Coronavirus COVID-19. Current state and last updates.

Coronavirus COVID-19. Current state and last updates.

График

График

31-Dec-2021                World              Russia    Europe    Asia    North America    South America    Africa    Oceania          
CountryActive cases1 Day4 Days1 WeekPopulation
Total/1m popStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotal
1Réunion 67,09574,550.0067,0950.0%000067,0950.0%000067,0950.0%00000.900
2Algeria 81,7891,842.1881,7880.0%100181,7750.0%14001481,8260.0%20570-3744.398
3Uganda 66,5091,423.2066,5090.0%000066,4970.0%12001266,4970.0%12001246.732
4South Africa 56,897951.0356,5380.6%3590035954,4781.1%2,419002,41954,4770.6%2,420002,42059.827
5Lesotho 8,0873,754.418,0870.0%00008,0870.0%00008,0870.0%00002.154
6Egypt 49,057473.2149,0570.0%000048,9970.0%60006048,9970.0%600060103.668
7Somalia 12,791789.6712,7910.0%000012,7810.0%10001012,7810.0%10001016.198
8DRC 10,003109.4010,0030.0%00009,9720.1%47160319,9720.1%471603191.431
9Chad 2,617156.242,6170.0%00002,6170.0%00002,6140.0%300316.750
10Mauritius 672527.896733.7%25260-16730.9%25260-16730.5%25260-11.273
11Ethiopia 5,38546.065,3460.9%4670395,2900.6%137411955,2640.5%185631121116.925
12Congo 983175.169830.0%00009830.0%00009830.0%00005.612
13Mozambique 2,16768.022,1670.0%00002,1670.0%00002,1670.0%000031.858
14Nigeria 3,54816.923,5480.0%00003,5480.0%00003,5480.0%0000209.659
15Guinea-Bissau 238119.002380.0%000012424.5%17460011412413.3%1746001142.000
16Niger 72929.397290.0%00007290.0%00007290.0%000024.807
17Equatorial Guinea 13996.861390.0%00001390.0%00001390.0%00001.435
18Sao Tome and Principe 53238.74530.0%00001545.9%53150381524.1%53150380.222
19Mauritania 23048.582300.0%00002300.0%00002300.0%00004.734
20Malawi 40620.854060.0%00004380.2%4360-324380.1%4360-3219.470
21Cabo Verde 58103.57580.0%0000580.0%0000580.0%00000.560
22Zimbabwe 29419.582940.0%00005352.9%653006-2415351.7%653006-24115.013
23Djibouti 7474.15740.0%0000740.0%0000740.0%00000.998
24Eswatini 7463.36740.0%0000740.0%0000740.0%00001.168
25Seychelles 15151.52150.0%0000150.0%0000150.0%00000.099
26Zambia 20610.992060.0%00001948.3%73610121867.0%1129202018.738
27Sudan 3046.823040.0%00002584.2%46-33462922.1%463131244.555
28South Sudan 11510.191150.0%00001150.0%00001150.0%000011.285
29Morocco 1754.7013826.8%3700371386.1%3700377912.0%96009637.214
30Cameroon 1334.931330.0%000020513.6%1362062-722057.5%1362062-7227.001
31CAR 5511.25550.0%0000550.0%0000550.0%00004.888
32Gambia 3715.02370.0%0000370.0%0000370.0%00002.463
33Comoros 2123.81210.0%0000498.5%19470-28494.8%19470-280.882
34Rwanda 796.00790.0%0000790.0%0000790.0%000013.173
35Mali 954.60950.0%00001051.4%6160-10953.5%26260020.652
36Namibia 3312.83330.0%00003421.0%143230-3093420.6%143230-3092.573
37Burundi 544.45540.0%0000540.0%0000540.0%000012.134
38Guinea 564.19560.0%0000436.8%130013433.8%13001313.378
39Burkina Faso 643.01640.0%0000640.0%0000640.0%000021.298
40Botswana 156.29150.0%0000638.4%16709620.4%167092.384
41Togo 283.332910.3%340-11815.5%144010318.3%23260-38.412
42Ghana 541.71540.0%00004539.2%124115094520.8%1241150931.521
43Liberia 122.33120.0%0000120.0%0000120.0%00005.140
44Madagascar 270.96270.0%0000270.0%0000487.2%30501-2128.181
45Angola 230.69230.0%0000230.0%0000230.0%000033.568
46Kenya 270.49270.0%00003010.7%15180-3306.0%15180-354.588
47Senegal 130.76130.0%00001521.8%18200-21511.9%18200-217.048
48Ivory Coast 110.41110.0%0000212.3%2120-10213.7%6160-1026.828
49Libya 50.7250.0%000050.0%0000144.5%5140-96.936
50Benin 60.4960.0%000060.0%000060.0%000012.342
51Gabon 10.4410.0%000010.0%000010.0%00002.262
52Western Sahara 00.0000.0%000000.0%000000.0%00000.607
53Eritrea 00.0000.0%000000.0%000000.0%00003.580
54Mayotte 00.0000.0%000000.0%000000.0%00000.277
55Tunisia 00.0000.0%000000.0%26001025000.0%26001025011.904
56Sierra Leone 00.0000.0%000000.0%200200.0%20028.089
57Tanzania 00.0000.0%000000.0%15001500.0%15001560.904
*** 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/