix.
1 |
It is a list of an object of class “datagen” that contains the following:
The “SIR” compartmental framework.
The “network” kernel function.
A matrix of the simulated epidemic with four columns as: the id numbers of individuals, removal times, infectious periods, and infection times.
A matrix of the XY coordinates of individuals.
The undirected binary contact network matrix.
and a 50 by 2 matrix of the covariates represents the unity intercept and the binary covariate z.
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