COVID-19 - UNR African Group - 20-09-22

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 1407924 110.0 6785 0.48% 0.55%
Active cases 217204 17.0 -687 -0.32% 0.3%
Deaths 34110 2.7 240 0.71% 0.39%
Recovered 115661090.372320.63%0.48%
Deaths per infected 2.42%
Recovered per infected82.15%
Active per infected 15.43%
Deaths per recovered 2.95%
Projection:
Total Case Percentage
0.72%

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 143d 11h 126d 18h
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: 189Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 110 97
Active na 110 84
Deaths na 100 66
Recovered na 100 84
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
Egypt100.1510225453055806911430.12-7.160.250.72>1yr276d 17h102.15.35.891.06.41:15.70.89
South Africa58.77566328254260161185929040.230.090.280.2296d 9h249d 23h1128.592.327.41008.82.71:36.80.89
Algeria43.050214132181689353070.410.460.30.29168d 21h230d 22h116.830.73.982.14.81:20.90.7
Morocco35.845105346175741889858832.2-0.711.62.3631d 21h43d 17h293.949.05.3239.62.21:45.50.82
Tunisia11.72211260871016423865.817.744.420.3712d 6h16d 0h96.174.31.420.46.91:14.60.21
Burkina Faso20.8719075995612521.543.650.00.3945d 9h9.12.90.36.04.51:22.40.66
Senegal16.209147592836302116210.19-2.570.130.96361d 0h>1yr91.117.51.971.72.61:38.50.79
Congo (Kinshasa)91.93110523241271100110.15-2.410.30.23>1yr232d 8h11.40.30.310.92.71:36.90.95
Cameroon26.546205981058416191240.291.010.050.3239d 21hstable77.64.01.672.02.21:45.90.93
Nigeria206.145761376771100488360.310.30.130.24225d 15h>1yr27.93.70.523.72.21:44.40.85
Ghana30.28146062507297452580.15-0.430.20.16>1yr340d 18h152.11.71.0149.50.71:151.50.98
Cote d'Ivoire23.7419343541120186820.19-3.410.00.33360d 11h81.52.30.578.70.61:156.20.97
Rwanda12.374473817202729910.36-1.023.311.09191d 10h21d 7h38.313.90.224.20.91:111.10.63
Ethiopia98.66570422403041127289911.030.610.891.1267d 19h78d 3h71.440.81.129.43.91:25.70.41
Kenya47.5643721812412659241470.350.250.250.28199d 4h279d 13h78.226.11.450.82.71:36.60.65
Mauritius1.26636718103390.050.00.00.0stable29.01.40.826.83.01:33.90.92
Tanzania55.891509305211830.00.00.00.00.90.50.00.311.51:8.70.36
Equatorial Guinea1.35850184268345090.060.00.00.0stable369.431.46.1332.01.81:54.30.9
Congo (Brazzaville)5.244500210268938870.271.370.230.0252d 15h305d 7h95.419.61.774.12.31:43.70.78
Namibia2.45910607213211683591.030.190.911.0967d 17h76d 3h431.486.74.7339.91.41:71.90.79
Liberia4.4751336368212180.04-0.530.00.07stable29.90.81.827.26.71:14.90.91
Benin11.73322943004019540.120.690.00.04>1yr19.62.60.316.72.01:48.80.85
Sudan42.36113578598283667600.060.060.00.0stable32.114.12.016.012.41:8.10.5
Zambia17.38114389429331136290.65-14.490.310.91106d 6h227d 6h82.82.51.978.42.41:41.20.95
Gabon2.17387047755478750.06-0.580.380.12stable184d 0h400.635.72.5362.50.71:144.90.9
Somalia15.89334654909828770.440.470.00.46158d 0h21.83.10.618.13.41:29.30.83
Togo7.53816833524112900.791.190.00.4987d 21h22.34.70.517.13.21:31.40.77
Central African Republic5.496480229106218300.080.030.00.0stable87.452.91.133.33.41:29.50.38
Niger22.3151193206911040.1711.330.00.0>1yr5.30.10.34.96.21:16.00.93
Guinea12.218103875426597800.451.890.630.3152d 16h110d 9h85.04.40.580.00.71:151.50.94
Chad15.6931155107819670.718.760.00.197d 13h7.40.70.56.28.41:11.90.84
Djibouti1.078540786153380.0311.560.00.01stable501.40.75.7495.01.11:87.70.99
Eswatini1.093530752910646720.44-3.870.190.92156d 19h357d 7h485.548.49.7427.42.31:44.10.88
Gambia2.3483540142811020020.380.160.190.42181d 6h>1yr150.860.84.785.35.51:18.20.57
Madagascar25.68161361167226147430.260.070.820.18263d 6h84d 17h62.84.50.957.41.51:65.40.91
Zimbabwe15.167711150622659790.2-0.440.090.28340d 17hstable50.99.91.539.43.81:26.50.78
Angola31.134236261915514622.262.351.360.6231d 1h51d 7h13.68.40.54.710.61:9.40.35
Eritrea3.53645503090.00.000.010.41.60.08.80.0na0.85
Mozambique30.07711430054540642.922.832.451.9724d 1h28d 14h23.710.00.113.51.11:90.10.57
Uganda40.3671238706427784.545.440.991.8815d 15h70d 10h16.79.60.26.92.31:43.50.41
Libya6.752944613073460159132.662.421.942.0426d 9h36d 2h436.2193.76.8235.72.91:34.60.54
Guinea-Bissau1.8623247363915490.430.50.00.0162d 2h124.939.62.183.32.51:39.70.67
Mali18.43303052112923800.43-0.290.00.57162d 5h16.42.80.712.95.41:18.50.79
Botswana2.2525671930136240.00.00.00.0114.185.80.627.72.11:48.10.24
Burundi11.474741114620.04-15.960.04.71stable4.10.10.04.00.21:454.50.97
Comoros0.854701074530.0-1.430.00.0455.31.20.853.31.61:64.50.96
Lesotho2.111424637337541.441.00.01.9548d 12h67.530.21.635.74.41:22.80.53
Malawi18.145739149517940650.1-0.410.00.26>1yr31.68.21.022.44.41:22.70.71
Sao Tome and Principe0.290813158800.02-6.970.00.16stable454.06.57.5440.01.71:58.80.97
South Sudan12.92266013214912900.470.790.00.0149d 2h20.610.20.410.03.81:26.30.48
Sierra Leone7.0821744507216520.381.460.00.05181d 19h30.76.41.023.34.41:22.90.76
UNR African Group1280.3914079242172043411011566100.550.30.390.48126d 18h178d 11h110.017.02.790.33.01:33.90.82

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
Egypt100.1510225453055806911436.41:15.70.890.060.060.060.060.061.57Egypt
South Africa58.77566328254260161185929042.71:36.80.890.020.020.020.020.037.41South Africa
Algeria43.050214132181689353074.81:20.90.70.030.030.030.040.041.06Algeria
Morocco35.845105346175741889858832.21:45.50.820.020.020.020.020.021.42Morocco
Tunisia11.72211260871016423866.91:14.60.210.010.020.020.020.030.38Tunisia
Burkina Faso20.8719075995612524.51:22.40.660.030.030.030.030.040.07Burkina Faso
Senegal16.209147592836302116212.61:38.50.790.020.020.020.020.020.5Senegal
Congo (Kinshasa)91.93110523241271100112.71:36.90.950.030.030.030.030.030.08Congo (Kinshasa)
Cameroon26.546205981058416191242.21:45.90.930.020.020.020.020.020.42Cameroon
Nigeria206.145761376771100488362.21:44.40.850.020.020.020.020.020.14Nigeria
Ghana30.28146062507297452580.71:151.50.980.010.010.010.010.010.27Ghana
Cote d'Ivoire23.7419343541120186820.61:156.20.970.010.010.010.010.010.14Cote d'Ivoire
Rwanda12.374473817202729910.91:111.10.630.010.010.010.010.010.06Rwanda
Ethiopia98.66570422403041127289913.91:25.70.410.020.020.020.020.020.31Ethiopia
Kenya47.5643721812412659241472.71:36.60.650.020.020.020.020.020.37Kenya
Mauritius1.26636718103393.01:33.90.920.030.030.030.030.030.21Mauritius
Tanzania55.8915093052118311.51:8.70.360.040.040.040.040.040.01Tanzania
Equatorial Guinea1.35850184268345091.81:54.30.90.020.020.020.020.021.65Equatorial Guinea
Congo (Brazzaville)5.244500210268938872.31:43.70.780.020.020.020.020.020.46Congo (Brazzaville)
Namibia2.45910607213211683591.41:71.90.790.010.010.010.010.011.28Namibia
Liberia4.4751336368212186.71:14.90.910.060.060.060.060.060.5Liberia
Benin11.73322943004019542.01:48.80.850.020.020.020.020.020.09Benin
Sudan42.361135785982836676012.41:8.10.50.060.060.060.060.060.53Sudan
Zambia17.38114389429331136292.41:41.20.950.020.020.020.020.030.51Zambia
Gabon2.17387047755478750.71:144.90.90.010.010.010.010.010.67Gabon
Somalia15.89334654909828773.41:29.30.830.030.030.030.030.030.17Somalia
Togo7.53816833524112903.21:31.40.770.020.030.030.030.030.15Togo
Central African Republic5.496480229106218303.41:29.50.380.010.010.010.010.010.3Central African Republic
Niger22.3151193206911046.21:16.00.930.060.060.060.060.060.08Niger
Guinea12.218103875426597800.71:151.50.940.010.010.010.010.010.14Guinea
Chad15.6931155107819678.41:11.90.840.070.070.070.070.080.14Chad
Djibouti1.078540786153381.11:87.70.990.010.010.010.010.011.53Djibouti
Eswatini1.093530752910646722.31:44.10.880.020.020.020.020.022.62Eswatini
Gambia2.3483540142811020025.51:18.20.570.030.030.030.030.031.27Gambia
Madagascar25.68161361167226147431.51:65.40.910.010.010.010.010.010.24Madagascar
Zimbabwe15.167711150622659793.81:26.50.780.030.030.030.030.030.4Zimbabwe
Angola31.1342362619155146210.61:9.40.350.040.040.040.050.050.13Angola
Eritrea3.53645503090.0na0.850.00.00.00.00.00.0Eritrea
Mozambique30.07711430054540641.11:90.10.570.010.010.010.010.010.04Mozambique
Uganda40.3671238706427782.31:43.50.410.010.010.010.010.020.04Uganda
Libya6.752944613073460159132.91:34.60.540.020.020.020.020.021.84Libya
Guinea-Bissau1.8623247363915492.51:39.70.670.020.020.020.020.020.57Guinea-Bissau
Mali18.43303052112923805.41:18.50.790.040.040.040.040.040.19Mali
Botswana2.2525671930136242.11:48.10.240.010.010.010.010.010.16Botswana
Burundi11.474741114620.21:454.50.970.00.00.00.00.00.0Burundi
Comoros0.854701074531.61:64.50.960.010.010.010.020.020.22Comoros
Lesotho2.111424637337544.41:22.80.530.020.020.020.030.030.42Lesotho
Malawi18.145739149517940654.41:22.70.710.030.030.030.030.030.27Malawi
Sao Tome and Principe0.290813158801.71:58.80.970.020.020.020.020.022.03Sao Tome and Principe
South Sudan12.92266013214912903.81:26.30.480.020.020.020.020.020.1South Sudan
Sierra Leone7.0821744507216524.41:22.90.760.030.030.030.030.030.27Sierra Leone
UNR African Group1280.3914079242172043411011566103.01:33.90.820.020.020.030.030.030.72UNR 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