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EpiILMCT (version 1.1.7)

SpatialData: Simulated epidemic data set from a distance-based SIR ILM

Description

This is a simulated epidemic data set of population size = 50 individuals that was generated using a distance-based SIR individual-level model (ILM) with power-law distance kernel. The model has no susceptible covariates and the infectivity rate is given by:

$$\lambda_{jt} = \alpha_{0} \sum_{i \in I_{t}}{d_{ij}^{-\beta}}$$

The infectious period is assumed to follow an exponential distribution with rate \(\lambda\). The epidemic was simulated with the following parameter values: \(\alpha_{0} = 2.0\), \(\beta = 3\) and \(\delta = 2\).

The data set file is an object of class "datagen" that has a list of type, kerneltype, epidat and location.

Usage

data(SpatialData)

Arguments

Format

An object of class ``datagen'' that contains the following:

type:

The ``SIR'' compartmental framework.

kerneltype:

The ``distance'' kernel function.

epidat:

A matrix of the simulated epidemic with four columns as: the id numbers of individuals, removal times, infectious periods, and infection times.

location:

A matrix of the XY coordinates of individuals.

network:

A zero matrix of contact network.