COVID-19 - Female Heads of State - 20-11-27

Data from JHU, ca. 9:00 CET

Female Heads of State is a Group with the following members:
Bangladesh - Belgium - Bolivia - Burma - Denmark - Estonia - Ethiopia - Finland - Georgia - Germany - Greece - Iceland - Moldova - Namibia - Nepal - New Zealand - Norway - San Marino - Serbia - Singapore - Slovakia - Sudan - Switzerland - Taiwan

Go to the data tables

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 3789761 624.3 55231 1.48% 1.47%
Active cases 1487441 245.0 18013 1.23% 0.37%
Deaths 68236 11.2 900 1.34% 1.19%
Recovered 2234084368.0363181.65%1.74%
Deaths per infected 1.8%
Recovered per infected58.95%
Active per infected 39.25%
Deaths per recovered 3.05%
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 47d 5h 47d 9h
Time to reach a million cases
Time to saturate the population345d 18h 347d 3h

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 91 49
Active na 60 97
Deaths na 79 39
Recovered na 88 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!


Members of Group: Female Heads of State

Bangladesh - Belgium - Bolivia - Burma - Denmark - Estonia - Ethiopia - Finland - Georgia - Germany - Greece - Iceland - Moldova - Namibia - Nepal - New Zealand - Norway - San Marino - Serbia - Singapore - Slovakia - Sudan - Switzerland - Taiwan

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
Germany83.1491038649317425160117052132.180.672.012.3132d 1h34d 17h1249.1381.819.3848.12.31:44.10.68
Switzerland8.5873182909161945712221001.84-2.812.154.0438d 0h32d 14h3706.81067.053.22586.62.11:48.50.7
Belgium11.52457082955449016339311300.430.30.760.0162d 9h91d 16h4953.24811.4141.80.052.51:1.90.05
Norway5.3683519316867328179981.442.60.650.048d 11h107d 11h655.7314.26.1335.31.81:54.90.51
Denmark5.8237723615592816608281.71.230.681.3941d 4h102d 5h1326.4267.814.01044.71.31:74.60.79
Greece10.725101287761112102230742. 12h16d 19h944.4709.719.6215.29.11:11.00.23
Finland5.528237666573393168001.890.460.691.9636d 22h101d 1h430.0118.97.1303.92.31:42.70.71
Iceland0.36453461762651440.26- 17h1468.748.47.11413.20.51:196.10.96
Estonia1.32811323450910467103.092.142.392.722d 17h29d 7h852.4339.47.8505.11.61:64.50.59
Taiwan23.6046397775550.710.320.00.2598d 11h2.
Slovakia5.45610310643050771592851.39-2.332.234.2350d 5h31d 10h1889.6789.014.11086.51.31:76.90.57
Serbia6.9641559941545711423155645.194.162.650.013d 16h26d 11h2240.12219.620.40.09.11:10.90.1
Moldova2.682104140100932250917971.24-7.890.732.6456d 10h94d 17h3883.4376.483.93423.12.51:40.80.88
Georgia3.7241234702003911611022703.350.742.872.9121d 1h24d 11h3316.0538.231.22746.61.11:87.70.83
New Zealand4.9722050692519560.24.990.00.03353d 7h41.21.40.539.31.31:78.10.95
Bangladesh168.3044587117849165443736760.5-0.020.420.49138d 1h164d 10h272.546.63.9222.01.81:57.10.81
Ethiopia98.665108438392461686675060. 21h229d 20h109.939.81.768.42.51:40.00.62
Namibia2.45914207670149133880.496.10.280.2142d 2h251d 14h577.827.26.1544.51.11:90.10.94
Sudan42.361168645685121599641. 22h231d 22h39.813.42.923.512.21:8.20.59
Nepal29.612293431847314352094350.81-3.351.341.0386d 5h51d 22h774.662.44.8707.30.71:144.90.91
Burma68.6786633187961865659721. 21h57d 22h126.227.42.796.12.81:35.30.76
Female Heads of State607.07378976114874416823622340841.470.371.191.7447d 9h58d 17h624.3245.011.2368.03.01:32.80.59

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
Deaths per infected ... days agoPossible
Total %
absolute values% / ratio0d5d7d10d14d
New Zealand4.9722050692519561.31:78.10.950. Zealand
Female Heads of State607.07378976114874416823622340843.01:32.80.590. Heads of State

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