SpatialNetData: Simulated epidemic data set from a distance and network-based...

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

Description

This is a simulated epidemic data set of population size = 50 individuals that was generated using a combined distance and network-based SIR individual-level model (ILM) with power-law distance kernel. 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}{d_{ij}^{-β_1}+β_2 c_{ij}}

The infectious period is assumed to follow an exponential distribution with rate δ. The epidemic was simulated with the following parameter values: α_0 = 0.008, α_1 = 0.2, β_1 = 2, β_2 = 0.5 and δ = 2.

The data set file is a list of an object of class "datagen" that contains of type, kerneltype, epidat, location and network, and the covariate matrix.

Usage

data(SpatialNetData)

Format

It is a list of an object of class “datagen” that contains the following:

type:

The “SIR” compartmental framework.

kerneltype:

The “both” distance and network kernel functions.

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:

The undirected binary contact network matrix.

and a 50 by 2 matrix of the covariates represents the unity intercept and the binary covariate z.

EpiILMCT documentation built on June 29, 2021, 9:08 a.m.