COVID-19 Data - Charts and Models

This is the site that Earl linked to a few days ago: An interactive visualization of the exponential spread of COVID-19 - It’s for the U.S. and shows data for each state. it’s updated daily at 7 p.m EDT.

Here is the one the Financial Times has been maintaining.

Coronavirus tracked: the latest figures as the pandemic spreads | Free to read

The FT analyses the scale of outbreaks and the number of deaths in countries around the world

Now using a 7-day rolling average.


I’ve been following this since its inception. If you use the linear scale instead of the default log scale. The linear scale takes the exponents out and is easier to visualize the real world progress.

A different way of visualizing the seven-day average, with choices about what to look at, what states to include if you’re looking at US, and log or lin presentation.

The plot is seven-day rolling confirmed or deaths, against total confirmed or dead. Time is on the animation axis.

Some graphical explanations of Log scale vs linear scale.


IHME seems to be the coronavirus model that shows up the most in the news, this article list six others.


From the article:

Scientists who build models say they find it more useful to look at an ensemble of serious models at once than to rely on one.

“We know there is no perfect model,” said Lauren Ancel Meyers, a professor of integrative biology at the University of Texas, who recommended the ensemble approach as a good way to understand the range of likely outcomes.

Discussion about pandemic models in general here:

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