Ending day prediction of nCoV2019
23/06/2020
source('./predict.R')
## [1] "2020-06-22"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 United States 2357667 980367 122261 1.10 5.19 369
## 2 Brazil 1086990 579226 50659 1.57 4.66 238
## 3 Russia 592280 344416 8206 1.30 1.39 56
## 4 India 427046 237929 13717 1.83 3.21 10
## 5 United Kingdom 305289 1918 42647 0.31 13.97 628
## 6 Spain 293352 196958 28323 0.11 9.65 606
## 7 Peru 254936 141967 8045 1.43 3.16 244
## 8 Chile 242355 200569 4479 2.37 1.85 234
## 9 Italy 238499 182893 34634 0.09 14.52 573
## 10 Iran 207525 166427 9742 1.26 4.69 116
## 11 Germany 192487 177733 9062 0.44 4.71 108
## 12 Turkey 187685 160240 4950 0.64 2.64 59
## 13 Pakistan 181088 71458 3590 2.53 1.98 16
## 14 Mexico 180545 135279 21825 3.05 12.09 169
## 15 Saudi Arabia 161005 105175 1307 2.15 0.81 38
## 16 France 160377 74372 29640 0.18 18.48 454
## 17 Bangladesh 115786 46755 1502 3.10 1.30 9
## 18 Canada 101286 63860 8430 0.26 8.32 223
## 19 South Africa 97302 51608 1930 4.99 1.98 33
## 20 Qatar 88403 69956 99 1.18 0.11 34
## 21 China 85056 79970 4646 0.06 5.46 3
## 22 Colombia 68652 27360 2237 4.60 3.26 44
## 23 Belgium 60550 16771 9696 0.00 16.01 837
## 24 Belarus 59023 37923 351 0.89 0.59 37
## 25 Sweden 56043 4971 5053 0.00 9.02 500
## 26 Egypt 55233 14736 2193 2.74 3.97 21
## 27 Ecuador 50640 24991 4223 1.83 8.34 239
## 28 Netherlands 49658 322 6090 0.13 12.26 355
## 29 Indonesia 46845 18735 2500 2.08 5.34 9
## 30 United Arab Emirates 44925 32415 302 0.88 0.67 31
## 31 Argentina 42785 13153 1016 3.84 2.37 22
## 32 Singapore 42313 34942 26 0.52 0.06 4
## 33 Kuwait 40291 31770 330 1.62 0.82 77
## 34 Portugal 39392 25548 1534 0.66 3.89 150
## 35 Ukraine 37241 16642 1012 1.86 2.72 23
## 36 Poland 32227 17076 1436 0.93 4.46 38
## 37 Switzerland 31310 29000 1956 0.06 6.25 226
## 38 Oman 31076 16408 137 5.45 0.44 27
## 39 Iraq 30868 13935 1100 5.63 3.56 27
## 40 Philippines 30682 8143 1177 2.10 3.84 11
## 41 Afghanistan 29143 8841 598 1.08 2.05 15
## 42 Dominican Republic 26677 15138 662 3.49 2.48 61
## 43 Panama 26030 14359 501 3.20 1.92 116
## 44 Ireland 25379 22698 1715 0.02 6.76 347
## 45 Bolivia 24388 5454 773 3.73 3.17 66
## 46 Romania 24291 17031 1523 1.02 6.27 79
## 47 Bahrain 21764 16419 64 2.03 0.29 38
## 48 Israel 20869 15714 307 0.88 1.47 35
## 49 Armenia 20588 9131 360 1.58 1.75 121
## 50 Nigeria 20244 6879 518 2.20 2.56 3
## 51 Japan 17982 16133 956 0.25 5.32 8
## 52 Kazakhstan 17732 10897 120 2.94 0.68 6
## 53 Austria 17380 16241 690 0.22 3.97 77
## 54 Moldova 14200 8019 475 1.77 3.35 118
## 55 Ghana 14154 10473 85 3.19 0.60 3
## 56 Guatemala 13145 2711 531 3.06 4.04 30
## 57 Serbia 12990 11997 262 0.74 2.02 30
## 58 Honduras 12769 1293 363 3.76 2.84 37
## 59 Azerbaijan 12729 6799 154 4.01 1.21 15
## 60 Denmark 12591 11482 600 0.00 4.77 104
## 61 South Korea 12438 10881 280 0.14 2.25 5
## 62 Cameroon 11892 7710 303 2.43 2.55 11
## 63 Algeria 11771 8422 845 1.20 7.18 19
## 64 Czech Republic 10498 7499 336 0.48 3.20 31
## 65 Morocco 10079 8319 214 1.23 2.12 6
## [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 2020-06-22 China Hong Kong 1161 1078 5 30
## 2 2020-06-22 China Beijing 830 584 9 9
## 3 2020-06-22 China Gansu 158 137 2 7
## 4 2020-06-22 China Shanghai 701 669 7 3
## 5 2020-06-22 China Hebei 346 322 6 2
## 6 2020-06-22 China Tianjin 198 191 3 1
## 7 2020-06-22 China Liaoning 154 147 2 1
## 8 2020-06-22 China Shaanxi 317 306 3 1