COVID-19 - Africa - 20-11-27

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	2126350	165.5	15647	0.74%	0.64%
Active cases	279000	21.7	315	0.11%	0.21%
Deaths	51160	4.0	320	0.63%	0.49%
Recovered	1796190	139.8	15012	0.84%	0.53%

Deaths per infected	2.41%
Recovered per infected	84.47%
Active per infected	13.12%
Deaths per recovered	2.85%
Projection: Total Case Percentage	1.08%

	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	93d 20h	109d 3h
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:	192	Population	na
	Total cases	Cases per 100.000	Average grow rate (5 days)
Infected	na	114	96
Active	na	113	107
Deaths	na	106	74
Recovered	na	107	75
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	114832	5834	6608	102390	0.32	4.08	0.15	0.08	218d 17h	>1yr	114.7	5.8	6.6	102.2	6.5	1:15.5	0.89
South Africa	58.775	781941	37687	21378	722876	0.37	2.35	0.37	0.18	188d 6h	189d 7h	1330.4	64.1	36.4	1229.9	3.0	1:33.8	0.92
Algeria	43.0	80168	25850	2372	51946	1.38	1.33	0.7	1.02	50d 14h	100d 1h	186.4	60.1	5.5	120.8	4.6	1:21.9	0.65
Morocco	35.845	345276	45551	5689	294036	1.22	-1.63	1.12	1.39	57d 1h	62d 10h	963.2	127.1	15.9	820.3	1.9	1:51.8	0.85
Tunisia	11.722	93770	22200	3106	68464	1.12	-1.42	1.47	1.62	62d 11h	47d 12h	799.9	189.4	26.5	584.1	4.5	1:22.0	0.73
Burkina Faso	20.87	2816	169	68	2579	0.59	1.07	0.0	0.28	118d 11h		13.5	0.8	0.3	12.4	2.6	1:37.9	0.92
Senegal	16.209	15981	80	332	15569	0.12	3.3	0.06	0.09	>1yr	stable	98.6	0.5	2.0	96.1	2.1	1:46.9	0.97
Congo (Kinshasa)	91.931	12470	642	333	11495	0.47	3.14	0.36	0.34	147d 3h	190d 9h	13.6	0.7	0.4	12.5	2.9	1:34.5	0.92
Cameroon	26.546	24117	1503	437	22177	0.5	9.64	0.09	0.0	139d 21h	stable	90.9	5.7	1.6	83.5	2.0	1:50.8	0.92
Nigeria	206.14	67220	3363	1171	62686	0.25	0.53	0.03	0.16	276d 13h	stable	32.6	1.6	0.6	30.4	1.9	1:53.5	0.93
Ghana	30.281	51225	775	323	50127	0.14	-7.26	0.0	0.29	>1yr		169.2	2.6	1.1	165.5	0.6	1:156.2	0.98
Cote d'Ivoire	23.74	21232	228	131	20873	0.09	0.82	0.0	0.05	stable		89.4	1.0	0.6	87.9	0.6	1:158.7	0.98
Rwanda	12.374	5872	428	47	5397	0.72	0.49	0.0	0.69	96d 11h		47.5	3.5	0.4	43.6	0.9	1:114.9	0.92
Ethiopia	98.665	108438	39246	1686	67506	0.5	0.28	0.3	0.4	139d 21h	229d 20h	109.9	39.8	1.7	68.4	2.5	1:40.0	0.62
Kenya	47.564	81656	26090	1441	54125	1.08	0.54	0.67	0.77	64d 5h	103d 8h	171.7	54.9	3.0	113.8	2.7	1:37.6	0.66
Mauritius	1.266	501	48	10	443	0.28	-1.14	0.0	0.32	245d 23h		39.6	3.8	0.8	35.0	2.3	1:44.2	0.88
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	5146	56	85	5005	0.06	-2.74	0.0	0.12	stable		378.9	4.1	6.3	368.5	1.7	1:58.8	0.97
Congo (Brazzaville)	5.244	5774	692	94	4988	0.5	-13.33	0.0	5.67	137d 19h		110.1	13.2	1.8	95.1	1.9	1:53.2	0.86
Namibia	2.459	14207	670	149	13388	0.49	6.1	0.28	0.2	142d 2h	251d 14h	577.8	27.2	6.1	544.5	1.1	1:90.1	0.94
Liberia	4.475	1595	169	83	1343	0.56	4.14	0.24	0.14	123d 10h	284d 12h	35.6	3.8	1.9	30.0	6.2	1:16.2	0.84
Benin	11.733	2974	352	43	2579	0.4	3.95	0.0	0.0	174d 14h		25.3	3.0	0.4	22.0	1.7	1:59.9	0.87
Sudan	42.361	16864	5685	1215	9964	1.0	2.14	0.3	0.46	69d 22h	231d 22h	39.8	13.4	2.9	23.5	12.2	1:8.2	0.59
Zambia	17.381	17569	367	357	16845	0.17	2.7	0.0	0.09	>1yr		101.1	2.1	2.1	96.9	2.1	1:47.2	0.96
Mauritania	4.077	8424	587	172	7665	0.72	4.88	0.24	0.16	96d 17h	293d 4h	206.6	14.4	4.2	188.0	2.2	1:44.6	0.91
Gabon	2.173	9191	95	59	9037	0.13	0.47	0.0	0.09	>1yr		423.0	4.4	2.7	416.0	0.7	1:153.8	0.98
Somalia	15.893	4451	921	113	3417	0.03	0.02	0.0	0.03	stable		28.0	5.8	0.7	21.5	3.3	1:30.2	0.77
Togo	7.538	2926	461	64	2401	0.58	-1.39	0.0	0.85	120d 10h		38.8	6.1	0.8	31.9	2.7	1:37.5	0.82
Central African Republic	5.496	4913	2926	63	1924	0.01	0.01	0.0	0.0	stable		89.4	53.2	1.1	35.0	3.3	1:30.6	0.39
Niger	22.315	1472	210	70	1192	1.48	7.78	0.0	0.27	47d 6h		6.6	0.9	0.3	5.3	5.9	1:17.0	0.81
Guinea	12.218	13039	981	76	11982	0.33	0.83	0.27	0.14	210d 6h	260d 6h	106.7	8.0	0.6	98.1	0.6	1:158.7	0.92
Chad	15.693	1663	63	101	1499	0.25	-1.63	0.0	0.37	272d 14h		10.6	0.4	0.6	9.6	6.7	1:14.8	0.9
Djibouti	1.078	5676	39	61	5576	0.03	-4.62	0.0	0.08	stable		526.3	3.6	5.7	517.1	1.1	1:91.7	0.98
Eswatini	1.093	6362	283	120	5959	0.46	3.13	0.0	0.24	152d 8h		582.0	25.9	11.0	545.1	2.0	1:49.8	0.94
Gambia	2.348	3731	18	123	3590	0.03	-3.97	0.0	0.03	stable		158.9	0.8	5.2	152.9	3.4	1:29.2	0.96
Madagascar	25.68	17341	433	251	16657	0.0	0.0	0.0	0.0			67.5	1.7	1.0	64.9	1.5	1:66.2	0.96
Zimbabwe	15.16	9714	969	275	8470	1.05	6.34	0.45	0.35	66d 9h	155d 14h	64.1	6.4	1.8	55.9	3.2	1:30.8	0.87
Angola	31.13	15008	6969	342	7697	0.7	0.45	0.24	0.73	99d 5h	293d 9h	48.2	22.4	1.1	24.7	4.4	1:22.5	0.51
Eritrea	3.5	566	89	0	477	0.54	2.74	0	0.17	128d 12h		16.2	2.5	0.0	13.6	0.0	na	0.84
Mozambique	30.07	15506	1747	128	13631	0.62	0.68	0.64	0.56	112d 18h	108d 20h	51.6	5.8	0.4	45.3	0.9	1:106.4	0.88
Uganda	40.3	19588	10551	197	8840	1.74	1.89	2.14	0.53	40d 2h	32d 18h	48.6	26.2	0.5	21.9	2.2	1:44.8	0.45
Libya	6.75	81273	27821	1153	52299	0.87	-0.1	0.92	1.07	79d 21h	75d 14h	1204.0	412.2	17.1	774.8	2.2	1:45.5	0.64
Guinea-Bissau	1.86	2422	70	43	2309	0.01	-4.78	0.0	0.2	stable		130.2	3.8	2.3	124.1	1.9	1:53.8	0.95
Mali	18.43	4567	1327	149	3091	1.43	3.38	0.41	0.34	48d 22h	168d 15h	24.8	7.2	0.8	16.8	4.8	1:20.7	0.68
Botswana	2.25	10258	2510	31	7717	1.36	2.14	0.0	1.15	51d 5h		455.9	111.6	1.4	343.0	0.4	1:250.0	0.75
Burundi	11.47	681	105	1	575	0.57	3.34	0.0	0.0	122d 6h		5.9	0.9	0.0	5.0	0.2	1:588.2	0.84
Comoros	0.85	610	18	7	585	0.47	1.85	0.0	0.45	148d 11h		71.8	2.1	0.8	68.8	1.2	1:83.3	0.96
Lesotho	2.11	2109	787	44	1278	0.22	0.55	0.0	0.03	315d 8h		100.0	37.3	2.1	60.6	3.4	1:29.1	0.61
Malawi	18.14	6024	386	185	5453	0.07	0.42	0.0	0.03	stable		33.2	2.1	1.0	30.1	3.4	1:29.5	0.91
Sao Tome and Principe	0.2	985	40	17	928	0.12	0.53	0.0	0.11	>1yr		492.5	20.0	8.5	464.0	1.8	1:54.6	0.94
Africa	1284.47	2126350	279000	51160	1796190	0.64	0.21	0.49	0.53	109d 3h	142d 0h	165.5	21.7	4.0	139.8	2.9	1:35.1	0.84
South Sudan	12.92	3104	89	61	2954	0.0	-0.17	0.0	0.26	186d 16h	208d 6h	24.0	0.7	0.5	22.9	0.0	1:4842.6	0.01
Sierra Leone	7.08	2410	503	74	1833	0.0	0.0	0.0	0.0	stable		34.0	7.1	1.0	25.9	0.0	1:2477.0	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	114832	5834	6608	102390	6.5	1:15.5	0.89	0.06	0.06	0.06	0.06	0.06	1.78	Egypt
South Africa	58.775	781941	37687	21378	722876	3.0	1:33.8	0.92	0.03	0.03	0.03	0.03	0.03	9.83	South Africa
Algeria	43.0	80168	25850	2372	51946	4.6	1:21.9	0.65	0.03	0.03	0.03	0.03	0.04	1.49	Algeria
Morocco	35.845	345276	45551	5689	294036	1.9	1:51.8	0.85	0.02	0.02	0.02	0.02	0.02	4.29	Morocco
Tunisia	11.722	93770	22200	3106	68464	4.5	1:22.0	0.73	0.03	0.03	0.04	0.04	0.04	7.16	Tunisia
Burkina Faso	20.87	2816	169	68	2579	2.6	1:37.9	0.92	0.02	0.02	0.03	0.03	0.03	0.09	Burkina Faso
Senegal	16.209	15981	80	332	15569	2.1	1:46.9	0.97	0.02	0.02	0.02	0.02	0.02	0.55	Senegal
Congo (Kinshasa)	91.931	12470	642	333	11495	2.9	1:34.5	0.92	0.03	0.03	0.03	0.03	0.03	0.1	Congo (Kinshasa)
Cameroon	26.546	24117	1503	437	22177	2.0	1:50.8	0.92	0.02	0.02	0.02	0.02	0.02	0.44	Cameroon
Nigeria	206.14	67220	3363	1171	62686	1.9	1:53.5	0.93	0.02	0.02	0.02	0.02	0.02	0.15	Nigeria
Ghana	30.281	51225	775	323	50127	0.6	1:156.2	0.98	0.01	0.01	0.01	0.01	0.01	0.29	Ghana
Cote d'Ivoire	23.74	21232	228	131	20873	0.6	1:158.7	0.98	0.01	0.01	0.01	0.01	0.01	0.15	Cote d'Ivoire
Rwanda	12.374	5872	428	47	5397	0.9	1:114.9	0.92	0.01	0.01	0.01	0.01	0.01	0.1	Rwanda
Ethiopia	98.665	108438	39246	1686	67506	2.5	1:40.0	0.62	0.02	0.02	0.02	0.02	0.02	0.46	Ethiopia
Kenya	47.564	81656	26090	1441	54125	2.7	1:37.6	0.66	0.02	0.02	0.02	0.02	0.02	0.82	Kenya
Mauritius	1.266	501	48	10	443	2.3	1:44.2	0.88	0.02	0.02	0.02	0.02	0.02	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	5146	56	85	5005	1.7	1:58.8	0.97	0.02	0.02	0.02	0.02	0.02	1.69	Equatorial Guinea
Congo (Brazzaville)	5.244	5774	692	94	4988	1.9	1:53.2	0.86	0.02	0.02	0.02	0.02	0.02	0.48	Congo (Brazzaville)
Namibia	2.459	14207	670	149	13388	1.1	1:90.1	0.94	0.01	0.01	0.01	0.01	0.01	1.64	Namibia
Liberia	4.475	1595	169	83	1343	6.2	1:16.2	0.84	0.05	0.05	0.05	0.05	0.06	0.5	Liberia
Benin	11.733	2974	352	43	2579	1.7	1:59.9	0.87	0.01	0.01	0.01	0.01	0.02	0.1	Benin
Sudan	42.361	16864	5685	1215	9964	12.2	1:8.2	0.59	0.07	0.08	0.08	0.08	0.08	0.78	Sudan
Zambia	17.381	17569	367	357	16845	2.1	1:47.2	0.96	0.02	0.02	0.02	0.02	0.02	0.56	Zambia
Mauritania	4.077	8424	587	172	7665	2.2	1:44.6	0.91	0.02	0.02	0.02	0.02	0.02	1.14	Mauritania
Gabon	2.173	9191	95	59	9037	0.7	1:153.8	0.98	0.01	0.01	0.01	0.01	0.01	0.73	Gabon
Somalia	15.893	4451	921	113	3417	3.3	1:30.2	0.77	0.03	0.03	0.03	0.03	0.03	0.19	Somalia
Togo	7.538	2926	461	64	2401	2.7	1:37.5	0.82	0.02	0.02	0.02	0.02	0.02	0.23	Togo
Central African Republic	5.496	4913	2926	63	1924	3.3	1:30.6	0.39	0.01	0.01	0.01	0.01	0.01	0.31	Central African Republic
Niger	22.315	1472	210	70	1192	5.9	1:17.0	0.81	0.05	0.05	0.05	0.05	0.05	0.08	Niger
Guinea	12.218	13039	981	76	11982	0.6	1:158.7	0.92	0.01	0.01	0.01	0.01	0.01	0.17	Guinea
Chad	15.693	1663	63	101	1499	6.7	1:14.8	0.9	0.06	0.06	0.06	0.06	0.06	0.17	Chad
Djibouti	1.078	5676	39	61	5576	1.1	1:91.7	0.98	0.01	0.01	0.01	0.01	0.01	1.53	Djibouti
Eswatini	1.093	6362	283	120	5959	2.0	1:49.8	0.94	0.02	0.02	0.02	0.02	0.02	2.97	Eswatini
Gambia	2.348	3731	18	123	3590	3.4	1:29.2	0.96	0.03	0.03	0.03	0.03	0.03	1.42	Gambia
Madagascar	25.68	17341	433	251	16657	1.5	1:66.2	0.96	0.01	0.01	0.01	0.01	0.01	0.26	Madagascar
Zimbabwe	15.16	9714	969	275	8470	3.2	1:30.8	0.87	0.03	0.03	0.03	0.03	0.03	0.49	Zimbabwe
Angola	31.13	15008	6969	342	7697	4.4	1:22.5	0.51	0.02	0.02	0.02	0.02	0.03	0.3	Angola
Eritrea	3.5	566	89	0	477	0.0	na	0.84	0.0	0.0	0.0	0.0	0.0	0.0	Eritrea
Mozambique	30.07	15506	1747	128	13631	0.9	1:106.4	0.88	0.01	0.01	0.01	0.01	0.01	0.12	Mozambique
Uganda	40.3	19588	10551	197	8840	2.2	1:44.8	0.45	0.01	0.01	0.01	0.01	0.01	0.13	Uganda
Libya	6.75	81273	27821	1153	52299	2.2	1:45.5	0.64	0.01	0.01	0.02	0.02	0.02	4.62	Libya
Guinea-Bissau	1.86	2422	70	43	2309	1.9	1:53.8	0.95	0.02	0.02	0.02	0.02	0.02	0.62	Guinea-Bissau
Mali	18.43	4567	1327	149	3091	4.8	1:20.7	0.68	0.03	0.03	0.04	0.04	0.04	0.22	Mali
Botswana	2.25	10258	2510	31	7717	0.4	1:250.0	0.75	0.0	0.0	0.0	0.0	0.0	0.37	Botswana
Burundi	11.47	681	105	1	575	0.2	1:588.2	0.84	0.0	0.0	0.0	0.0	0.0	0.0	Burundi
Comoros	0.85	610	18	7	585	1.2	1:83.3	0.96	0.01	0.01	0.01	0.01	0.01	0.22	Comoros
Lesotho	2.11	2109	787	44	1278	3.4	1:29.1	0.61	0.02	0.02	0.02	0.02	0.02	0.56	Lesotho
Malawi	18.14	6024	386	185	5453	3.4	1:29.5	0.91	0.03	0.03	0.03	0.03	0.03	0.28	Malawi
Sao Tome and Principe	0.2	985	40	17	928	1.8	1:54.6	0.94	0.02	0.02	0.02	0.02	0.02	2.3	Sao Tome and Principe
Africa	1284.47	2126350	279000	51160	1796190	2.9	1:35.1	0.84	0.02	0.02	0.02	0.03	0.03	1.08	Africa
South Sudan	12.92	3104	89	61	2954	0.0	1:4842.6	0.01	0.0	0.02	0.02	0.02	0.02	0.13	South Sudan
Sierra Leone	7.08	2410	503	74	1833	0.0	1:2477.0	0.01	0.0	0.03	0.03	0.03	0.03	0.28	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