epiworldR (version 0.8.2.0)

ModelSIS: SIS model

Description

Susceptible-Infected-Susceptible model (SIS) (wiki)

Usage

ModelSIS(name, prevalence, transmission_rate, recovery_rate)

Value

• The ModelSIS function returns a model of class epiworld_model.

Arguments

name

String. Name of the virus.

prevalence

Double. Initial proportion of individuals with the virus.

transmission_rate

Numeric scalar between 0 and 1. Virus's rate of infection.

recovery_rate

Numeric scalar between 0 and 1. Rate of recovery from virus.

See Also

epiworld-methods

Other Models: ModelDiffNet(), ModelMeaslesQuarantine(), ModelSEIR(), ModelSEIRCONN(), ModelSEIRD(), ModelSEIRDCONN(), ModelSEIRMixing(), ModelSIR(), ModelSIRCONN(), ModelSIRD(), ModelSIRDCONN(), ModelSIRLogit(), ModelSIRMixing(), ModelSISD(), ModelSURV(), epiworld-data

Examples

model_sis <- ModelSIS(name = "COVID-19", prevalence = 0.01,
  transmission_rate = 0.9, recovery_rate = 0.1)

# Adding a small world population
agents_smallworld(
  model_sis,
  n = 1000,
  k = 5,
  d = FALSE,
  p = .01
)

# Running and printing
run(model_sis, ndays = 100, seed = 1912)
model_sis

# Plotting
plot(model_sis, main = "SIS Model")