Create a Matlab Live Script named "SIR_Simulation_.mlx". Then, download the file Active_Cases.mat and load it in the Live script (Hint: you can use the command load( 'Active_Cases.mat') within the Live Script). The previous command will load a variable named Active_Cases that contains the number of daily confirmed infectious individuals in a given population. Your goal is to simulate the epidemic dynamics and fit the available data by means of the linearized SIR model derived in Recitation 5. Assume a total population of 7,615,000, and initial values for I and R equal to 700 and 0 , respectively. 1. Assuming that a value of =1.75 has been evaluated for the population in exam, estimate the corresponding value of that yields a satisfactory match between the experimental curve and the SIR prediction (by visual inspection of the curves only. Hint: using a Numeric Slider within the Live Script greatly helps with this operation). 2. Plot the two curves (real infections and predicted infections) together and briefly discuss the results obtained from the SIR model. Also, use the calibrated SIR model to predict how long it will take for the total infectious individual to drop to a value lower than 250