Preview - 21/22 Computational Modeling Of Covid-19 Spread

Computational Thinking: Putting It All Together

You have completed a lot of great work and learning.  You have used a NetLogo computer model to take a question (Why is COVID-19 so dangerous and What Can We Do to Mitigate Risk?) and quantify it into evidence-based claims. In the case of our NetLogo Model, the results are given to us as information in a graph. It's time to put it all together. What do the numbers tell us?

Questions

Please answer the questions below.

SAQ:  You have collected data about the number of Sick, Dead, Infected, and Recovered people in the models that you have run. 

In the space provided, use the drawing tools to recreate your data. Be sure to label the x and y axes. Share all the information you collected.

First, draw the lines in the graph to show it would look when people are not following social distancing and wearing masks.

Note: Draw your sketch in the sketchpad below

SAQ: Now, draw the lines in the graph showing Sick, Dead, Infected, and Recovered people when people follow social distancing and wear masks.

Note: Draw your sketch in the sketchpad below

SAQ:  The NetLogo COVID-19 Transmission Model is very effective at giving us some information.  However, it does not give us all the information we may need.  What are the limitations of the model?  List at least 3.

SAQ:  On a scale of 1 to 10 with 10 being the best, how effective do you think your research is?  In other words, how well do you think the NetLogo Covid-19 Transmission Model is at answering our question?  Why do you think this?  

Notes

These notes will appear on every page in this lesson so feel free to put anything here you'd like to keep track of.