COVID-19 - Italy - 20-03-30

Data from JHU, ca. 9:00 CET
absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 97689 162.157 5217 5.6% 7.1%
Active cases 73880 122.636 3815 5.4% 5.4%
Deaths 10779 17.892 756 7.5% 8.1%
Recovered 1303021.6296465.2%8.4%

Gives the time necessary to double the existing infections - to reach a million from the existing status, or to reach the population limit of the given group (which can well be below a million). This assumes the exponential growrate of the last day or average of the last five days continues - which it does not, as there will be saturation towards the maximum. Please take these calulations with two grains of salt. As long as there is turning point in sight the data may well hold, though.
Last days rate Last average rate
Time to double cases 12d 17h 10d 2h
Time to reach a million cases 42d 16h33d 21h
Time to saturate the population117d 21h 93d 15h

Deaths per infected 11.0%
Recovered per infected13.3%
Active per infected 75.6%
Deaths per recovered 82.7%

A ranking may taste a bit fishy, as this is not a competition between countries, but to compare the relative efficiency of measures taken, or for detecting which countries are likely to get critical next, this ranking imho deserves a place in this overview.
Total: 174Population 25
Total casesCases per 100.000Average grow rate (5 days)
Infected 3 8 137
Active 3 9 137
Deaths 2 2 68
Recovered 2 3 69
The ranking is made over all registered countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!

Total Cases

Cases per 100.000

Percentage development

Absolute development (first) with second derivative