A fairly basic stochastic SIR model
This model uses a SIR disease model framework and the mechanics of a simple disease propagation game to model the process of a disease through a population. Using the given parameters the code generates a population and then assess the progress of a disease itterativly through it and the result is graphed.
As of 4/12/2020 the available parameters to adjust are:
- Initial population demographics (number susceptible, infected, immune, total population size)
- Amount of interaction between people
- Rate of recovery from infection
- Probability of transmission of infection
- Probability of death from infection
Eventually I'd like to add: 1) Susceptibility gradient so immunity isn't all or nothing 2) Infection severity gradient and associated changes to recovery/death probabilities 3) Spatial component where interactions are restricted to neighboring people in the population