solve using matlab

4) Too Soon The following model is used to describe the spread of infectious disease. S' I' R' = -BSI BSI - vl vi Where S represents the susceptible population (those who can become ill), I represents those who are ill and spreading the disease, and represents those who have recovered and are no longer susceptible or spreading the disease. Using B = 4x10-9 (you can ignore the units) and v = 2/7 day an initial susceptible population of 100 million persons, and an initial infected population of 30 persons, solve the differential equation over a 180-day time span, and plot the three populations on a single figure persons.day a) Save the (t) vector on HW7_12.dat b) Save the R(t) vector on HW7_13.dat c) Find the total number of infected + recovered at the end of the 180-day time span. Save on HW7_14.dat d) BSI represents the number of new infections per day. Find the maximum value of new infections per day, and save the result on HW7_15.dat 4) Too Soon The following model is used to describe the spread of infectious disease. S' I' R' = -BSI BSI - vl vi Where S represents the susceptible population (those who can become ill), I represents those who are ill and spreading the disease, and represents those who have recovered and are no longer susceptible or spreading the disease. Using B = 4x10-9 (you can ignore the units) and v = 2/7 day an initial susceptible population of 100 million persons, and an initial infected population of 30 persons, solve the differential equation over a 180-day time span, and plot the three populations on a single figure persons.day a) Save the (t) vector on HW7_12.dat b) Save the R(t) vector on HW7_13.dat c) Find the total number of infected + recovered at the end of the 180-day time span. Save on HW7_14.dat d) BSI represents the number of new infections per day. Find the maximum value of new infections per day, and save the result on HW7_15.dat