COVID-19 - WHO African Region - 20-06-05

Data from JHU, ca. 9:00 CET

WHO African Region 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 - Equatorial Guinea - Eritrea - Eswatini - Ethiopia - Gabon - Gambia - Ghana - Guinea - Guinea-Bissau - Kenya - Lesotho - Liberia - Madagascar - Malawi - Mali - Mauritius - Mayotte - Mozambique - Namibia - Niger - Nigeria - Reunion - Rwanda - Sao Tome and Principe - Senegal - Seychelles - Sierra Leone - South Africa - South Sudan - Tanzania - Togo - 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 122655 11.5 5333 4.55% 3.87%
Active cases 62081 5.8 1339 2.2% 2.75%
Deaths 2988 0.3 101 3.5% 2.19%
Recovered 575865.438937.25%3.26%
Deaths per infected 2.44%
Recovered per infected46.95%
Active per infected 50.61%
Deaths per recovered 5.19%
Projection:
Total Case Percentage
0.08%

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 15d 14h 18d 5h
Time to reach a million cases 47d 4h55d 5h
Time to saturate the population204d 1h 238d 18h

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 132 40
Active na 107 56
Deaths na 124 43
Recovered na 125 45
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: WHO African Region

Algeria - Angola - Benin - Botswana - Burkina Faso - Burundi - Cameroon - Central African Republic - Chad - Comoros - Congo (Brazzaville) - Congo (Kinshasa) - Cote d'Ivoire - Equatorial Guinea - Eritrea - Eswatini - Ethiopia - Gabon - Gambia - Ghana - Guinea - Guinea-Bissau - Kenya - Lesotho - Liberia - Madagascar - Malawi - Mali - Mauritius - Mayotte - Mozambique - Namibia - Niger - Nigeria - Reunion - Rwanda - Sao Tome and Principe - Senegal - Seychelles - Sierra Leone - South Africa - South Sudan - Tanzania - Togo - 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
South Africa58.7754343419438908230885.864.234.464.9112d 3h15d 21h73.933.11.539.33.91:25.40.53
Algeria43.09935279269064531.13-0.950.841.8561d 21h82d 10h23.16.51.615.010.71:9.40.65
Burkina Faso20.8788875537600.962.10.01.172d 10h4.30.40.33.67.01:14.30.86
Senegal16.209415518344522762.650.141.413.7426d 11h49d 15h25.611.30.314.02.01:50.50.55
Congo (Kinshasa)91.93137643171815124.163.811.632.0416d 23h42d 18h4.13.40.10.615.81:6.30.14
Cameroon26.5467392261220545754.656.311.240.7615d 5h56d 7h27.89.80.817.24.51:22.30.62
Nigeria206.1411844781533336963.112.212.413.3122d 14h29d 2h5.73.80.21.89.01:11.10.31
Ghana30.281916856694234572.592.171.111.6127d 1h62d 17h30.318.70.111.41.21:82.60.38
Cote d'Ivoire23.74343117913616043.913.81.212.018d 1h57d 12h14.57.50.26.82.21:44.60.47
Rwanda12.37442013622822.572.5920.01.8227d 7h3d 19h3.41.10.02.30.71:140.80.67
Ethiopia98.66518051524192629.037.6110.613.688d 0h6d 20h1.81.50.00.37.21:13.80.15
Kenya47.56424741752796434.753.314.074.4514d 22h17d 9h5.23.70.21.412.31:8.10.26
Mauritius1.2663373103240.120.00.00.0>1yr26.60.20.825.63.11:32.40.96
Tanzania55.891509305211830.00.00.00.00.90.50.00.311.51:8.70.36
Equatorial Guinea1.35813061094122000.00.00.00.096.180.50.914.76.01:16.70.15
Congo (Brazzaville)5.244635433201820.790.00.00.088d 13h12.18.30.43.511.01:9.10.29
Liberia4.475334128301763.022.590.742.2123d 7h93d 22h7.52.90.73.917.11:5.90.53
Benin11.73326110731512.424.640.01.128d 22h2.20.90.01.32.01:50.30.58
Zambia17.381108917079120.61-7.450.03.41114d 19h6.31.00.05.20.81:129.90.84
Gabon2.17331012247218333.172.024.532.5722d 4h15d 15h142.7103.41.038.32.51:39.70.27
Togo7.538485232132401.89-0.40.02.5537d 2h6.43.10.23.25.41:18.50.49
Central African Republic5.496145114184297.585.1420.00.09d 11h3d 19h26.425.80.10.513.81:7.30.02
Niger22.31596638658630.17-6.920.310.5>1yr222d 3h4.30.20.33.97.51:13.30.89
Guinea12.218406013702326671.85-2.440.04.3937d 21h33.211.20.221.80.91:116.30.66
Chad15.693836111686571.45-9.940.315.2648d 4h225d 14h5.30.70.44.210.31:9.70.79
Eswatini1.0933058132211.370.4710.01.2450d 22h7d 6h27.97.40.320.21.41:73.50.72
Madagascar25.6897576772014.834.733.333.5714d 16h21d 3h3.83.00.00.83.51:28.70.21
Zimbabwe15.162652284338.377.030.01.388d 14h1.71.50.00.212.11:8.30.12
Mozambique30.0735423321197.158.80.04.6910d 0h1.20.80.00.41.71:59.50.34
Uganda40.35574750825.995.0502.7811d 22h1.41.20.00.20.0na0.15
Guinea-Bissau1.8613681203121531.751.190.05.2439d 20h73.564.70.68.27.81:12.80.11
Mali18.431485582878163.273.92.042.4121d 13h34d 9h8.13.20.54.410.71:9.40.55
Comoros0.85132752554.910.970.021.5114d 11h15.58.80.26.53.61:27.50.42
Malawi18.144093504557.77.540.04.299d 8h2.31.90.00.37.31:13.80.13
Sao Tome and Principe0.249941912680.660.10.00.0105d 8h249.5209.56.034.017.61:5.70.14
South Sudan12.929949781060.00.00.00.07.77.60.10.0166.71.7:10.01
Sierra Leone7.08929302475801.540.890.431.5945d 9h159d 18h13.14.30.78.28.11:12.30.62
WHO African Region1066.59122655620812988575863.872.752.193.2618d 5h31d 22h11.55.80.35.45.21:19.30.47

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
South Africa58.7754343419438908230883.91:25.40.530.020.030.030.040.040.42South Africa
Algeria43.099352792690645310.71:9.40.650.070.070.070.080.090.43Algeria
Burkina Faso20.8788875537607.01:14.30.860.060.060.060.060.070.07Burkina Faso
Senegal16.209415518344522762.01:50.50.550.010.010.010.010.020.08Senegal
Congo (Kinshasa)91.931376431718151215.81:6.30.140.020.030.030.030.040.02Congo (Kinshasa)
Cameroon26.5467392261220545754.51:22.30.620.030.030.030.040.050.21Cameroon
Nigeria206.1411844781533336969.01:11.10.310.030.030.030.040.040.04Nigeria
Ghana30.281916856694234571.21:82.60.380.00.010.010.010.010.04Ghana
Cote d'Ivoire23.74343117913616042.21:44.60.470.010.010.010.010.020.04Cote d'Ivoire
Rwanda12.37442013622820.71:140.80.670.00.010.010.010.010.0Rwanda
Ethiopia98.66518051524192627.21:13.80.150.010.020.020.030.040.01Ethiopia
Kenya47.564247417527964312.31:8.10.260.030.040.040.050.070.04Kenya
Mauritius1.2663373103243.11:32.40.960.030.030.030.030.030.21Mauritius
Tanzania55.8915093052118311.51:8.70.360.040.040.040.040.040.01Tanzania
Equatorial Guinea1.35813061094122006.01:16.70.150.010.010.010.010.010.24Equatorial Guinea
Congo (Brazzaville)5.2446354332018211.01:9.10.290.030.030.040.040.040.1Congo (Brazzaville)
Liberia4.4753341283017617.11:5.90.530.090.10.110.110.120.18Liberia
Benin11.73326110731512.01:50.30.580.010.010.010.010.020.01Benin
Zambia17.381108917079120.81:129.90.840.010.010.010.010.010.01Zambia
Gabon2.17331012247218332.51:39.70.270.010.010.010.010.010.26Gabon
Togo7.538485232132405.41:18.50.490.030.030.030.030.030.05Togo
Central African Republic5.4961451141842913.81:7.30.020.00.00.00.010.010.02Central African Republic
Niger22.31596638658637.51:13.30.890.070.070.070.070.070.08Niger
Guinea12.218406013702326670.91:116.30.660.010.010.010.010.010.05Guinea
Chad15.6938361116865710.31:9.70.790.080.090.090.10.10.12Chad
Eswatini1.0933058132211.41:73.50.720.010.010.010.010.010.07Eswatini
Madagascar25.6897576772013.51:28.70.210.010.010.010.010.010.01Madagascar
Zimbabwe15.1626522843312.11:8.30.120.020.020.020.030.070.01Zimbabwe
Mozambique30.0735423321191.71:59.50.340.010.010.010.010.010.0Mozambique
Uganda40.35574750820.0na0.150.00.00.00.00.00.0Uganda
Guinea-Bissau1.8613681203121537.81:12.80.110.010.010.010.010.010.17Guinea-Bissau
Mali18.4314855828781610.71:9.40.550.060.070.070.080.090.13Mali
Comoros0.85132752553.61:27.50.420.020.020.020.020.030.06Comoros
Malawi18.144093504557.31:13.80.130.010.010.010.040.050.01Malawi
Sao Tome and Principe0.2499419126817.61:5.70.140.020.020.030.030.051.62Sao Tome and Principe
South Sudan12.92994978106166.71.7:10.010.010.010.010.010.020.02South Sudan
Sierra Leone7.08929302475808.11:12.30.620.050.050.060.060.080.18Sierra Leone
WHO African Region1066.59122655620812988575865.21:19.30.470.020.030.030.030.040.08WHO African Region

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