COVID-19 - Female Heads of State - 20-10-09

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 1548745 255.1 21644 1.42% 1.26%
Active cases 471194 77.6 13090 2.86% 1.39%
Deaths 43205 7.1 208 0.48% 0.31%
Recovered 1034346170.483460.81%0.83%
Deaths per infected 2.79%
Recovered per infected66.79%
Active per infected 30.42%
Deaths per recovered 4.18%
Projection:
Total Case Percentage
1.92%

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 49d 6h 55d 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 95 53
Active na 68 71
Deaths na 74 87
Recovered na 89 62
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: 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
infected
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
Germany83.1493204953717895992737181.222.840.030.7556d 22hstable385.444.711.5329.23.51:28.50.85
Switzerland8.5876036898802088484002.115.890.11.1233d 4h>1yr703.0115.124.3563.74.31:23.20.8
Belgium11.52414898111875810151200722.732.480.120.3125d 17h>1yr1292.71030.588.1174.250.61:2.00.13
Norway5.368153883250275118631.260.90.01.255d 12h286.760.55.1221.02.31:43.10.77
Denmark5.823321315491665259751.27-2.40.211.8454d 23h327d 2h551.894.311.4446.12.61:39.10.81
Greece10.725217721999443113471.871.631.010.037d 7h69d 1h203.0186.44.012.632.01:3.10.06
Finland5.52811580273434685001.914.00.060.9936d 17hstable209.549.56.3153.84.11:24.60.73
Singapore5.7045785915727576750.02-5.750.00.03stable1014.42.80.51011.20.11:2000.01.0
Iceland0.36433739151024482.926.00.01.1524d 1h926.6251.42.7672.50.41:243.90.73
Estonia1.32838098356829061.11.940.00.5463d 13h286.762.95.1218.82.31:42.70.76
Taiwan23.6045273274880.383.00.00.12180d 20h2.20.10.02.11.41:69.90.93
Slovakia5.45616910114015754525.24.620.732.113d 16h95d 15h309.9208.91.099.91.11:95.20.32
Serbia6.9643451733756761155640.360.260.160.0192d 10h>1yr495.7484.710.90.04.91:20.40.45
Moldova2.68260833159021442434891.461.680.840.9847d 18h83d 5h2268.4593.053.81621.73.31:30.10.71
Georgia3.7241075248147258665.783.825.765.5712d 7h12d 9h288.8129.31.9157.51.21:81.30.55
New Zealand4.9721870442518010.160.820.00.11>1yr37.60.90.536.21.41:71.90.96
Bangladesh168.3043758708048154772899120.39-0.210.420.47179d 16h167d 2h223.347.83.3172.31.91:52.90.77
Bolivia11.471382262961782621003470.2-0.840.310.46351d 0h222d 16h1205.1258.272.0874.98.21:12.20.73
Ethiopia98.66582662442891271371020.96-0.20.651.9772d 18h107d 10h83.844.91.337.63.41:29.20.45
Namibia2.45911829192412797780.35-1.750.640.69200d 3h107d 23h481.178.25.2397.71.31:76.90.83
Sudan42.36113670607083667640.020.060.00.0stable32.314.32.016.012.41:8.10.49
Nepal29.6110067627053600730233.013.851.982.1823d 8h35d 7h340.091.42.0246.60.81:122.00.73
Burma68.67239061660256667386.095.025.414.1711d 17h13d 3h34.824.20.89.88.41:11.90.28
Female Heads of State607.0715487454711944320510343461.261.390.310.8355d 6h225d 7h255.177.67.1170.44.21:23.90.67

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
Germany83.1493204953717895992737183.51:28.50.850.030.030.030.030.033.12Germany
Switzerland8.5876036898802088484004.31:23.20.80.030.040.040.040.046.57Switzerland
Belgium11.524148981118758101512007250.61:2.00.130.070.080.080.090.0923.81Belgium
Norway5.368153883250275118632.31:43.10.770.020.020.020.020.021.38Norway
Denmark5.823321315491665259752.61:39.10.810.020.020.020.020.023.09Denmark
Greece10.7252177219994431134732.01:3.10.060.020.020.020.020.031.09Greece
Finland5.52811580273434685004.11:24.60.730.030.030.030.030.041.69Finland
Singapore5.7045785915727576750.11:2000.01.00.00.00.00.00.00.13Singapore
Iceland0.36433739151024480.41:243.90.730.00.00.00.00.00.74Iceland
Estonia1.32838098356829062.31:42.70.760.020.020.020.020.021.38Estonia
Taiwan23.6045273274881.41:69.90.930.010.010.010.010.010.01Taiwan
Slovakia5.45616910114015754521.11:95.20.320.00.00.00.010.010.28Slovakia
Serbia6.9643451733756761155644.91:20.40.450.020.020.020.020.022.95Serbia
Moldova2.68260833159021442434893.31:30.10.710.020.030.030.030.0314.53Moldova
Georgia3.7241075248147258661.21:81.30.550.010.010.010.010.010.52Georgia
New Zealand4.9721870442518011.41:71.90.960.010.010.010.010.010.14New Zealand
Bangladesh168.3043758708048154772899121.91:52.90.770.010.010.010.020.020.88Bangladesh
Bolivia11.471382262961782621003478.21:12.20.730.060.060.060.060.0619.47Bolivia
Ethiopia98.66582662442891271371023.41:29.20.450.020.020.020.020.020.35Ethiopia
Namibia2.45911829192412797781.31:76.90.830.010.010.010.010.011.4Namibia
Sudan42.361136706070836676412.41:8.10.490.060.060.060.060.060.53Sudan
Nepal29.6110067627053600730230.81:122.00.730.010.010.010.010.010.55Nepal
Burma68.67239061660256667388.41:11.90.280.020.030.030.040.060.22Burma
Female Heads of State607.0715487454711944320510343464.21:23.90.670.030.030.030.030.031.92Female 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