Coronavirus COVID-19. Current state and last updates.

Africa    Oceania          

№	Country	Active cases		1 Week						2 Week						4 Week						Population
		Total	/1m pop	Start from	Speed	New cases	Recovered	Died	Total	Start from	Speed	New cases	Recovered	Died	Total	Start from	Speed	New cases	Recovered	Died	Total
1	Lesotho	8,087	3,754.41	8,087	0.0%	0	0	0	0	8,087	0.0%	0	0	0	0	8,087	0.0%	0	0	0	0	2.154
2	Algeria	82,055	1,848.17	82,035	0.0%	20	0	0	20	82,016	0.0%	39	0	0	39	82,003	0.0%	52	0	0	52	44.398
3	Uganda	67,920	1,453.39	67,920	0.0%	0	0	0	0	67,920	0.0%	0	0	0	0	67,808	0.0%	112	0	0	112	46.732
4	South Africa	61,362	1,025.66	61,362	0.0%	0	0	0	0	61,362	0.0%	0	0	0	0	61,362	0.0%	0	0	0	0	59.827
5	Seychelles	85	858.59	27	26.0%	109	51	0	58	15	17.1%	121	51	0	70	15	8.2%	121	51	0	70	0.099
6	Somalia	12,791	789.67	12,791	0.0%	0	0	0	0	12,791	0.0%	0	0	0	0	12,791	0.0%	0	0	0	0	16.198
7	Mauritius	696	546.74	696	0.0%	0	0	0	0	696	0.0%	0	0	0	0	696	0.0%	0	0	0	0	1.273
8	Cabo Verde	305	544.64	305	0.0%	0	0	0	0	305	0.0%	0	0	0	0	299	0.1%	7	0	1	6	0.560
9	Eswatini	623	533.39	584	0.9%	39	0	0	39	584	0.5%	39	0	0	39	551	0.4%	72	0	0	72	1.168
10	Egypt	49,228	474.86	49,228	0.0%	0	0	0	0	49,228	0.0%	0	0	0	0	49,228	0.0%	0	0	0	0	103.668
11	Namibia	969	376.60	950	0.3%	21	0	2	19	933	0.3%	38	0	2	36	924	0.2%	47	0	2	45	2.573
12	Guinea-Bissau	508	254.00	508	0.0%	0	0	0	0	508	0.0%	0	0	0	0	508	0.0%	0	0	0	0	2.000
13	Sao Tome and Principe	51	229.73	28	16.0%	51	28	0	23	2	30.5%	81	32	0	49	0	0.0%	85	34	0	51	0.222
14	Botswana	547	229.45	514	0.9%	33	0	0	33	510	0.5%	37	0	0	37	471	0.5%	76	0	0	76	2.384
15	Zambia	3,913	208.83	3,909	0.0%	4	0	0	4	3,902	0.0%	11	0	0	11	3,902	0.0%	11	0	0	11	18.738
16	Congo	983	175.16	983	0.0%	0	0	0	0	983	0.0%	0	0	0	0	983	0.0%	0	0	0	0	5.612
17	Chad	2,633	157.19	2,633	0.0%	0	0	0	0	2,633	0.0%	0	0	0	0	2,633	0.0%	0	0	0	0	16.750
18	DRC	13,269	145.13	13,266	0.0%	3	0	0	3	13,224	0.0%	45	0	0	45	13,224	0.0%	45	0	0	45	91.431
19	Equatorial Guinea	139	96.86	139	0.0%	0	0	0	0	139	0.0%	0	0	0	0	139	0.0%	0	0	0	0	1.435
20	Burundi	1,114	91.81	1,114	0.0%	0	0	0	0	1,114	0.0%	0	0	0	0	759	1.4%	355	0	0	355	12.134
21	Zimbabwe	1,312	87.39	1,277	0.4%	37	0	2	35	1,237	0.4%	79	0	4	75	1,213	0.3%	106	0	7	99	15.013
22	Mozambique	2,621	82.27	2,608	0.1%	13	0	0	13	2,600	0.1%	22	0	1	21	2,600	0.0%	22	0	1	21	31.858
23	Djibouti	74	74.15	74	0.0%	0	0	0	0	74	0.0%	0	0	0	0	74	0.0%	0	0	0	0	0.998
24	Mauritania	309	65.27	306	0.1%	3	0	0	3	306	0.1%	3	0	0	3	306	0.0%	3	0	0	3	4.734
25	Ethiopia	5,342	45.69	5,335	0.0%	7	0	0	7	5,315	0.0%	27	0	0	27	5,315	0.0%	27	0	0	27	116.925
26	South Sudan	342	30.31	278	3.0%	64	0	0	64	115	8.1%	227	0	0	227	115	4.0%	227	0	0	227	11.285
27	Niger	729	29.39	729	0.0%	0	0	0	0	729	0.0%	0	0	0	0	729	0.0%	0	0	0	0	24.807
28	Gabon	65	28.74	65	0.0%	0	0	0	0	11	13.5%	54	0	0	54	11	6.6%	54	0	0	54	2.262
29	Gambia	65	26.39	65	0.0%	0	0	0	0	65	0.0%	0	0	0	0	65	0.0%	0	0	0	0	2.463
30	Guinea	344	25.71	343	0.0%	1	0	0	1	338	0.1%	6	0	0	6	338	0.1%	6	0	0	6	13.378
31	Kenya	1,132	20.74	1,132	0.0%	0	0	0	0	1,132	0.0%	0	0	0	0	1,072	0.2%	60	0	0	60	54.588
32	Nigeria	4,055	19.34	4,045	0.0%	10	0	0	10	4,038	0.0%	17	0	0	17	4,038	0.0%	17	0	0	17	209.659
33	Angola	647	19.27	646	0.0%	1	0	0	1	623	0.3%	24	0	0	24	621	0.1%	26	0	0	26	33.568
34	CAR	55	11.25	55	0.0%	0	0	0	0	55	0.0%	0	0	0	0	55	0.0%	0	0	0	0	4.888
35	Comoros	9	10.20	9	0.0%	0	0	0	0	9	0.0%	0	0	0	0	9	0.0%	0	0	0	0	0.882
36	Burkina Faso	99	4.65	80	3.4%	21	0	2	19	64	3.3%	37	0	2	35	64	1.6%	37	0	2	35	21.298
37	Mali	87	4.21	87	0.0%	0	0	0	0	87	0.0%	0	0	0	0	84	0.1%	3	0	0	3	20.652
38	Madagascar	98	3.48	94	0.6%	4	0	0	4	71	2.4%	28	0	1	27	67	1.4%	32	0	1	31	28.181
39	Togo	25	2.97	25	0.0%	0	0	0	0	25	0.0%	0	0	0	0	18	1.2%	7	0	0	7	8.412
40	Liberia	12	2.33	12	0.0%	0	0	0	0	12	0.0%	0	0	0	0	12	0.0%	0	0	0	0	5.140
41	Benin	26	2.11	26	0.0%	0	0	0	0	26	0.0%	0	0	0	0	26	0.0%	0	0	0	0	12.342
42	Senegal	30	1.76	27	1.5%	3	0	0	3	27	0.8%	3	0	0	3	27	0.4%	3	0	0	3	17.048
43	Rwanda	11	0.84	11	0.0%	0	0	0	0	11	0.0%	0	0	0	0	11	0.0%	0	0	0	0	13.173
44	Ivory Coast	22	0.82	6	20.4%	16	0	0	16	6	9.7%	16	0	0	16	6	4.7%	16	0	0	16	26.828
45	Cameroon	15	0.56	15	0.0%	0	0	0	0	7	10.4%	21	13	0	8	7	5.1%	21	13	0	8	27.001
46	Libya	2	0.29	2	0.0%	0	0	0	0	2	0.0%	0	0	0	0	2	0.0%	0	0	0	0	6.936
47	Morocco	0	0.00	0	0.0%	104	0	0	104	0	0.0%	404	0	0	404	4,894	0.3%	404	-1,256,151	0	1,256,555	37.214
48	Tunisia	0	0.00	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	11.904
49	Réunion	0	0.00	67,095	1.6%	8,007	-418,572	0	426,579	67,095	0.8%	8,007	-418,572	0	426,579	67,095	0.4%	8,007	-418,572	0	426,579	0.900
50	Ghana	0	0.00	0	0.0%	0	0	0	0	0	0.0%	92	92	0	0	0	0.0%	92	92	0	0	31.521
51	Eritrea	0	0.00	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	3.580
52	Sierra Leone	0	0.00	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	8.089
53	Tanzania	0	0.00	0	0.0%	2	0	0	2	0	0.0%	9	0	0	9	0	0.0%	9	0	0	9	60.904
54	Western Sahara	0	0.00	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0.607
55	Malawi	0	0.00	0	0.0%	35	0	0	35	0	0.0%	103	0	0	103	649	0.5%	103	-85,651	0	85,754	19.470
56	Mayotte	0	0.00	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0.277
57	Sudan	0	0.00	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	44.555

*** He recovered + died more became ill     Average daily infection rate of more than > 10%.    
* This is the current state. There are no data about 80,000 people falling ill in China in February.
** Speed ​​is the ratio of new illnesses (per week) to the number of days and to the number of sick (a week ago), which supposedly infected them.
The data source https://www.worldometers.info/coronavirus/