COVID-19 - UNR African Group - 20-10-09

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 1541937 120.4 8454 0.55% 0.54%
Active cases 225248 17.6 1754 0.78% 0.02%
Deaths 37394 2.9 233 0.63% 0.48%
Recovered 127929599.964670.51%0.5%
Deaths per infected 2.43%
Recovered per infected82.97%
Active per infected 14.61%
Deaths per recovered 2.92%
Projection:
Total Case Percentage
0.79%

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 126d 1h 129d 1h
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 115 98
Active na 108 112
Deaths na 101 69
Recovered na 102 80
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
Egypt100.151042626416029975920.1112.310.120.03>1yr>1yr104.10.66.097.46.21:16.20.94
South Africa58.77568835250724175476200810.210.480.50.13336d 0h137d 17h1171.286.329.91055.02.81:35.30.9
Algeria43.052804139481789370670.250.170.260.21272d 5h266d 13h122.832.44.286.24.81:20.70.7
Morocco35.8451463982084625301230221.90.331.311.6136d 21h53d 9h408.458.27.1343.22.11:48.50.84
Tunisia11.722268992145840950324.05.15.150.017d 16h13d 19h229.5183.13.542.98.11:12.30.19
Burkina Faso20.8722546786015160.79-0.40.341.288d 0h204d 19h10.83.20.37.34.01:25.30.67
Senegal16.209152131764313131360.16-1.760.060.41>1yrstable93.910.91.981.02.41:42.00.86
Congo (Kinshasa)91.93110835317276102420.144.270.150.01>1yr>1yr11.80.30.311.12.71:37.20.95
Cameroon26.54621203663423201170.27-2.080.140.36260d 6h>1yr79.92.51.675.82.11:47.60.95
Nigeria206.145999272651113516140.22-0.770.00.31319d 14h29.13.50.525.02.21:46.30.86
Ghana30.28146987303306463780.07-3.610.20.09stable350d 9h155.21.01.0153.20.71:151.50.99
Cote d'Ivoire23.7420036220120196960.15-5.150.00.18>1yr84.40.90.583.00.61:163.90.98
Rwanda12.374489013053035550.1-4.010.01.97>1yr39.510.50.228.70.81:119.00.73
Ethiopia98.66582662442891271371020.96-0.20.651.9772d 18h107d 10h83.844.91.337.63.41:29.20.45
Kenya47.564406207989755318760.6-8.760.544.49116d 3h128d 5h85.416.81.667.02.41:42.20.78
Mauritius1.26639527103580.529.510.00.06134d 7h31.22.10.828.32.81:35.80.91
Tanzania55.891509305211830.00.00.00.00.90.50.00.311.51:8.70.36
Equatorial Guinea1.3585063868348940.070.740.00.06stable372.76.36.1360.31.71:58.80.97
Congo (Brazzaville)5.244511811419038870.110.00.00.0>1yr97.621.81.774.12.31:43.10.76
Namibia2.45911829192412797780.35-1.750.640.69200d 3h107d 23h481.178.25.2397.71.31:76.90.83
Liberia4.4751360338212450.182.850.00.15>1yr30.40.71.827.86.61:15.20.92
Benin11.73324113974119730.463.150.00.0151d 14h20.53.40.316.82.11:48.10.82
Sudan42.36113670607083667640.020.060.00.0stable32.314.32.016.012.41:8.10.49
Zambia17.38115339564336144390.383.060.120.25183d 10h>1yr88.33.21.983.12.31:42.90.94
Gabon2.17388355925481890.09-2.40.00.24stable406.727.22.5376.90.71:151.50.93
Somalia15.89337456369930100.00.00.00.023.64.00.618.93.31:30.40.8
Togo7.53819214394914330.710.860.420.4897d 14h166d 16h25.55.80.719.03.41:29.20.75
Central African Republic5.496485328776219140.030.060.00.0stable88.352.31.134.83.21:30.90.39
Niger22.315120196911230.02-6.530.00.13stable5.40.00.35.06.11:16.30.94
Guinea12.2181095462168102650.370.450.60.26187d 23h115d 13h89.75.10.684.00.71:151.50.94
Chad15.6931274829011020.926.250.690.4375d 16h100d 10h8.10.50.67.08.21:12.20.86
Djibouti1.078542376153550.01-4.170.00.02stable502.90.65.7496.61.11:87.70.99
Eswatini1.093564427711352540.27-2.720.360.4259d 1h193d 13h516.325.310.3480.62.11:46.50.93
Gambia2.3483621101511724890.15-3.010.351.89>1yr199d 15h154.243.25.0106.04.71:21.30.69
Madagascar25.6816676464237159750.14-9.410.260.54>1yr269d 12h64.91.80.962.21.51:67.60.96
Zimbabwe15.167994129122964740.27-0.370.090.27259d 11hstable52.78.51.542.73.51:28.20.81
Angola31.136031313421226852.243.491.330.4531d 7h52d 9h19.410.10.78.67.91:12.70.45
Eritrea3.54054103640.350.500.34197d 9h11.61.20.010.40.0na0.9
Mozambique30.07974225026971711.16-3.970.63.4160d 1h115d 13h32.48.30.223.81.01:104.20.74
Uganda40.3953835958658571.61-2.120.974.1143d 12h71d 14h23.78.90.214.51.51:68.00.61
Libya6.754136817294621234532.362.290.81.5429d 16h87d 2h612.9256.29.2347.52.61:37.70.57
Guinea-Bissau1.8623856174017280.19-4.060.512.31356d 6h135d 12h128.233.22.292.92.31:43.30.72
Mali18.43324860313125140.40.830.00.22174d 0h17.63.30.713.65.21:19.20.77
Botswana2.2532192367188340.3-0.632.53.49234d 5h28d 1h143.1105.20.837.12.21:46.30.26
Burundi11.475154214720.080.990.00.0stable4.50.40.04.10.21:476.20.92
Comoros0.854951374750.33-0.890.00.38212d 4h58.21.50.855.91.51:68.00.96
Lesotho2.111800832429261.372.761.010.050d 22h68d 18h85.339.42.043.94.51:22.00.51
Malawi18.145813100218046310.09-1.20.110.37stable>1yr32.05.51.025.53.91:25.70.8
Sao Tome and Principe0.292217158900.29.270.00.07352d 13h461.08.57.5445.01.71:59.20.97
South Sudan12.92276114175412900.260.291.20.0271d 10h58d 2h21.411.00.410.04.21:23.90.47
Sierra Leone7.0822955007217230.230.360.00.18304d 0h32.47.11.024.34.21:23.90.75
UNR African Group1280.3915419372252483739412792950.540.020.480.5129d 1h144d 23h120.417.62.999.92.91:34.20.83

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
Egypt100.151042626416029975926.21:16.20.940.060.060.060.060.061.63Egypt
South Africa58.77568835250724175476200812.81:35.30.90.030.030.030.030.038.07South Africa
Algeria43.052804139481789370674.81:20.70.70.030.030.030.030.041.12Algeria
Morocco35.8451463982084625301230222.11:48.50.840.020.020.020.020.021.91Morocco
Tunisia11.722268992145840950328.11:12.30.190.020.020.020.020.030.94Tunisia
Burkina Faso20.8722546786015164.01:25.30.670.030.030.030.030.030.08Burkina Faso
Senegal16.209152131764313131362.41:42.00.860.020.020.020.020.020.52Senegal
Congo (Kinshasa)91.93110835317276102422.71:37.20.950.030.030.030.030.030.08Congo (Kinshasa)
Cameroon26.54621203663423201172.11:47.60.950.020.020.020.020.020.43Cameroon
Nigeria206.145999272651113516142.21:46.30.860.020.020.020.020.020.15Nigeria
Ghana30.28146987303306463780.71:151.50.990.010.010.010.010.010.27Ghana
Cote d'Ivoire23.7420036220120196960.61:163.90.980.010.010.010.010.010.14Cote d'Ivoire
Rwanda12.374489013053035550.81:119.00.730.010.010.010.010.010.07Rwanda
Ethiopia98.66582662442891271371023.41:29.20.450.020.020.020.020.020.35Ethiopia
Kenya47.564406207989755318762.41:42.20.780.020.020.020.020.020.43Kenya
Mauritius1.26639527103582.81:35.80.910.030.030.030.030.030.21Mauritius
Tanzania55.8915093052118311.51:8.70.360.040.040.040.040.040.01Tanzania
Equatorial Guinea1.3585063868348941.71:58.80.970.020.020.020.020.021.65Equatorial Guinea
Congo (Brazzaville)5.244511811419038872.31:43.10.760.020.020.020.020.020.46Congo (Brazzaville)
Namibia2.45911829192412797781.31:76.90.830.010.010.010.010.011.4Namibia
Liberia4.4751360338212456.61:15.20.920.060.060.060.060.060.5Liberia
Benin11.73324113974119732.11:48.10.820.020.020.020.020.020.09Benin
Sudan42.361136706070836676412.41:8.10.490.060.060.060.060.060.53Sudan
Zambia17.38115339564336144392.31:42.90.940.020.020.020.020.020.52Zambia
Gabon2.17388355925481890.71:151.50.930.010.010.010.010.010.67Gabon
Somalia15.89337456369930103.31:30.40.80.030.030.030.030.030.17Somalia
Togo7.53819214394914333.41:29.20.750.030.030.030.030.030.18Togo
Central African Republic5.496485328776219143.21:30.90.390.010.010.010.010.010.3Central African Republic
Niger22.315120196911236.11:16.30.940.060.060.060.060.060.08Niger
Guinea12.2181095462168102650.71:151.50.940.010.010.010.010.010.15Guinea
Chad15.6931274829011028.21:12.20.860.070.070.070.070.080.16Chad
Djibouti1.078542376153551.11:87.70.990.010.010.010.010.011.53Djibouti
Eswatini1.093564427711352542.11:46.50.930.020.020.020.020.022.79Eswatini
Gambia2.3483621101511724894.71:21.30.690.030.030.030.030.031.35Gambia
Madagascar25.6816676464237159751.51:67.60.960.010.010.010.010.010.25Madagascar
Zimbabwe15.167994129122964743.51:28.20.810.030.030.030.030.030.41Zimbabwe
Angola31.136031313421226857.91:12.70.450.040.040.040.040.050.18Angola
Eritrea3.54054103640.0na0.90.00.00.00.00.00.0Eritrea
Mozambique30.07974225026971711.01:104.20.740.010.010.010.010.010.06Mozambique
Uganda40.3953835958658571.51:68.00.610.010.010.010.010.010.06Uganda
Libya6.754136817294621234532.61:37.70.570.010.020.020.020.022.49Libya
Guinea-Bissau1.8623856174017282.31:43.30.720.020.020.020.020.020.58Guinea-Bissau
Mali18.43324860313125145.21:19.20.770.040.040.040.040.040.19Mali
Botswana2.2532192367188342.21:46.30.260.010.010.010.010.010.22Botswana
Burundi11.475154214720.21:476.20.920.00.00.00.00.00.0Burundi
Comoros0.854951374751.51:68.00.960.010.010.010.010.010.22Comoros
Lesotho2.111800832429264.51:22.00.510.020.020.030.030.030.54Lesotho
Malawi18.145813100218046313.91:25.70.80.030.030.030.030.030.27Malawi
Sao Tome and Principe0.292217158901.71:59.20.970.020.020.020.020.022.03Sao Tome and Principe
South Sudan12.92276114175412904.21:23.90.470.020.020.020.020.020.11South Sudan
Sierra Leone7.0822955007217234.21:23.90.750.030.030.030.030.030.27Sierra Leone
UNR African Group1280.3915419372252483739412792952.91:34.20.830.020.020.030.030.030.79UNR 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