Coronavirus COVID-19. Current state and last updates.

Coronavirus COVID-19. Current state and last updates.

05-Dec-2023                World              Russia    Europe    Asia    North America    South America    Africa    Oceania          
β„–CountryActive cases1 Week2 Week4 WeekPopulation
Total/1m popStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotal
1Singapore 6,1281,041.82559,1340.2%6,326559,29933-553,006548,4080.2%17,052559,29933-542,280500,5100.4%64,950559,29933-494,3825.882
2Malaysia 15,327469.3913,38010.0%12,72710,769111,94711,5846.0%14,52810,769163,74311,6463.3%17,55913,857213,68132.653
3Philippines 3,31129.943,2266.7%1,8451,74911853,1064.4%2,5582,342112052,7853.7%4,8934,33730526110.592
4Iran 00.0000.0%29501727800.0%1,3460721,27498,3140.1%2,280-7,377,2331257,379,38884.738
5Thailand 32,990471.8132,4570.2%5360353331,9790.2%1,016051,01131,0010.2%1,997081,98969.922
6Brunei 70,093159,302.2770,0930.0%000069,0660.1%1,027001,02768,6980.1%1,395001,3950.440
7Afghanistan 12,729321.9812,5770.3%303149215212,4550.4%663385427412,3570.4%1,367986937239.533
8Israel 30,5923,325.9430,5920.0%000030,5760.0%16001629,5440.1%1,0580101,0489.198
9Armenia 7,1712,416.927,1710.0%00006,9420.2%234052296,4100.4%7730127612.967
10India 00.0000.0%2080020800.0%4220341900.0%747057421,389.420
11Hong Kong 965128.001,2491.3%1223988-2841,7461.0%2611,02616-7812,9530.7%6742,63230-1,9887.539
12Indonesia 5,25919.095,1450.4%1372211145,0360.4%2805612234,9030.3%4581011356275.530
13Macao 16,56425,288.5516,5110.0%53005316,4640.0%1000010016,2770.1%287002870.655
14Bahrain 6034.444522.8%1441290154510.8%144129015585.6%209207021.742
15Bangladesh 00.0000.0%34003400.0%1020010217,9670.0%168-1,998,44801,998,616165.828
16Mongolia 175.131102.1%175105-93971.9%305105-8000.0%1275105173.315
17Azerbaijan 373.63395.3%17145-2392.6%17145-21062.4%10215516-6910.203
18Kuwait 3,722862.773,7130.0%90093,6940.1%2800283,6250.1%9700974.314
19Sri Lanka 00.00518.1%11142-5610.1%17203-600.0%31265021.476
20Myanmar 1,96035.861,9580.0%20021,9510.0%90091,9410.0%19001954.663
21Cambodia 20.1246.0%240-2210.4%660026.9%11110016.879
22Pakistan 12,58356.2112,5830.0%000012,5830.0%000012,5730.0%100010223.855
23Laos 00.0000.0%200200.0%600600.0%1000107.349
24China 118,97782.66118,9770.0%0000118,9770.0%0000118,9770.0%00001,439.324
25S. Korea 00.0000.0%000000.0%000000.0%000051.300
26Japan 00.0000.0%000000.0%000000.0%0000126.206
27Taiwan 00.0000.0%000000.0%000000.0%000023.847
28Iraq 67316.486730.0%00006730.0%00006730.0%000040.845
29UAE 00.0000.0%000000.0%000010,1560.0%0-1,054,52501,054,5259.973
30Vietnam 939,9379,596.38939,9370.0%0000939,9370.0%0000939,9370.0%000097.947
31Turkey 00.0000.0%000000.0%000000.0%000084.969
32Qatar 14752.351470.0%00001470.0%00001470.0%00002.808
33Saudi Arabia 00.0000.0%000000.0%00003,9000.0%0-827,9230827,92335.189
34Lebanon 145,29921,354.94145,2990.0%0000145,2990.0%0000145,2990.0%00006.804
35Jordan 1,868181.841,8680.0%00001,8680.0%00001,8680.0%000010.273
36Cyprus 00.0000.0%000000.0%000000.0%00001.213
37Oman 00.0000.0%000000.0%000010,1520.0%0-384,6690384,6695.196
38Palestine 15930.681590.0%00001590.0%00001590.0%00005.183
39Kazakhstan 14,963790.3614,9630.0%000014,9630.0%000014,9630.0%000018.932
40Georgia 00.0000.0%000000.0%000061,6090.0%0-1,776,54801,776,54810.617
41Uzbekistan 10,539311.7610,5390.0%000010,5390.0%000010,5390.0%000033.805
42Maldives 22,69141,482.6322,6910.0%000022,6910.0%000022,6910.0%00000.547
43Kyrgyzstan 7,5001,136.547,5000.0%00007,5000.0%00007,5000.0%00006.599
44Nepal 973.29970.0%0000970.0%0000970.0%000029.499
45Bhutan 1,1121,429.311,1120.0%00001,1120.0%00001,1120.0%00000.778
46Timor-Leste 220164.672200.0%00002200.0%00002200.0%00001.336
47Syria 00.0000.0%000000.0%000000.0%000017.794
48Yemen 66221.866620.0%00006620.0%00006620.0%000030.279
49Tajikistan 39740.993970.0%00003970.0%00003970.0%00009.685
*** 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/