COVID-19 - Middle Africa - 21-04-18

Data from JHU, ca. 9:00 CET

Middle Africa is a Group with the following members:
Angola - Cameroon - Central African Republic - Chad - Congo (Brazzaville) - Congo (Kinshasa) - Equatorial Guinea - Gabon - Sao Tome and Principe

Go to the data tables

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 170123 94.6 225 0.13% 0.52%
Active cases 13198 7.3 134 1.03% -1.73%
Deaths 2902 1.6 1 0.03% 0.19%
Recovered 15402385.7900.06%1.21%
Deaths per infected 1.71%
Recovered per infected90.54%
Deaths per recovered 1.88%

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: 194Population na
Incidence: naR7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 158 69
Active na 139 111
Deaths na 148 110
Recovered na 156 18
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!

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 over the last seven 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 weeks rate
Time to double active cases
Time to double total cases 133d 3h
Time to reach a million cases 340d 6h
Time to saturate the populationstable


Members of Group: Middle Africa

Angola - Cameroon - Central African Republic - Chad - Congo (Brazzaville) - Congo (Kinshasa) - Equatorial Guinea - Gabon - Sao Tome and Principe

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:±±±±±±±±±±±±±±±±±±
mioIndicesAbsolute valuesΔ 1dayGrowthrate 7d%Time to doubleCases per 100.000%
Congo (Kinshasa)91.9310.01.9128956631745622900.21-0.230.0336d 19h31.50.70.830.00.03Congo (Kinshasa)
Cameroon26.54612.00.76480974729390000.710.190.3197d 15h>1yr244.128.13.5212.50.21Cameroon
Equatorial Guinea1.3583.00.1972592511060000.08-2.560.0stable534.418.57.8508.10.51Equatorial Guinea
Congo (Brazzaville)5.2440.00.0100844031390000.00.00.21192.37.72.7182.00.18Congo (Brazzaville)
Gabon2.17356.01.582185819951330000.832.670.6783d 18h26d 7h1006.191.86.1908.10.91Gabon
Central African Republic5.4965.01.2578754275595900.765.80.1991d 14h12d 6h105.39.91.494.10.09Central African Republic
Chad15.6930.01.71470611116915910.21-2.490.17323d 17h30.
Angola31.133.01.13243891758561893700.563.120.21124d 12h22d 13h78.35.61.870.90.07Angola
Sao Tome and Principe0.24.00.35227535350000.06-6.30.0stable1137.517.517.51102.51.1Sao Tome and Principe
Middle Africa179.773.00.8517012313198290222513410.52-1.730.19133d 3h94.67.31.685.70.09Middle Africa