COVID-19 - Africa - 20-10-09

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

	absolute	cases per 100.000	abs. development 1 day	rel. development 1 day	rel. development 5 days/average
Total infections	1549485	120.6	8462	0.55%	0.54%
Active cases	225388	17.5	1743	0.78%	0.02%
Deaths	37557	2.9	234	0.63%	0.48%
Recovered	1286540	100.2	6485	0.51%	0.5%

Deaths per infected	2.42%
Recovered per infected	83.03%
Active per infected	14.55%
Deaths per recovered	2.92%
Projection: Total Case Percentage	0.79%

	Last days rate	Last average rate
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.
Time to double cases	126d 13h	129d 14h
Time to reach a million cases
Time to saturate the population	stable	stable

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:	189	Population	na
	Total cases	Cases per 100.000	Average grow rate (5 days)
Infected	na	115	98
Active	na	108	112
Deaths	na	101	70
Recovered	na	101	80
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:	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±
Country	Pop (mio)	Infected	Active	Deaths	Recovered	Infected	Active	Deaths	Recovered	Infected	Deaths	Infected	Active	Deaths	Recovered	Deaths per Recovered		Recovered per infected
		absolute values				Percentage growthrate 5d				Time to double		Cases per 100.000				% / ratio
Egypt	100.15	104262	641	6029	97592	0.11	12.31	0.12	0.03	>1yr	>1yr	104.1	0.6	6.0	97.4	6.2	1:16.2	0.94
South Africa	58.775	688352	50724	17547	620081	0.21	0.48	0.5	0.13	336d 0h	137d 17h	1171.2	86.3	29.9	1055.0	2.8	1:35.3	0.9
Algeria	43.0	52804	13948	1789	37067	0.25	0.17	0.26	0.21	272d 5h	266d 13h	122.8	32.4	4.2	86.2	4.8	1:20.7	0.7
Morocco	35.845	146398	20846	2530	123022	1.9	0.33	1.31	1.61	36d 21h	53d 9h	408.4	58.2	7.1	343.2	2.1	1:48.5	0.84
Tunisia	11.722	26899	21458	409	5032	4.0	5.1	5.15	0.0	17d 16h	13d 19h	229.5	183.1	3.5	42.9	8.1	1:12.3	0.19
Burkina Faso	20.87	2254	678	60	1516	0.79	-0.4	0.34	1.2	88d 0h	204d 19h	10.8	3.2	0.3	7.3	4.0	1:25.3	0.67
Senegal	16.209	15213	1764	313	13136	0.16	-1.76	0.06	0.41	>1yr	stable	93.9	10.9	1.9	81.0	2.4	1:42.0	0.86
Congo (Kinshasa)	91.931	10835	317	276	10242	0.14	4.27	0.15	0.01	>1yr	>1yr	11.8	0.3	0.3	11.1	2.7	1:37.2	0.95
Cameroon	26.546	21203	663	423	20117	0.27	-2.08	0.14	0.36	260d 6h	>1yr	79.9	2.5	1.6	75.8	2.1	1:47.6	0.95
Nigeria	206.14	59992	7265	1113	51614	0.22	-0.77	0.0	0.31	319d 14h		29.1	3.5	0.5	25.0	2.2	1:46.3	0.86
Ghana	30.281	46987	303	306	46378	0.07	-3.61	0.2	0.09	stable	350d 9h	155.2	1.0	1.0	153.2	0.7	1:151.5	0.99
Cote d'Ivoire	23.74	20036	220	120	19696	0.15	-5.15	0.0	0.18	>1yr		84.4	0.9	0.5	83.0	0.6	1:163.9	0.98
Rwanda	12.374	4890	1305	30	3555	0.1	-4.01	0.0	1.97	>1yr		39.5	10.5	0.2	28.7	0.8	1:119.0	0.73
Ethiopia	98.665	82662	44289	1271	37102	0.96	-0.2	0.65	1.97	72d 18h	107d 10h	83.8	44.9	1.3	37.6	3.4	1:29.2	0.45
Kenya	47.564	40620	7989	755	31876	0.6	-8.76	0.54	4.49	116d 3h	128d 5h	85.4	16.8	1.6	67.0	2.4	1:42.2	0.78
Mauritius	1.266	395	27	10	358	0.52	9.51	0.0	0.06	134d 7h		31.2	2.1	0.8	28.3	2.8	1:35.8	0.91
Tanzania	55.891	509	305	21	183	0.0	0.0	0.0	0.0			0.9	0.5	0.0	0.3	11.5	1:8.7	0.36
Equatorial Guinea	1.358	5063	86	83	4894	0.07	0.74	0.0	0.06	stable		372.7	6.3	6.1	360.3	1.7	1:58.8	0.97
Congo (Brazzaville)	5.244	5118	1141	90	3887	0.11	0.0	0.0	0.0	>1yr		97.6	21.8	1.7	74.1	2.3	1:43.1	0.76
Namibia	2.459	11829	1924	127	9778	0.35	-1.75	0.64	0.69	200d 3h	107d 23h	481.1	78.2	5.2	397.7	1.3	1:76.9	0.83
Liberia	4.475	1360	33	82	1245	0.18	2.85	0.0	0.15	>1yr		30.4	0.7	1.8	27.8	6.6	1:15.2	0.92
Benin	11.733	2411	397	41	1973	0.46	3.15	0.0	0.0	151d 14h		20.5	3.4	0.3	16.8	2.1	1:48.1	0.82
Sudan	42.361	13670	6070	836	6764	0.02	0.06	0.0	0.0	stable		32.3	14.3	2.0	16.0	12.4	1:8.1	0.49
Zambia	17.381	15339	564	336	14439	0.38	3.06	0.12	0.25	183d 10h	>1yr	88.3	3.2	1.9	83.1	2.3	1:42.9	0.94
Mauritania	4.077	7548	140	163	7245	0.07	-2.27	0.0	0.11	stable		185.1	3.4	4.0	177.7	2.2	1:44.4	0.96
Gabon	2.173	8835	592	54	8189	0.09	-2.4	0.0	0.24	stable		406.7	27.2	2.5	376.9	0.7	1:151.5	0.93
Somalia	15.893	3745	636	99	3010	0.0	0.0	0.0	0.0			23.6	4.0	0.6	18.9	3.3	1:30.4	0.8
Togo	7.538	1921	439	49	1433	0.71	0.86	0.42	0.48	97d 14h	166d 16h	25.5	5.8	0.7	19.0	3.4	1:29.2	0.75
Central African Republic	5.496	4853	2877	62	1914	0.03	0.06	0.0	0.0	stable		88.3	52.3	1.1	34.8	3.2	1:30.9	0.39
Niger	22.315	1201	9	69	1123	0.02	-6.53	0.0	0.13	stable		5.4	0.0	0.3	5.0	6.1	1:16.3	0.94
Guinea	12.218	10954	621	68	10265	0.37	0.45	0.6	0.26	187d 23h	115d 13h	89.7	5.1	0.6	84.0	0.7	1:151.5	0.94
Chad	15.693	1274	82	90	1102	0.92	6.25	0.69	0.43	75d 16h	100d 10h	8.1	0.5	0.6	7.0	8.2	1:12.2	0.86
Djibouti	1.078	5423	7	61	5355	0.01	-4.17	0.0	0.02	stable		502.9	0.6	5.7	496.6	1.1	1:87.7	0.99
Eswatini	1.093	5644	277	113	5254	0.27	-2.72	0.36	0.4	259d 1h	193d 13h	516.3	25.3	10.3	480.6	2.1	1:46.5	0.93
Gambia	2.348	3621	1015	117	2489	0.15	-3.01	0.35	1.89	>1yr	199d 15h	154.2	43.2	5.0	106.0	4.7	1:21.3	0.69
Madagascar	25.68	16676	464	237	15975	0.14	-9.41	0.26	0.54	>1yr	269d 12h	64.9	1.8	0.9	62.2	1.5	1:67.6	0.96
Zimbabwe	15.16	7994	1291	229	6474	0.27	-0.37	0.09	0.27	259d 11h	stable	52.7	8.5	1.5	42.7	3.5	1:28.2	0.81
Angola	31.13	6031	3134	212	2685	2.24	3.49	1.33	0.45	31d 7h	52d 9h	19.4	10.1	0.7	8.6	7.9	1:12.7	0.45
Eritrea	3.5	405	41	0	364	0.35	0.5	0	0.34	197d 9h		11.6	1.2	0.0	10.4	0.0	na	0.9
Mozambique	30.07	9742	2502	69	7171	1.16	-3.97	0.6	3.41	60d 1h	115d 13h	32.4	8.3	0.2	23.8	1.0	1:104.2	0.74
Uganda	40.3	9538	3595	86	5857	1.61	-2.12	0.97	4.11	43d 12h	71d 14h	23.7	8.9	0.2	14.5	1.5	1:68.0	0.61
Libya	6.75	41368	17294	621	23453	2.36	2.29	0.8	1.54	29d 16h	87d 2h	612.9	256.2	9.2	347.5	2.6	1:37.7	0.57
Guinea-Bissau	1.86	2385	617	40	1728	0.19	-4.06	0.51	2.31	356d 6h	135d 12h	128.2	33.2	2.2	92.9	2.3	1:43.3	0.72
Mali	18.43	3248	603	131	2514	0.4	0.83	0.0	0.22	174d 0h		17.6	3.3	0.7	13.6	5.2	1:19.2	0.77
Botswana	2.25	3219	2367	18	834	0.3	-0.63	2.5	3.49	234d 5h	28d 1h	143.1	105.2	0.8	37.1	2.2	1:46.3	0.26
Burundi	11.47	515	42	1	472	0.08	0.99	0.0	0.0	stable		4.5	0.4	0.0	4.1	0.2	1:476.2	0.92
Comoros	0.85	495	13	7	475	0.33	-0.89	0.0	0.38	212d 4h		58.2	1.5	0.8	55.9	1.5	1:68.0	0.96
Lesotho	2.11	1800	832	42	926	1.37	2.76	1.01	0.0	50d 22h	68d 18h	85.3	39.4	2.0	43.9	4.5	1:22.0	0.51
Malawi	18.14	5813	1002	180	4631	0.09	-1.2	0.11	0.37	stable	>1yr	32.0	5.5	1.0	25.5	3.9	1:25.7	0.8
Sao Tome and Principe	0.2	922	17	15	890	0.2	9.27	0.0	0.07	352d 13h		461.0	8.5	7.5	445.0	1.7	1:59.2	0.97
Africa	1284.47	1549485	225388	37557	1286540	0.54	0.02	0.48	0.5	129d 14h	145d 15h	120.6	17.5	2.9	100.2	2.9	1:34.2	0.83
South Sudan	12.92	2761	1417	54	1290	0.0	0.0	0.01	0.0	271d 10h	58d 2h	21.4	11.0	0.4	10.0	0.0	1:2388.9	0.0
Sierra Leone	7.08	2295	500	72	1723	0.0	0.0	0.0	0.0	304d 0h		32.4	7.1	1.0	24.3	0.0	1:2393.1	0.01

More Data by Country

Click top row to sort:	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±
Country	Pop (mio)	Infected	Active	Deaths	Recovered	Deaths per Recovered		Recovered per infected	Deaths per infected ... days ago					Possible Total %	Country
		absolute values				% / ratio		Recovered per infected	0d	5d	7d	10d	14d	Possible Total %
Egypt	100.15	104262	641	6029	97592	6.2	1:16.2	0.94	0.06	0.06	0.06	0.06	0.06	1.63	Egypt
South Africa	58.775	688352	50724	17547	620081	2.8	1:35.3	0.9	0.03	0.03	0.03	0.03	0.03	8.07	South Africa
Algeria	43.0	52804	13948	1789	37067	4.8	1:20.7	0.7	0.03	0.03	0.03	0.03	0.04	1.12	Algeria
Morocco	35.845	146398	20846	2530	123022	2.1	1:48.5	0.84	0.02	0.02	0.02	0.02	0.02	1.91	Morocco
Tunisia	11.722	26899	21458	409	5032	8.1	1:12.3	0.19	0.02	0.02	0.02	0.02	0.03	0.94	Tunisia
Burkina Faso	20.87	2254	678	60	1516	4.0	1:25.3	0.67	0.03	0.03	0.03	0.03	0.03	0.08	Burkina Faso
Senegal	16.209	15213	1764	313	13136	2.4	1:42.0	0.86	0.02	0.02	0.02	0.02	0.02	0.52	Senegal
Congo (Kinshasa)	91.931	10835	317	276	10242	2.7	1:37.2	0.95	0.03	0.03	0.03	0.03	0.03	0.08	Congo (Kinshasa)
Cameroon	26.546	21203	663	423	20117	2.1	1:47.6	0.95	0.02	0.02	0.02	0.02	0.02	0.43	Cameroon
Nigeria	206.14	59992	7265	1113	51614	2.2	1:46.3	0.86	0.02	0.02	0.02	0.02	0.02	0.15	Nigeria
Ghana	30.281	46987	303	306	46378	0.7	1:151.5	0.99	0.01	0.01	0.01	0.01	0.01	0.27	Ghana
Cote d'Ivoire	23.74	20036	220	120	19696	0.6	1:163.9	0.98	0.01	0.01	0.01	0.01	0.01	0.14	Cote d'Ivoire
Rwanda	12.374	4890	1305	30	3555	0.8	1:119.0	0.73	0.01	0.01	0.01	0.01	0.01	0.07	Rwanda
Ethiopia	98.665	82662	44289	1271	37102	3.4	1:29.2	0.45	0.02	0.02	0.02	0.02	0.02	0.35	Ethiopia
Kenya	47.564	40620	7989	755	31876	2.4	1:42.2	0.78	0.02	0.02	0.02	0.02	0.02	0.43	Kenya
Mauritius	1.266	395	27	10	358	2.8	1:35.8	0.91	0.03	0.03	0.03	0.03	0.03	0.21	Mauritius
Tanzania	55.891	509	305	21	183	11.5	1:8.7	0.36	0.04	0.04	0.04	0.04	0.04	0.01	Tanzania
Equatorial Guinea	1.358	5063	86	83	4894	1.7	1:58.8	0.97	0.02	0.02	0.02	0.02	0.02	1.65	Equatorial Guinea
Congo (Brazzaville)	5.244	5118	1141	90	3887	2.3	1:43.1	0.76	0.02	0.02	0.02	0.02	0.02	0.46	Congo (Brazzaville)
Namibia	2.459	11829	1924	127	9778	1.3	1:76.9	0.83	0.01	0.01	0.01	0.01	0.01	1.4	Namibia
Liberia	4.475	1360	33	82	1245	6.6	1:15.2	0.92	0.06	0.06	0.06	0.06	0.06	0.5	Liberia
Benin	11.733	2411	397	41	1973	2.1	1:48.1	0.82	0.02	0.02	0.02	0.02	0.02	0.09	Benin
Sudan	42.361	13670	6070	836	6764	12.4	1:8.1	0.49	0.06	0.06	0.06	0.06	0.06	0.53	Sudan
Zambia	17.381	15339	564	336	14439	2.3	1:42.9	0.94	0.02	0.02	0.02	0.02	0.02	0.52	Zambia
Mauritania	4.077	7548	140	163	7245	2.2	1:44.4	0.96	0.02	0.02	0.02	0.02	0.02	1.08	Mauritania
Gabon	2.173	8835	592	54	8189	0.7	1:151.5	0.93	0.01	0.01	0.01	0.01	0.01	0.67	Gabon
Somalia	15.893	3745	636	99	3010	3.3	1:30.4	0.8	0.03	0.03	0.03	0.03	0.03	0.17	Somalia
Togo	7.538	1921	439	49	1433	3.4	1:29.2	0.75	0.03	0.03	0.03	0.03	0.03	0.18	Togo
Central African Republic	5.496	4853	2877	62	1914	3.2	1:30.9	0.39	0.01	0.01	0.01	0.01	0.01	0.3	Central African Republic
Niger	22.315	1201	9	69	1123	6.1	1:16.3	0.94	0.06	0.06	0.06	0.06	0.06	0.08	Niger
Guinea	12.218	10954	621	68	10265	0.7	1:151.5	0.94	0.01	0.01	0.01	0.01	0.01	0.15	Guinea
Chad	15.693	1274	82	90	1102	8.2	1:12.2	0.86	0.07	0.07	0.07	0.07	0.08	0.16	Chad
Djibouti	1.078	5423	7	61	5355	1.1	1:87.7	0.99	0.01	0.01	0.01	0.01	0.01	1.53	Djibouti
Eswatini	1.093	5644	277	113	5254	2.1	1:46.5	0.93	0.02	0.02	0.02	0.02	0.02	2.79	Eswatini
Gambia	2.348	3621	1015	117	2489	4.7	1:21.3	0.69	0.03	0.03	0.03	0.03	0.03	1.35	Gambia
Madagascar	25.68	16676	464	237	15975	1.5	1:67.6	0.96	0.01	0.01	0.01	0.01	0.01	0.25	Madagascar
Zimbabwe	15.16	7994	1291	229	6474	3.5	1:28.2	0.81	0.03	0.03	0.03	0.03	0.03	0.41	Zimbabwe
Angola	31.13	6031	3134	212	2685	7.9	1:12.7	0.45	0.04	0.04	0.04	0.04	0.05	0.18	Angola
Eritrea	3.5	405	41	0	364	0.0	na	0.9	0.0	0.0	0.0	0.0	0.0	0.0	Eritrea
Mozambique	30.07	9742	2502	69	7171	1.0	1:104.2	0.74	0.01	0.01	0.01	0.01	0.01	0.06	Mozambique
Uganda	40.3	9538	3595	86	5857	1.5	1:68.0	0.61	0.01	0.01	0.01	0.01	0.01	0.06	Uganda
Libya	6.75	41368	17294	621	23453	2.6	1:37.7	0.57	0.01	0.02	0.02	0.02	0.02	2.49	Libya
Guinea-Bissau	1.86	2385	617	40	1728	2.3	1:43.3	0.72	0.02	0.02	0.02	0.02	0.02	0.58	Guinea-Bissau
Mali	18.43	3248	603	131	2514	5.2	1:19.2	0.77	0.04	0.04	0.04	0.04	0.04	0.19	Mali
Botswana	2.25	3219	2367	18	834	2.2	1:46.3	0.26	0.01	0.01	0.01	0.01	0.01	0.22	Botswana
Burundi	11.47	515	42	1	472	0.2	1:476.2	0.92	0.0	0.0	0.0	0.0	0.0	0.0	Burundi
Comoros	0.85	495	13	7	475	1.5	1:68.0	0.96	0.01	0.01	0.01	0.01	0.01	0.22	Comoros
Lesotho	2.11	1800	832	42	926	4.5	1:22.0	0.51	0.02	0.02	0.03	0.03	0.03	0.54	Lesotho
Malawi	18.14	5813	1002	180	4631	3.9	1:25.7	0.8	0.03	0.03	0.03	0.03	0.03	0.27	Malawi
Sao Tome and Principe	0.2	922	17	15	890	1.7	1:59.2	0.97	0.02	0.02	0.02	0.02	0.02	2.03	Sao Tome and Principe
Africa	1284.47	1549485	225388	37557	1286540	2.9	1:34.2	0.83	0.02	0.02	0.03	0.03	0.03	0.79	Africa
South Sudan	12.92	2761	1417	54	1290	0.0	1:2388.9	0.0	0.0	0.02	0.02	0.02	0.02	0.11	South Sudan
Sierra Leone	7.08	2295	500	72	1723	0.0	1:2393.1	0.01	0.0	0.03	0.03	0.03	0.03	0.27	Sierra Leone

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