Ending day prediction of nCoV2019
17/08/2020
source('./predict.R')
## [1] "2020-08-16"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 5533161 2904245 172630 1.01 3.12 522
## 2 Brazil 3317832 2404272 107297 1.19 3.23 505
## 3 India 2618877 1891084 50464 3.47 1.93 37
## 4 Russia 922853 732968 15685 0.54 1.70 107
## 5 South Africa 583653 466941 11677 0.78 2.00 197
## 6 Peru 525803 359781 26075 1.84 4.96 791
## 7 Mexico 517714 351372 56543 1.24 10.92 439
## 8 Colombia 456689 274420 14810 2.60 3.24 291
## 9 Chile 383902 356951 10395 0.47 2.71 544
## 10 Spain 358843 196958 28617 0.00 7.97 612
## 11 Iran 343203 297486 19639 0.63 5.72 234
## 12 United Kingdom 317379 1918 41361 0.32 13.03 609
## 13 Saudi Arabia 298542 266953 3408 0.89 1.14 98
## 14 Argentina 289100 205697 5637 2.36 1.95 125
## 15 Pakistan 288717 266301 6168 0.23 2.14 28
## 16 Bangladesh 276549 158950 3657 0.74 1.32 22
## 17 Italy 253438 203640 35392 0.25 13.96 585
## 18 Turkey 248117 229972 5955 0.51 2.40 71
## 19 Germany 225011 204749 9391 0.41 4.17 112
## 20 France 215521 83848 30409 1.56 14.11 466
## 21 Iraq 176931 125374 5860 5.13 3.31 146
## 22 Philippines 157918 72209 2600 0.00 1.65 24
## 23 Indonesia 139549 93103 6150 1.51 4.41 22
## 24 Canada 121889 108218 9024 0.19 7.40 239
## 25 Qatar 115080 111794 193 0.24 0.17 67
## 26 Kazakhstan 102696 81558 1269 0.40 1.24 68
## 27 Ecuador 100688 79354 6065 1.29 6.02 344
## 28 Bolivia 99146 35638 4003 1.22 4.04 343
## 29 Egypt 96336 58835 5141 0.12 5.34 50
## 30 Israel 92404 68400 679 1.45 0.73 78
## 31 Ukraine 91356 47822 2070 1.82 2.27 47
## 32 China 89837 83646 4710 0.10 5.24 3
## 33 Dominican Republic 85545 51356 1438 1.25 1.68 133
## 34 Sweden 84294 4971 5783 0.00 6.86 573
## 35 Oman 83036 77550 562 0.14 0.68 110
## 36 Panama 80665 53857 1746 1.59 2.16 405
## 37 Belgium 77869 17981 9935 0.98 12.76 857
## 38 Kuwait 76205 68135 501 1.36 0.66 117
## 39 Romania 70461 32587 2991 1.57 4.24 155
## 40 Belarus 69424 66747 607 0.17 0.87 64
## 41 United Arab Emirates 64312 57694 364 0.33 0.57 37
## 42 Netherlands 63002 322 6172 1.88 9.80 360
## 43 Guatemala 62313 50183 2355 1.44 3.78 131
## 44 Poland 56684 39130 1877 1.06 3.31 50
## 45 Japan 56014 38945 1093 1.49 1.95 9
## 46 Singapore 55747 51521 27 0.15 0.05 5
## 47 Portugal 54102 39697 1778 0.59 3.29 174
## 48 Honduras 49979 7255 1567 1.04 3.14 158
## 49 Nigeria 48770 36290 974 0.67 2.00 5
## 50 Bahrain 46430 42806 170 0.82 0.37 100
## 51 Ghana 42210 40147 231 0.00 0.55 7
## 52 Kyrgyzstan 41856 34276 1495 0.51 3.57 229
## 53 Armenia 41663 34584 818 0.40 1.96 276
## 54 Morocco 41017 28566 632 4.53 1.54 17
## 55 Algeria 38133 26644 1360 1.25 3.57 31
## 56 Switzerland 38124 33200 1991 0.53 5.22 230
## 57 Afghanistan 37596 27166 1375 0.12 3.66 35
## 58 Uzbekistan 35109 30664 230 3.21 0.66 7
## 59 Azerbaijan 34219 31875 506 0.59 1.48 50
## 60 Venezuela 32607 21747 276 3.91 0.85 10
## 61 Moldova 29905 20908 895 1.43 2.99 222
## 62 Kenya 29849 15970 472 1.76 1.58 9
## 63 Serbia 29682 27061 674 1.54 2.27 77
## 64 Ethiopia 28894 12037 509 6.06 1.76 4
## 65 Costa Rica 27737 9010 291 2.99 1.05 57
## 66 Ireland 27191 23364 1774 0.73 6.52 359
## 67 Nepal 26660 17335 104 2.46 0.39 4
## 68 Puerto Rico 25695 2267 329 0.00 1.28 115
## 69 Austria 23370 20681 728 0.82 3.12 81
## 70 Australia 23287 13634 396 1.09 1.70 16
## 71 El Salvador 22912 10807 612 1.30 2.67 94
## 72 Czech Republic 19891 13763 395 1.01 1.99 37
## 73 Cameroon 18469 16540 401 0.00 2.17 15
## 74 Côte d'Ivoire 16993 13759 108 0.34 0.64 4
## 75 Palestinian Territory 16534 9838 110 2.36 0.67 NA
## 76 Denmark 15867 13514 621 0.71 3.91 107
## 77 Bosnia and Herzegovina 15801 9619 471 1.71 2.98 144
## 78 South Korea 15318 13910 305 1.86 1.99 6
## 79 Bulgaria 14333 9161 495 0.63 3.45 71
## 80 Madagascar 13827 12424 170 0.75 1.23 6
## 81 Republika Severna Makedonija 12739 9174 544 1.79 4.27 NA
## 82 Sudan 12314 6350 798 0.84 6.48 18
## 83 Senegal 12032 7637 251 0.00 2.09 15
## [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 2020-08-16 China Hong Kong 4480 3548 69 74
## 2 2020-08-16 China Shanghai 825 749 7 5
## 3 2020-08-16 China Xinjiang 902 521 3 4
## 4 2020-08-16 China Guangdong 1712 1684 8 3
## 5 2020-08-16 China Shaanxi 351 324 3 3
## 6 2020-08-16 China Taiwan 484 450 7 2
## 7 2020-08-16 China Fujian 369 365 1 1
## 8 2020-08-16 China Sichuan 624 606 3 1