Ending day prediction of nCoV2019
06/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-09-05"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Peru 676848 498523 29554 1.00 4.37 896
## 2 Belgium 87174 18534 9901 0.73 11.36 854
## 3 Spain 517133 196958 29418 5.86 5.69 629
## 4 United Kingdom 342351 1918 41537 0.57 12.13 612
## 5 Chile 418469 391248 11494 0.47 2.75 601
## 6 Brazil 4091801 3278243 125584 1.13 3.07 591
## 7 Italy 274644 209027 35518 0.63 12.93 587
## 8 United States 6390240 3636284 192146 0.85 3.01 580
## 9 Sweden 84985 4971 5835 0.00 6.87 578
## 10 Mexico 623090 434667 66851 1.00 10.73 518
## 11 Panama 95596 68742 2063 0.72 2.16 478
## 12 France 309156 87206 30724 2.99 9.94 471
## 13 Bolivia 119580 67844 5343 0.67 4.47 458
## 14 Colombia 650062 498221 20888 1.32 3.21 411
## 15 Ecuador 117175 102200 6674 0.70 5.70 378
## 16 Netherlands 73862 322 6241 0.89 8.45 364
## 17 Ireland 29303 23364 1777 0.33 6.06 360
## 18 Armenia 44649 39823 895 0.42 2.00 302
## 19 Iran 384666 332131 22154 0.49 5.76 264
## 20 Moldova 38906 27017 1047 1.39 2.69 260
## 21 South Africa 635078 557818 14678 0.33 2.31 247
## 22 Canada 131124 115926 9141 0.48 6.97 242
## 23 Switzerland 43957 36500 2013 0.98 4.58 233
## 24 Argentina 461882 340381 9685 2.37 2.10 214
## 25 Honduras 63798 12347 1984 1.01 3.11 200
## 26 Romania 93864 40028 3850 1.37 4.10 200
## 27 Bosnia and Herzegovina 21439 14636 651 3.05 3.04 198
## 28 Iraq 256719 195259 7422 1.84 2.89 185
## 29 Portugal 59457 42576 1833 0.00 3.08 180
## 30 Dominican Republic 96629 70871 1801 0.00 1.86 166
## 31 Kyrgyzstan 44293 39599 1060 0.21 2.39 162
## 32 Puerto Rico 34241 2267 455 0.00 1.33 159
## 33 Guatemala 77040 65029 2825 0.89 3.67 158
## 34 Oman 86380 81828 705 0.00 0.82 138
## 35 Kuwait 88963 79903 540 0.82 0.61 126
## 36 Russia 1020310 838126 17759 0.51 1.74 122
## 37 Saudi Arabia 319932 295842 4049 0.25 1.27 116
## 38 El Salvador 26206 15587 752 0.41 2.87 116
## 39 Bahrain 54095 50323 196 1.24 0.36 115
## 40 Israel 126419 100357 993 0.53 0.79 115
## 41 Germany 250349 221903 9493 0.50 3.79 113
## 42 Denmark 17974 15979 627 0.00 3.49 108
## 43 Bulgaria 16954 12046 665 1.07 3.92 96
## 44 Costa Rica 45680 18053 469 2.75 1.03 92
## 45 Kazakhstan 106225 99018 1588 0.10 1.49 85
## 46 Serbia 31849 30529 723 0.24 2.27 83
## 47 Austria 29087 24828 735 1.25 2.53 82
## 48 Turkey 276555 249108 6564 0.59 2.37 78
## 49 Belarus 72663 71843 705 0.25 0.97 75
## 50 Qatar 119864 116780 202 0.19 0.17 70
## 51 Ukraine 133787 61649 2811 2.17 2.10 64
## 52 Poland 70387 52346 2113 0.81 3.00 56
## 53 Paraguay 20654 10523 398 3.48 1.93 56
## 54 Azerbaijan 37192 34565 545 0.43 1.47 54
## 55 Egypt 99582 76305 5495 0.16 5.52 54
## 56 India 4047653 3124787 69920 2.51 1.73 51
## 57 Norway 11231 9348 264 1.00 2.35 49
## 58 Croatia 11739 8771 197 2.72 1.68 48
## 59 Czech Republic 27249 19027 429 3.01 1.57 40
## 60 Libya 17094 2025 272 3.95 1.59 40
## 61 United Arab Emirates 73471 63652 388 0.97 0.53 39
## 62 Afghanistan 38324 30082 1409 0.05 3.68 36
## 63 Algeria 45773 32259 1539 0.67 3.36 35
## 64 Morocco 68605 52483 1292 2.62 1.88 35
## 65 Philippines 234570 161668 3790 1.08 1.62 35
## 66 Australia 26207 22330 748 0.27 2.85 29
## 67 Indonesia 190665 136401 7940 1.67 4.16 29
## 68 Pakistan 298025 282553 6340 0.17 2.13 29
## 69 Bangladesh 323565 217852 4447 0.61 1.37 27
## 70 Greece 11200 3804 279 1.84 2.49 27
## 71 Lebanon 19490 5592 183 2.78 0.94 27
## 72 Sudan 13189 6612 823 0.00 6.24 19
## 73 Senegal 13948 9851 290 0.48 2.08 17
## 74 Cameroon 19604 18448 415 0.00 2.12 16
## 75 Zambia 12639 11572 292 0.00 2.31 16
## 76 Venezuela 50973 41249 412 2.20 0.81 14
## 77 Japan 70994 60417 1352 0.00 1.90 11
## 78 Kenya 35020 21158 594 0.91 1.70 11
## 79 Nepal 45277 27127 280 2.35 0.62 10
## 80 Uzbekistan 43075 40432 339 0.18 0.79 10
## 81 Ghana 44777 43693 283 0.14 0.63 9
## 82 Ethiopia 56516 20612 880 2.36 1.56 8
## 83 Madagascar 15269 14113 199 0.54 1.30 7
## 84 South Korea 21010 16009 333 0.81 1.58 6
## 85 Côte d'Ivoire 18269 17162 119 0.34 0.65 5
## 86 Nigeria 54743 42816 1051 0.28 1.92 5
## 87 Singapore 56982 56174 27 0.06 0.05 5
## 88 China 90508 85302 4735 0.02 5.23 3
## 89 Democratic Republic of the Congo 10178 9420 259 0.52 2.54 NA
## 90 Republika Severna Makedonija 14871 12054 609 0.00 4.10 NA
## 91 Palestinian Territory 25575 16661 176 1.72 0.69 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 2020-09-05 China Hong Kong 4857 4493 94 7
## 2 2020-09-05 China Shanghai 916 866 7 3
## 3 2020-09-05 China Guangdong 1760 1723 8 2
## 4 2020-09-05 China Yunnan 201 191 2 2
## 5 2020-09-05 China Taiwan 492 473 7 2
## 6 2020-09-05 China Fujian 385 370 1 1
## 7 2020-09-05 China Shaanxi 374 360 3 1
## 8 2020-09-05 China Gansu 170 167 2 1