Ending day prediction of nCoV2019
29/06/2020
source('./predict.R')
## [1] "2020-06-28"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 United States 2597742 1081531 128163 1.68 4.93 387
## 2 Brazil 1319274 715905 57149 3.04 4.33 269
## 3 Russia 634437 399087 9073 1.08 1.43 62
## 4 India 538689 316823 16262 3.81 3.02 12
## 5 Chile 267766 228055 5347 1.67 2.00 280
## 6 Spain 295549 196958 28341 0.19 9.59 606
## 7 Italy 240136 188584 34716 0.07 14.46 574
## 8 Iran 222669 183310 10508 1.13 4.72 125
## 9 Germany 195399 180318 9128 0.18 4.67 109
## 10 Turkey 195883 169182 5082 0.71 2.59 60
## 11 Peru 275989 164024 9135 1.33 3.31 277
## 12 Saudi Arabia 182493 124755 1551 2.23 0.85 45
## 13 Mexico 212802 123797 26381 2.12 12.40 205
## 14 Pakistan 202955 92624 4118 2.05 2.03 19
## 15 China 85193 80036 4648 0.02 5.46 3
## 16 Qatar 94413 78702 110 0.80 0.12 38
## 17 France 162936 75351 29778 0.00 18.28 456
## 18 South Africa 131800 67094 2413 5.79 1.83 41
## 19 Canada 102963 65915 8516 0.16 8.27 226
## 20 Bangladesh 137787 55727 1738 2.84 1.26 11
## 21 Belarus 61475 45027 383 0.62 0.62 41
## 22 Singapore 43459 37163 26 0.49 0.06 4
## 23 Colombia 88591 36273 2939 4.91 3.32 58
## 24 United Arab Emirates 47360 35834 311 0.82 0.66 31
## 25 Kuwait 44942 35494 348 1.24 0.77 81
## 26 Switzerland 31617 29100 1962 0.20 6.21 227
## 27 Ecuador 54574 26920 4424 1.33 8.11 251
## 28 Portugal 41189 26864 1561 0.00 3.79 153
## 29 Ireland 25437 23364 1734 0.09 6.82 351
## 30 Indonesia 54010 22936 2754 2.27 5.10 10
## 31 Oman 38150 21200 163 3.24 0.43 32
## 32 Iraq 45402 21122 1756 4.95 3.87 44
## 33 Poland 33907 20548 1438 0.57 4.24 38
## 34 Argentina 57744 20134 1217 4.34 2.11 27
## 35 Bahrain 25267 19781 78 1.86 0.31 46
## 36 Ukraine 42982 18934 1129 2.18 2.63 26
## 37 Romania 26313 18814 1612 1.12 6.13 84
## 38 Egypt 63923 17140 2708 1.86 4.24 26
## 39 Israel 23497 17019 318 3.06 1.35 37
## 40 Belgium 61295 16941 9732 0.14 15.88 840
## 41 Dominican Republic 30619 16666 718 2.87 2.34 66
## 42 Japan 18521 16506 972 0.62 5.25 8
## 43 Austria 17654 16401 702 0.42 3.98 78
## 44 Panama 30658 15370 592 2.52 1.93 137
## 45 Armenia 24645 13116 426 3.08 1.73 144
## 46 Kazakhstan 20780 12738 173 2.27 0.83 9
## 47 Afghanistan 30967 12588 737 1.15 2.38 19
## 48 Serbia 14046 12464 270 1.84 1.92 31
## 49 Ghana 16431 12257 103 3.77 0.63 3
## 50 Denmark 12875 11708 604 0.00 4.69 104
## 51 South Korea 12715 11364 282 0.49 2.22 6
## 52 Cameroon 12592 10100 313 0.00 2.49 12
## 53 Philippines 35455 9686 1244 1.87 3.51 11
## 54 Algeria 12968 9202 892 2.23 6.88 20
## 55 Moldova 16250 9081 530 3.00 3.26 131
## 56 Morocco 11986 8730 220 1.11 1.84 6
## 57 Azerbaijan 15890 8719 193 3.39 1.21 19
## 58 Nigeria 24077 8625 558 3.34 2.32 3
## 59 Bolivia 30676 8158 970 4.26 3.16 83
## 60 Czech Republic 11306 7682 349 2.37 3.09 33
## 61 Sweden 65137 4971 5280 0.00 8.11 523
## 62 Guatemala 16397 3123 706 3.59 4.31 39
## 63 Nepal 12772 3013 28 3.76 0.22 1
## 64 United Kingdom 311151 1918 43550 0.58 14.00 642
## 65 Honduras 17007 1767 479 6.33 2.82 48
## 66 Netherlands 50147 322 6105 0.15 12.17 356
## [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 2020-06-28 China Beijing 905 585 9 14
## 2 2020-06-28 China Hong Kong 1199 1104 7 2
## 3 2020-06-28 China Liaoning 155 147 2 1
## 4 2020-06-28 China Shanghai 707 675 7 1
## 5 2020-06-28 China Shaanxi 320 307 3 1