SARS-2 or COVID-19, has spread all around the world and the cases have accumulate over time, but how, and can we use math to understand and predict the trends? In this lesson students will use a computer simulation of the mathematical SIR model to understand how transmission and recovery rates can effect the number of people who get infected and when. There are 2 versions/tracks. One in which students will change parameters on an interface to see how the plots change (grades 6-9/no coding experience). The second version/track has code which students can review and manipulate to explore how to build the model for themselves (grades 9-12/coding experience).
forked from jennifer-bio/HSworkshop_SIRinR
-
Notifications
You must be signed in to change notification settings - Fork 0
bioinfo-ucsd/outreachWorkshop_SIRinR
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Code of conduct
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Jupyter Notebook 100.0%