Disease epidemiology: A simulation scenario of infectious viral disease (COVID-19)

By Deependra Dhakal in R epidemiology

August 7, 2020

SIR model of COVID-19 epidemiology

## # A tibble: 5,555 × 6
##    beta_id  time       S      I      R beta_value
##    <chr>   <dbl>   <dbl>  <dbl>  <dbl>      <dbl>
##  1 1         0   0.7     0.02   0.01          3.2
##  2 1         0.5 0.662   0.0541 0.0134        3.2
##  3 1         1   0.575   0.133  0.0223        3.2
##  4 1         1.5 0.420   0.268  0.0420        3.2
##  5 1         2   0.242   0.411  0.0763        3.2
##  6 1         2.5 0.117   0.491  0.122         3.2
##  7 1         3   0.0521  0.506  0.172         3.2
##  8 1         3.5 0.0235  0.484  0.222         3.2
##  9 1         4   0.0111  0.450  0.269         3.2
## 10 1         4.5 0.00559 0.413  0.312         3.2
## # ℹ 5,545 more rows
Posted on:
August 7, 2020
Length:
1 minute read, 112 words
Categories:
R epidemiology
Tags:
R epidemiology gganimate
See Also:
Simulating genetic drift
Missing negative from the normal
Internals of Mixed Models