Testing 3

By Dr  Kamuela Yong

Helps readers interpret various models and statistics around COVID-19. Written at the introductory level, could be used for high school or introductory undergraduate.

The use of Google’s tools for collaborative assignment preparation is increasingly common in online courses. The G Suite also offers conferencing capability that some instructors are using for synchronous online meetings.

All of these tools have built-in hotkeys and keyboard shortcuts that enable them to be used completely mouse-free. However, they are often not visible or available by default. The linked page provides lists of these hotkeys and instructions to enable them for each tool.

The ability to use the keyboard is important for students and instructors who cannot or choose not to use a mouse, as well as those who use screen readers and other forms of assistive technology.

Many instructors are suddenly using the Zoom video conference platform to hold synchronous class meetings or virtual office hours with individual students. This page contains a list of hotkeys and keyboard shortcuts for the Zoom desktop clients, as well as instructions for editing them.

This will be a useful reference for any students or instructors who cannot or prefer not to use a mouse, those who use screen reading software, and anyone else who prefers to customize how they interact with this communication tool.

You've seen your friends and colleagues lounging in space, shooting the rapids, or in some other enviable location.  You, too, can travel to foreign locations while sitting in your office on another zoom call.  

"How to" information from zoom: https://support.zoom.us/hc/en-us/articles/210707503-Virtual-Background

Backgrounds: https://www.zoomvirtualbackgrounds.com/

Several graphics around COVID19 and the pandemic, with readings at the bottom of the page and access to underlying data.

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."