COVID-19 - Middle Africa - 21-10-25

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
7 days/average
Total infections 306888 170.7 847 0.28% 0.24%
Active cases 12376 6.9 -43 -0.35% -2.69%
Deaths 5364 3.0 20 0.37% 0.31%
Recovered 289148160.88700.3%0.4%
1st Vaccinations 58378603.2%
Incidence 2.8
R7-Value 0.7
D7-Incidence 0.6
Deaths per infected 1.75%
Recovered per infected 94.22%
Deaths per recovered 1.86%
1st Vaccinations in Pop3.2%

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.
Ranking within 197 evaluated states:
Population na Incidence: 138
D7 Incidence:133 R7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 168 62
Active na 139 131
Deaths na 166 50
Recovered na 169 42
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 289d 23h
Time to reach a million cases >1yr
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 1dayΔ 7dayGrowthrate 7d%Cases per 100.000%
Congo (Kinshasa)91.9310.11.260.0206109121-94000.03-4.630. (Kinshasa)
Equatorial Guinea1.35810.70.621.53801630-129020.16-2.290.18969.328.012.0929.30.9317.63Equatorial Guinea
Congo (Brazzaville)5.24417.30.83.4203524946046010180.85.951.09321.738.84.7278.10.285.53Congo (Brazzaville)
Central African Republic5.4960.70.520.011710000000.054.860.0209.62.11.8205.60.215.67Central African Republic
Sao Tome and Principe0.210.00.420.068560-1000.08-9.750.01848.534.028.01786.51.7937.92Sao Tome and Principe
Middle Africa179.772.80.70.6123765364847-43201130.24-2.690.31170.76.93.0160.80.163.25Middle Africa