Ending day prediction of nCoV2019
11/08/2020
source('./predict.R')
## [1] "2020-08-10"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 5201057 2664955 165620 0.97 3.18 500
## 2 Brazil 3035582 2118460 101136 0.74 3.33 476
## 3 India 2226229 1544646 44597 2.71 2.00 32
## 4 Russia 892654 696681 15001 0.58 1.68 103
## 5 South Africa 559859 411474 10408 1.21 1.86 175
## 6 Chile 373056 345826 10077 0.55 2.70 527
## 7 Peru 478024 324020 21072 1.49 4.41 639
## 8 Mexico 480278 322465 52298 0.92 10.89 406
## 9 Iran 328844 286642 18616 0.65 5.66 222
## 10 Pakistan 284660 260764 6097 0.19 2.14 28
## 11 Saudi Arabia 289947 253478 3199 0.44 1.10 92
## 12 Turkey 240804 223759 5844 0.49 2.43 69
## 13 Colombia 387481 212688 12842 2.82 3.31 252
## 14 Italy 250566 202098 35205 0.19 14.05 582
## 15 Germany 218003 201640 9363 0.28 4.29 112
## 16 Spain 361442 196958 28503 0.00 7.89 610
## 17 Bangladesh 260507 150437 3438 1.13 1.32 21
## 18 Qatar 113262 109993 188 0.28 0.17 65
## 19 Iraq 153599 109790 5464 4.21 3.56 136
## 20 Argentina 246499 108242 4606 1.94 1.87 102
## 21 Canada 119451 103728 8981 0.19 7.52 238
## 22 France 197921 82836 30324 0.00 15.32 465
## 23 China 89341 82680 4696 0.13 5.26 3
## 24 Indonesia 127083 82236 5765 1.35 4.54 21
## 25 Ecuador 94459 78552 5922 0.95 6.27 336
## 26 Oman 81787 76124 521 0.25 0.64 102
## 27 Kazakhstan 99442 72523 1058 0.75 1.06 56
## 28 Philippines 136638 68159 2294 5.18 1.68 21
## 29 Belarus 68947 64991 589 0.14 0.85 62
## 30 Kuwait 72400 64028 482 0.96 0.67 113
## 31 Israel 83540 58934 606 1.24 0.73 70
## 32 United Arab Emirates 62525 56568 357 0.00 0.57 36
## 33 Egypt 95492 52678 5009 0.19 5.25 49
## 34 Singapore 55292 48915 27 0.34 0.05 5
## 35 Panama 74492 48748 1639 1.14 2.20 380
## 36 Guatemala 56605 44598 2211 0.74 3.91 123
## 37 Ukraine 81957 44359 1922 1.25 2.35 44
## 38 Dominican Republic 79732 43744 1309 1.21 1.64 121
## 39 Bahrain 44011 40967 162 0.88 0.37 95
## 40 Portugal 52668 38511 1756 0.25 3.33 172
## 41 Ghana 41003 38330 215 0.00 0.52 7
## 42 Poland 52410 36877 1809 1.20 3.45 48
## 43 Nigeria 46577 33186 945 0.95 2.03 5
## 44 Armenia 40433 32616 796 0.06 1.97 269
## 45 Japan 49746 32312 1053 1.90 2.12 8
## 46 Switzerland 36708 32300 1987 0.29 5.41 230
## 47 Kyrgyzstan 40085 32126 1474 0.42 3.68 226
## 48 Azerbaijan 33647 30642 492 0.24 1.46 49
## 49 Romania 62547 30311 2729 1.26 4.36 142
## 50 Bolivia 89999 29808 3640 1.06 4.04 312
## 51 Afghanistan 37162 26228 1328 0.29 3.57 34
## 52 Algeria 35214 24506 1302 1.50 3.70 30
## 53 Ireland 26712 23364 1772 0.26 6.63 359
## 54 Morocco 33237 23347 498 3.84 1.50 13
## 55 Uzbekistan 31068 22559 198 2.88 0.64 6
## 56 Austria 22106 20010 723 0.33 3.27 80
## 57 Moldova 27660 19300 845 0.79 3.05 209
## 58 Belgium 74152 17780 9872 1.02 13.31 852
## 59 Nepal 23310 16493 79 1.47 0.34 3
## 60 Cameroon 18042 15320 395 0.00 2.19 15
## 61 Serbia 28262 14047 646 1.43 2.29 74
## 62 South Korea 14626 13658 305 0.19 2.09 6
## 63 Kenya 26928 13495 423 4.22 1.57 8
## 64 Venezuela 25805 13356 223 3.38 0.86 8
## 65 Denmark 14759 13047 617 0.05 4.18 107
## 66 Côte d'Ivoire 16715 12926 105 0.57 0.63 4
## 67 Czech Republic 18355 12785 390 0.66 2.12 36
## 68 Australia 21407 11876 314 1.53 1.47 12
## 69 Madagascar 13202 11011 151 0.89 1.14 5
## 70 Ethiopia 22818 10206 407 2.54 1.78 4
## 71 El Salvador 20872 9720 563 2.20 2.70 87
## 72 Palestinian Territory 14510 8045 100 2.15 0.69 NA
## 73 Bulgaria 13396 7772 447 0.40 3.34 64
## 74 Costa Rica 23286 7730 235 2.12 1.01 46
## 75 Republika Severna Makedonija 11839 7664 527 0.72 4.45 NA
## 76 Senegal 11312 7390 236 1.23 2.09 14
## 77 Bosnia and Herzegovina 13687 7373 394 0.00 2.88 120
## 78 Honduras 47454 6597 1495 1.02 3.15 151
## 79 Sudan 11956 6266 781 0.52 6.53 18
## 80 Sweden 82323 4971 5763 0.00 7.00 571
## 81 United Kingdom 310825 1918 46574 0.34 14.98 686
## 82 Netherlands 59194 322 6157 1.08 10.40 359
## 83 Puerto Rico 22821 0 279 6.52 1.22 98
## [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 2020-08-10 China Hong Kong 4148 2917 55 69
## 2 2020-08-10 China Shanghai 786 731 7 18
## 3 2020-08-10 China Xinjiang 853 296 3 14
## 4 2020-08-10 China Shandong 810 788 7 4
## 5 2020-08-10 China Sichuan 615 599 3 4
## 6 2020-08-10 China Guangdong 1696 1671 8 3
## 7 2020-08-10 China Shaanxi 331 319 3 3
## 8 2020-08-10 China Liaoning 261 186 2 2
## 9 2020-08-10 China Gansu 169 165 2 2
## 10 2020-08-10 China Zhejiang 1273 1268 1 1