# Susceptible Exposed Infected Removed Deceased model (SEIRD connected)

Source:`R/ModelSEIRDCONN.R`

`ModelSEIRDCONN.Rd`

The SEIRD connected model implements a model where all agents are connected. This is equivalent to a compartmental model (wiki).

## Arguments

- name
String. Name of the virus.

- n
Number of individuals in the population.

- prevalence
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.

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

- recovery_rate
Numeric scalar between 0 and 1. Probability of recovery_rate.

- death_rate
Numeric scalar between 0 and 1. Probability of death.

- x
Object of class SEIRCONN.

- main
Title of the plot.

- ...
Currently ignore.

## Value

The

`ModelSEIRDCONN`

function returns a model of class epiworld_model.

The `plot`

function returns a plot of the SEIRDCONN 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 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()`

,
`ModelSEIR()`

,
`ModelSEIRCONN()`

,
`ModelSEIRD()`

,
`ModelSEIRMixing()`

,
`ModelSIR()`

,
`ModelSIRCONN()`

,
`ModelSIRD()`

,
`ModelSIRDCONN()`

,
`ModelSIRLogit()`

,
`ModelSIRMixing()`

,
`ModelSIS()`

,
`ModelSISD()`

,
`ModelSURV()`

,
`epiworld-data`

## Examples

```
# An example with COVID-19
model_seirdconn <- ModelSEIRDCONN(
name = "COVID-19",
prevalence = 0.01,
n = 10000,
contact_rate = 2,
incubation_days = 7,
transmission_rate = 0.5,
recovery_rate = 0.3,
death_rate = 0.01
)
# Running and printing
run(model_seirdconn, ndays = 100, seed = 1912)
#> _________________________________________________________________________
#> Running the model...
#> ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| done.
#> done.
model_seirdconn
#> ________________________________________________________________________________
#> Susceptible-Exposed-Infected-Removed-Deceased (SEIRD) (connected)
#> It features 10000 agents, 1 virus(es), and 0 tool(s).
#> The model has 5 states.
#> The final distribution is: 490 Susceptible, 2 Exposed, 1 Infected, 9280 Removed, and 227 Deceased.
plot(model_seirdconn)
# Adding the flu
flu <- virus(
"Flu", prob_infecting = .3, recovery_rate = 1 / 7,
prob_death = 0.001,
prevalence = 0.001, as_proportion = TRUE
)
add_virus(model = model_seirdconn, virus = flu)
#' # Running and printing
run(model_seirdconn, ndays = 100, seed = 1912)
#> _________________________________________________________________________
#> Running the model...
#> ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| done.
#> done.
model_seirdconn
#> ________________________________________________________________________________
#> Susceptible-Exposed-Infected-Removed-Deceased (SEIRD) (connected)
#> It features 10000 agents, 2 virus(es), and 0 tool(s).
#> The model has 5 states.
#> The final distribution is: 449 Susceptible, 8 Exposed, 8 Infected, 9331 Removed, and 204 Deceased.
plot(model_seirdconn)
```