The following charts are based on live data from https://github.com/pomber/covid19, which in turn sources jhu.edu.
However, this representation is numerically unstable as it diverges to infinity as the infection rate approaches to 1.0.
It is very similar the infection rate. However, instead of comparing the the absolute number of confirmed from day to day, the change in confirmed over a period of time is used. Therefore, R becomes 0.0 if there are no new infections.
This measures the number of infected per 100.000 over the last 7-Days. This too, measures the effective reproduction of the virus. But the different unit makes this more understandable I guess.
A significant increase of the fatality rate indicates that
Conversely, a decrase of the fatality rate indicates that
However, the mortality rate is a better indicator of the influence of the pandepic on a countries society and economy - especially when the health-system is exhausted.