COVID-19 - G7 - 20-08-02

Data from JHU, ca. 9:00 CET

G7 is a Group with the following members:
Canada - France - Germany - Italy - Japan - US - United Kingdom

Go to the data tables

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 5816632 755.1 50268 0.87% 1.22%
Active cases 3456706 448.7 41994 1.23% 1.03%
Deaths 285725 37.1 434 0.15% 0.4%
Recovered 2074201269.378400.38%1.15%
Deaths per infected 4.91%
Recovered per infected35.66%
Active per infected 59.43%
Deaths per recovered 13.78%
Total Case Percentage

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 79d 20h 57d 6h
Time to reach a million cases
Time to saturate the population>1yr >1yr

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: 189Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 21 80
Active na 4 89
Deaths na 13 93
Recovered na 41 71
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!


Members of Group: G7

Canada - France - Germany - Italy - Japan - US - United Kingdom

Data by Country

Click on the header to sort - Click on the name for the countries dashboard! - Only countries with more then 100 infections and more then 100.000 citizens are listed!
Click top row to sort:±±±±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredInfectedActiveDeathsRecoveredInfectedDeathsInfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
Germany83.149211220915891541929080.343.270.050.2206d 10hstable254.011.011.0232.04.81:21.10.91
US329.4884667954304440515486014686891.431.10.691.5348d 21h100d 16h1416.7924.047.0445.710.51:9.50.31
France67.06922519811316630268817640.370.680.030.08187d 1hstable335.8168.745.1121.937.01:2.70.36
United Kingdom66.4363063192585894628614440. 22h>1yr461.1389.269.72.23205.432.1:10.0
Japan126.0139116123551013257484.056.330.222.3117d 10h316d 14h31.09.80.820.43.91:25.40.66
Canada37.965118755657789901031880.320.760.060.27215d 0hstable312.817.323.7271.88.71:11.50.87
G7770.365816632345670628572520742011. 6h172d 19h755.1448.737.1269.313.81:7.30.36

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
Deaths per infected ... days agoPossible
Total %
absolute values% / ratio0d5d7d10d14d
United Kingdom66.4363063192585894628614443205.432.1: Kingdom

Heinsberg study

A study of the University of Bonn on the spread of Covid-19 at Heinsberg - the most affected county in Germany - showed a rate of deaths to infected of 0.37%. As this is the first reliable data on this ratio I use it as a projection from the number of reported deaths to the spread of the disease in the whole population, given as percentage. Note that locally other factors, like a developing spread, unreported deaths or a situation where people are more prone to die due to an overstretch of the health system will affect this number. Countries with a different population structure (eg. more young vs. old) may also get other ratios, so take this with a grain of salt - I will keep an eye on the developing scientific results.
Links (German):
Preliminary results - Press coverage: Die Welt