SpatialNetData {EpiILMCT} | R Documentation |
This is a simulated epidemic data set of population size = 50 individuals that was generated using a combined distance and network-based SIR individual-level model (ILM) with power-law distance kernel. 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}{d_{ij}^{-β_1}+β_2 c_{ij}}
The infectious period is assumed to follow an exponential distribution with rate δ. The epidemic was simulated with the following parameter values: α_0 = 0.008, α_1 = 0.2, β_1 = 2, β_2 = 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.
SpatialNetData
It is a list of an object of class “datagen” that contains the following:
The “SIR” compartmental framework.
The “both” distance and network kernel functions.
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.