Coronavirus COVID-19. Current state and last updates.

Coronavirus COVID-19. Current state and last updates.

График

График

06-Dec-2023                World              Russia    Europe    Asia    North America    South America    Africa    Oceania          
CountryActive cases1 Week2 Week4 WeekPopulation
Total/1m popStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotal
1Burkina Faso 994.65803.4%210219643.3%370235641.6%37023521.298
2Namibia 969376.609500.3%2102199330.3%3802369240.2%4702452.573
3Zimbabwe 1,31287.391,2770.4%3702351,2370.4%7904751,2130.3%106079915.013
4Egypt 49,228474.8649,2280.0%000049,2280.0%000049,2280.0%0000103.668
5South Africa 61,3621,025.6661,3620.0%000061,3620.0%000061,3620.0%000059.827
6Algeria 82,0551,848.1782,0350.0%20002082,0160.0%39003982,0030.0%52005244.398
7Morocco 00.0000.0%1040010400.0%404004044,8940.3%404-1,256,15101,256,55537.214
8Tunisia 00.0000.0%000000.0%000000.0%000011.904
9Senegal 301.76271.5%3003270.8%3003270.4%300317.048
10Réunion 00.0067,0951.6%8,007-418,5720426,57967,0950.8%8,007-418,5720426,57967,0950.4%8,007-418,5720426,5790.900
11DRC 13,269145.1313,2660.0%300313,2240.0%45004513,2240.0%45004591.431
12Cameroon 170.63151.8%2002711.0%231301075.3%231301027.001
13Nigeria 4,05519.344,0450.0%1000104,0380.0%1700174,0380.0%170017209.659
14Ghana 50.1600.0%1270500.0%104990500.0%104990531.521
15Rwanda 110.84110.0%0000110.0%0000110.0%000013.173
16Ivory Coast 220.82620.4%16001669.7%16001664.7%16001626.828
17Ethiopia 5,34245.695,3350.0%70075,3150.0%2700275,3150.0%270027116.925
18Kenya 1,13220.741,1320.0%00001,1320.0%00001,0720.2%60006054.588
19Mauritius 696546.746960.0%00006960.0%00006960.0%00001.273
20Seychelles 85858.592726.0%109510581517.1%12151070158.2%121510700.099
21Tanzania 00.0000.0%200200.0%900900.0%900960.904
22Equatorial Guinea 13996.861390.0%00001390.0%00001390.0%00001.435
23Congo 983175.169830.0%00009830.0%00009830.0%00005.612
24Gabon 6528.74650.0%00001113.5%540054116.6%5400542.262
25Mayotte 00.0000.0%000000.0%000000.0%00000.277
26Sudan 00.0000.0%000000.0%000000.0%000044.555
27Benin 262.11260.0%0000260.0%0000260.0%000012.342
28Liberia 122.33120.0%0000120.0%0000120.0%00005.140
29Mauritania 30965.273060.1%30033060.1%30033060.0%30034.734
30Zambia 3,913208.833,9090.0%40043,9020.0%1100113,9020.0%11001118.738
31CAR 5511.25550.0%0000550.0%0000550.0%00004.888
32Chad 2,633157.192,6330.0%00002,6330.0%00002,6330.0%000016.750
33Djibouti 7474.15740.0%0000740.0%0000740.0%00000.998
34Gambia 6526.39650.0%0000650.0%0000650.0%00002.463
35Guinea 34425.713430.0%10013380.1%60063380.1%600613.378
36Niger 72929.397290.0%00007290.0%00007290.0%000024.807
37Somalia 12,791789.6712,7910.0%000012,7910.0%000012,7910.0%000016.198
38Eswatini 623533.395840.9%3900395840.5%3900395510.4%7200721.168
39Togo 252.97250.0%0000250.0%0000181.2%70078.412
40Mozambique 2,62182.272,6080.1%1300132,6000.1%2201212,6000.0%22012131.858
41Cabo Verde 305544.643050.0%00003050.0%00002990.1%70160.560
42Madagascar 983.48940.6%4004712.4%280127671.4%32013128.181
43Angola 64719.276460.0%10016230.3%2400246210.1%26002633.568
44Eritrea 00.0000.0%000000.0%000000.0%00003.580
45Uganda 67,9201,453.3967,9200.0%000067,9200.0%000067,8080.0%1120011246.732
46Guinea-Bissau 508254.005080.0%00005080.0%00005080.0%00002.000
47Mali 874.21870.0%0000870.0%0000840.1%300320.652
48Libya 20.2920.0%000020.0%000020.0%00006.936
49Botswana 547229.455140.9%3300335100.5%3700374710.5%7600762.384
50Sierra Leone 00.0000.0%000000.0%000000.0%00008.089
51Burundi 1,11491.811,1140.0%00001,1140.0%00007591.4%3550035512.134
52Sao Tome and Principe 42189.19519.0%42510-92811.0%937901400.0%127850420.222
53Western Sahara 00.0000.0%000000.0%000000.0%00000.607
54Malawi 00.0000.0%35003500.0%103001036490.5%103-85,651085,75419.470
55South Sudan 34230.312783.0%6400641158.1%227002271154.0%2270022711.285
56Comoros 910.2090.0%000090.0%000090.0%00000.882
57Lesotho 8,0873,754.418,0870.0%00008,0870.0%00008,0870.0%00002.154
*** 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/