| run_simple_SEEIR_model | R Documentation | 
Run the SEEIR model
run_simple_SEEIR_model( R0 = 3, tt_R0 = 0, dt = 0.1, init = NULL, dur_E = 4.58, dur_I = 2.09, day_return = FALSE, population, contact_matrix_set, tt_contact_matrix = 0, time_period = 365, replicates = 10 )
| R0 | Basic reproduction number | 
| tt_R0 | Change time points for R0 | 
| dt | Time step | 
| init | Data.frame of initial conditions | 
| dur_E | Mean duration of incubation period (days) | 
| dur_I | Mean duration of infectious period (days) | 
| day_return | Logical, do we want to return outut after each day rather than each dt. Default = FALSE | 
| population | Population vector (for each age group) | 
| contact_matrix_set | Contact matrices used in simulation | 
| tt_contact_matrix | Time change points for matrix change | 
| time_period | Length of simulation | 
| replicates | Number of replicates | 
Simulation output
## Not run: 
pop <- get_population("Afghanistan", simple_SEIR = TRUE)
m1 <- run_simple_SEEIR_model(population = pop$n, dt = 1,
R0 = 2,
contact_matrix_set=contact_matrices[[1]])
## End(Not run)
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