Ending day prediction of nCoV2019
25/06/2020
source('./predict.R')
## [1] "2020-06-24"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 Belgium 60898 16771 9722 0.14 15.96 839
## 2 United Kingdom 306210 1918 42927 0.30 14.02 632
## 3 Spain 293832 196958 28325 0.08 9.64 606
## 4 Italy 238833 184585 34675 0.05 14.52 574
## 5 Sweden 60837 4971 5161 0.00 8.48 511
## 6 France 161267 74871 29720 0.32 18.43 455
## 7 United States 2425507 1020455 123504 1.47 5.09 373
## 8 Netherlands 49804 322 6097 0.16 12.24 356
## 9 Ireland 25391 22698 1720 0.03 6.77 348
## 10 Peru 260810 148437 8404 1.31 3.22 255
## 11 Brazil 1152066 613345 52788 3.45 4.58 248
## 12 Ecuador 51643 24991 4274 1.98 8.28 242
## 13 Chile 250767 210570 4505 1.54 1.80 236
## 14 Switzerland 31376 29000 1958 0.14 6.24 226
## 15 Canada 101963 64704 8454 0.38 8.29 224
## 16 Mexico 191410 144448 23377 3.40 12.21 181
## 17 Portugal 40104 26083 1543 0.92 3.85 151
## 18 Armenia 21717 10797 386 3.38 1.78 130
## 19 Panama 27314 14694 536 2.10 1.96 124
## 20 Moldova 14714 8400 492 0.00 3.34 122
## 21 Iran 212501 172096 9996 1.21 4.70 119
## 22 Germany 193467 178612 9086 0.35 4.70 108
## 23 Denmark 12727 11393 603 0.00 4.74 104
## 24 Romania 24826 17391 1555 1.31 6.26 81
## 25 Kuwait 41879 32809 337 2.06 0.80 79
## 26 Austria 17449 16282 693 0.24 3.97 77
## 27 Bolivia 26389 6300 846 3.51 3.21 72
## 28 Dominican Republic 27936 15551 675 2.07 2.42 62
## 29 Turkey 190165 162848 5001 0.67 2.63 59
## 30 Russia 606881 368822 8513 1.20 1.40 58
## 31 Colombia 73572 30459 2404 3.36 3.27 47
## 32 Honduras 13943 1461 405 4.40 2.90 41
## 33 Saudi Arabia 167267 112797 1387 1.90 0.83 40
## 34 Bahrain 23062 17450 67 2.92 0.29 39
## 35 Belarus 59945 40136 362 0.77 0.60 38
## 36 Poland 32821 18134 1436 0.90 4.38 38
## 37 Israel 21666 15898 308 1.98 1.42 36
## 38 Qatar 90778 73083 104 1.34 0.11 36
## 39 South Africa 106108 55045 2102 4.45 1.98 35
## 40 Czech Republic 10651 7559 340 0.85 3.19 32
## 41 Guatemala 14540 2897 582 5.60 4.00 32
## 42 United Arab Emirates 45683 33703 305 0.00 0.67 31
## 43 Iraq 34502 15753 1251 5.59 3.63 31
## 44 Serbia 13235 12111 263 1.09 1.99 30
## 45 Oman 33536 17972 142 3.53 0.42 28
## 46 Argentina 47216 13816 1085 5.09 2.30 24
## 47 Ukraine 39014 17409 1051 2.47 2.69 24
## 48 Egypt 58141 15535 2365 2.34 4.07 23
## 49 Algeria 12076 8674 861 1.31 7.13 20
## 50 Pakistan 188926 77754 3755 2.10 1.99 17
## 51 Afghanistan 29640 9869 639 0.54 2.16 16
## 52 Azerbaijan 13715 7503 167 3.85 1.22 16
## 53 Cameroon 12270 7774 313 1.90 2.55 12
## 54 India 461828 261682 14577 4.50 3.16 11
## 55 Philippines 32295 8656 1204 1.48 3.73 11
## 56 Bangladesh 122660 49666 1582 2.90 1.29 10
## 57 Indonesia 49009 19658 2573 2.32 5.25 9
## 58 Japan 18130 16212 969 0.82 5.34 8
## 59 Kazakhstan 18765 11514 134 2.93 0.71 7
## 60 Morocco 10693 8426 214 4.18 2.00 6
## 61 South Korea 12535 10908 281 0.41 2.24 5
## 62 Singapore 42623 35995 26 0.45 0.06 4
## 63 China 85104 79994 4647 0.02 5.46 3
## 64 Ghana 14568 10907 95 0.00 0.65 3
## 65 Nigeria 21371 7338 533 2.16 2.49 3
## 66 Nepal 10728 2338 24 6.23 0.22 1
## [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 2020-06-24 China Beijing 850 584 9 7
## 2 2020-06-24 China Gansu 161 138 2 3
## 3 2020-06-24 China Hebei 348 323 6 2
## 4 2020-06-24 China Shanghai 703 670 7 2
## 5 2020-06-24 China Shaanxi 319 307 3 2
## 6 2020-06-24 China Hong Kong 1179 1086 6 2