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

In EpiILMCT: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics

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)

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.

EpiILMCT documentation built on Sept. 28, 2026, 9:07 a.m.