Incredible visualizations of data on a variety of topics, often with underlying data available.  Ideal for prompting discussions about topics, data visualization and data analysis.

There is an R Shiny contest going on right now.  Many of the most recent submissions are data dashboards for tracking the COVID-19 pandemic.  Take a look!

This phylogeny shows evolutionary relationships of hCoV-19 (or SARS-CoV-2) viruses from the ongoing novel coronavirus COVID-19 pandemic. This phylogeny shows an initial emergence in Wuhan, China, in Nov-Dec 2019 followed by sustained human-to-human transmission leading to sampled infections. Although the genetic relationships among sampled viruses are quite clear, there is considerable uncertainty surrounding estimates of transmission dates and in reconstruction of geographic spread. Please be aware that specific inferred transmission patterns are only a hypothesis.

This ESTEEM worksheet implements an SIR (Susceptible/ Infected/ Resistant) model of epidemiology for vector-borne diseases. Up to three microbial strains with different virulence and transmission parameters can be modeled and the results graphed. Originally designed to explore coevolution of myxoma and rabbits, the model is easily generalized to other systems.

The SIR Build It REVISED 2018 file attached here represents a basic SIR model and demonstrates Farr's law as well as the corresponding S/I phase plot. Additional sheets demonstrate some modifications of the basic model, including the effects of stochasticity.

From Tony Weisstein, Truman State

More Excel based simulations from the BioQUEST ESTEEM collection are available here:https://qubeshub.org/community/groups/esteem/esteem_modules_and_descriptions

This ESTEEM worksheet implements an SIR (Susceptible/ Infected/ Resistant) model of epidemiology for vector-borne diseases. Up to three microbial strains with different virulence and transmission parameters can be modeled and the results graphed. Originally designed to explore coevolution of myxoma and rabbits, the model is easily generalized to other systems.

The SIR Build It REVISED 2018 file attached here represents a basic SIR model and demonstrates Farr's law as well as the corresponding S/I phase plot. Additional sheets demonstrate some modifications of the basic model, including the effects of stochasticity.

From Tony Weisstein, Truman State

More Excel based simulations from the BioQUEST ESTEEM collection are available here:https://qubeshub.org/community/groups/esteem/esteem_modules_and_descriptions

For use in a calculus class!

A blog on how one professor is using OneNote to push his classes online. 

A colleague recommended this. He said it is easy to use, students can use it in a breakout session, and you can save the whiteboard when you are done.

Estimating actual COVID 19 cases (novel corona virus infections) in an area based on deaths. Based on work by Tomas Pueyo at: https://medium.com/@tomaspueyo/coronavirus-act-today-or-people-will-die-f4d3d9cd99ca

From 3Blue1Brown animated math collection: https://www.3blue1brown.com/

Michael Breuning sings us through online courses.

This recorded webinar gives a short background of the Cell Collective platform, then a how-to with the technology, then a description of how to browse our selection of lessons.

Doesn't require any simulator tools/R code. Just have your students play and look for insights!

Click on the intervention tab to see the #flattenthecurve app.

Online Teaching Toolkit from the Association of College and University Educators

Shared by Jennifer Quinn on MAA Connect

"

• Topic: Step-by-step instructions for setting up a recurring Zoom meeting for your class.
  This is an example of a Doceri recording uploaded to YouTube (set to private and only viewable with link)
   
• Topic: Screen Sharing in Zoom for  remote presentations
  This is an example of a Zoom recording"

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 Sarah Miller:

I've compiled a growing list of resources for moving wet labs to digital, including several from SABER contributions in the past few days, plus many other sources. It's designed for the Tiny Earth CURE, but most of the resources are more general for bio/micro/STEM labs. Email me directly if you have additional resources you'd like added.

Sarah M Miller
University of Wisconsin-Madison

Wisconsin Institute for Discovery
Executive Director of Tiny Earth

From Sarah Miller:

I've compiled a growing list of resources for moving wet labs to digital, including several from SABER contributions in the past few days, plus many other sources. It's designed for the Tiny Earth CURE, but most of the resources are more general for bio/micro/STEM labs. Email me directly if you have additional resources you'd like added.

Sarah M Miller
University of Wisconsin-Madison

Wisconsin Institute for Discovery
Executive Director of Tiny Earth

An editable Google Doc with community resources for teaching online.

List of sections:

• Teaching writing in a time of quick transition

• General shifting-quickly-online resources 

• Affective issues, for faculty and students

• Accessibility  (including surveys you can copy to learn about your students’ tech/materials access)

• General online teaching resources

• Disciplinary resources

• Transitioning Service-Learning Courses

• Resources aimed at students

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 colleague recommended this. He said it is easy to use, students can use it in a breakout session, and you can save the whiteboard when you are done.

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.

A very good blog by Rebecca Barrett-Fox to help keep this exercise in perspective.