Teaching Quantitative Biology Online

36 minute video on Youtube

"Many scientists try to predict the future and decide upon what preventive measures to take in order to mitigate the spread of the Covid-19 infection. But what is R_0 and how do you estimate it? What about #flattenthecurve? How does the math behind all this work and what does the statistical models look like? In this talk professor Britton explains all this."

From the description on Kaggle

"Johns Hopkins University has made an excellent dashboard using the affected cases data. Data is extracted from the google sheets associated and made available here.

Edited:
Now data is available as csv files in the Johns Hopkins Github repository. Please refer to the github repository for the Terms of Use details. Uploading it here for using it in Kaggle kernels and getting insights from the broader DS community."

This is a relatively quick activity. A few lines of code utilizing the EpiDynamics R package gives students access to simulations of SEIR curves and can explore how lowering transmission rate helps flatten the curve. OER activity - fork it to add your own twist!

This is a Washington Post spatially-explicit simulation showing how social distancing helps flatten the curve and reduce overall infections.

General audience

A fantastic tool for exploring public health, data, and data visualization.  The link will take you to teaching materials, but consider using the videos to prompt question exploration in the tools section.

Data, figures and materials to explore.  No educational materials included.