COVID-19 - Lebanon - 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 438 6.417 26 6.3% 6.6%
Active cases 398 5.831 24 6.4% 4.2%
Deaths 10 0.147 2 25.0% 16.7%
Recovered 300.4400.0%38.7%

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 11d 8h 10d 20h
Time to reach a million cases 126d 13h120d 23h
Time to saturate the population158d 0h 151d 1h

Deaths per infected 2.3%
Recovered per infected6.8%
Active per infected 90.9%
Deaths per recovered 33.3%

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 101
Total casesCases per 100.000Average grow rate (5 days)
Infected 65 65 142
Active 63 66 144
Deaths 54 45 47
Recovered 54 45 20
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