COVID-19 - Northern Africa - 20-06-05

Data from JHU, ca. 9:00 CET

Northern Africa is a Group with the following members:
Algeria - Egypt - Libya - Mauritania - Morocco - Sudan - Tunisia - Western Sahara

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 57204 23.4 1800 3.25% 3.15%
Active cases 29796 12.2 998 3.47% 1.23%
Deaths 2509 1.0 67 2.74% 2.3%
Recovered 2489910.27353.04%4.18%
Deaths per infected 4.39%
Recovered per infected43.53%
Active per infected 52.09%
Deaths per recovered 10.08%
Projection:
Total Case Percentage
0.28%

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 21d 16h 22d 8h
Time to reach a million cases 89d 11h92d 4h
Time to saturate the population261d 11h 269d 10h

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 108 43
Active na 77 75
Deaths na 79 41
Recovered na 107 27
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: Northern Africa

Algeria - Egypt - Libya - Mauritania - Morocco - Sudan - Tunisia - Western Sahara

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
Egypt100.153111521791116681584.493.053.285.1715d 18h21d 11h31.121.81.28.114.31:7.00.26
Algeria43.09935279269064531.13-0.950.841.8561d 21h82d 10h23.16.51.615.010.71:9.40.65
Morocco35.845807159520872680.67-21.680.295.73104d 3h237d 22h22.51.70.620.32.91:35.00.9
Tunisia11.722108769499690.190.330.420.17>1yr166d 16h9.30.60.48.35.11:19.80.89
Sudan42.3615865359434719243.141.413.115.1422d 10h22d 15h13.88.50.84.518.01:5.50.33
Mauritania4.077883771436910.797.3211.8324.286d 18h6d 4h21.718.91.11.762.31:1.60.08
Libya6.752391825528.949.060.00.08d 2h3.52.70.10.89.61:10.40.22
Northern Africa244.4857204297962509248993.151.232.34.1822d 8h30d 10h23.412.21.010.210.11:9.90.44

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
Egypt100.1531115217911166815814.31:7.00.260.040.040.050.060.070.31Egypt
Algeria43.099352792690645310.71:9.40.650.070.070.070.080.090.43Algeria
Morocco35.845807159520872682.91:35.00.90.030.030.030.030.030.16Morocco
Tunisia11.722108769499695.11:19.80.890.050.050.050.050.050.11Tunisia
Sudan42.36158653594347192418.01:5.50.330.060.070.070.080.10.22Sudan
Mauritania4.077883771436962.31:1.60.080.050.070.090.150.190.29Mauritania
Libya6.752391825529.61:10.40.220.020.030.040.050.070.02Libya
Northern Africa244.48572042979625092489910.11:9.90.440.040.050.050.060.070.28Northern Africa

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