COVID-19 - G7 - 20-11-27

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 20012528 2597.8 290718 1.47% 1.3%
Active cases 12627200 1639.1 146399 1.17% 0.63%
Deaths 458137 59.5 4210 0.93% 0.71%
Recovered 6927191899.21401092.06%1.73%
Deaths per infected 2.29%
Recovered per infected34.61%
Active per infected 63.1%
Deaths per recovered 6.61%
Projection:
Total Case Percentage
16.07%

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 47d 8h 53d 16h
Time to reach a million cases
Time to saturate the population249d 11h 282d 20h

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: 192Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 34 58
Active na 9 83
Deaths na 25 56
Recovered na 55 35
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!

Diagrams

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
infected
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
Italy60.2431538217787893536776966471.77-0.251.193.6539d 10h58d 16h2553.31307.889.11156.47.71:13.00.45
Germany83.1491038649317425160117052132.180.672.012.3132d 1h34d 17h1249.1381.819.3848.12.31:44.10.68
US329.48813088821787651726485849474461.340.750.511.4852d 2h136d 17h3972.52390.580.41501.65.31:18.70.38
France67.06922482092030717519991654930.520.360.90.82134d 20h77d 5h3352.13027.877.5246.831.41:3.20.07
United Kingdom66.436159325015321405764834621.00.820.720.7969d 12h96d 17h2398.22306.286.85.21665.216.7:10.0
Japan126.011427782304120281177091.421.130.541.0649d 0h128d 15h113.318.31.693.41.71:58.10.82
Canada37.96536260459467119162912211.662.120.541.242d 1h127d 18h955.1156.631.4767.14.11:24.40.8
G7770.36200125281262720045813769271911.30.630.711.7353d 16h98d 7h2597.81639.159.5899.26.61:15.10.35

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
infected
Deaths per infected ... days agoPossible
Total %
Country
absolute values% / ratio0d5d7d10d14d
Italy60.2431538217787893536776966477.71:13.00.450.030.040.040.040.0524.08Italy
Germany83.1491038649317425160117052132.31:44.10.680.020.020.020.020.025.2Germany
US329.48813088821787651726485849474465.31:18.70.380.020.020.020.020.0221.73US
France67.069224820920307175199916549331.41:3.20.070.020.020.020.020.0320.95France
United Kingdom66.436159325015321405764834621665.216.7:10.00.040.040.040.040.0423.45United Kingdom
Japan126.011427782304120281177091.71:58.10.820.010.020.020.020.020.43Japan
Canada37.96536260459467119162912214.11:24.40.80.030.030.040.040.048.48Canada
G7770.36200125281262720045813769271916.61:15.10.350.020.020.020.030.0316.07G7

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