Example SIS model converted to aggregate format

Source: R/data.R

This is a deterministic SIS model where the infection parameter \(\beta = 0.2\) and the recovery/re-susceptibility parameter is \(\nu = 0.05\). The initial number of susceptible is \(S(0) = 499\) and the initial number of infectious is \(I(0)=1\). There are 100 steps. For more details, see <<http://statnet.org/tut/BasicDCMs.html#sis_model_with_sensitivity_analyses>>. We then use fortify_aggregate() to convert the data to output used with EpiCompare functions.

sis_data_f

Format

The object has the following columns

t

time

orig_t

original t in simulation

sim

simulation number

X0

number of Susceptible

X1

number of Infectious

Examples

library(EpiModel)
data(sis_data_f)
head(sis_data_f)
#> # A tibble: 6 x 5
#>       t orig_t sim      X0    X1
#>   <int>  <dbl> <fct> <dbl> <dbl>
#> 1     1      1 run1   499   1   
#> 2     2      2 run1   499.  1.16
#> 3     3      3 run1   499.  1.35
#> 4     4      4 run1   498.  1.57
#> 5     5      5 run1   498.  1.82
#> 6     6      6 run1   498.  2.11