Part II. Susceptible-Infected-Susceptible (SIS) Model: In this part you will be studying the effect of different parameters on the endemic level of infection in the population within the Susceptible-Infected-Susceptible model. The end point you will be calculating is the fraction of the total population that is constantly carrying the infection after the infection has reached steady state (i.e. isn't changing anymore). This fraction will be denoted %I[| which is just the asymptotic number of infected individuals In divided by the total population size, and you will investigate how this response varies with the transmission coefficient and removal rate. Mm 1. Using the appropriate R program given above for the SIS Model, adjust the values of the transmission coefcient (0:) and the removal rate (y) in the program to get the %In for each combination of parameters in the Tables below. Record in the tables below the values %In. (that is, the asymptotic value of %I, read from your graph). Then use equation 2 (on page 2) to calculate the theoretical values, and fill those results into the tables too in the column labelled \"%Immmry)\". Study 1 Study 2 So=500; Io=1; =0.05 So=500; Io=1; o=0.0016