COVID-19 - South Africa - 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 1280 2.178 93 7.8% 18.8%
Active cases 1249 2.125 93 8.0% 16.8%
Deaths 0 0.0 % %
Recovered 310.05300.0%71.7%

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 5h 4d 0h
Time to reach a million cases 88d 16h38d 15h
Time to saturate the population142d 22h 62d 7h

Deaths per infected 0.0%
Recovered per infected2.4%
Active per infected 97.6%
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 26
Total casesCases per 100.000Average grow rate (5 days)
Infected 39 87 52
Active 36 84 46
Deaths 117 116 109
Recovered 117 84 10
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