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.
data(NetworkDataSINR)A list of the simulated data:
The XY coordinates of individuals.
The undirected binary contact network matrix.
A matrix of two columns represents the unity intercept and the binary covariate z.
The simulated epidemic with six columns as: the id numbers of individuals, removal times, delay periods, notification times, incubation periods, and infection times.