epiworldR (version 0.8.2.0)

ModelSEIRD: Susceptible-Exposed-Infected-Recovered-Deceased model (SEIRD)

Description

Susceptible-Exposed-Infected-Recovered-Deceased model (SEIRD)

Usage

ModelSEIRD(
  name,
  prevalence,
  transmission_rate,
  incubation_days,
  recovery_rate,
  death_rate
)

Value

• The ModelSEIRDfunction 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.

incubation_days

Numeric scalar greater than 0. Average number of incubation days.

recovery_rate

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

death_rate

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

Details

The initial_states function allows the user to set the initial state of the model. The user must provide a vector of proportions indicating the following values: (1) Proportion of exposed agents who are infected, (2) proportion of non-infected agents already removed, and (3) proportion of non-ifected agents already deceased.

See Also

epiworld-methods

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

Examples

model_seird <- ModelSEIRD(name = "COVID-19", prevalence = 0.01,
  transmission_rate = 0.9, recovery_rate = 0.1, incubation_days = 4,
  death_rate = 0.01)

# Adding a small world population
agents_smallworld(
  model_seird,
  n = 100000,
  k = 5,
  d = FALSE,
  p = .01
)

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

plot(model_seird, main = "SEIRD Model")