NetworkDataSINR: Simulated epidemic data set from a network-based SINR ILM
Description
This is a simulated epidemic data set of population size = 50 individuals that was generated using a network-based SINR 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}}+ γ ∑_{i in N_t}{c_{ij}}]
The incubation period is assumed to follow a gamma distribution Γ(4,δ^{(inc)}), and the delay period is assumed to follow an exponential distribution δ^(delay). The epidemic was simulated with the following parameter values: α_0 = 0.08, α_1 = 2, γ = 1, δ^(inc)=2 and δ^(delay)=2.
The data set file contains the XY coordinates of individuals, the contact network matrix, the covariate matrix and the simulated epidemic data.
Usage
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Format
A list of the simulated data:
- loc
-
The XY coordinates of individuals.
- net
-
The undirected binary contact network matrix.
- cov
-
A matrix of two columns represents the unity intercept and the binary covariate z.
- epi
-
The simulated epidemic with six columns as: the id numbers of individuals, removal times, delay periods, notification times, incubation periods, and infection times.
