COVID-19 - Africa - 20-06-03

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	162037	12.6	5128	3.27%	3.72%
Active cases	87232	6.8	1677	1.96%	2.73%
Deaths	4597	0.4	107	2.38%	2.77%
Recovered	70208	5.5	3344	5.0%	3.54%

Deaths per infected	2.84%
Recovered per infected	43.33%
Active per infected	53.83%
Deaths per recovered	6.55%
Projection: Total Case Percentage	0.1%

	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	21d 13h	18d 22h
Time to reach a million cases	56d 14h	49d 18h
Time to saturate the population	279d 4h	245d 12h

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	129	44
Active	na	107	56
Deaths	na	118	38
Recovered	na	123	34
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	28615	20177	1088	7350	5.33	4.64	3.68	4.41	13d 8h	19d 4h	28.6	20.1	1.1	7.3	14.8	1:6.8	0.26
South Africa	58.775	37525	17051	792	19682	5.12	4.39	4.35	3.97	13d 21h	16d 6h	63.8	29.0	1.3	33.5	4.0	1:24.9	0.52
Algeria	43.0	9733	2842	673	6218	1.28	-1.21	0.89	2.28	54d 13h	77d 20h	22.6	6.6	1.6	14.5	10.8	1:9.2	0.64
Morocco	35.845	7922	850	206	6866	0.53	-10.28	0.39	4.05	130d 4h	176d 10h	22.1	2.4	0.6	19.2	3.0	1:33.3	0.87
Tunisia	11.722	1087	73	49	965	0.3	-0.9	0.0	0.4	233d 12h		9.3	0.6	0.4	8.2	5.1	1:19.7	0.89
Burkina Faso	20.87	884	78	53	753	0.87	9.19	0.0	0.0	79d 22h		4.2	0.4	0.3	3.6	7.0	1:14.2	0.85
Senegal	16.209	3932	1824	45	2063	2.78	2.21	0.96	2.39	25d 7h	72d 5h	24.3	11.3	0.3	12.7	2.2	1:45.9	0.52
Congo (Kinshasa)	91.931	3495	2928	75	492	4.29	3.25	0.87	3.84	16d 11h	80d 1h	3.8	3.2	0.1	0.5	15.2	1:6.6	0.14
Cameroon	26.546	6585	2709	200	3676	3.98	7.24	2.52	2.06	17d 18h	27d 20h	24.8	10.2	0.8	13.8	5.4	1:18.4	0.56
Nigeria	206.14	11166	7522	315	3329	3.73	2.77	3.78	3.76	18d 22h	18d 15h	5.4	3.6	0.2	1.6	9.5	1:10.6	0.3
Ghana	30.281	8548	5378	38	3132	2.34	0.45	2.27	4.45	29d 21h	30d 20h	28.2	17.8	0.1	10.3	1.2	1:82.6	0.37
Cote d'Ivoire	23.74	3110	1545	35	1530	2.5	2.06	0.62	1.85	28d 2h	111d 5h	13.1	6.5	0.1	6.4	2.3	1:43.7	0.49
Rwanda	12.374	397	124	2	271	2.26	0.93	0	1.73	30d 22h		3.2	1.0	0.0	2.2	0.7	1:135.1	0.68
Ethiopia	98.665	1486	1223	17	246	8.96	7.66	12.65	3.27	8d 1h	5d 19h	1.5	1.2	0.0	0.2	6.9	1:14.5	0.17
Kenya	47.564	2216	1589	74	553	4.91	4.16	2.78	2.66	14d 10h	25d 6h	4.7	3.3	0.2	1.2	13.4	1:7.5	0.25
Mauritius	1.266	335	3	10	322	0.0	0.0	0.0	0.0			26.5	0.2	0.8	25.4	3.1	1:32.2	0.96
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	1306	1094	12	200	0.0	0.0	0.0	0.0			96.1	80.5	0.9	14.7	6.0	1:16.7	0.15
Congo (Brazzaville)	5.244	611	412	20	179	1.4	1.07	1.05	2.24	49d 19h	66d 4h	11.7	7.9	0.4	3.4	11.2	1:9.0	0.29
Liberia	4.475	316	119	28	169	2.97	3.05	0.74	2.75	23d 15h	93d 22h	7.1	2.7	0.6	3.8	16.6	1:6.0	0.53
Benin	11.733	244	93	3	148	1.74	1.86	0.0	1.72	40d 1h		2.1	0.8	0.0	1.3	2.0	1:49.3	0.61
Sudan	42.361	5499	3474	314	1711	4.0	-0.51	5.76	16.3	17d 15h	12d 8h	13.0	8.2	0.7	4.0	18.4	1:5.4	0.31
Zambia	17.381	1089	170	7	912	0.61	-7.45	0.0	3.41	114d 19h		6.3	1.0	0.0	5.2	0.8	1:129.9	0.84
Mauritania	4.077	745	654	34	57	12.0	8.91	9.96	26.46	6d 2h	7d 7h	18.3	16.0	0.8	1.4	59.6	1:1.7	0.08
Gabon	2.173	2902	2081	20	801	2.14	1.2	6.2	1.95	32d 16h	11d 12h	133.6	95.8	0.9	36.9	2.5	1:40.0	0.28
Somalia	15.893	2146	1661	79	406	3.26	2.68	1.9	3.13	21d 14h	36d 17h	13.5	10.5	0.5	2.6	19.5	1:5.1	0.19
Togo	7.538	452	203	13	236	1.1	-1.02	0.0	2.66	63d 9h		6.0	2.7	0.2	3.1	5.5	1:18.1	0.52
Central African Republic	5.496	1173	1146	4	23	6.13	4.23	40.0	0.0	11d 15h	2d 1h	21.3	20.9	0.1	0.4	17.4	1:5.8	0.02
Niger	22.315	961	39	65	857	0.13	-9.16	0.31	0.85	>1yr	222d 3h	4.3	0.2	0.3	3.8	7.6	1:13.2	0.89
Guinea	12.218	3933	1578	23	2332	1.48	-0.44	0.91	2.57	47d 5h	76d 14h	32.2	12.9	0.2	19.1	1.0	1:101.0	0.59
Chad	15.693	820	164	66	590	1.56	-6.67	0.31	4.87	44d 17h	225d 14h	5.2	1.0	0.4	3.8	11.2	1:8.9	0.72
Djibouti	1.078	3935	2273	26	1636	6.21	5.57	4.65	5.47	11d 12h	15d 5h	364.9	210.8	2.4	151.7	1.6	1:62.9	0.42
Eswatini	1.093	295	91	3	201	1.13	-2.83	10.0	3.44	61d 22h	7d 6h	27.0	8.3	0.3	18.4	1.5	1:67.1	0.68
Madagascar	25.68	908	707	6	195	5.44	4.42	4.0	2.46	13d 2h	17d 16h	3.5	2.8	0.0	0.8	3.1	1:32.5	0.21
Zimbabwe	15.16	222	189	4	29	8.47	8.47	0.0	0.71	8d 12h		1.5	1.2	0.0	0.2	13.8	1:7.3	0.13
Mozambique	30.07	316	205	2	109	6.43	7.69	0.0	3.18	11d 2h		1.1	0.7	0.0	0.4	1.8	1:54.6	0.34
Uganda	40.3	507	425	0	82	9.36	10.23	0	2.78	7d 18h		1.3	1.1	0.0	0.2	0.0	na	0.16
Libya	6.75	196	139	5	52	10.78	12.18	0.0	5.19	6d 18h		2.9	2.1	0.1	0.8	9.6	1:10.4	0.27
Guinea-Bissau	1.86	1339	1278	8	53	1.32	1.19	0.0	5.24	52d 18h		72.0	68.7	0.4	2.8	15.1	1:6.6	0.04
Mali	18.43	1386	519	79	788	2.49	0.84	1.34	2.84	28d 4h	51d 21h	7.5	2.8	0.4	4.3	10.0	1:10.0	0.57
Comoros	0.85	132	103	2	27	9.27	11.98	0.0	2.44	7d 19h		15.5	12.1	0.2	3.2	7.4	1:13.5	0.2
Malawi	18.14	369	314	4	51	6.38	6.84	0.0	0.0	11d 4h		2.0	1.7	0.0	0.3	7.8	1:12.8	0.14
Sao Tome and Principe	0.2	484	404	12	68	0.9	1.09	0.0	0.0	77d 9h		242.0	202.0	6.0	34.0	17.6	1:5.7	0.14
Africa	1284.47	162037	87232	4597	70208	3.72	2.73	2.77	3.54	18d 22h	25d 9h	12.6	6.8	0.4	5.5	6.5	1:15.3	0.43
South Sudan	12.92	994	978	10	6	0.0	0.0	0.0	0.0			7.7	7.6	0.1	0.0	1.7	1:60.0	0.0
Sierra Leone	7.08	909	371	47	491	0.02	-0.01	0.0	0.05	37d 11h	156d 7h	12.8	5.2	0.7	6.9	0.1	1:1044.7	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	28615	20177	1088	7350	14.8	1:6.8	0.26	0.04	0.05	0.05	0.06	0.07	0.29	Egypt
South Africa	58.775	37525	17051	792	19682	4.0	1:24.9	0.52	0.02	0.03	0.03	0.03	0.04	0.36	South Africa
Algeria	43.0	9733	2842	673	6218	10.8	1:9.2	0.64	0.07	0.07	0.07	0.08	0.09	0.42	Algeria
Morocco	35.845	7922	850	206	6866	3.0	1:33.3	0.87	0.03	0.03	0.03	0.03	0.03	0.16	Morocco
Tunisia	11.722	1087	73	49	965	5.1	1:19.7	0.89	0.05	0.05	0.05	0.05	0.05	0.11	Tunisia
Burkina Faso	20.87	884	78	53	753	7.0	1:14.2	0.85	0.06	0.06	0.06	0.06	0.07	0.07	Burkina Faso
Senegal	16.209	3932	1824	45	2063	2.2	1:45.9	0.52	0.01	0.01	0.01	0.01	0.02	0.08	Senegal
Congo (Kinshasa)	91.931	3495	2928	75	492	15.2	1:6.6	0.14	0.02	0.03	0.03	0.03	0.04	0.02	Congo (Kinshasa)
Cameroon	26.546	6585	2709	200	3676	5.4	1:18.4	0.56	0.03	0.03	0.04	0.04	0.05	0.2	Cameroon
Nigeria	206.14	11166	7522	315	3329	9.5	1:10.6	0.3	0.03	0.03	0.04	0.04	0.04	0.04	Nigeria
Ghana	30.281	8548	5378	38	3132	1.2	1:82.6	0.37	0.0	0.0	0.01	0.01	0.01	0.03	Ghana
Cote d'Ivoire	23.74	3110	1545	35	1530	2.3	1:43.7	0.49	0.01	0.01	0.01	0.01	0.02	0.04	Cote d'Ivoire
Rwanda	12.374	397	124	2	271	0.7	1:135.1	0.68	0.01	0.01	0.01	0.01	0.01	0.0	Rwanda
Ethiopia	98.665	1486	1223	17	246	6.9	1:14.5	0.17	0.01	0.02	0.02	0.03	0.04	0.0	Ethiopia
Kenya	47.564	2216	1589	74	553	13.4	1:7.5	0.25	0.03	0.04	0.05	0.06	0.07	0.04	Kenya
Mauritius	1.266	335	3	10	322	3.1	1:32.2	0.96	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	1306	1094	12	200	6.0	1:16.7	0.15	0.01	0.01	0.01	0.01	0.01	0.24	Equatorial Guinea
Congo (Brazzaville)	5.244	611	412	20	179	11.2	1:9.0	0.29	0.03	0.04	0.04	0.04	0.04	0.1	Congo (Brazzaville)
Liberia	4.475	316	119	28	169	16.6	1:6.0	0.53	0.09	0.1	0.1	0.11	0.12	0.17	Liberia
Benin	11.733	244	93	3	148	2.0	1:49.3	0.61	0.01	0.01	0.01	0.02	0.02	0.01	Benin
Sudan	42.361	5499	3474	314	1711	18.4	1:5.4	0.31	0.06	0.07	0.07	0.08	0.1	0.2	Sudan
Zambia	17.381	1089	170	7	912	0.8	1:129.9	0.84	0.01	0.01	0.01	0.01	0.01	0.01	Zambia
Mauritania	4.077	745	654	34	57	59.6	1:1.7	0.08	0.05	0.07	0.1	0.13	0.2	0.23	Mauritania
Gabon	2.173	2902	2081	20	801	2.5	1:40.0	0.28	0.01	0.01	0.01	0.01	0.01	0.25	Gabon
Somalia	15.893	2146	1661	79	406	19.5	1:5.1	0.19	0.04	0.04	0.04	0.05	0.05	0.13	Somalia
Togo	7.538	452	203	13	236	5.5	1:18.1	0.52	0.03	0.03	0.03	0.03	0.04	0.05	Togo
Central African Republic	5.496	1173	1146	4	23	17.4	1:5.8	0.02	0.0	0.0	0.01	0.01	0.01	0.02	Central African Republic
Niger	22.315	961	39	65	857	7.6	1:13.2	0.89	0.07	0.07	0.07	0.07	0.07	0.08	Niger
Guinea	12.218	3933	1578	23	2332	1.0	1:101.0	0.59	0.01	0.01	0.01	0.01	0.01	0.05	Guinea
Chad	15.693	820	164	66	590	11.2	1:8.9	0.72	0.08	0.09	0.09	0.1	0.11	0.11	Chad
Djibouti	1.078	3935	2273	26	1636	1.6	1:62.9	0.42	0.01	0.01	0.01	0.01	0.01	0.65	Djibouti
Eswatini	1.093	295	91	3	201	1.5	1:67.1	0.68	0.01	0.01	0.01	0.01	0.01	0.07	Eswatini
Madagascar	25.68	908	707	6	195	3.1	1:32.5	0.21	0.01	0.01	0.01	0.01	0.01	0.01	Madagascar
Zimbabwe	15.16	222	189	4	29	13.8	1:7.3	0.13	0.02	0.02	0.03	0.07	0.08	0.01	Zimbabwe
Mozambique	30.07	316	205	2	109	1.8	1:54.6	0.34	0.01	0.01	0.01	0.01	0.01	0.0	Mozambique
Uganda	40.3	507	425	0	82	0.0	na	0.16	0.0	0.0	0.0	0.0	0.0	0.0	Uganda
Libya	6.75	196	139	5	52	9.6	1:10.4	0.27	0.03	0.04	0.05	0.07	0.07	0.02	Libya
Guinea-Bissau	1.86	1339	1278	8	53	15.1	1:6.6	0.04	0.01	0.01	0.01	0.01	0.01	0.12	Guinea-Bissau
Mali	18.43	1386	519	79	788	10.0	1:10.0	0.57	0.06	0.06	0.07	0.07	0.08	0.12	Mali
Comoros	0.85	132	103	2	27	7.4	1:13.5	0.2	0.02	0.02	0.02	0.02	0.06	0.06	Comoros
Malawi	18.14	369	314	4	51	7.8	1:12.8	0.14	0.01	0.01	0.02	0.04	0.06	0.01	Malawi
Sao Tome and Principe	0.2	484	404	12	68	17.6	1:5.7	0.14	0.02	0.03	0.03	0.04	0.05	1.62	Sao Tome and Principe
Africa	1284.47	162037	87232	4597	70208	6.5	1:15.3	0.43	0.03	0.03	0.04	0.04	0.05	0.1	Africa
South Sudan	12.92	994	978	10	6	1.7	1:60.0	0.0	0.0	0.01	0.01	0.01	0.02	0.02	South Sudan
Sierra Leone	7.08	909	371	47	491	0.1	1:1044.7	0.01	0.0	0.06	0.06	0.06	0.08	0.18	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