Ending day prediction of nCoV2019
03/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-09-02"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Paraguay 18338 9721 348 3.83 1.90 49
## 2 Libya 15156 1746 250 3.64 1.65 36
## 3 Croatia 10725 7968 191 2.99 1.78 47
## 4 Nepal 41649 23290 251 2.76 0.60 9
## 5 Lebanon 17777 4988 171 2.71 0.96 25
## 6 Zambia 12415 11494 292 2.63 2.35 16
## 7 Palestinian Territory 23875 15483 162 2.55 0.68 NA
## 8 Argentina 428239 315530 8971 2.51 2.09 198
## 9 Ethiopia 53304 19487 828 2.25 1.55 7
## 10 Moldova 37740 26189 1024 2.22 2.71 254
## 11 Venezuela 47756 39027 391 2.20 0.82 14
## 12 Costa Rica 42184 16270 443 2.17 1.05 87
## 13 India 3794314 2920122 66678 2.11 1.76 48
## 14 Israel 119627 96662 963 2.04 0.81 111
## 15 Czech Republic 25117 18116 425 2.03 1.69 40
## 16 Ukraine 125789 58817 2656 2.02 2.11 61
## 17 Greece 10524 3804 271 2.01 2.58 26
## 18 Morocco 63781 48922 1184 1.90 1.86 32
## 19 Japan 70455 57823 1327 1.89 1.88 10
## 20 United Arab Emirates 71540 62029 387 1.86 0.54 39
## 21 France 286007 86712 30661 1.77 10.72 470
## 22 Spain 470973 196958 29152 1.75 6.19 624
## 23 Indonesia 180646 129971 7616 1.73 4.22 28
## 24 Iraq 242284 184205 7201 1.66 2.97 179
## 25 Norway 10951 9348 264 1.57 2.41 49
## 26 Romania 89891 38701 3721 1.47 4.14 193
## 27 Colombia 624069 469557 20052 1.45 3.21 394
## 28 Bosnia and Herzegovina 20517 13626 627 1.40 3.06 191
## 29 Cameroon 19409 17651 414 1.39 2.13 16
## 30 South Korea 20449 15356 326 1.32 1.59 6
## 31 Honduras 61769 10430 1888 1.24 3.06 191
## 32 Austria 27969 23820 734 1.18 2.62 81
## 33 Bulgaria 16454 11615 642 1.16 3.90 92
## 34 Guatemala 74893 62935 2778 1.11 3.71 155
## 35 Mexico 606036 421373 65241 1.08 10.77 506
## 36 Brazil 3952790 3159096 122681 1.07 3.10 577
## 37 Uzbekistan 42437 39664 327 1.05 0.77 10
## 38 Netherlands 71863 322 6235 1.03 8.68 364
## 39 Republika Severna Makedonija 14600 11741 606 1.00 4.15 NA
## 40 Philippines 226440 158610 3623 0.97 1.60 33
## 41 Bahrain 52440 49395 190 0.90 0.36 112
## 42 Poland 68517 47865 2078 0.88 3.03 55
## 43 Switzerland 42763 36300 2011 0.87 4.70 232
## 44 Kenya 34493 20211 581 0.85 1.68 11
## 45 Bangladesh 317528 211016 4351 0.82 1.37 26
## 46 Kuwait 86478 78209 535 0.78 0.62 125
## 47 Peru 657129 471599 29068 0.78 4.42 882
## 48 Algeria 44833 31493 1518 0.76 3.39 35
## 49 Ireland 29025 23364 1777 0.74 6.12 360
## 50 United States 6260020 3497934 188962 0.74 3.02 571
## 51 Portugal 58633 42233 1827 0.67 3.12 179
## 52 Senegal 13743 9506 287 0.64 2.09 17
## 53 Panama 93552 66974 2018 0.61 2.16 468
## 54 Turkey 271705 245929 6417 0.58 2.36 76
## 55 Bolivia 117267 62124 5101 0.57 4.35 437
## 56 Germany 246388 219419 9473 0.50 3.84 113
## 57 Russia 1005000 821169 17414 0.50 1.73 119
## 58 Iran 378752 326801 21797 0.49 5.75 260
## 59 Ecuador 114309 101723 6571 0.48 5.75 372
## 60 Armenia 44075 38631 884 0.45 2.01 298
## 61 Madagascar 15023 13965 196 0.44 1.30 7
## 62 Nigeria 54247 42010 1023 0.44 1.89 5
## 63 Azerbaijan 36732 34116 538 0.42 1.46 53
## 64 Australia 25924 21690 663 0.41 2.56 26
## 65 Belarus 72141 70900 691 0.41 0.96 73
## 66 United Kingdom 337168 1918 41504 0.39 12.31 611
## 67 Canada 129425 114607 9132 0.37 7.06 242
## 68 Ghana 44460 43121 276 0.37 0.62 9
## 69 Italy 270189 207944 35491 0.36 13.14 587
## 70 Chile 413145 385790 11321 0.34 2.74 592
## 71 El Salvador 25904 14879 731 0.33 2.82 113
## 72 Serbia 31581 30188 716 0.31 2.27 82
## 73 Belgium 85487 18457 9897 0.29 11.58 854
## 74 Dominican Republic 94979 68736 1738 0.28 1.83 160
## 75 Saudi Arabia 317486 292510 3956 0.26 1.25 114
## 76 Côte d'Ivoire 18103 16814 117 0.20 0.65 4
## 77 South Africa 628259 549993 14263 0.19 2.27 240
## 78 Egypt 99115 73828 5440 0.18 5.49 53
## 79 Kyrgyzstan 44036 38895 1059 0.18 2.40 162
## 80 Pakistan 296590 281459 6318 0.15 2.13 29
## 81 Afghanistan 38243 29315 1409 0.12 3.68 36
## 82 Democratic Republic of the Congo 10114 9347 259 0.10 2.56 NA
## 83 Singapore 56901 55749 27 0.09 0.05 5
## 84 Kazakhstan 105944 97371 1588 0.07 1.50 85
## 85 China 90431 85160 4733 0.02 5.23 3
## 86 Sweden 84532 4971 5820 0.01 6.88 576
## 87 Denmark 17410 15593 624 0.00 3.58 108
## 88 Oman 85928 81024 689 0.00 0.80 135
## 89 Puerto Rico 33421 2267 435 0.00 1.30 152
## 90 Qatar 118994 115895 198 0.00 0.17 69
## 91 Sudan 13189 6612 823 0.00 6.24 19
## [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 2020-09-02 China Hong Kong 4830 4401 92 8
## 2 2020-09-02 China Shanghai 908 849 7 4
## 3 2020-09-02 China Guangdong 1742 1721 8 2
## 4 2020-09-02 China Liaoning 263 259 2 1
## 5 2020-09-02 China Sichuan 653 627 3 1
## 6 2020-09-02 China Taiwan 489 471 7 1