COVID-19 - Female Heads of State - 20-09-22

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 1305035 215.0 10985 0.85% 0.8%
Active cases 369561 60.9 1505 0.41% 0.78%
Deaths 40550 6.7 163 0.4% 0.25%
Recovered 894924147.493171.05%0.59%
Deaths per infected 3.11%
Recovered per infected68.57%
Active per infected 28.32%
Deaths per recovered 4.53%
Projection:
Total Case Percentage
1.81%

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 81d 23h 86d 11h
Time to reach a million cases
Time to saturate the population>1yr stable

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 90 71
Active na 70 73
Deaths na 68 83
Recovered na 89 73
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
Germany83.1492774122331494052446930.612.080.030.35113d 4hstable333.628.011.3294.33.81:26.00.88
Switzerland8.5875066465102054421000.762.90.080.391d 19hstable590.075.823.9490.34.91:20.50.83
Belgium11.524105226762329955190391.441.480.030.1348d 12hstable913.1661.586.4165.252.31:1.90.18
Norway5.368131532515267103710.793.380.080.087d 18hstable245.046.95.0193.22.61:38.90.79
Denmark5.823242615157641184632.135.240.160.9332d 21h>1yr416.788.611.0317.13.51:28.80.76
Greece10.725159281422935213472.041.791.150.034d 7h60d 20h148.5132.73.312.626.11:3.80.08
Finland5.5289195115434177000.895.790.120.078d 15h>1yr166.320.96.2139.34.41:22.60.84
Singapore5.7045762733827572620.03-6.130.00.07stable1010.45.90.51004.00.11:2000.00.99
Iceland0.36424192791021301.8725.970.00.1237d 10h664.676.62.7585.20.51:212.80.88
Estonia1.32829765276423851.395.810.00.3650d 6h224.039.74.8179.52.71:37.30.8
Taiwan23.6045092374790.245.130.00.04291d 22h2.20.10.02.01.51:68.50.94
Slovakia5.456693132234036682.863.170.01.6824d 13h127.059.10.767.21.11:91.70.53
Serbia6.9643299932256743155640.190.150.140.0>1yr>1yr473.9463.210.70.04.81:21.00.47
Moldova2.68247446106741230355421.070.030.691.0564d 22h100d 9h1769.3398.045.91325.43.51:28.90.75
Georgia3.724391323162315745.917.511.051.5312d 1h66d 4h105.162.20.642.31.51:68.50.4
New Zealand4.9721824622517370.17-2.520.00.17>1yr36.71.20.534.91.41:69.40.95
Bangladesh168.3043521788638150072607900.46-0.470.490.66152d 11h141d 22h209.351.33.0155.01.91:52.10.74
Bolivia11.47131453329077693908530.31-0.650.380.57222d 4h183d 16h1146.1286.967.1792.18.51:11.80.69
Ethiopia98.66570422403041127289911.030.610.891.1267d 19h78d 3h71.440.81.129.43.91:25.70.41
Namibia2.45910607213211683591.030.190.911.0967d 17h76d 3h431.486.74.7339.91.41:71.90.79
Sudan42.36113578598283667600.060.060.00.0stable32.114.12.016.012.41:8.10.5
Nepal29.616663218142429480612.271.672.211.9330d 22h31d 18h225.061.31.4162.30.91:112.40.72
Burma68.6769594892116195110.148.5510.689.127d 4h6d 19h10.17.10.22.86.01:16.80.28
Female Heads of State607.071305035369561405508949240.80.780.250.5986d 11h273d 3h215.060.96.7147.44.51:22.10.69

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
Germany83.1492774122331494052446933.81:26.00.880.030.030.040.040.043.06Germany
Switzerland8.5875066465102054421004.91:20.50.830.040.040.040.040.056.47Switzerland
Belgium11.5241052267623299551903952.31:1.90.180.090.10.10.110.1123.35Belgium
Norway5.368131532515267103712.61:38.90.790.020.020.020.020.021.34Norway
Denmark5.823242615157641184633.51:28.80.760.030.030.030.030.032.98Denmark
Greece10.7251592814229352134726.11:3.80.080.020.020.030.030.030.89Greece
Finland5.5289195115434177004.41:22.60.840.040.040.040.040.041.67Finland
Singapore5.7045762733827572620.11:2000.00.990.00.00.00.00.00.13Singapore
Iceland0.36424192791021300.51:212.80.880.00.00.00.00.00.74Iceland
Estonia1.32829765276423852.71:37.30.80.020.020.020.020.021.3Estonia
Taiwan23.6045092374791.51:68.50.940.010.010.010.010.010.01Taiwan
Slovakia5.456693132234036681.11:91.70.530.010.010.010.010.010.2Slovakia
Serbia6.9643299932256743155644.81:21.00.470.020.020.020.020.022.88Serbia
Moldova2.68247446106741230355423.51:28.90.750.030.030.030.030.0312.4Moldova
Georgia3.724391323162315741.51:68.50.40.010.010.010.010.010.17Georgia
New Zealand4.9721824622517371.41:69.40.950.010.010.010.010.010.14New Zealand
Bangladesh168.3043521788638150072607901.91:52.10.740.010.010.010.010.020.8Bangladesh
Bolivia11.47131453329077693908538.51:11.80.690.060.060.060.060.0618.13Bolivia
Ethiopia98.66570422403041127289913.91:25.70.410.020.020.020.020.020.31Ethiopia
Namibia2.45910607213211683591.41:71.90.790.010.010.010.010.011.28Namibia
Sudan42.361135785982836676012.41:8.10.50.060.060.060.060.060.53Sudan
Nepal29.616663218142429480610.91:112.40.720.010.010.010.010.010.39Nepal
Burma68.676959489211619516.01:16.80.280.020.030.030.040.060.05Burma
Female Heads of State607.071305035369561405508949244.51:22.10.690.030.030.030.030.031.81Female 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