Ending day prediction of nCoV2019
31/08/2020
options(width = 100)
source('./predict.R')
## [1] "2020-08-30"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 6140096 3409003 186874 0.70 3.04 565
## 2 Brazil 3846965 3006812 120498 0.90 3.13 567
## 3 India 3546794 2715127 63690 2.00 1.80 46
## 4 Russia 990326 806982 17093 0.51 1.73 117
## 5 Peru 639435 446675 28607 1.50 4.47 868
## 6 South Africa 622551 536694 13981 0.39 2.25 236
## 7 Colombia 599914 440574 19064 1.59 3.18 375
## 8 Mexico 591712 409127 63819 1.02 10.79 495
## 9 Spain 455621 196958 29011 0.00 6.37 620
## 10 Chile 408009 381183 11181 0.50 2.74 585
## 11 Argentina 401239 287220 8353 2.35 2.08 185
## 12 Iran 373570 321421 21462 0.47 5.75 256
## 13 United Kingdom 332752 1918 41498 0.33 12.47 611
## 14 Saudi Arabia 314821 289667 3870 0.29 1.23 111
## 15 Bangladesh 310822 201907 4248 0.61 1.37 26
## 16 Pakistan 295636 280547 6288 0.09 2.13 28
## 17 France 272530 86177 30602 2.04 11.23 469
## 18 Turkey 267064 242812 6284 0.58 2.35 75
## 19 Italy 266853 208224 35473 0.54 13.29 587
## 20 Germany 242952 216195 9463 0.23 3.90 113
## 21 Iraq 227446 169020 6891 1.71 3.03 171
## 22 Philippines 217396 157403 3520 2.00 1.62 32
## 23 Indonesia 172053 124185 7343 1.69 4.27 27
## 24 Canada 127673 113501 9113 0.25 7.14 241
## 25 Ukraine 119074 56734 2527 1.79 2.12 58
## 26 Qatar 118575 115430 197 0.14 0.17 68
## 27 Bolivia 115354 56749 4938 0.83 4.28 423
## 28 Israel 113648 92588 909 1.47 0.80 105
## 29 Ecuador 112906 95429 6537 0.68 5.79 371
## 30 Kazakhstan 105684 96135 1523 0.12 1.44 81
## 31 Egypt 98497 71302 5376 0.22 5.46 53
## 32 Dominican Republic 93732 66320 1673 0.37 1.78 154
## 33 Panama 91337 65119 1983 0.79 2.17 460
## 34 China 90370 84985 4729 0.03 5.23 3
## 35 Romania 86785 37665 3578 1.11 4.12 186
## 36 Oman 85544 80459 677 0.63 0.79 133
## 37 Kuwait 84636 76650 530 0.49 0.63 124
## 38 Belgium 84599 18403 9891 0.77 11.69 853
## 39 Sweden 83958 4971 5821 0.00 6.93 576
## 40 Guatemala 73679 61163 2728 1.04 3.70 152
## 41 Belarus 71523 70207 671 0.00 0.94 71
## 42 Netherlands 70140 322 6224 0.73 8.87 363
## 43 United Arab Emirates 69690 60600 382 0.52 0.55 39
## 44 Japan 68880 56164 1286 2.07 1.87 10
## 45 Poland 66870 46192 2033 0.95 3.04 54
## 46 Morocco 60056 44618 1078 2.68 1.79 29
## 47 Honduras 59645 10156 1842 1.42 3.09 186
## 48 Portugal 57448 41766 1818 0.66 3.16 178
## 49 Singapore 56771 55447 27 0.10 0.05 5
## 50 Nigeria 53727 41314 1011 0.47 1.88 5
## 51 Bahrain 51391 48275 189 0.54 0.37 111
## 52 Ethiopia 49654 18116 770 3.14 1.55 7
## 53 Venezuela 44946 36175 375 2.43 0.83 13
## 54 Ghana 44205 42777 276 0.20 0.62 9
## 55 Kyrgyzstan 43820 38198 1058 0.25 2.41 162
## 56 Algeria 43781 30717 1491 0.87 3.41 34
## 57 Armenia 43750 37650 877 0.28 2.00 296
## 58 Switzerland 42014 35200 2005 0.70 4.77 232
## 59 Uzbekistan 41424 38655 313 1.15 0.76 9
## 60 Costa Rica 39699 15737 418 3.15 1.05 82
## 61 Nepal 38561 20822 221 3.27 0.57 8
## 62 Afghanistan 38162 29089 1402 0.05 3.67 36
## 63 Moldova 36404 25139 990 1.39 2.72 245
## 64 Azerbaijan 36174 33576 529 0.00 1.46 52
## 65 Kenya 33794 19590 572 0.49 1.69 11
## 66 Puerto Rico 32848 2267 434 2.69 1.32 152
## 67 Serbia 31282 29825 710 0.00 2.27 81
## 68 Ireland 28720 23364 1777 0.50 6.19 360
## 69 Austria 27166 23070 733 0.67 2.70 81
## 70 Australia 25670 21116 611 0.48 2.38 24
## 71 El Salvador 25635 14013 713 0.38 2.78 110
## 72 Czech Republic 24094 17541 421 1.33 1.75 39
## 73 Palestinian Territory 22204 14787 149 2.47 0.67 NA
## 74 Bosnia and Herzegovina 19793 12961 598 1.24 3.02 182
## 75 South Korea 19699 14903 323 1.54 1.64 6
## 76 Cameroon 19142 17651 411 0.00 2.15 15
## 77 Côte d'Ivoire 17893 16440 115 0.54 0.64 4
## 78 Denmark 17316 15492 624 1.12 3.60 108
## 79 Paraguay 16474 8854 294 3.79 1.78 41
## 80 Lebanon 16275 4484 155 4.24 0.95 23
## 81 Bulgaria 16164 11253 605 0.62 3.74 87
## 82 Madagascar 14843 13802 191 0.35 1.29 7
## 83 Republika Severna Makedonija 14330 11062 600 0.26 4.19 NA
## 84 Senegal 13556 9388 284 0.74 2.10 17
## 85 Libya 13423 1410 232 3.59 1.73 34
## 86 Sudan 13189 6612 823 0.00 6.24 19
## 87 Zambia 12025 11454 287 2.09 2.39 16
## 88 Norway 10611 9348 264 0.27 2.49 49
## 89 Croatia 10123 7212 184 2.66 1.82 45
## 90 Democratic Republic of the Congo 10045 9103 258 0.38 2.57 NA
## [1] "Pakistan leading 1 cum_confirm == 0 trimed"
## [1] "Provinces added more than 0 cases in last 1-day:"
## time country province cum_confirm cum_heal cum_dead added
## 1 2020-08-30 China Hong Kong 4801 4320 88 15
## 2 2020-08-30 China Tianjin 225 213 3 4
## 3 2020-08-30 China Shanghai 897 835 7 3
## 4 2020-08-30 China Fujian 380 366 1 2
## 5 2020-08-30 China Sichuan 652 622 3 2
## 6 2020-08-30 China Guangdong 1738 1718 8 1