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Search 232 countries or 68 ships ~
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No cookies, advertising or tracking. Here you will find reported COVID-19 data for 232 countries/territories based on clinical diagnostics or
RT-PCR tests. Also 68 ships' data.
Nation (232) | Cases | Deaths | Recovered |
World Totals | 8,364,842 | 447,717 | 4,152,005 |
United States | 2,213,019 | 125,337 | 5.7% | 903,137 |
Brazil | 929,149 | 45,467 | 4.9% | 477,364 |
Russia | 553,301 | 7,478 | 1.4% | 304,342 |
India | 359,506 | 12,029 | 3.3% | 190,755 |
U.K. | 299,600 | 42,054 | 14.0% | 1,293 |
Spain | 291,408 | 27,136 | 9.3% | _ |
Italy | 237,500 | 34,405 | 14.5% | 178,526 |
Peru | 237,156 | 7,056 | 3.0% | 125,205 |
Iran | 195,051 | 9,185 | 4.7% | 154,812 |
Germany | 189,027 | 8,918 | 4.7% | 173,600 |
Chile | 184,449 | 3,383 | 1.8% | 156,232 |
Turkey | 181,298 | 4,842 | 2.7% | 153,379 |
Mexico | 154,863 | 18,310 | 11.8% | 116,178 |
Pakistan | 154,760 | 2,975 | 1.9% | 58,437 |
Saudi Arabia | 141,234 | 1,091 | 0.8% | 91,662 |
Canada | 101,087 | 8,270 | 8.2% | 61,899 |
Bangladesh | 98,489 | 1,305 | 1.3% | 38,189 |
China | 83,265 | 4,634 | 5.6% | 78,379 |
Qatar | 83,174 | 82 | 0.1% | 62,172 |
South Africa | 76,334 | 1,625 | 2.1% | 42,063 |
Belgium | 60,244 | 9,675 | 16.1% | 16,684 |
Belarus | 56,032 | 324 | 0.6% | 32,735 |
Colombia | 54,931 | 1,801 | 3.3% | 20,366 |
Sweden | 54,562 | 5,041 | 9.2% | _ |
Netherlands | 49,412 | 6,093 | 12.3% | 187 |
Ecuador | 47,943 | 3,970 | 8.3% | 23,684 |
Egypt | 47,856 | 1,766 | 3.7% | 12,730 |
UAE | 42,982 | 293 | 0.7% | 28,861 |
Indonesia | 41,431 | 2,276 | 5.5% | 16,243 |
Singapore | 41,216 | 26 | 0.1% | 31,163 |
Portugal | 37,672 | 1,523 | 4.04% | 23,580 |
Kuwait | 37,533 | 306 | 0.8% | 28,896 |
France | 194,347 | 29,550 | 15.2% | 73,459 |
Argentina | 34,159 | 886 | 2.6% | 10,512 |
Ukraine | 33,234 | 943 | 2.8% | 14,943 |
Switzerland | 31,183 | 1,956 | 6.3% | 28,900 |
Poland | 30,701 | 1,286 | 4.2% | 14,921 |
Philippines | 27,238 | 1,108 | 4.1% | 6,820 |
Afghanistan | 26,874 | 504 | 1.9% | 6,158 |
Oman | 26,079 | 116 | 0.4% | 11,797 |
Ireland | 25,334 | 1,709 | 6.7% | 22,698 |
Iraq | 24,254 | 773 | 3.2% | 10,770 |
Dom Republic | 24,105 | 633 | 2.6% | 14,216 |
Romania | 22,760 | 1,451 | 6.4% | 16,117 |
Panama | 21,962 | 457 | 2.1% | 13,774 |
Bolivia | 19,883 | 659 | 3.3% | 3,752 |
Israel | 19,637 | 303 | 1.5% | 15,459 |
Bahrain | 19,553 | 48 | 0.2% | 13,866 |
Armenia | 18,033 | 302 | 1.7% | 6,814 |
Japan | 17,587 | 927 | 5.3% | 15,701 |
Austria | 17,203 | 687 | 4.0% | 16,099 |
Nigeria | 17,148 | 455 | 2.7% | 5,623 |
Kazakhstan | 15,542 | 88 | 0.6% | 9,902 |
Ghana | 12,590 | 66 | 0.5% | 4,410 |
Serbia | 12,522 | 257 | 2.1% | 11,511 |
Denmark | 12,294 | 598 | 4.9% | 11,185 |
Moldova | 12,254 | 427 | 3.5% | 7,077 |
South Korea | 12,198 | 279 | 2.3% | 10,774 |
Algeria | 11,147 | 788 | 7.1% | 7,842 |
Guatemala | 10,706 | 418 | 3.9% | 2,096 |
Azerbaijan | 10,662 | 126 | 1.2% | 5,948 |
Czechia | 10,112 | 332 | 3.3% | 7,360 |
Cameroon | 9,864 | 276 | 2.8% | 5,570 |
Honduras | 9,656 | 330 | 3.4% | 1,075 |
Morocco | 8,985 | 212 | 2.4% | 7,960 |
Norway | 8,680 | 243 | 2.8% | 8,138 |
Malaysia | 8,515 | 121 | 1.42% | 7,873 |
Sudan | 7,740 | 477 | 6.2% | 2,820 |
Australia | 7,370 | 102 | 1.38% | 6,859 |
Nepal | 7,177 | 20 | 0.3% | 1,167 |
Finland | 7,117 | 326 | 4.6% | 6,200 |
Ivory Coast | 5,679 | 46 | 0.8% | 2,637 |
Uzbekistan | 5,638 | 19 | 0.3% | 4,131 |
Senegal | 5,369 | 73 | 1.4% | 3,606 |
Tajikistan | 5,221 | 51 | 1.0% | 3,700 |
Congo Kinshasa | 5,100 | 115 | 2.3% | 640 |
Guinea | 4,639 | 26 | 0.6% | 3,327 |
Haiti | 4,547 | 80 | 1.8% | 24 |
Djibouti | 4,539 | 43 | 0.9% | 3,324 |
N. Macedonia | 4,482 | 210 | 4.7% | 1,803 |
Gabon | 4,114 | 29 | 0.7% | 1,432 |
Luxembourg | 4,085 | 110 | 2.7% | 3,935 |
Hungary | 4,078 | 567 | 13.9% | 2,547 |
El Salvadore | 4,066 | 78 | 1.9% | 2,137 |
Kenya | 3,860 | 105 | 2.7% | 1,328 |
Ethiopia | 3,759 | 63 | 1.7% | 849 |
Bulgaria | 3,453 | 181 | 5.2% | 1,817 |
Greece | 3,203 | 187 | 5.8% | 1,374 |
Venezuela | 3,150 | 27 | 0.9% | 835 |
Bosnia & H | 3,141 | 168 | 5.3% | 2,197 |
Thailand | 3,135 | 58 | 1.9% | 2,996 |
Somalia | 2,658 | 88 | 3.3% | 649 |
Kyrgyzstan | 2,562 | 30 | 1.2% | 1,902 |
C.A.R. | 2,410 | 14 | 0.6% | 396 |
Mayotte | 2,333 | 29 | 1.2% | 2,058 |
Cuba | 2,280 | 84 | 3.7% | 1,999 |
Croatia | 2,258 | 107 | 4.7% | 2,141 |
Maldives | 2,094 | 8 | 0.4% | 1,670 |
Mauritania | 2,057 | 93 | 4.5% | 373 |
Estonia | 1,977 | 69 | 3.5% | 1,743 |
Sri Lanka | 1,924 | 11 | 0.6% | 1,397 |
Mali | 1,890 | 107 | 5.7% | 1,168 |
Nicaragua | 1,823 | 64 | 3.5% | 1,238 |
Iceland | 1,815 | 10 | 0.6% | 1,797 |
Costa Rica | 1,796 | 12 | 0.7% | 794 |
Lithuania | 1,778 | 76 | 4.3% | 1,447 |
South Sudan | 1,776 | 30 | 1.7% | 58 |
Albania | 1,722 | 38 | 2.2% | 1,077 |
Equatorial Guinea | 1,664 | 32 | 1.9% | 515 |
Slovakia | 1,561 | 28 | 1.8% | 1,437 |
French Guiana | 1,554 | 5 | 0.3% | 663 |
New Zealand | 1,506 | 22 | 1.5% | 1,482 |
Slovenia | 1,503 | 109 | 7.3% | 1,359 |
Guinea-Bissau | 1,492 | 15 | 1.0% | 153 |
Lebanon | 1,489 | 32 | 2.1% | 907 |
Kosovo | 1,486 | 33 | 2.2% | 953 |
Zambia | 1,405 | 11 | 0.8% | 1,142 |
Madagascar | 1,378 | 12 | 0.9% | 450 |
Paraguay | 1,303 | 13 | 1.0% | 699 |
Sierra Leone | 1,225 | 51 | 4.2% | 686 |
Tunisia | 1,128 | 50 | 4.4% | 1,004 |
Hong Kong | 1,121 | 4 | 0.4% | 1,071 |
Latvia | 1,104 | 30 | 2.7% | 875 |
Niger | 1,016 | 66 | 6.5% | 885 |
Jordan | 987 | 9 | 0.9% | 693 |
Republic of Cyprus | 985 | 18 | 1.8% | 816 |
Navy: USS Theodore Roosevelt | 1156 | 1 | 112 |
Navy: Charles de Gaulle | 1046 | _ | _ |
Ship: Ruby Princess | 852 | 22 | _ |
Ship: *Diamond Princess | 712 | 14 | 645 |
Ship: Celebrity Apex | 224 | _ | _ |
Ship: Disney Wonder | 200 | _ | _ |
Ship: Costa Atlantica | 148 | _ | _ |
Ship: Greg Mortimer | 128 | _ | _ |
Ship: MV Horizon | 125 | _ | _ |
Ship: *Grand Princess | 122 | 7 | _ |
Navy: USS Kidd | 96 | _ | _ |
Ship: MV Artania | 89 | 4 | _ |
Ship: MSC Seaview | 86 | _ | _ |
Ship: Ovation of the Seas | 79 | 1 | _ |
Navy: USNS Leroy Grumman | 52 | 2 | 0 |
Ship: Celebrity Flora | 48 | _ | _ |
Ship: A Sara | 45 | _ | _ |
Ship: Costa Fascinosa | 43 | 3 | _ |
Ship: Voyager of the Seas | 39 | 2 | _ |
Ship: Costa Luminosa | 36 | 3 | _ |
Navy: Chevalier Paul | 35 | _ | _ |
Ship: Symphony of the Seas | 31 | 1 | _ |
Navy: ROCS Pan Shi | 31 | _ | _ |
Navy: USS Tripoli | 24 | _ | _ |
Ship: Celebrity Solstice | 20 | 1 | _ |
Ship: Adventure of the Seas | 19 | _ | _ |
Navy: USS Ronald Reagan | 16 | _ | _ |
Ship: Oasis of the Seas | 14 | 3 | _ |
Ship: Costa Favolosa | 13 | 1 | _ |
Ship: Coral Princess | 12 | 3 | _ |
Ship: World Dream | 12 | _ | _ |
Ship: MS Zaandam | 11 | 4 | 7 |
Ship: Ship: Celebrity Eclipse | 10 | 2 | _ |
Ship: Mein Schiff | 9 | _ | _ |
Navy: HNLMS Dolfijn | 8 | _ | _ |
Ship: Black Watch | 8 | _ | _ |
Navy: USNS Mercy | 7 | _ | _ |
Ship: Pride of America | 7 | _ | _ |
Ship: MSC Bellissima | 6 | _ | _ |
Ship: Braemar | 5 | _ | _ |
Ship: Norwegian Breakaway | 3 | 1 | _ |
Navy: USS Essex | 3 | _ | _ |
Ship: Silver Shadow | 2 | 1 | _ |
Ship: Marella Explorer II | 2 | 1 | _ |
Navy: USS Boxer | 2 | _ | _ |
Navy: USS Nimitz | 2 | _ | _ |
Navy: USNS Comfort | 2 | _ | _ |
Ship: Costa Magica | 2 | _ | _ |
Ship: Liberty of the Seas | 2 | _ | _ |
Ship: MSC Preziosa | 2 | _ | _ |
Ship: Celebrity Infinity | 2 | _ | _ |
Ship: Seven Seas Navigator | 2 | _ | _ |
Ship: Monarch | 1 | 1 | _ |
Navy: USS Carl Vinson | 1 | _ | _ |
Navy: USS Ralph Johnson | 1 | _ | _ |
Navy: USS Coronado | 1 | _ | _ |
Navy: Leopold I | 1 | _ | _ |
Ship: Costa Victoria | 1 | _ | _ |
Ship: MSC Splendida | 1 | _ | _ |
Ship: Norwegian Bliss | 1 | _ | _ |
Ship: Sun Princess | 1 | _ | _ |
Ship: Westerdam | 1 | _ | _ |
Ship: MSC Armonia | 1 | _ | _ |
Ship: Carnival Valor | 1 | _ | _ |
Ship: Majesty of the Seas | 1 | _ | _ |
Ship: Riviera | 1 | _ | _ |
Ship: Carnival Freedom | 1 | _ | _ |
Navy: Greg Mortimer |
Search for coronavirus updates on 232 countries / territories or 68 ships
Nation Region (232) | Cases | Deaths | Recovered |
World Totals | 8,364,842 | 447,717 | 4,152,005 |
Abkhazia | 36 | 1 | 27 |
Afghanistan | 26874 | 504 | 6158 |
Albania | 1722 | 38 | 1077 |
Algeria | 11147 | 788 | 7842 |
Andorra | 854 | 52 | 791 |
Angola | 148 | 6 | 64 |
Anguilla | 3 | _ | 3 |
Antigua and Barbuda | 26 | 3 | 22 |
Argentina | 34159 | 886 | 10512 |
Armenia | 18033 | 302 | 6814 |
Artsakh | 78 | _ | 54 |
Aruba | 101 | 3 | 98 |
Australia | 7370 | 102 | 6859 |
Austria | 17203 | 687 | 16099 |
Azerbaijan | 10662 | 126 | 5948 |
Bahamas | 104 | 11 | 72 |
Bahrain | 19553 | 48 | 13866 |
Bangladesh | 98489 | 1305 | 38189 |
Barbados | 97 | 7 | 83 |
Belarus | 56032 | 324 | 32735 |
Belgium | 60244 | 9675 | 16684 |
Belize | 22 | 2 | 16 |
Benin | 572 | 9 | 237 |
Bermuda | 144 | 9 | 128 |
Bhutan | 67 | _ | 24 |
Bolivia | 19883 | 659 | 3752 |
Bonaire | 2 | _ | 2 |
Bosnia and Herzegovina | 3141 | 168 | 2197 |
Botswana | 60 | 1 | 24 |
Brazil | 929149 | 45467 | 477364 |
British Virgin Islands | 8 | 1 | 7 |
Brunei | 141 | 3 | 138 |
Bulgaria | 3453 | 181 | 1817 |
Burkina Faso | 895 | 53 | 809 |
Burundi | 104 | 1 | 75 |
Cabo Verde | 791 | 7 | 354 |
Cambodia | 128 | _ | 126 |
Cameroon | 9864 | 276 | 5570 |
Canada | 101087 | 8270 | 61899 |
Caribbean Netherlands | 7 | _ | 7 |
Cayman Islands | 193 | 1 | 123 |
Central African Republic | 2410 | 14 | 396 |
Chad | 853 | 74 | 720 |
Channel Islands | 568 | 48 | 512 |
Chile | 184449 | 3383 | 156232 |
China | 83265 | 4634 | 78379 |
Colombia | 54931 | 1801 | 20366 |
Comoros | 197 | 3 | 127 |
Congo Brazzaville | 883 | 27 | 391 |
Costa Rica | 1796 | 12 | 794 |
Croatia | 2258 | 107 | 2141 |
Cuba | 2280 | 84 | 1999 |
Curacao | 23 | 1 | 19 |
Czech Republic | 10112 | 332 | 7360 |
Denmark | 12294 | 598 | 11185 |
Djibouti | 4539 | 43 | 3324 |
Dominica | 18 | _ | 16 |
Dominican Republic | 24105 | 633 | 14216 |
Donetsk PR | 539 | 18 | 134 |
DRC | 5100 | 115 | 640 |
Ecuador | 47943 | 3970 | 23684 |
Egypt | 47856 | 1766 | 12730 |
El Salvador | 4066 | 78 | 2137 |
Equatorial Guinea | 1664 | 32 | 515 |
Eritrea | 121 | _ | 39 |
Estonia | 1977 | 69 | 1743 |
Eswatini | 520 | 4 | 259 |
Ethiopia | 3759 | 63 | 849 |
Faeroe Islands | 187 | _ | 187 |
Falkland Islands | 13 | _ | 13 |
Fiji | 18 | _ | 18 |
Finland | 7117 | 326 | 6200 |
France | 194347 | 29550 | 73459 |
French Guiana | 1554 | 5 | 663 |
French Polynesia | 60 | _ | 60 |
Gabon | 4114 | 29 | 1432 |
Gambia | 34 | 1 | 24 |
Georgia | 888 | 14 | 731 |
Germany | 189027 | 8918 | 173600 |
Ghana | 12590 | 66 | 4410 |
Gibraltar | 176 | _ | 176 |
Greece | 3203 | 187 | 1374 |
Greenland | 13 | _ | 13 |
Grenada | 23 | _ | 22 |
Guadeloupe | 171 | 14 | 157 |
Guam | 185 | 5 | 168 |
Guantanamo Bay | 1 | _ | _ |
Guatemala | 10706 | 418 | 2096 |
Guernsey | 252 | 13 | 238 |
Guinea WA | 4639 | 26 | 3327 |
Guinea-Bissau | 1492 | 15 | 153 |
Guyana | 171 | 12 | 99 |
Haiti | 4547 | 80 | 24 |
Honduras | 9656 | 330 | 1075 |
Hong Kong | 1121 | 4 | 1071 |
Hungary | 4078 | 567 | 2547 |
Iceland | 1815 | 10 | 1797 |
India | 359506 | 12029 | 190755 |
Indonesia | 41431 | 2276 | 16243 |
Iran | 195051 | 9185 | 154812 |
Iraq | 24254 | 773 | 10770 |
Ireland | 25334 | 1709 | 22698 |
Isle of Man | 336 | 24 | 312 |
Israel | 19637 | 303 | 15459 |
Italy | 237500 | 34405 | 178526 |
Ivory Coast | 5679 | 46 | 2637 |
Jamaica | 621 | 10 | 449 |
Japan | 17587 | 927 | 15701 |
Jersey | 311 | 30 | 290 |
Jordan | 987 | 9 | 693 |
Kazakhstan | 15542 | 88 | 9902 |
Kenya | 3860 | 105 | 1328 |
Kosovo | 1486 | 33 | 953 |
Kuwait | 37533 | 306 | 28896 |
Kyrgyzstan | 2562 | 30 | 1902 |
Laos | 19 | _ | 19 |
Latvia | 1104 | 30 | 875 |
Lebanon | 1489 | 32 | 907 |
Lesotho | 4 | _ | 2 |
Liberia | 516 | 33 | 240 |
Libya | 484 | 10 | 76 |
Liechtenstein | 82 | 1 | 55 |
Lithuania | 1778 | 76 | 1447 |
Luhansk PR | 429 | 9 | 357 |
Luxembourg | 4085 | 110 | 3935 |
Macao | 45 | _ | 45 |
Macedonia | 1386 | 61 | 500 |
Madagascar | 1378 | 12 | 450 |
Malawi | 564 | 6 | 73 |
Malaysia | 8515 | 121 | 7873 |
Maldives | 2094 | 8 | 1670 |
Mali | 1890 | 107 | 1168 |
Malta | 662 | 9 | 610 |
Martinique | 202 | 14 | 98 |
Mauritania | 2057 | 93 | 373 |
Mauritius | 337 | 10 | 325 |
Mayotte | 2333 | 29 | 2058 |
Mexico | 154863 | 18310 | 116178 |
Moldova | 12254 | 427 | 7077 |
Monaco | 99 | 4 | 94 |
Mongolia | 197 | _ | 111 |
Montenegro | 326 | 9 | 315 |
Montserrat | 11 | 1 | 10 |
Morocco | 8985 | 212 | 7960 |
Mozambique | 638 | 4 | 160 |
Myanmar | 262 | 6 | 185 |
Namibia | 34 | _ | 18 |
Naval: Charles de Gaulle | 1046 | _ | _ |
Naval: Chevalier Paul | 35 | _ | _ |
Naval: HNLMS Dolfijn | 8 | _ | _ |
Naval: Leopold I | 1 | _ | _ |
Naval: ROCS Pan Shi | 31 | _ | _ |
Naval: USNS Comfort | 2 | _ | _ |
Naval: USNS Leroy Grumman | 52 | 2 | 0 |
Naval: USNS Mercy | 7 | _ | _ |
Naval: USS Boxer | 2 | _ | _ |
Naval: USS Carl Vinson | 1 | _ | _ |
Naval: USS Coronado | 1 | _ | _ |
Naval: USS Essex | 3 | _ | _ |
Naval: USS Kidd | 96 | _ | _ |
Naval: USS Nimitz | 2 | _ | _ |
Naval: USS Ralph Johnson | 1 | _ | _ |
Naval: USS Ronald Reagan | 16 | _ | _ |
Naval: USS Theodore Roosevelt | 1156 | 1 | 112 |
Naval: USS Tripoli | 24 | _ | _ |
Nepal | 7177 | 20 | 1167 |
Netherlands | 49412 | 6093 | 187 |
New Caledonia | 21 | _ | 21 |
New Zealand | 1506 | 22 | 1482 |
Nicaragua | 1823 | 64 | 1238 |
Niger | 1016 | 66 | 885 |
Nigeria | 17148 | 455 | 5623 |
North Macedonia | 4482 | 210 | 1803 |
Northern Cyprus | 108 | 4 | 104 |
Northern Mariana Islands | 27 | 2 | 19 |
Norway | 8680 | 243 | 8138 |
Oman | 26079 | 116 | 11797 |
Pakistan | 154760 | 2975 | 58437 |
Palestine | 532 | 3 | 415 |
Panama | 21962 | 457 | 13774 |
Papua New Guinea | 8 | _ | 8 |
Paraguay | 1303 | 13 | 699 |
Peru | 237156 | 7056 | 125205 |
Philippines | 27238 | 1108 | 6820 |
Poland | 30701 | 1286 | 14921 |
Portugal | 37672 | 1523 | 23580 |
Puerto Rico | 5811 | 147 | 850 |
Qatar | 83174 | 82 | 62172 |
Republic of Cyprus | 985 | 18 | 816 |
Reunion | 495 | 1 | 460 |
Romania | 22760 | 1451 | 16117 |
Russia | 553301 | 7478 | 304342 |
Rwanda | 636 | 2 | 338 |
Saba | 2 | _ | 2 |
Saint Kitts and Nevis | 15 | _ | 15 |
Saint Lucia | 19 | _ | 18 |
Saint Martin | 42 | 3 | 36 |
Saint Pierre Miquelon | 1 | _ | 1 |
San Marino | 696 | 42 | 591 |
Sao Tome and Principe | 671 | 12 | 182 |
Saudi Arabia | 141234 | 1091 | 91662 |
Senegal | 5369 | 73 | 3606 |
Serbia | 12522 | 257 | 11511 |
Seychelles | 11 | _ | 11 |
Ship: A Sara | 45 | _ | _ |
Ship: Adventure of the Seas | 19 | _ | _ |
Ship: Black Watch | 8 | _ | _ |
Ship: Braemar | 5 | _ | _ |
Ship: Carnival Freedom | 1 | _ | _ |
Ship: Carnival Valor | 1 | _ | _ |
Ship: Celebrity Apex | 224 | _ | _ |
Ship: Celebrity Eclipse | 10 | 2 | _ |
Ship: Celebrity Flora | 48 | _ | _ |
Ship: Celebrity Infinity | 2 | _ | _ |
Ship: Celebrity Solstice | 20 | 1 | _ |
Ship: Coral Princess | 12 | 3 | _ |
Ship: Costa Atlantica | 148 | _ | _ |
Ship: Costa Fascinosa | 43 | 3 | _ |
Ship: Costa Favolosa | 13 | 1 | _ |
Ship: Costa Luminosa | 36 | 3 | _ |
Ship: Costa Magica | 2 | _ | _ |
Ship: Costa Victoria | 1 | _ | _ |
Ship: Diamond Princess | 712 | 14 | 645 |
Ship: Disney Wonder | 200 | _ | _ |
Ship: Grand Princess | 122 | 7 | _ |
Ship: Greg Mortimer | 128 | _ | _ |
Ship: Liberty of the Seas | 2 | _ | _ |
Ship: Majesty of the Seas | 1 | _ | _ |
Ship: Marella Explorer | 2 | 1 | _ |
Ship: Mein Schiff | 9 | _ | _ |
Ship: Monarch | 1 | 1 | _ |
Ship: MS Zaandam | 11 | 4 | 7 |
Ship: MSC Armonia | 1 | _ | _ |
Ship: MSC Bellissima | 6 | _ | _ |
Ship: MSC Preziosa | 2 | _ | _ |
Ship: MSC Seaview | 86 | _ | _ |
Ship: MSC Splendida | 1 | _ | _ |
Ship: MV Artania | 89 | 4 | _ |
Ship: MV Horizon | 125 | _ | _ |
Ship: Norwegian Bliss | 1 | _ | _ |
Ship: Norwegian Breakaway | 3 | 1 | _ |
Ship: Oasis of the Seas | 14 | 3 | _ |
Ship: Ovation of the Seas | 79 | 1 | _ |
Ship: Pride of America | 7 | _ | _ |
Ship: Riviera | 1 | _ | _ |
Ship: Ruby Princess | 852 | 22 | _ |
Ship: Seven Seas Navigator | 2 | _ | _ |
Ship: Silver Shadow | 2 | 1 | _ |
Ship: Sun Princess | 1 | _ | _ |
Ship: Symphony of the Seas | 31 | 1 | _ |
Ship: Voyager of the Seas | 39 | 2 | _ |
Ship: Westerdam | 1 | _ | _ |
Ship: World Dream | 12 | _ | _ |
Sierra Leone | 1225 | 51 | 686 |
Singapore | 41216 | 26 | 31163 |
Sint Eustatius | 2 | _ | 2 |
Sint Maarten | 77 | 15 | 62 |
Slovakia | 1561 | 28 | 1437 |
Slovenia | 1503 | 109 | 1359 |
Somalia | 2658 | 88 | 649 |
Somaliland | 332 | 23 | 33 |
South Africa | 76334 | 1625 | 42063 |
South Korea | 12198 | 279 | 10774 |
South Ossetia | 36 | _ | 22 |
South Sudan | 1776 | 30 | 58 |
Spain | 291408 | 27136 | _ |
Sri Lanka | 1924 | 11 | 1397 |
St Barth | 6 | _ | 6 |
St Vincent Grenadines | 29 | _ | 25 |
Sudan | 7740 | 477 | 2820 |
Suriname | 236 | 6 | 48 |
Sweden | 54562 | 5041 | _ |
Switzerland | 31183 | 1956 | 28900 |
Syria | 177 | 7 | 78 |
Taiwan | 445 | 7 | 434 |
Tajikistan | 5221 | 51 | 3700 |
Tanzania | 509 | 21 | 183 |
Thailand | 3135 | 58 | 2996 |
Timor-Leste | 24 | _ | 24 |
Togo | 537 | 13 | 344 |
Trinidad and Tobago | 123 | 8 | 109 |
Tunisia | 1128 | 50 | 1004 |
Turkey | 181298 | 4842 | 153379 |
Turks and Caicos | 12 | 1 | 11 |
Uganda | 732 | _ | 420 |
Ukraine | 33234 | 943 | 14943 |
United Arab Emirates | 42982 | 293 | 28861 |
United Kingdom | 299600 | 42054 | 1293 |
Uruguay | 849 | 24 | 801 |
US Virgin Islands | 71 | 6 | 64 |
Uzbekistan | 5638 | 19 | 4131 |
Vatican City | 12 | _ | 12 |
Venezuela | 3150 | 27 | 835 |
Vietnam | 335 | _ | 325 |
Western Sahara | 9 | 1 | 8 |
Yemen | 885 | 214 | 91 |
Zambia | 1405 | 11 | 1142 |
Zimbabwe | 391 | 4 | 62 |
United States | 2213019 | 125337 | 903137 |
Search for coronavirus updates on 232 countries / territories or 68 ships
>Regional Breakdowns of cases. (PDF)
View list of sources for all data.
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Data reflects only cases which presented at a medical facility and were tested or clinically diagnosed by other means including radiology. Included are persons aboard The Diamond Princess cruise ship in the early part of the year docked at Daikoku Pier in the Japanese port of Yokohama, attributed to "Diamond Princess". Those cases are treated in Japan medical facilities until they are cautiously relocated to their home nations.
232 Known territories had an historical 8,364,842 COVID-19 cases of which 4,152,005 have been sent home from hospital with a clean bill of health and sadly there were 447,717 deaths among all territories, of which 125337 were in America.
FPMag has learned of 438 cases and many deaths in the DPRK (North Korea). This information is not officially stated by Pyongyang however it has been suggested that the same number of persons have come under "observation".
"The world should be ready to assist," say anxious RINJ Foundation Members living close to the DPRK border with China and communicating with persons who relay the information to RINJ workers in Shenzhen.
"She told Lin that the spread comes from former students in China who came home; and at least one official who ignored quarantine rules and was assassinated in public," the worker said on Tencent QQ. "She also says that many people still go back and forth from either side of the border because they trade in the black market," added the worker. The DPRK border with China has been closed officially since 30 January 2020.
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The calculaton of the percentage of deaths has only comparative value.
We use an algorithm that is applied on the fly by a computer program and the algorithm is based on data from China and South Korea. The very specific mass testings in China and South Korea yield extraordinary data. So also do surveys conducted by nurses in the provinces of the Philippines.
The effort was made to determine why so many unreported deaths among the elderly were noted as unknown or pneumonia, far above normal daily death levels.
We suspected cytokines storm or some form of sudden inflammatory overreaction in the lungs to the SARS-CoV-2 which tampers with human cell DNA. Patients trying to recover at home have been suddenly hit by rapid onset of fluid in the lungs, and sudden death.
Cytokines storm is suspected.
See: COVID19 is not elderly death sentence. Exercise. Can Clonidine limit COVID-19 cytokines storm?
In our report every single day there is a section from China (below) which indicates how many people were tested and found to be asymptomatic but kept under health watch. This is achieved by doing massive testing of all contacts of persons initially testing positive. China has done an extraordinary job of testing and tracing contacts. On any given day the Chinese seem to have close to a million persons under medical watch.
The test treat and trace program in Asia yields a lot of data and exposes to researchers a large number of persons who are asymptomatic yet infected. This has a large impact on the spread of disease but also may indicate what if anything can be expected from natural immunity.
The existing algorithm is adjusted by some new information from Africa in such a way that countries with poor healthcare systems which have a higher number of non reported cases are applied differently.
Of marginal significance there are several models done by universities around the world which indicated that the pandemic will yield about 600 million cases including the asymptomatic and mild cases
We have continually compared our output from this algorithm to those models and the accuracy has been confirmed. This also confirms the suspicion that the death rate is nowhere near as high as the raw reported numbers indicate.
After continually running the algorithm since the early outbreak we recently decided to publish the data and it seems safe to say the estimated total number of cases around the world is 161,977,071.
4 Municipalities: Beijing, Chongqing, Shanghai, and Tianjin.
23 Provinces: Anhui, Fujian, Gansu,Guangdong, Guizhou, Hainan, Hebei, Heilongjiang, Henan, Hubei, Hunan, Jiangsu, Jiangxi, Jilin, Liaoning, Qinghai, Shaanxi, Shandong, Shanxi, Sichuan, Yunnan, Zhejiang, and Taiwan.
5 Autonomous Regions: Guangxi, Inner Mongolia, Ningxia, Tibet, and Xinjiang.
3 Special Administrative Regions: Hong Kong, Macao and Taiwan
"The Chinese are focussed on identifying only severe cases," says Professor Neil Fergusson of the Imperial College of London. The government of China confirms that there are hundreds of thousands of other possible mild cases.
* Over 3,000 Medical workers in China have become COVID-19 patients. 7 have died.
On June 15th, 31 provinces (autonomous regions, municipalities directly under the central government) and Xinjiang Production and Construction Corps reported 40 new confirmed cases, of which 8 were imported from abroad (3 in Shanghai, 3 in Guangdong, 1 in Inner Mongolia, 1 in Liaoning), 32 in mainland China (27 in Beijing, 4 in Hebei, 1 in Sichuan);
On the same day, 7 new cases of cured discharge, 225 close contacts released from medical observation, and 3 cases of severe illness increased.
Imported 93 confirmed cases (no severe cases) and 2 suspected cases. The cumulative number of confirmed cases was 1845, the cumulative cure of discharge cases 1752 cases, no deaths.
As of 24:00 hours on June 15, according to 31 provinces (autonomous regions, municipalities directly under the Central Government) and Xinjiang Production and Construction Corps reported 210 confirmed cases (of which 5 cases of severe illness), a cumulative cured case of 78,377 cases, a cumulative number of deaths 4634 cases, a cumulative total of 83221 confirmed cases, 4 suspected cases. A total of 753,836 close contacts were traced and 4340 close contacts were still under medical observation.
Thirty-one provinces (autonomous regions, municipalities directly under the central government) and Xinjiang Production and Construction Corps reported 6 new cases of asymptomatic infection (2 cases imported abroad); no confirmed cases were transferred on the same day; 8 cases of medical observation were lifted on the same day (1 case was imported from overseas); and 110 cases of asymptomatic infection were still under medical observation (63 cases imported abroad).
A total of 1602 confirmed cases in Hong Kong, Macao and Taiwan. Of these, 1112 cases were discharged from the Hong Kong Special Administrative Region (1067 discharges and 4 deaths), 45 cases were in the Macao Special Administrative Region (45 cases discharged from hospitals), and 445 cases were discharged from hospitals and 7 deaths were reported in Taiwan.
View list of sources for all data.
The Grand Princess cases will have been added to the totals by each country, primarily the United States. The ship, which was on a two-week voyage to Hawaii, was ordered to return early to San Francisco, California. Governor Gavin Newsom said on 4 March 2020, adding that passengers and crew have developed symptoms.
A spokesman for the Centers for Disease Control and Prevention (CDC) said that 3 passengers who were previously on the ship have since tested positive, including one who has died. Out of 46 tests done on 6 March, 21 persons are positive, mostly crew members. SARS-CoV-2 virus test sets were flown by a USA National Guard helicopter to the ship off the California Coast. (Watch the video.)
On 2 February 2020, 3,711 passengers and crew were quarantined by the Japanese Ministry of Health, Labour and Welfare after a passenger on the ship tested positive for coronavirus disease 2019 (COVID-19). This was the largest coronavirus outbreak on a cruise ship. As of 27 February 2020, 705 passengers tested positive for COVID-19. The vessel has become a political controversy and arguably a lesson in what not to do in controling the spread of novel coronavirus
FPMag has learned that on 1 March all crew members from Diamond Princess have now disembarked, according to Japan's health minister. The crew began leaving the Diamond Princess on Thursday for quarantine ashore after the last of the passengers had departed. "Including the captain, all crew members disembarked," health minister Katsunobu Kato told reporters late Sunday 1 March 2020.
Some 130 persons including the captain and 98 Japan health ministry officials who were working aboard Diamond Princess tested negative for the virus as they left the vessel, the Minister said at a news briefing late Sunday. They will spend 14 days at government-designated dormitories before being allowed to leave Japan, while the vessel will be disinfected before sailing again. The ill passengers of many countries are in health care facilities or similar quarantine.
5269 deaths in Quebec 2595 deaths in Ontario 151 deaths in Alberta 168 deaths in British Columbia 62 deaths in Nova Scotia 13 deaths in Saskatchewan 7 deaths in Manitoba 3 deaths in Newfoundland and Labrador 2 death New Brunswick 1 death aboard Diamond Princess
GMT: 17-06-2020 Time: 16:55
These USA numbers include three states where the government has fudged the numbers significantly and hence the computer scientists have requested and received regional health unit reports direct from medical health care workers.
The difference between actual numbers and those offered by political entities ranges from two to three percent of the American total number of deaths. That is a comparison of data known and proven to have an error factor in the output of the US-Government funded and Trump-Administration-biased Johns Hopkins University data. That doesn't say the errors of JHU reports are deliberate but that the American government data is accepted without question where questions should be asked.
That is also not to suggest only America fudges the numbers. Iran, China, Russia, Britain, and some African nations and Island nations have been questioned by researchers and it is clear that some mistakes were made but always corrected when something was questioned. It is also clear that death rates against total reported cases are barely useful.
According to experts, the inaccuracies of American death rate data range across all US States. This conclusion is based on total daily deaths when the period January 1 to April 30 is compared to the same period of non-public data in 2018 and 2019. The three worst States where data seems to be intended to deceive have been collected from alternative medical and mortuary/pathology/coroner sources.
"Johns Hopkins University data about the United States COVID-19 pandemic management is not accurate nor has it ever been anything but understated," notes computer scientist Fred Harris who leads the multi-disciplined team compiling five times daily data for /COVID-19/ updates.
According to Harris and others, they first suspected issues when Washington State in January appeared to have a conflict between what the State was discussing internally and what the US Federal government was releasing. The discrepancies grew from there. Also there was a significant American testing regime failure from the outset of the outbreak and researchers began then to seek alternative data. "If the CDC had not failed its earlier testing project, we might not have triggered an alternative set of methods for data collection," is how Harris describes the path taken.
Figures include cases identified on the Grand Princess. Not all states or overseas territories report recovery data. Cases and deaths figures include clinically diagnosed cases without laboratory tests.
Alabama - 774 Alaska - 12 Arizona - 1,194 Arkansas - 182 California - 5,119 Colorado - 1,605 Connecticut - 4,204 Delaware - 423 District Of Columbia - 515 Federal Prisons - 86 Florida - 3,752 Georgia - 2,494 Grand Princess Ship - 3 Hawaii - 17 Idaho - 88 Illinois - 6,326 Indiana - 2,433 Iowa - 658 Kansas - 247 Kentucky - 505 Louisiana - 3,023 Maine - 101 Maryland - 2,947 Massachusetts - 7,647 Michigan - 6,017 Minnesota - 1,335 Mississippi - 895 Missouri - 895 Montana - 19 Navajo Nation - 311 Nebraska - 220 Nevada - 465 New Hampshire - 320 New Jersey - 12,782 New Mexico - 440 New York - 36,390 North Carolina - 1,140 North Dakota - 74 Northern Mariana Islands - 2 Ohio - 2,578 Oklahoma - 359 Oregon - 180 Pennsylvania - 6,322 Rhode Island - 851 South Carolina - 602 South Dakota - 75 Tennessee - 483 Texas - 2,016 United States Virgin Islands - 6 US Military - 36 Utah - 143 Vermont - 55 Veteran Affairs - 1,438 Virginia - 1,552 Washington - 1,224 West Virginia - 88 Wisconsin - 694 Wyoming - 18
By 12 May 2020 the United States testing is claimed to be improved. The US President says "it is the best in the world" however doctors report about a 35% failure rate. Also the President is not referring to contact tracing but instead refers to raw testing. For example. officials are tested every day over and over again. Those numbers are tallied. It is estimated that between 15% and 25% of those tests produced by Abbott are false negatives. America is only testing and is not treating patients unless they show life-threatening symptoms. That doctrine seems to be killing children, many of whom are suffering minor symptoms and later entering a Kawasaki-like Disease Syndrome which is a pulmonary thrombosis or cytokine storm that causes blood vessel inflammation as the auto immune system over reacts to the virus changing cell DNA with its RNA for reproduction. Doctors FPMag spoke to who have been investigating cytokine storms say this is one of the symptoms. Death of the children is likely in the event.
The United States has been enduring some leadership problems nonetheless of which include the US President suggesting that Americans ingest disinfectants and expose their bodies to massive ultraviolet light devices.
12 March 2020 New York City: FPMag has learned from an American source that US President Donald Trump in the months of January, February and March 2020 was aware that the SARS-CoV-2 virus would hit the USA very hard. Because of Trump's belief that high infectious-disease case-numbers would harm his bid for reelection, he quashed all efforts to increase USA real-time reverse transcription polymerise chain reaction RT-PCR tests for COVID-19.
Trump also rejected a WHO shipment of test sets. Experts believe that as a consequence there may be hundreds of thousands of untested infections and that many Americans will die as a result of this failure to follow the internationally-proven formula of "Mass Testing and Isolation of Positives or Test-Treat-Trace".
Donald Trump told a press briefing earlier in March, about the floating incubation death- trap chamber for stranded 'Grand Princess' passengers, "I'd rather have the people stay [aboard]". He knows this tactic killed passengers of the 'Diamond Princess'.
*The US State department flew non-infected passengers from the Diamond Princess often commingled with fourteen COVID-19 patients who were behind a plastic sheet divider in a recycled-air cabin of a cargo B-747 once airborne.
The outcome has been at least 43 COVID-19 confirmed infected passengers, FPMag has learned from reliable sources inside the CDC and within other US medical institutions. All records of the initial 14 COVID-19-Positive Patients co-mingled and infecting 43 healthy passengers have vanished. FPMag continues to report those cases having been told by witnesses who advocated the CDC position present at the material time that a crime of at least reckless endangerment was being committed by the US State Department Officials and would wait until the pandemic ended.
CDC as of 4 March said that, "States are now testing and publicly reporting their cases. In the event of a discrepancy, state case counts are the most up to date."
The CDC has warned that its information "does not include people who returned to the U.S. via State Department-chartered flights."
FPMag will use independent sources from the US State Health Departments and from NGOs, from private and public hospitals, morgues, mortuaries and other sources. Readers are invited to provide input
Read: Centers for Disease Control sidelined by Trump Administration. Americans...
Also USA political breach of infection control has bad outcome for ordinary Americans
View list of sources for all data.
Read if you wish this backgrounder: Iran to rejoin JCPOA? Putin and Merkel working now.
Please read: "The world has a responsibility to help Iranians"
An Iranian dies every ten minutes and 50 new infections occur every 60 minutes according to an official information release from the Iran Health Department, 18 March, 2010.
On 16 March the researchers who prepare this data estimated the actual COVID-19 case counts and fatalities in Iran. Researchers are fairly certain of their estimates. 61,938 severe COVID-19 cases in Iran and over 2524 deaths is what researchers estimate for Iran's COVID-19 outbreak up to 16 March 2020. The publisher continues to share the official accounting from Tehran with gratitude for the diligence of the workers preparing the reports. Be well, friends.
State radio announced that Mohammad Mirmohammadi, 71, a member of Iran's Expediency Council, has died after contracting the coronavirus. Other prominent members infected in the country include Vice President Masoumeh Ebtekar and Iraj Harirchi, head of the country's task force on COVID-19.
The Nurses Without Borders have been asking nurses and RINJ Foundation volunteers in Iran to check statistics from morgues, mortuaries, faith-based community groups, hospitals and clinics. The numbers in the statistical chart are consistent with the algorithm ratios around the world and particularly with weaker health care systems.
According to a senior nurse practitioner with The RINJ Foundation, Michele Francis, "Iran is going to need the help of the global community because political sanctions have restricted the advancement of its health care system and the inventory of pharmaceuticals and medical supplies."
The highly reliable Channel News Network (CNA) out of Singapore reports journalists taking statements off the street wherein one witness, a pharmacy employee who has been selling huge numbers of masks daily until stocks ran out said, "The mullahs are saying Muslims are immune because of their faith," he said. "How will they quarantine a huge city like Tehran when they cannot even quarantine a hospital?" he queried after commenting that hospitals were overrun and that officials themselves were infected.
Patients in Iran have not generally been tested during January and early February for COVID-19 because directives then said testing is contraindicated if the patient has not visited China or been in contact with a person who has been in China.
Several high profile medical administrative authorities are reportedly infected with the COVID-19 and that includes the deputy minister of health.
Also Mojtaba Zonnour, head of Iranian parliament's National Security and Foreign Relations Commission says he is infected with COVID-19.
Dr. Mohamad Reza Ghadir, the head of a medical university in Qom and the top official in charge of managing the outbreak there, was among those placed in quarantine, reports the NewYorkTimes
Dr. Ghadir said on Iran's state television network that the health ministry had ordered city officials not to publish any statistics related to the outbreak in Qom. The situation there was very dire and disease has spread across the city of 1.2 million, he said.
Nurses and doctors claim that sustained transmission from person to person with no connection to China has caused outbreaks in several parts of Iran.
Also, the number of Iranians seeking entry to other Middle East nations have a quantum of positive tests and hence visa-denials greater than what the Iranian government claims is the total confirmed number of cases in Iran. The statistics FPMag and partners provide herein are reports based on cause of death reports and witness observations from many hospitals in Iran.
In Qom, the seventh largest city in Iran, in mid-February, Member of Parliament, Ahmad Amiriabadi Farahani confirmed that at that time at least 50 deaths had occurred in his riding alone. Using the data supplied by nurses and by the Member for Qom, both of which FPMag has confirmed via other sources to be credible, FPMag has decided not to use the Iranian official numbers but to publish what the publication and its partners have been told by reliable sources. "Hopefully the Iranian Ministry of Health will catch up with nation wide reports soon," has been a general, restrained critique. The Iranian health department has said that it will now begin a transparency effort. It seems to be reporting what it knows.
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Feminine Perspective Magazine is published by The RINJ Foundation, a Canadian Incorporated Civil Society (CSO) Non-Government Organization (NGO) in Special Consultative Status with the Economic and Social Council of the UN since 2017.
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