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

• Relative counts
  • Total cases (in percent of total population size)
  • Cases growth (in percent of total population size)
  • Deaths (in percent of total population size)
  • Death growth (in percent of total population size)
• Absolute counts
  • Total cases
  • Case growth
  • Deaths
  • Death growth
• Austria
  • Cases (percent of population)
  • Growth (percent of population)
  • Relative growth (percent compared with previous day)
  • Lethal cases (percent of population)
  • Lethal cases growth (percent of population)
  • Relative growth (percent compared with previous day)
• Czech republic
  • Cases (percent of population)
  • Growth (percent of population)
  • Relative growth (percent compared with previous day)
  • Lethal cases (percent of population)
  • Lethal cases growth (percent of population)
  • Relative growth (percent compared with previous day)
• Combined death rates
• Relative and absolute growth by age group in Austria
  • Austria
  • Vienna
  • Vorarlberg
  • Tyrol
  • Styria
  • Salzburg
  • Lower Austria
  • Carinthia
  • Burgenland

Relative counts

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

Total cases (in percent of total population size)

Cases growth (in percent of total population size)

Deaths (in percent of total population size)

Death growth (in percent of total population size)

Absolute counts

Total cases

Case growth

Deaths

Death growth

Austria

Cases (percent of population)

Growth (percent of population)

Relative growth (percent compared with previous day)

Lethal cases (percent of population)

Lethal cases growth (percent of population)

Relative growth (percent compared with previous day)

Czech Republic

Cases (percent of population; Czech republic)

Growth (percent of population; Czech republic)

Relative growth (percent compared with previous day; Czech republic)

Lethal cases (percent of population; Czech republic)

Lethal cases growth (percent of population; Czech republic)

Relative growth (percent compared with previous day; Czech republic)

Combined death rates

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.

Relative and absolute growth by age group in Austria

These graphs sum up the absolute growth the relative amount (per age group) 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.

Austria

Vienna

Vorarlberg

Tyrol

Styria

Salzburg

Lower Austria

Carinthia

Burgenland