COVID-19 - Africa - 20-08-06

Data from JHU, ca. 9:00 CET

Africa 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 - Mauritania - 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 1005425 78.3 14213 1.43% 1.3%
Active cases 295102 23.0 -2575 -0.87% -1.51%
Deaths 22043 1.7 431 1.99% 1.62%
Recovered 68828053.6163572.43%2.26%
Deaths per infected 2.19%
Recovered per infected68.46%
Active per infected 29.35%
Deaths per recovered 3.2%
Projection:
Total Case Percentage
0.46%

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 48d 16h 53d 17h
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 101 66
Active na 89 139
Deaths na 99 39
Recovered na 95 36
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: Africa

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 - Mauritania - 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
Egypt100.1595006411574951488980.15-2.420.392.79>1yr176d 3h94.941.14.948.810.11:9.90.51
South Africa58.77553818414126496043873161.35-1.232.681.9651d 16h26d 5h915.7240.316.3659.02.51:40.30.72
Algeria43.03362691151273232381.670.570.611.6841d 19h113d 3h78.221.23.054.05.51:18.20.69
Morocco35.845296448642449205533.463.933.472.1820d 9h20d 7h82.724.11.357.32.21:45.90.69
Tunisia11.72216423505112411.142.250.00.2661d 7h14.03.00.410.64.11:24.30.76
Burkina Faso20.871158143549610.26-0.330.380.26265d 12h184d 0h5.50.70.34.65.61:17.80.83
Senegal16.20910715339122371010.830.480.850.4884d 7h81d 22h66.120.91.443.83.11:31.80.66
Congo (Kinshasa)91.9319309104621580480.49-7.670.02.17141d 14h10.11.10.28.82.71:37.50.86
Cameroon26.546177182007391153200.546.00.00.0129d 12h66.77.61.557.72.51:39.20.86
Nigeria206.144524411884930324300.77-9.440.9811.690d 2h71d 2h21.95.80.515.72.91:34.80.72
Ghana30.281396423059199363841.39-0.891.831.350d 5h38d 6h130.910.10.7120.20.61:181.80.92
Cote d'Ivoire23.74164473860103124840.42-0.950.20.74166d 20h353d 20h69.316.30.452.60.81:120.50.76
Rwanda12.3742111848512580.67-1.230.02.04104d 2h17.16.90.010.20.41:250.00.6
Ethiopia98.665209001150836590273.041.594.683.6523d 4h15d 3h21.211.70.49.14.01:24.80.43
Kenya47.5642441113568399104442.71.521.453.3925d 23h48d 5h51.328.50.822.03.81:26.20.43
Mauritius1.2663440103340.000.00.1227.20.00.826.43.01:33.40.97
Tanzania55.891509305211830.00.00.00.00.90.50.00.311.51:8.70.36
Equatorial Guinea1.358482125568321820.00.00.00.0354.9188.26.1160.63.81:26.30.45
Congo (Brazzaville)5.244354618995815892.16-3.611.4818.3432d 9h47d 3h67.636.21.130.33.61:27.40.45
Namibia2.45926522074155633.59-0.51.8237.1419d 16h38d 11h107.984.30.622.92.71:37.60.21
Liberia4.4751224441787050.580.160.790.77119d 5h87d 17h27.39.91.715.811.11:9.00.58
Benin11.73319362983816001.44-9.991.1110.8948d 13h62d 17h16.52.50.313.62.41:42.00.83
Sudan42.36111780482376361940.07-0.110.290.19stable237d 6h27.811.41.814.612.31:8.10.53
Zambia17.3817164117919957862.84-8.991.36.624d 17h53d 11h41.26.81.133.33.41:29.10.81
Mauritania4.077644499615752910.39-2.260.00.97176d 15h158.024.43.9129.83.01:33.70.82
Gabon2.173778721275156090.67-1.180.41.45103d 3h173d 15h358.497.92.3258.20.91:109.90.72
Somalia15.893322714069317280.09-1.970.02.09stable20.38.80.610.95.41:18.60.54
Togo7.5381012293226971.1-0.12.111.363d 3h33d 6h13.43.90.39.23.21:31.60.69
Central African Republic5.496462029205916410.03-0.010.00.06stable84.153.11.129.93.61:27.80.36
Niger22.3151153276910570.3-4.890.00.56232d 18h5.20.10.34.76.51:15.30.92
Guinea12.21876648584967570.962.181.290.5372d 18h54d 5h62.77.00.455.30.71:137.00.88
Chad15.69394228768380.13-7.730.00.54>1yr6.00.20.55.39.11:11.00.89
Djibouti1.07853302145950570.9566.820.340.2373d 3h201d 8h494.319.85.5468.91.21:85.50.95
Eswatini1.093296814375514761.870.354.342.7437d 11h16d 7h271.5131.45.0135.03.71:26.80.5
Gambia2.3489357831613614.1710.5713.9712.355d 5h5d 7h39.833.40.75.811.81:8.50.15
Madagascar25.68125262244134101482.13-5.493.513.8832d 20h20d 2h48.88.70.539.51.31:75.80.81
Zimbabwe15.16433929918412643.492.473.44.3320d 4h20d 17h28.619.70.68.36.71:15.00.29
Angola31.131483899645204.974.982.821.9514d 6h24d 21h4.82.90.21.712.31:8.10.35
Eritrea3.52825702250.221.1100.0322d 15h8.11.60.06.40.0na0.8
Mozambique30.0721201310157952.140.594.633.9232d 17h15d 7h7.14.40.02.61.91:52.90.38
Uganda40.31223116511020.79-3.225.01.0888d 10h14d 4h3.00.30.02.70.51:222.20.9
Libya6.75487941201076525.764.574.430.6712d 9h15d 23h72.361.01.69.716.41:6.10.13
Guinea-Bissau1.8620321061279440.51-1.560.03.51134d 23h109.257.01.550.82.91:35.00.46
Mali18.43255247412419540.13-0.080.00.13>1yr13.82.60.710.66.31:15.70.77
Botswana2.258047392630.00.00.00.035.732.80.12.83.21:31.50.08
Burundi11.474009513040.250.00.00.0274d 3h3.50.80.02.70.31:303.00.76
Comoros0.853964973400.52-3.270.00.61134d 16h46.65.80.840.02.11:48.50.86
Lesotho2.11742544231751.120.549.250.3562d 6h7d 20h35.225.81.18.313.11:7.60.24
Malawi18.144491221713721371.420.562.561.6749d 6h27d 9h24.812.20.811.86.41:15.60.48
Sao Tome and Principe0.287866157970.09-2.360.00.33stable439.033.07.5398.51.91:53.20.91
Africa1284.471005425295102220436882801.3-1.511.622.2653d 17h43d 5h78.323.01.753.63.21:31.20.68
South Sudan12.92245012284711750.010.010.00.084d 3h159d 18h19.09.50.49.10.01:2500.00.0
Sierra Leone7.0818773836714270.01-0.00.00.01118d 14h26.55.40.920.20.01:2129.90.01

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
Egypt100.15950064115749514889810.11:9.90.510.050.050.050.050.051.34Egypt
South Africa58.77553818414126496043873162.51:40.30.720.020.020.020.020.024.42South Africa
Algeria43.03362691151273232385.51:18.20.690.040.040.040.040.050.8Algeria
Morocco35.845296448642449205532.21:45.90.690.020.020.020.020.020.34Morocco
Tunisia11.72216423505112414.11:24.30.760.030.030.030.030.040.12Tunisia
Burkina Faso20.871158143549615.61:17.80.830.050.050.050.050.050.07Burkina Faso
Senegal16.20910715339122371013.11:31.80.660.020.020.020.020.020.37Senegal
Congo (Kinshasa)91.9319309104621580482.71:37.50.860.020.020.020.020.020.06Congo (Kinshasa)
Cameroon26.546177182007391153202.51:39.20.860.020.020.020.020.020.4Cameroon
Nigeria206.144524411884930324302.91:34.80.720.020.020.020.020.020.12Nigeria
Ghana30.281396423059199363840.61:181.80.920.010.010.010.010.010.18Ghana
Cote d'Ivoire23.74164473860103124840.81:120.50.760.010.010.010.010.010.12Cote d'Ivoire
Rwanda12.3742111848512580.41:250.00.60.00.00.00.00.00.01Rwanda
Ethiopia98.665209001150836590274.01:24.80.430.020.020.020.020.030.1Ethiopia
Kenya47.5642441113568399104443.81:26.20.430.020.020.020.020.020.23Kenya
Mauritius1.2663440103343.01:33.40.970.030.030.030.030.030.21Mauritius
Tanzania55.8915093052118311.51:8.70.360.040.040.040.040.040.01Tanzania
Equatorial Guinea1.358482125568321823.81:26.30.450.020.020.020.030.031.65Equatorial Guinea
Congo (Brazzaville)5.244354618995815893.61:27.40.450.020.020.020.020.020.3Congo (Brazzaville)
Namibia2.45926522074155632.71:37.60.210.010.010.010.010.010.16Namibia
Liberia4.47512244417870511.11:9.00.580.060.060.070.070.070.47Liberia
Benin11.73319362983816002.41:42.00.830.020.020.020.020.020.09Benin
Sudan42.361117804823763619412.31:8.10.530.060.070.070.070.070.49Sudan
Zambia17.3817164117919957863.41:29.10.810.030.030.030.040.050.31Zambia
Mauritania4.077644499615752913.01:33.70.820.020.020.020.030.031.04Mauritania
Gabon2.173778721275156090.91:109.90.720.010.010.010.010.010.63Gabon
Somalia15.893322714069317285.41:18.60.540.030.030.030.030.030.16Somalia
Togo7.5381012293226973.21:31.60.690.020.020.020.020.030.08Togo
Central African Republic5.496462029205916413.61:27.80.360.010.010.010.010.010.29Central African Republic
Niger22.3151153276910576.51:15.30.920.060.060.060.060.060.08Niger
Guinea12.21876648584967570.71:137.00.880.010.010.010.010.010.11Guinea
Chad15.69394228768389.11:11.00.890.080.080.080.080.080.13Chad
Djibouti1.07853302145950571.21:85.50.950.010.010.010.010.011.48Djibouti
Eswatini1.093296814375514763.71:26.80.50.020.020.020.020.031.36Eswatini
Gambia2.3489357831613611.81:8.50.150.020.030.030.050.070.18Gambia
Madagascar25.68125262244134101481.31:75.80.810.010.010.010.010.020.14Madagascar
Zimbabwe15.16433929918412646.71:15.00.290.020.020.020.030.040.15Zimbabwe
Angola31.1314838996452012.31:8.10.350.040.050.050.060.070.06Angola
Eritrea3.52825702250.0na0.80.00.00.00.00.00.0Eritrea
Mozambique30.0721201310157951.91:52.90.380.010.010.010.010.010.01Mozambique
Uganda40.31223116511020.51:222.20.90.00.00.00.00.00.0Uganda
Libya6.754879412010765216.41:6.10.130.020.030.030.040.040.43Libya
Guinea-Bissau1.8620321061279442.91:35.00.460.010.010.010.010.010.39Guinea-Bissau
Mali18.43255247412419546.31:15.70.770.050.050.050.050.050.18Mali
Botswana2.258047392633.21:31.50.080.00.00.00.00.00.02Botswana
Burundi11.474009513040.31:303.00.760.00.00.00.00.00.0Burundi
Comoros0.853964973402.11:48.50.860.020.020.020.020.020.22Comoros
Lesotho2.117425442317513.11:7.60.240.030.030.030.050.060.29Lesotho
Malawi18.144491221713721376.41:15.60.480.030.030.030.040.040.2Malawi
Sao Tome and Principe0.287866157971.91:53.20.910.020.020.020.020.022.03Sao Tome and Principe
Africa1284.471005425295102220436882803.21:31.20.680.020.020.020.030.030.46Africa
South Sudan12.92245012284711750.01:2500.00.00.00.020.020.020.020.1South Sudan
Sierra Leone7.0818773836714270.01:2129.90.010.00.040.040.040.040.26Sierra Leone

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