COVID-19 - Qatar - 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 634 23.077 44 7.5% 3.8%
Active cases 586 21.33 41 7.5% 2.4%
Deaths 0 0.0 % %
Recovered 481.74736.7%1.9%

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 9d 14h 18d 14h
Time to reach a million cases 101d 19h197d 10h
Time to saturate the population115d 18h 224d 12h

Deaths per infected 0.0%
Recovered per infected7.6%
Active per infected 92.4%
Deaths per recovered 0.0%

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 131
Total casesCases per 100.000Average grow rate (5 days)
Infected 55 33 155
Active 55 32 150
Deaths 125 124 117
Recovered 125 20 82
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