COVID-19 - Korea, South - 21-04-18

Data from JHU, ca. 9:00 CET

Korea, South is included in the following groups: G20 - Flatliners - Eastern Asia - Asia - UNR Asia and the Pacific Group - WHO Western Pacific Region
Korea, South has a landborder to: Korea, North

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 114646 221.4 531 0.47% 0.57%
Active cases 8894 17.2 58 0.66% 0.87%
Deaths 1801 3.5 4 0.22% 0.25%
Recovered 103951200.84690.45%0.56%
Deaths per infected 1.57%
Recovered per infected90.67%
Deaths per recovered 1.73%

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: 194Population 27
Incidence: 121R7 Value 77
Total casesCases per 100.000Average grow rate (7 days)
Infected 86 134 60
Active 78 124 61
Deaths 86 135 102
Recovered 86 135 78
The ranking is made over all groups and countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!

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 over the last seven 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 weeks rate
Time to double active cases 80d 2h
Time to double total cases 121d 4h
Time to reach a million cases >1yr
Time to saturate the populationstable


Neighbours of Korea, South

Korea, North

Korea, South in its groups

G20 - Flatliners - Eastern Asia - Asia - UNR Asia and the Pacific Group - WHO Western Pacific Region