Coronavirus COVID-19. Current state and last updates.

Coronavirus COVID-19. Current state and last updates.

График

График

02-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
1Egypt 40,895394.4840,5682.3%9385486332740,0282.3%3,7492,65023286739,3022.2%6,4924,4714281,593103.668
2South Africa 36,600611.7628,65129.9%8,561584287,94921,67416.4%18,0653,0598014,92620,61012.6%26,57810,37421415,99059.827
3Ethiopia 15,777134.9315,7440.9%13687163316,1420.8%49582535-36516,3180.8%9601,43863-541116.925
4Libya 19,5142,813.4421,1942.7%5742,24410-1,68026,3542.2%2,4239,22736-6,84029,1361.7%3,75513,32552-9,6226.936
5Chad 64638.57561,064.3%596065905684.7%596065905642.0%5960659016.750
6Algeria 60,0451,352.4360,0100.3%19215253559,8990.3%7435732414659,7830.3%1,2609574126244.398
7Mali 1,71583.041,6674.0%66144481,5833.0%2006171321,4513.6%404131926420.652
8Morocco 2,88877.612,8506.0%1711303382,9913.5%4405385-1033,0603.5%8259889-17237.214
9Tunisia 1,15096.611,16811.8%1381533-181,09310.7%54747713571,01010.4%1,0088482014011.904
10Mauritania 877185.268888.2%73813-119585.4%2243014-819245.9%45849213-474.734
11Seychelles 4985,030.3048270.5%34032221648214.3%3403222164827.9%3403222160.099
12Angola 1915.692216.8%15432-302144.8%44652-231986.2%1031064-733.568
13Nigeria 3,98018.983,9371.3%5281433,8231.8%28812831573,9062.0%593515474209.659
14Rwanda 53,4974,061.1153,4850.0%13011253,4620.0%37113553,4150.0%85128213.173
15Cabo Verde 85151.796833.8%2351177210.4%3521113717.7%48331140.560
16Lesotho 7,4373,452.657,4280.4%2818197,4360.2%5250117,4720.1%721061-352.154
17Senegal 120.701127.3%32011215.0%99001015.2%17150217.048
18Burkina Faso 36917.333690.0%000021923.4%289134515024017.1%4863362112921.298
19Réunion 3,0233,358.893,0230.0%00002,62716.1%2,1401,74133962,6278.9%2,1401,74133960.900
20DRC 6,26968.576,1971.2%7200726,0810.8%191031886,0260.6%2460324391.431
21Cameroon 2,28784.702,2870.0%00002,2870.0%00002,2870.0%000027.001
22Ghana 66921.226690.0%00006690.0%00006690.0%000031.521
23Ivory Coast 2579.5828112.1%34580-243164.0%541130-593313.8%981711-7426.828
24Kenya 1,47927.091,4355.3%76320441,4923.6%2242343-131,4663.1%34833231354.588
25Mauritius 1,4101,107.621,3728.2%112740381,4317.3%4644850-2116,8852.1%2,67617,936215-15,4751.273
26Tanzania 00.0000.0%000000.0%900900.0%900960.904
27Equatorial Guinea 7451.57740.0%0000833.7%13202-9628.1%45285121.435
28Congo 6,1951,103.886,1950.0%00006,0670.5%133051286,0670.3%133051285.612
29Gabon 4,7672,107.434,7670.0%00005,0000.2%442770-2335,3110.3%1196603-5442.262
30Mayotte 17,82464,346.5717,8240.0%000017,7890.0%35003517,7650.0%5900590.277
31Namibia 17568.0112744.1%56804811514.5%83230609712.0%117372782.573
32Sudan 7,165160.817,0202.1%145001456,0374.5%1,1730451,1285,9402.8%1,2700451,22544.555
33Benin 15612.641439.1%1300131432.2%1300131431.3%13001312.342
34Liberia 142.72140.0%0000116.2%300396.5%50055.140
35Zambia 1156.149627.1%26701910011.9%574201510010.1%968101518.738
36CAR 4,748971.364,7480.0%00004,7480.0%00004,7480.0%00004.888
37Djibouti 2424.05250.0%010-1270.0%030-3270.5%140-30.998
38Gambia 93.6590.0%000090.0%0000101.4%120-12.463
39Guinea 65849.196580.0%00006510.3%70076500.4%19110813.378
40Niger 1355.441350.0%00001636.8%49725-281727.0%10513111-3724.807
41Somalia 9,643595.329,6430.0%00009,6430.0%00009,9310.1%473323-28816.198
42Eswatini 262224.3216658.4%9710964258.8%225502202938.0%2471402331.168
43Togo 11513.671077.5%8008987.3%32150171095.9%5448068.412
44Mozambique 1153.619349.5%462402210415.2%79671111029.5%917711331.858
45Madagascar 44815.904480.0%00001,7833.4%2581,5930-1,3351,7831.9%2581,5930-1,33528.181
46Zimbabwe 1,846122.961,17160.8%71237067560034.9%1,38613821,24652722.0%1,59026741,31915.013
47Eritrea 20256.4220217.3%35350016911.0%88550331798.7%1431173233.580
48Uganda 26,740572.2026,7230.1%392201726,7420.1%1281300-226,6880.2%28423025246.732
49Guinea-Bissau 199.50219.5%240-2351.4%2162-16421.3%4252-232.000
50Botswana 602252.526020.0%00005326.8%159872707076.8%4165192-1052.384
51Sierra Leone 00.0000.0%000000.0%100100.0%20028.089
52Burundi 19,6041,615.6319,6040.0%000019,5750.0%29002919,5400.0%64006412.134
53Sao Tome and Principe 00.0000.0%000000.0%000000.0%00000.222
54Western Sahara 11.6510.0%000010.0%000010.0%00000.607
55Malawi 81341.768031.2%1000108221.1%37442-98071.0%59512619.470
56South Sudan 16214.361620.0%00001895.0%41680-272403.1%571350-7811.285
57Comoros 6068.035512.7%7205666.5%19250-6745.0%30440-140.882
*** 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/