COVID-19 - UNR African Group - 20-11-27

Data from JHU, ca. 9:00 CET

UNR African Group is a Group with the following members:
Algeria - Angola - Benin - Botswana - Burkina Faso - Burundi - Cameroon - Central African Republic - Chad - Comoros - Congo (Brazzaville) - Congo (Kinshasa) - Cote d'Ivoire - Djibouti - Egypt - Equatorial Guinea - Eritrea - Eswatini - Ethiopia - Gabon - Gambia - Ghana - Guinea - Guinea-Bissau - Kenya - Lesotho - Liberia - Libya - Madagascar - Malawi - Mali - Mauritius - Mayotte - Morocco - Mozambique - Namibia - Niger - Nigeria - Reunion - Rwanda - Sao Tome and Principe - Senegal - Seychelles - Sierra Leone - Somalia - South Africa - South Sudan - Sudan - Tanzania - Togo - Tunisia - Uganda - Western Sahara - Zambia - Zimbabwe

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 2117926 165.4 15511 0.74% 0.64%
Active cases 278413 21.7 193 0.07% 0.2%
Deaths 50988 4.0 319 0.63% 0.49%
Recovered 1788525139.7149990.85%0.54%
Deaths per infected 2.41%
Recovered per infected84.45%
Active per infected 13.15%
Deaths per recovered 2.85%
Projection:
Total Case Percentage
1.08%

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 94d 7h 109d 4h
Time to reach a million cases
Time to saturate the populationstable 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: 192Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 114 96
Active na 113 108
Deaths na 106 74
Recovered na 107 75
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: UNR African Group

Algeria - Angola - Benin - Botswana - Burkina Faso - Burundi - Cameroon - Central African Republic - Chad - Comoros - Congo (Brazzaville) - Congo (Kinshasa) - Cote d'Ivoire - Djibouti - Egypt - Equatorial Guinea - Eritrea - Eswatini - Ethiopia - Gabon - Gambia - Ghana - Guinea - Guinea-Bissau - Kenya - Lesotho - Liberia - Libya - Madagascar - Malawi - Mali - Mauritius - Mayotte - Morocco - Mozambique - Namibia - Niger - Nigeria - Reunion - Rwanda - Sao Tome and Principe - Senegal - Seychelles - Sierra Leone - Somalia - South Africa - South Sudan - Sudan - Tanzania - Togo - Tunisia - Uganda - Western Sahara - Zambia - Zimbabwe

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
Egypt100.15114832583466081023900.324.080.150.08218d 17h>1yr114.75.86.6102.26.51:15.50.89
South Africa58.77578194137687213787228760.372.350.370.18188d 6h189d 7h1330.464.136.41229.93.01:33.80.92
Algeria43.080168258502372519461.381.330.71.0250d 14h100d 1h186.460.15.5120.84.61:21.90.65
Morocco35.8453452764555156892940361.22-1.631.121.3957d 1h62d 10h963.2127.115.9820.31.91:51.80.85
Tunisia11.72293770222003106684641.12-1.421.471.6262d 11h47d 12h799.9189.426.5584.14.51:22.00.73
Burkina Faso20.8728161696825790.591.070.00.28118d 11h13.50.80.312.42.61:37.90.92
Senegal16.2091598180332155690.123.30.060.09>1yrstable98.60.52.096.12.11:46.90.97
Congo (Kinshasa)91.93112470642333114950.473.140.360.34147d 3h190d 9h13.60.70.412.52.91:34.50.92
Cameroon26.546241171503437221770.59.640.090.0139d 21hstable90.95.71.683.52.01:50.80.92
Nigeria206.146722033631171626860.250.530.030.16276d 13hstable32.61.60.630.41.91:53.50.93
Ghana30.28151225775323501270.14-7.260.00.29>1yr169.22.61.1165.50.61:156.20.98
Cote d'Ivoire23.7421232228131208730.090.820.00.05stable89.41.00.687.90.61:158.70.98
Rwanda12.37458724284753970.720.490.00.6996d 11h47.53.50.443.60.91:114.90.92
Ethiopia98.665108438392461686675060.50.280.30.4139d 21h229d 20h109.939.81.768.42.51:40.00.62
Kenya47.56481656260901441541251.080.540.670.7764d 5h103d 8h171.754.93.0113.82.71:37.60.66
Mauritius1.26650148104430.28-1.140.00.32245d 23h39.63.80.835.02.31:44.20.88
Tanzania55.891509305211830.00.00.00.00.90.50.00.311.51:8.70.36
Equatorial Guinea1.3585146568550050.06-2.740.00.12stable378.94.16.3368.51.71:58.80.97
Congo (Brazzaville)5.24457746929449880.5-13.330.05.67137d 19h110.113.21.895.11.91:53.20.86
Namibia2.45914207670149133880.496.10.280.2142d 2h251d 14h577.827.26.1544.51.11:90.10.94
Liberia4.47515951698313430.564.140.240.14123d 10h284d 12h35.63.81.930.06.21:16.20.84
Benin11.73329743524325790.43.950.00.0174d 14h25.33.00.422.01.71:59.90.87
Sudan42.361168645685121599641.02.140.30.4669d 22h231d 22h39.813.42.923.512.21:8.20.59
Zambia17.38117569367357168450.172.70.00.09>1yr101.12.12.196.92.11:47.20.96
Gabon2.1739191955990370.130.470.00.09>1yr423.04.42.7416.00.71:153.80.98
Somalia15.893445192111334170.030.020.00.03stable28.05.80.721.53.31:30.20.77
Togo7.53829264616424010.58-1.390.00.85120d 10h38.86.10.831.92.71:37.50.82
Central African Republic5.496491329266319240.010.010.00.0stable89.453.21.135.03.31:30.60.39
Niger22.31514722107011921.487.780.00.2747d 6h6.60.90.35.35.91:17.00.81
Guinea12.2181303998176119820.330.830.270.14210d 6h260d 6h106.78.00.698.10.61:158.70.92
Chad15.69316636310114990.25-1.630.00.37272d 14h10.60.40.69.66.71:14.80.9
Djibouti1.0785676396155760.03-4.620.00.08stable526.33.65.7517.11.11:91.70.98
Eswatini1.093636228312059590.463.130.00.24152d 8h582.025.911.0545.12.01:49.80.94
Gambia2.34837311812335900.03-3.970.00.03stable158.90.85.2152.93.41:29.20.96
Madagascar25.6817341433251166570.00.00.00.067.51.71.064.91.51:66.20.96
Zimbabwe15.16971496927584701.056.340.450.3566d 9h155d 14h64.16.41.855.93.21:30.80.87
Angola31.1315008696934276970.70.450.240.7399d 5h293d 9h48.222.41.124.74.41:22.50.51
Eritrea3.55668904770.542.7400.17128d 12h16.22.50.013.60.0na0.84
Mozambique30.07155061747128136310.620.680.640.56112d 18h108d 20h51.65.80.445.30.91:106.40.88
Uganda40.3195881055119788401.741.892.140.5340d 2h32d 18h48.626.20.521.92.21:44.80.45
Libya6.7581273278211153522990.87-0.10.921.0779d 21h75d 14h1204.0412.217.1774.82.21:45.50.64
Guinea-Bissau1.862422704323090.01-4.780.00.2stable130.23.82.3124.11.91:53.80.95
Mali18.434567132714930911.433.380.410.3448d 22h168d 15h24.87.20.816.84.81:20.70.68
Botswana2.251025825103177171.362.140.01.1551d 5h455.9111.61.4343.00.41:250.00.75
Burundi11.4768110515750.573.340.00.0122d 6h5.90.90.05.00.21:588.20.84
Comoros0.856101875850.471.850.00.45148d 11h71.82.10.868.81.21:83.30.96
Lesotho2.1121097874412780.220.550.00.03315d 8h100.037.32.160.63.41:29.10.61
Malawi18.14602438618554530.070.420.00.03stable33.22.11.030.13.41:29.50.91
Sao Tome and Principe0.298540179280.120.530.00.11>1yr492.520.08.5464.01.81:54.60.94
South Sudan12.923104896129540.37-16.970.3325.63186d 16h208d 6h24.00.70.522.92.11:48.50.95
Sierra Leone7.0824105037418330.040.040.00.03stable34.07.11.025.94.01:24.80.76
UNR African Group1280.3921179262784135098817885250.640.20.490.54109d 4h141d 18h165.421.74.0139.72.91:35.10.84

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
Egypt100.15114832583466081023906.51:15.50.890.060.060.060.060.061.78Egypt
South Africa58.77578194137687213787228763.01:33.80.920.030.030.030.030.039.83South Africa
Algeria43.080168258502372519464.61:21.90.650.030.030.030.030.041.49Algeria
Morocco35.8453452764555156892940361.91:51.80.850.020.020.020.020.024.29Morocco
Tunisia11.72293770222003106684644.51:22.00.730.030.030.040.040.047.16Tunisia
Burkina Faso20.8728161696825792.61:37.90.920.020.020.030.030.030.09Burkina Faso
Senegal16.2091598180332155692.11:46.90.970.020.020.020.020.020.55Senegal
Congo (Kinshasa)91.93112470642333114952.91:34.50.920.030.030.030.030.030.1Congo (Kinshasa)
Cameroon26.546241171503437221772.01:50.80.920.020.020.020.020.020.44Cameroon
Nigeria206.146722033631171626861.91:53.50.930.020.020.020.020.020.15Nigeria
Ghana30.28151225775323501270.61:156.20.980.010.010.010.010.010.29Ghana
Cote d'Ivoire23.7421232228131208730.61:158.70.980.010.010.010.010.010.15Cote d'Ivoire
Rwanda12.37458724284753970.91:114.90.920.010.010.010.010.010.1Rwanda
Ethiopia98.665108438392461686675062.51:40.00.620.020.020.020.020.020.46Ethiopia
Kenya47.56481656260901441541252.71:37.60.660.020.020.020.020.020.82Kenya
Mauritius1.26650148104432.31:44.20.880.020.020.020.020.020.21Mauritius
Tanzania55.8915093052118311.51:8.70.360.040.040.040.040.040.01Tanzania
Equatorial Guinea1.3585146568550051.71:58.80.970.020.020.020.020.021.69Equatorial Guinea
Congo (Brazzaville)5.24457746929449881.91:53.20.860.020.020.020.020.020.48Congo (Brazzaville)
Namibia2.45914207670149133881.11:90.10.940.010.010.010.010.011.64Namibia
Liberia4.47515951698313436.21:16.20.840.050.050.050.050.060.5Liberia
Benin11.73329743524325791.71:59.90.870.010.010.010.010.020.1Benin
Sudan42.3611686456851215996412.21:8.20.590.070.080.080.080.080.78Sudan
Zambia17.38117569367357168452.11:47.20.960.020.020.020.020.020.56Zambia
Gabon2.1739191955990370.71:153.80.980.010.010.010.010.010.73Gabon
Somalia15.893445192111334173.31:30.20.770.030.030.030.030.030.19Somalia
Togo7.53829264616424012.71:37.50.820.020.020.020.020.020.23Togo
Central African Republic5.496491329266319243.31:30.60.390.010.010.010.010.010.31Central African Republic
Niger22.31514722107011925.91:17.00.810.050.050.050.050.050.08Niger
Guinea12.2181303998176119820.61:158.70.920.010.010.010.010.010.17Guinea
Chad15.69316636310114996.71:14.80.90.060.060.060.060.060.17Chad
Djibouti1.0785676396155761.11:91.70.980.010.010.010.010.011.53Djibouti
Eswatini1.093636228312059592.01:49.80.940.020.020.020.020.022.97Eswatini
Gambia2.34837311812335903.41:29.20.960.030.030.030.030.031.42Gambia
Madagascar25.6817341433251166571.51:66.20.960.010.010.010.010.010.26Madagascar
Zimbabwe15.16971496927584703.21:30.80.870.030.030.030.030.030.49Zimbabwe
Angola31.1315008696934276974.41:22.50.510.020.020.020.020.030.3Angola
Eritrea3.55668904770.0na0.840.00.00.00.00.00.0Eritrea
Mozambique30.07155061747128136310.91:106.40.880.010.010.010.010.010.12Mozambique
Uganda40.3195881055119788402.21:44.80.450.010.010.010.010.010.13Uganda
Libya6.7581273278211153522992.21:45.50.640.010.010.020.020.024.62Libya
Guinea-Bissau1.862422704323091.91:53.80.950.020.020.020.020.020.62Guinea-Bissau
Mali18.434567132714930914.81:20.70.680.030.030.040.040.040.22Mali
Botswana2.251025825103177170.41:250.00.750.00.00.00.00.00.37Botswana
Burundi11.4768110515750.21:588.20.840.00.00.00.00.00.0Burundi
Comoros0.856101875851.21:83.30.960.010.010.010.010.010.22Comoros
Lesotho2.1121097874412783.41:29.10.610.020.020.020.020.020.56Lesotho
Malawi18.14602438618554533.41:29.50.910.030.030.030.030.030.28Malawi
Sao Tome and Principe0.298540179281.81:54.60.940.020.020.020.020.022.3Sao Tome and Principe
South Sudan12.923104896129542.11:48.50.950.020.020.020.020.020.13South Sudan
Sierra Leone7.0824105037418334.01:24.80.760.030.030.030.030.030.28Sierra Leone
UNR African Group1280.3921179262784135098817885252.91:35.10.840.020.020.030.030.031.08UNR African Group

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