Ending day prediction of nCoV2019
30/08/2020
options(width = 100)
source('./predict.R')
## [1] "2020-08-29"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Afghanistan 38143 29063 1402 0.01 3.68 36
## 2 Algeria 43403 30436 1483 0.90 3.42 34
## 3 Argentina 392009 287220 8305 3.08 2.12 184
## 4 Armenia 43626 37563 872 0.40 2.00 294
## 5 Australia 25547 20856 600 0.39 2.35 24
## 6 Austria 26985 22866 733 1.49 2.72 81
## 7 Azerbaijan 36174 33576 529 0.92 1.46 52
## 8 Bahrain 51113 47760 189 0.70 0.37 111
## 9 Bangladesh 308925 198863 4206 0.69 1.36 26
## 10 Belarus 71523 70207 671 0.25 0.94 71
## 11 Belgium 83952 18360 9886 0.54 11.78 853
## 12 Bolivia 114409 54914 4846 1.13 4.24 415
## 13 Bosnia and Herzegovina 19550 12858 594 1.75 3.04 181
## 14 Brazil 3812605 2976796 119594 1.28 3.14 563
## 15 Bulgaria 16065 11231 603 0.99 3.75 87
## 16 Cameroon 19142 17651 411 0.00 2.15 15
## 17 Canada 127358 113234 9108 0.40 7.15 241
## 18 Chile 405972 379452 11132 0.46 2.74 582
## 19 China 90343 84942 4727 0.03 5.23 3
## 20 Colombia 590520 429620 18767 1.46 3.18 369
## 21 Costa Rica 38485 14664 407 3.20 1.06 80
## 22 Côte d'Ivoire 17797 16315 115 0.54 0.65 4
## 23 Czech Republic 23777 17497 419 2.05 1.76 39
## 24 Democratic Republic of the Congo 10007 9068 258 0.13 2.58 NA
## 25 Denmark 17125 15252 624 0.00 3.64 108
## 26 Dominican Republic 93390 65285 1648 0.46 1.76 152
## 27 Ecuador 112141 95311 6504 0.83 5.80 369
## 28 Egypt 98285 70419 5362 0.23 5.46 52
## 29 El Salvador 25537 13799 708 0.48 2.77 109
## 30 Ethiopia 48140 17415 758 3.73 1.57 7
## 31 France 267077 86177 30596 2.84 11.46 469
## 32 Germany 242390 215095 9457 0.68 3.90 113
## 33 Ghana 44118 42581 270 0.63 0.61 9
## 34 Guatemala 72921 60534 2709 1.48 3.71 151
## 35 Honduras 58810 10076 1827 1.98 3.11 184
## 36 India 3477250 2658419 62837 2.17 1.81 46
## 37 Indonesia 169195 122802 7261 1.99 4.29 27
## 38 Iran 371816 319847 21359 0.51 5.74 254
## 39 Iraq 223612 164874 6814 1.90 3.05 169
## 40 Ireland 28578 23364 1777 0.44 6.22 360
## 41 Israel 112000 91051 894 0.45 0.80 103
## 42 Italy 265409 206902 35472 0.55 13.37 587
## 43 Japan 67483 55341 1271 1.27 1.88 10
## 44 Kazakhstan 105558 95888 1523 0.14 1.44 81
## 45 Kenya 33630 19434 567 0.72 1.69 11
## 46 Kuwait 84224 75993 528 0.77 0.63 124
## 47 Kyrgyzstan 43712 37973 1057 0.29 2.42 162
## 48 Lebanon 15613 4260 148 4.53 0.95 22
## 49 Libya 12958 1333 231 2.61 1.78 34
## 50 Madagascar 14791 13753 190 0.65 1.28 7
## 51 Mexico 585738 404667 63146 1.00 10.78 490
## 52 Moldova 35904 24156 981 1.01 2.73 243
## 53 Morocco 58489 43049 1052 2.46 1.80 29
## 54 Nepal 37340 20555 207 2.42 0.55 7
## 55 Netherlands 69632 322 6224 0.72 8.94 363
## 56 Nigeria 53477 41017 1011 0.30 1.89 5
## 57 Norway 10582 9348 264 0.38 2.49 49
## 58 Oman 85005 79608 650 0.00 0.76 127
## 59 Pakistan 295372 280340 6284 0.11 2.13 28
## 60 Palestinian Territory 21668 14631 147 1.96 0.68 NA
## 61 Panama 90624 64602 1966 0.71 2.17 456
## 62 Paraguay 15873 8595 280 3.81 1.76 39
## 63 Peru 629961 438017 28471 1.28 4.52 863
## 64 Philippines 213131 135101 3419 1.71 1.60 31
## 65 Poland 66239 45536 2032 1.16 3.07 54
## 66 Portugal 57074 41556 1815 0.00 3.18 178
## 67 Puerto Rico 31988 2267 424 0.00 1.33 148
## 68 Qatar 118407 115251 196 0.18 0.17 68
## 69 Republika Severna Makedonija 14293 11014 596 2.06 4.17 NA
## 70 Romania 85833 37388 3539 1.62 4.12 184
## 71 Russia 985346 804383 17025 0.50 1.73 117
## 72 Saudi Arabia 313911 288441 3840 0.32 1.22 110
## 73 Senegal 13456 9233 282 0.54 2.10 17
## 74 Serbia 31282 29825 710 0.24 2.27 81
## 75 Singapore 56717 55337 27 0.09 0.05 5
## 76 South Africa 620132 533935 13743 0.30 2.22 232
## 77 South Korea 19400 14765 321 1.69 1.65 6
## 78 Spain 455621 196958 29011 0.85 6.37 620
## 79 Sudan 13189 6612 823 1.10 6.24 19
## 80 Sweden 83958 4971 5821 0.00 6.93 576
## 81 Switzerland 41722 35200 2005 0.91 4.81 232
## 82 Turkey 265515 241809 6245 0.57 2.35 74
## 83 Ukraine 116978 56138 2492 2.17 2.13 57
## 84 United Arab Emirates 69328 60202 379 0.62 0.55 38
## 85 United Kingdom 331644 1918 41486 0.39 12.51 611
## 86 United States 6097710 3376557 185986 0.80 3.05 562
## 87 Uzbekistan 40953 37947 305 0.57 0.74 9
## 88 Venezuela 43879 34972 366 2.29 0.83 13
## 89 Zambia 11779 10945 283 0.00 2.40 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 2020-08-29 China Hong Kong 4786 4287 86 18
## 2 2020-08-29 China Shanghai 894 829 7 3
## 3 2020-08-29 China Fujian 378 366 1 2
## 4 2020-08-29 China Guangdong 1737 1716 8 2
## 5 2020-08-29 China Sichuan 650 622 3 2
## 6 2020-08-29 China Tianjin 221 213 3 1
## 7 2020-08-29 China Taiwan 488 462 7 1