Ending day prediction of nCoV2019
26/06/2020
source('./predict.R')
## [1] "2020-06-25"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 United States 2464544 1040661 124331 1.61 5.04 376
## 2 Brazil 1193609 649908 53895 3.61 4.52 254
## 3 United Kingdom 307980 1918 43230 0.58 14.04 637
## 4 Italy 239410 186111 34644 0.24 14.47 573
## 5 France 161348 75127 29731 0.05 18.43 455
## 6 Spain 294166 196958 28327 0.11 9.63 606
## 7 Mexico 196847 149318 24324 2.84 12.36 189
## 8 India 474711 272689 14916 2.79 3.14 11
## 9 Iran 215096 175103 10130 1.22 4.71 121
## 10 Belgium 61007 16771 9726 0.18 15.94 839
## 11 Germany 193998 179031 9098 0.27 4.69 109
## 12 Russia 613994 375164 8605 1.17 1.40 59
## 13 Peru 264689 151589 8586 1.49 3.24 260
## 14 Canada 102242 65091 8484 0.27 8.30 225
## 15 Netherlands 49914 322 6100 0.22 12.22 356
## 16 Sweden 62324 4971 5209 2.44 8.36 516
## 17 Turkey 191657 164234 5025 0.78 2.62 60
## 18 Chile 254416 215093 4731 1.46 1.86 247
## 19 China 85134 80002 4648 0.04 5.46 3
## 20 Ecuador 51643 24991 4274 0.00 8.28 242
## 21 Pakistan 192970 81307 3903 2.14 2.02 18
## 22 Indonesia 50187 20449 2620 2.40 5.22 10
## 23 Colombia 77113 31671 2491 4.81 3.23 49
## 24 Egypt 59561 15935 2450 2.44 4.11 24
## 25 South Africa 111796 56874 2205 5.36 1.97 37
## 26 Switzerland 31428 29000 1958 0.17 6.23 226
## 27 Ireland 25396 23364 1726 0.02 6.80 350
## 28 Bangladesh 126606 51495 1621 3.22 1.28 10
## 29 Romania 25286 17906 1565 1.85 6.19 81
## 30 Portugal 40415 26382 1549 0.78 3.83 152
## 31 Poland 33119 18654 1436 0.91 4.34 38
## 32 Saudi Arabia 170639 117882 1428 2.02 0.84 41
## 33 Iraq 36702 16814 1330 6.38 3.62 33
## 34 Philippines 33069 8910 1212 2.40 3.67 11
## 35 Argentina 49851 14788 1124 5.58 2.25 25
## 36 Ukraine 40008 17758 1067 2.55 2.67 24
## 37 Japan 18130 16263 969 0.00 5.34 8
## 38 Bolivia 27487 6795 876 4.16 3.19 75
## 39 Algeria 12248 8792 869 1.42 7.10 20
## 40 Austria 17477 16320 698 0.16 3.99 78
## 41 Dominican Republic 28631 16006 691 2.49 2.41 64
## 42 Afghanistan 30175 10174 675 1.80 2.24 17
## 43 Denmark 12815 11622 603 0.69 4.71 104
## 44 Guatemala 14819 2930 601 1.92 4.06 34
## 45 Panama 28030 14794 547 2.62 1.95 127
## 46 Nigeria 22020 7613 542 3.04 2.46 3
## 47 Moldova 15078 8599 502 2.47 3.33 124
## 48 Honduras 14571 1546 417 4.50 2.86 42
## 49 Armenia 22488 11335 397 3.55 1.77 134
## 50 Belarus 60382 41448 367 0.73 0.61 39
## 51 Czech Republic 10780 7592 344 1.21 3.19 32
## 52 Kuwait 42788 33367 339 2.17 0.79 79
## 53 Cameroon 12592 10100 313 2.62 2.49 12
## 54 United Arab Emirates 46563 35165 308 1.93 0.66 31
## 55 Israel 22139 15961 308 2.18 1.39 36
## 56 South Korea 12563 10974 282 0.22 2.24 6
## 57 Serbia 13372 12154 264 1.04 1.97 30
## 58 Morocco 11279 8488 216 5.48 1.92 6
## 59 Azerbaijan 14852 8059 180 8.29 1.21 18
## 60 Oman 34902 18520 144 4.07 0.41 28
## 61 Kazakhstan 19285 11882 136 2.77 0.71 7
## 62 Qatar 91838 74544 106 1.17 0.12 37
## 63 Ghana 15013 11078 95 3.05 0.63 3
## 64 Bahrain 23570 17977 69 2.20 0.29 41
## 65 Nepal 11162 2650 26 4.05 0.23 1
## 66 Singapore 42736 36299 26 0.27 0.06 4
## [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 2020-06-25 China Hong Kong 1193 1088 7 14
## 2 2020-06-25 China Beijing 863 584 9 13
## 3 2020-06-25 China Hebei 349 323 6 1
## 4 2020-06-25 China Guangdong 1635 1621 8 1
## 5 2020-06-25 China Taiwan 447 435 7 1