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

The Model


For the Neighborhood Spread Model we were able to see what would happen with the spread of COVID in a larger neighborhood.  We were able to experiment with the Density, Infectivity-of-Virus, Behavioral-Prevention, and Vaccinated-%.  We can change these parameters using the sliders.  After running the model for a specified number of ticks, we can see the results:  Total Percentage Infected, Low-Density Area Percentage Infected, and High Density Area Percentage Infected.  If you are unfamiliar with how this works, please start here and gain some better understanding.  Be sure to run the model more than once (with the same parameters) to get insight into what is really going on.  

Now that you have a better understanding of the model let's experiment! You will be using the NetLogo Code dropdown screen to complete this section.  Take a look at it.  What do you see? Line and lines of writing, right?  Take a few minutes to try to understand what these lines of writing are telling the computer to do.


Questions

Please answer the questions below.

Summarize, in your own words, what the lines 9 and 10 are telling the computer to do.


To make infected households look red what will you change in the code? (Hint: line 67).  Now try it out.

**Note: Did you remember to click on "RECOMPILE CODE?"


One last question: Look at Line 57.  

To increase the effect of behavioral prevention, what would you change? How will that affect the spread of the disease? Test and see if your prediction is correct.

 


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.