EPI 554: Epidemic Modeling for Infectious Diseases
Recently I took a course on infectious disease modeling. In our weekly labs, we build models of epidemics using differential equations. I've chosen to do all of the assignments in R.
This is an example of a very basic compartmental, deterministic model of infectious disease where individuals move from being Susceptible to Infected to Recovered. In the Shiny App I've programmed below, you can adjust the parameters of the model to see how this epidemic unfolds with different contact rates between individuals, transmission probabilities given contact with an infected individual, recovery rates, and birth and death rates.
This is an example of a very basic compartmental, deterministic model of infectious disease where individuals move from being Susceptible to Infected to Recovered. In the Shiny App I've programmed below, you can adjust the parameters of the model to see how this epidemic unfolds with different contact rates between individuals, transmission probabilities given contact with an infected individual, recovery rates, and birth and death rates.