| NetworkDataSINR {EpiILMCT} | R Documentation |
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 \beta=1.8 and \alpha=1. The model has one binary susceptible covariate and the infectivity rate is given by:
\lambda_{jt} = (\alpha_{0} + \alpha_{1}z_{j}) [\sum_{i: \in I_{t}}{c_{ij}}+ \gamma \sum_{i: \in N_{t}}{c_{ij}}]
The incubation period is assumed to follow a gamma distribution \Gamma(4,\delta^{(inc)}), and the delay period is assumed to follow an exponential distribution \delta^{(delay)}. The epidemic was simulated with the following parameter values: \alpha_{0} = 0.08, \alpha_{1} = 2, \gamma = 1, \delta^{(inc)}=2 and \delta^{(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
data(NetworkDataSINR)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.