Coronavirus
Global
| name | confirm | suspect | dead | deadRate |
|---|---|---|---|---|
| China | 78632 | 2358 | 2747 | 3.49 |
| Republic of Korea | 1766 | 0 | 13 | 0.74 |
| Diamond Princess | 705 | 0 | 4 | 0.57 |
| Italy | 650 | 0 | 17 | 2.62 |
| Iran | 270 | 0 | 26 | 9.63 |
| Japan | 207 | 0 | 1 | 0.48 |
| Singapore | 93 | 0 | 0 | 0.00 |
| United States USA | 60 | 0 | 0 | 0.00 |
| Germany | 45 | 0 | 0 | 0.00 |
| Kuwait | 43 | 0 | 0 | 0.00 |
| Thailand | 40 | 0 | 0 | 0.00 |
| Bahrain | 33 | 0 | 0 | 0.00 |
| Australia | 23 | 0 | 0 | 0.00 |
| Malaysia | 23 | 0 | 0 | 0.00 |
| United Arab Emirates | 19 | 0 | 0 | 0.00 |
| France | 18 | 0 | 2 | 11.11 |
| Vietnam | 16 | 0 | 0 | 0.00 |
| United Kingdom | 15 | 0 | 0 | 0.00 |
| Spain | 13 | 0 | 0 | 0.00 |
| Canada | 13 | 0 | 0 | 0.00 |
| Oman | 6 | 0 | 0 | 0.00 |
| NA | 6 | 0 | 0 | 0.00 |
| Switzerland | 6 | 0 | 0 | 0.00 |
| Israel | 6 | 0 | 0 | 0.00 |
| Russia | 5 | 0 | 0 | 0.00 |
| India | 3 | 0 | 0 | 0.00 |
| Philippines | 3 | 0 | 1 | 33.33 |
| Lebanon | 3 | 0 | 0 | 0.00 |
| Croatia | 3 | 0 | 0 | 0.00 |
| Austria | 3 | 0 | 0 | 0.00 |
| Greece | 3 | 0 | 0 | 0.00 |
| Finland | 2 | 0 | 0 | 0.00 |
| Sweden | 2 | 0 | 0 | 0.00 |
| Afghanistan | 1 | 0 | 0 | 0.00 |
| Brazil | 1 | 0 | 0 | 0.00 |
| Belgium | 1 | 0 | 0 | 0.00 |
| NA | 1 | 0 | 0 | 0.00 |
| Norway | 1 | 0 | 0 | 0.00 |
| Estonia | 1 | 0 | 0 | 0.00 |
| Nepal | 1 | 0 | 0 | 0.00 |
| NA | 1 | 0 | 0 | 0.00 |
| Cambodia | 1 | 0 | 0 | 0.00 |
| Denmark | 1 | 0 | 0 | 0.00 |
| Georgia | 1 | 0 | 0 | 0.00 |
| Sri Lanka | 1 | 0 | 0 | 0.00 |
| Romania | 1 | 0 | 0 | 0.00 |
China
| name | confirm | suspect | dead | deadRate |
|---|---|---|---|---|
| Hubei | 65596 | 0 | 2641 | 4.03 |
| Guangdong | 1347 | 0 | 7 | 0.52 |
| Henan | 1272 | 0 | 20 | 1.57 |
| Zhejiang | 1205 | 0 | 1 | 0.08 |
| Hunan | 1017 | 0 | 4 | 0.39 |
| Anhui | 989 | 0 | 6 | 0.61 |
| Jiangxi | 934 | 0 | 1 | 0.11 |
| Shandong | 756 | 0 | 6 | 0.79 |
| Jiangsu | 631 | 0 | 0 | 0.00 |
| Chongqing | 576 | 0 | 6 | 1.04 |
| Sichuan | 534 | 0 | 3 | 0.56 |
| Heilongjiang | 480 | 0 | 13 | 2.71 |
| Beijing | 410 | 0 | 5 | 1.22 |
| Shanghai | 337 | 0 | 3 | 0.89 |
| Hebei | 317 | 0 | 6 | 1.89 |
| Fujian | 296 | 0 | 1 | 0.34 |
| Guangxi | 252 | 0 | 2 | 0.79 |
| Shaanxi | 245 | 0 | 1 | 0.41 |
| Yunnan | 174 | 0 | 2 | 1.15 |
| Hainan | 168 | 0 | 5 | 2.98 |
| Guizhou | 146 | 0 | 2 | 1.37 |
| Tianjin | 136 | 0 | 3 | 2.21 |
| Shanxi | 133 | 0 | 0 | 0.00 |
| Liaoning | 121 | 0 | 1 | 0.83 |
| Jilin | 93 | 0 | 1 | 1.08 |
| Hong Kong | 92 | 0 | 2 | 2.17 |
| Gansu | 91 | 0 | 2 | 2.20 |
| Xinjiang | 76 | 0 | 2 | 2.63 |
| Inner Mongolia | 75 | 0 | 0 | 0.00 |
| Ningxia | 72 | 0 | 0 | 0.00 |
| Taiwan | 32 | 0 | 1 | 3.12 |
| Qinghai | 18 | 0 | 0 | 0.00 |
| Macau | 10 | 0 | 0 | 0.00 |
| Tibet | 1 | 0 | 0 | 0.00 |
Hubei
| name | confirm | suspect | dead | deadRate |
|---|---|---|---|---|
| Wuhan | 47824 | 0 | 2104 | 4.40 |
| Xiaogan | 3516 | 0 | 113 | 3.21 |
| Huanggang | 2904 | 0 | 110 | 3.79 |
| Jingzhou | 1579 | 0 | 45 | 2.85 |
| Ezhou | 1389 | 0 | 42 | 3.02 |
| Suizhou | 1307 | 0 | 37 | 2.83 |
| Xiangyang | 1175 | 0 | 31 | 2.64 |
| Huangshi | 1013 | 0 | 33 | 3.26 |
| Yichang | 929 | 0 | 30 | 3.23 |
| Jingmen | 923 | 0 | 37 | 4.01 |
| Xianning | 836 | 0 | 11 | 1.32 |
| Shiyan | 671 | 0 | 3 | 0.45 |
| Xiantao | 575 | 0 | 19 | 3.30 |
| Tianmen | 496 | 0 | 13 | 2.62 |
| Enshi | 251 | 0 | 4 | 1.59 |
| Qianjiang | 197 | 0 | 9 | 4.57 |
| Shennongjia | 11 | 0 | 0 | 0.00 |
| NA | 0 | 0 | 0 | 0.00 |
Número de casos na provincia de Hubei por cidade
Casos mais recentes
| name | confirm | confirmCuts | isUpdated |
|---|---|---|---|
| Hubei | 0 | 0 | FALSE |
| Guangdong | 0 | 0 | FALSE |
| Henan | 0 | 0 | FALSE |
| Zhejiang | 0 | 0 | FALSE |
| Hunan | 0 | 0 | FALSE |
| Anhui | 0 | 0 | FALSE |
| Jiangxi | 0 | 0 | FALSE |
| Shandong | 0 | 0 | FALSE |
| Jiangsu | 0 | 0 | FALSE |
| Chongqing | 0 | 0 | FALSE |
Casos mais recentes em Hubei
| name | confirm | confirmCuts | isUpdated |
|---|---|---|---|
| Wuhan | 0 | 0 | FALSE |
| Xiaogan | 0 | 0 | FALSE |
| Huanggang | 0 | 0 | FALSE |
| Jingzhou | 0 | 0 | FALSE |
| Ezhou | 0 | 0 | FALSE |
| Suizhou | 0 | 0 | FALSE |
| Xiangyang | 0 | 0 | FALSE |
| Huangshi | 0 | 0 | FALSE |
| Yichang | 0 | 0 | FALSE |
| Jingmen | 0 | 0 | FALSE |
| Xianning | 0 | 0 | FALSE |
| Shiyan | 0 | 0 | FALSE |
| Xiantao | 0 | 0 | FALSE |
| Tianmen | 0 | 0 | FALSE |
| Enshi | 0 | 0 | FALSE |
| Qianjiang | 0 | 0 | FALSE |
| Shennongjia | 0 | 0 | FALSE |
| NA | 0 | 0 | FALSE |
Casos de 2019-nCoV na China continental
| confirm | suspect | dead | heal | nowConfirm |
|---|---|---|---|---|
| 41 | 0 | 1 | 0 | 0 |
| 41 | 0 | 1 | 0 | 0 |
| 41 | 0 | 2 | 5 | 0 |
| 45 | 0 | 2 | 8 | 0 |
| 62 | 0 | 2 | 12 | 0 |
| 198 | 0 | 3 | 17 | 0 |
| 275 | 0 | 4 | 18 | 0 |
| 291 | 54 | 6 | 25 | 291 |
| 440 | 37 | 9 | 25 | 431 |
| 574 | 393 | 17 | 25 | 557 |
| 835 | 1072 | 25 | 34 | 776 |
| 1297 | 1965 | 41 | 38 | 1218 |
| 1985 | 2684 | 56 | 49 | 1880 |
| 2761 | 5794 | 80 | 51 | 2630 |
| 4535 | 6973 | 106 | 60 | 4369 |
| 5997 | 9239 | 132 | 103 | 5762 |
| 7736 | 12167 | 170 | 124 | 7442 |
| 9720 | 15238 | 213 | 171 | 9336 |
| 11821 | 17988 | 259 | 243 | 11319 |
| 14411 | 19544 | 304 | 328 | 13779 |
| 17238 | 21558 | 361 | 475 | 16402 |
| 20471 | 23214 | 425 | 632 | 19414 |
| 24363 | 23260 | 491 | 892 | 22980 |
| 28060 | 24702 | 564 | 1153 | 26343 |
| 31211 | 26359 | 637 | 1542 | 29032 |
| 34598 | 27657 | 723 | 2052 | 31823 |
| 37251 | 28942 | 812 | 2651 | 33788 |
| 40235 | 23589 | 909 | 3283 | 36043 |
| 42708 | 21675 | 1017 | 3998 | 37693 |
| 44730 | 16067 | 1114 | 4742 | 38874 |
| 59882 | 13435 | 1368 | 5915 | 52599 |
| 63932 | 10109 | 1381 | 6728 | 55823 |
| 66576 | 8969 | 1524 | 8101 | 56951 |
| 68584 | 8228 | 1666 | 9425 | 57493 |
| 70635 | 7264 | 1772 | 10853 | 58010 |
| 72528 | 6242 | 1870 | 12561 | 58097 |
| 74279 | 5248 | 2006 | 14387 | 57886 |
| 75002 | 4922 | 2121 | 16157 | 56386 |
| 75993 | 5206 | 2239 | 18266 | 55051 |
| 76392 | 5365 | 2348 | 20673 | 53371 |
| 77041 | 4148 | 2445 | 22907 | 51689 |
| 77262 | 3434 | 2595 | 24757 | 49910 |
| 77779 | 2824 | 2666 | 27353 | 47760 |
| 78190 | 2491 | 2718 | 29775 | 45697 |
| 78630 | 2358 | 2747 | 32531 | 43352 |
Casos mais recentes de 2019-nCoV na China continental
| confirm | suspect | dead | heal | deadRate | date | |
|---|---|---|---|---|---|---|
| 33 | 399 | 1361 | 109 | 2394 | 27.3 | 02.21 |
| 34 | 649 | 882 | 97 | 2235 | 14.9 | 02.22 |
| 35 | 416 | 620 | 150 | 1850 | 36.1 | 02.23 |
| 36 | 517 | 530 | 71 | 2596 | 13.7 | 02.24 |
| 37 | 411 | 439 | 52 | 2422 | 12.7 | 02.25 |
| 38 | 440 | 508 | 29 | 2756 | 6.6 | 02.26 |
Casos confirmados
Óbitos
| x | |
|---|---|
| beta | 0.5914484 |
| gamma | 0.4085518 |
| x | |
|---|---|
| R0 | 1.447671 |
Tamanho da pandemia
| I | |
|---|---|
| 88 | 75072105 |
Número máximo de mortes com suposta taxa de mortalidade de 2%
| x |
|---|
| 1951875 |