How Math Predicts the Coronavirus Curve

Rated 1 out of 5 by from Gratuitous soundtrack I started listening and just had to stop. Pseudomusic has no place in a lecture. Alas, I will never know if it is any good.
Date published: 2021-03-10
Rated 2 out of 5 by from irresponsible the logarithmic modeling is true as far as it goes, but as a basis for public policy or even for understanding how disease work in real life, it's woefully incomplete; and for a subject as serious as the current COVID crisis, it's simply irresponsible, and incorrect. There's nothing here about diseases mutating and changing the nature of their effects over time; also nothing about improvements in treatment changing the nature of the disease's effects over time; nothing about seasonal behavioral changes which drive infection rates... the blithe concluding recommendation that everyone copy China's lockdown methods is stunning in its ignorance; so too is the incorrect reference to handwashing as an effective prevention methodology... I was hoping for a discussion of past epidemics and their patterns, but there was none of that. This professor knows math, but he doesn't know virology or epidemiology, and it would be better for him to stay in his lane.
Date published: 2020-12-16
Rated 5 out of 5 by from The simplicity, is in itself, mind-blowing! I especially like how this video breaks down complicated probability models into something simple enough to understand without taking a college-level Probability or Statistics course. This is especially important to understand the real-world application of math in predicting Expectant Value Outcomes to the layman or average Joe off the streets or high school students in our online classrooms. This is a terrific representation of mathematics in motion and how its application is, in itself, hugely significant in our everyday life. This video is a MUST-SEE for anyone even remotely interested in marrying math with real-world scenarios. I strongly recommend it to everyone!
Date published: 2020-10-17
Rated 5 out of 5 by from How timely and important. Excellent presentation, with striking display of algorithmic versus arithmetic growth.
Date published: 2020-10-02
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How Math Predicts the Coronavirus Curve
1: How Math Predicts the Coronavirus Curve

Professor David Kung introduces you to the way math can be used to predict the future. Starting with a simple model of change and then pulling in actual data from the coronavirus outbreak, he displays how to apply an exponential growth model—and how to account for real-world factors—to determine the likely rate of growth and number of potential cases, demonstrating how taking action quickly can be vital for saving lives.

16 min