I'm not taking sides in the seriousness debate here, but I would point out that statistics such as these are inherently misleading.

The problem is the *"% CASES"* column. As a number that represents confirmed cases, that is as low as the denominator can be (*we can't lower it by "unconfirming" cases*), but, when you factor in what are probably large numbers of unconfirmed cases - either due to mild or no symptoms, or lack of available testing - the number could be much higher. When factoring that in, the adjusted mortality rates would be lower, and perhaps much, much lower.

Basically, all this graph is useful for is trying to get an idea of what your chance of dying is if you test positive, but that creates another statistical problem known as a selection bias - those that test positive are also most likely those that have significant symptoms in the first place, skewing the curve to the right and artificially inflating the mortality rate.