Each group will simulate three different cases: a disease with and without a particular infectious window and with and without immunity. Decide how infectious you want your disease to be (e.g. if disease requires direct transferral of body fluids, perhaps infected and susceptible persons need to overlap exactly. A `spray' infection might occur if infected and susceptible members are within one `hex' of one another. A really infectious disease might occur if infected members left of `trail' of sites, which infect any susceptible population passing throught the site). You may want to play with these initial rules a bit to get something you judge to be `interesting.' For your first set of simulations track the course of infection given that none of the children ever recover and can pass on the disease forever. Secondly, simulate a case where population members are infectious for only a set number of days, at which point they are `removed' from being infectious (and also from being susceptible). Thirdly, do the same simulation without `removing' the previously infected population (that is, place diseased individuals back in the susceptible pool after their infection is over, as opposed to letting them be resistant to the disease.) Perform each simulation at least twice, so that team members can rotate through different roles. Don't forget to collect your data!
Expand on the basic discrete logistic model to account for the factors you have added to the simulations. In your lab report you must do the following: