1) Go back to t = 1 day. Make a graph showing S, I, and R for the first 50 days. Make it pretty and with appropriate titles, and paste it below. Then answer the questions. Insert graph: a) What are the values of S, I, R when t = 30 days? b) According to your graph and datatable, on what day does the infection peak? What values do you get for S, I, R? c) Looking at the values of S’, I’, and R’ (or S, I, and R): On what day does the largest number of new infections occur? How many are there? d) On what day does the largest number of recoveries occur? Do you see a connection between this day and the day the infection peaks? e) On what day does the infected population grow most rapidly? And declines most rapidly? What does I’ have on these days? f) Make a copy of your spreadsheet. Use the copy and modify it as necessary to start with the values of day 10 and go backward to day 0, using a time step of 1 day. Write down some of your observations and explain what you think is happening. g) Free exploration: with different parameters in the model (time increment, “Play” transmission / recovery coefficients, etc.). Copy and paste the graphs that you are obtaining in each case, trying to make sense of the results you are obtaining. I would like to see at least 5 results. This work will be helpful in making you get a sense of what to “interesting” do in your project.
1) Go back to t = 1 day. Make a graph showing S, I, and R for the first 50 days. Make it pretty and with appropriate titles, and paste it below. Then answer the questions. Insert graph: a) What are the values of S, I, R when t = 30 days? b) According to your graph and datatable, on what day does the infection peak? What values do you get for S, I, R? c) Looking at the values of S’, I’, and R’ (or S, I, and R): On what day does the largest number of new infections occur? How many are there? d) On what day does the largest number of recoveries occur? Do you see a connection between this day and the day the infection peaks? e) On what day does the infected population grow most rapidly? And declines most rapidly? What does I’ have on these days? f) Make a copy of your spreadsheet. Use the copy and modify it as necessary to start with the values of day 10 and go backward to day 0, using a time step of 1 day. Write down some of your observations and explain what you think is happening. g) Free exploration: “Play” with different parameters in the model (time increment, transmission / recovery coefficients, etc.). Copy and paste the graphs that you are obtaining in each case, trying to make sense of the results you are obtaining. I would like to see at least 5 “interesting” results. This work will be helpful in making you get a sense of what to do in your project.
div4_449_3533970410.docx