Susceptible Infected Removed Deceased model (SIRD connected)
Source:R/ModelSIRDCONN.R
ModelSIRDCONN.Rd
Susceptible Infected Removed Deceased model (SIRD connected)
Arguments
- name
String. Name of the virus
- n
Number of individuals in the population.
- prevalence
Double. Initial proportion of individuals with the virus.
- contact_rate
Numeric scalar. Average number of contacts per step.
- transmission_rate
Numeric scalar between 0 and 1. Probability of transmission.
- recovery_rate
Numeric scalar between 0 and 1. Probability of recovery.
- death_rate
Numeric scalar between 0 and 1. Probability of death.
- x
Object of class SIRDCONN.
- main
Title of the plot
- ...
Currently ignore.
Value
The
ModelSIRDCONN
function returns a model of class epiworld_model.
The plot
function returns a plot of the SIRDCONN model of class
epiworld_model.
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 non-infected agents already removed, and (2) proportion of non-ifected agents already deceased.
See also
epiworld-methods
Other Models:
ModelDiffNet()
,
ModelSEIR()
,
ModelSEIRCONN()
,
ModelSEIRD()
,
ModelSEIRDCONN()
,
ModelSEIRMixing()
,
ModelSIR()
,
ModelSIRCONN()
,
ModelSIRD()
,
ModelSIRLogit()
,
ModelSIRMixing()
,
ModelSIS()
,
ModelSISD()
,
ModelSURV()
,
epiworld-data
Examples
model_sirdconn <- ModelSIRDCONN(
name = "COVID-19",
n = 100000,
prevalence = 0.01,
contact_rate = 5,
transmission_rate = 0.4,
recovery_rate = 0.5,
death_rate = 0.1
)
# Running and printing
run(model_sirdconn, ndays = 100, seed = 1912)
#> _________________________________________________________________________
#> Running the model...
#> ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| done.
#> done.
model_sirdconn
#> ________________________________________________________________________________
#> Susceptible-Infected-Removed-Deceased (SIRD) (connected)
#> It features 100000 agents, 1 virus(es), and 0 tool(s).
#> The model has 4 states.
#> The final distribution is: 3678 Susceptible, 0 Infected, 86905 Recovered, and 9417 Deceased.
plot(model_sirdconn, main = "SIRDCONN Model")