The following graphs have been assembled from publically available data about infection timeseries in various countries that are of some particular interest to me or some friends - this in no way means that the development in other countries is less important or more or less severe. Note that there is no guarantee for correctness and that there is no consideration of various effects like testing bias, reporting errors, etc.
Currently this page should be updated once or twice a day depending on the (multiple) external datasources
All counts in the following graphs have been normalized against the total population in the respective countries to allow some coarse comparison between different countried. Please note that direct comparison is not totally possible since the spreading effect is basically a distribution among a connected graph - so distribution inside a larger population starts slower and will speed up faster in case all other conditions are equal. Also note that severity of the situation highly depends on local medical capacity as well as diagnostic coverage.
Growth is simply the differential of the total numbers
Rate of deaths in relation to confirmed infections. Note that this plot only starts at 1st February because some counting artifacts lead to a 100% lethal rate in Hubei at day 0.
Since many of my my friends tried to interpret that as a difference in the lethality of the virus - please be cautious with such interpretation. This statistic is heavily influenced by testing strategries, measures taken, hospital occupancy, methology at counting of lethal cases, etc.
sum up the absolute growth of known cases.
I started data gathering for these graphs in late April 2021
since I'm interested in a specific effect during the next few months.