Ending day prediction of nCoV2019
02/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-09-01"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 6213751 3457318 187825 0.62 3.02 567
## 2 Brazil 3910901 3097734 121515 1.26 3.11 572
## 3 India 3715931 2856147 65725 2.06 1.77 48
## 4 Mexico 599560 416738 64414 0.62 10.74 500
## 5 United Kingdom 335873 1918 41501 0.42 12.36 611
## 6 Italy 269214 207653 35483 0.37 13.18 587
## 7 France 281025 86469 30635 1.11 10.90 469
## 8 Spain 462858 196958 29094 1.59 6.29 622
## 9 Peru 652037 462329 28944 0.75 4.44 878
## 10 Iran 376894 325124 21672 0.45 5.75 258
## 11 Colombia 615168 459475 19663 1.19 3.20 386
## 12 Russia 1000048 815705 17299 0.48 1.73 119
## 13 South Africa 627041 540923 14149 0.32 2.26 239
## 14 Chile 411726 383879 11289 0.43 2.74 591
## 15 Belgium 85236 18422 9895 0.23 11.61 854
## 16 Germany 245150 218308 9468 0.63 3.86 113
## 17 Canada 128948 114227 9126 0.79 7.08 242
## 18 Argentina 417735 308376 8730 2.28 2.09 193
## 19 Indonesia 177571 128057 7505 1.59 4.23 27
## 20 Iraq 238338 180473 7123 3.10 2.99 177
## 21 Ecuador 113767 101669 6556 0.10 5.76 372
## 22 Turkey 270133 244926 6370 0.59 2.36 76
## 23 Pakistan 296149 280970 6298 0.10 2.13 29
## 24 Netherlands 71129 322 6230 0.65 8.76 364
## 25 Sweden 84521 4971 5813 0.17 6.88 576
## 26 Egypt 98939 72929 5421 0.21 5.48 53
## 27 Bolivia 116598 60408 5027 0.54 4.31 431
## 28 China 90414 85108 4731 0.02 5.23 3
## 29 Bangladesh 314946 208177 4316 0.62 1.37 26
## 30 Saudi Arabia 316670 291514 3929 0.28 1.24 113
## 31 Romania 88593 38454 3681 1.20 4.15 191
## 32 Philippines 224264 158012 3597 1.56 1.60 33
## 33 Guatemala 74074 62068 2760 0.22 3.73 154
## 34 Ukraine 123303 57802 2605 1.72 2.11 60
## 35 Poland 67922 47030 2058 0.82 3.03 54
## 36 Switzerland 42393 36100 2011 0.51 4.74 232
## 37 Panama 92982 66173 2002 1.00 2.15 464
## 38 Honduras 61014 10396 1873 1.40 3.07 189
## 39 Portugal 58243 42104 1824 0.82 3.13 179
## 40 Ireland 28811 23364 1777 0.18 6.17 360
## 41 Dominican Republic 94715 68082 1710 0.50 1.81 158
## 42 Kazakhstan 105872 96899 1523 0.07 1.44 81
## 43 Algeria 44494 31244 1510 0.79 3.39 34
## 44 Afghanistan 38196 29231 1406 0.08 3.68 36
## 45 Japan 69151 57823 1313 0.93 1.90 10
## 46 Morocco 62590 47595 1141 1.94 1.82 31
## 47 Kyrgyzstan 43958 38649 1059 0.14 2.41 162
## 48 Nigeria 54008 41638 1013 0.27 1.88 5
## 49 Moldova 36920 25872 995 0.60 2.70 247
## 50 Israel 117241 95596 946 1.90 0.81 109
## 51 Armenia 43878 38356 881 0.22 2.01 297
## 52 Sudan 13189 6612 823 0.00 6.24 19
## 53 Ethiopia 52131 18994 809 1.97 1.55 7
## 54 Austria 27642 23565 734 0.74 2.66 81
## 55 El Salvador 25820 14570 724 0.35 2.80 112
## 56 Serbia 31482 30053 715 0.37 2.27 82
## 57 Oman 85928 81024 689 0.24 0.80 135
## 58 Belarus 71843 70468 681 0.00 0.95 72
## 59 Australia 25819 21503 657 0.28 2.54 26
## 60 Bulgaria 16266 11483 629 0.47 3.87 91
## 61 Denmark 17410 15593 624 0.00 3.58 108
## 62 Bosnia and Herzegovina 20234 13435 620 1.35 3.06 189
## 63 Republika Severna Makedonija 14455 11525 604 0.79 4.18 NA
## 64 Kenya 34201 19893 577 0.42 1.69 11
## 65 Azerbaijan 36578 33977 536 0.39 1.47 53
## 66 Kuwait 85811 77657 534 0.82 0.62 125
## 67 Costa Rica 41287 16056 436 4.00 1.06 86
## 68 Puerto Rico 33421 2267 435 0.67 1.30 152
## 69 Czech Republic 24618 17807 424 1.03 1.72 40
## 70 Cameroon 19142 17651 411 0.00 2.15 15
## 71 Venezuela 46728 38112 386 1.87 0.83 14
## 72 United Arab Emirates 70231 60931 384 0.78 0.55 39
## 73 Paraguay 17662 9421 326 3.26 1.85 46
## 74 South Korea 20182 15198 324 1.18 1.61 6
## 75 Uzbekistan 41994 39275 322 0.50 0.77 10
## 76 Zambia 12097 11469 288 0.00 2.38 16
## 77 Senegal 13655 9484 284 0.32 2.08 17
## 78 Ghana 44298 42963 276 0.21 0.62 9
## 79 Greece 10317 3804 266 1.81 2.58 26
## 80 Norway 10782 9348 264 1.31 2.45 49
## 81 Democratic Republic of the Congo 10104 9322 259 0.59 2.56 NA
## 82 Libya 14624 1676 242 4.71 1.65 35
## 83 Nepal 40529 22178 239 2.71 0.59 8
## 84 Qatar 118994 115895 198 0.18 0.17 69
## 85 Madagascar 14957 13915 195 0.63 1.30 7
## 86 Bahrain 51972 49047 190 0.77 0.37 112
## 87 Croatia 10414 7735 187 1.41 1.80 46
## 88 Lebanon 17308 4811 167 2.60 0.96 24
## 89 Palestinian Territory 23281 15338 159 2.43 0.68 NA
## 90 Côte d'Ivoire 18067 16699 117 0.66 0.65 4
## 91 Singapore 56852 55658 27 0.07 0.05 5
## [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 2020-09-01 China Hong Kong 4822 4380 90 12
## 2 2020-09-01 China Hebei 365 346 6 3
## 3 2020-09-01 China Inner Mongolia 261 257 1 1
## 4 2020-09-01 China Shanghai 904 842 7 1
## 5 2020-09-01 China Fujian 383 368 1 1
## 6 2020-09-01 China Guangdong 1740 1721 8 1