# 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()`

,
`ModelSIR()`

,
`ModelSIRCONN()`

,
`ModelSIRD()`

,
`ModelSIRLogit()`

,
`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: 3778 Susceptible, 0 Infected, 86521 Recovered, and 9701 Deceased.
plot(model_sirdconn, main = "SIRDCONN Model")
```