Ending day prediction of nCoV2019
15/06/2020
source('./predict.R')
## [1] "2020-06-15"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 Belgium 60100 16610 9661 0.12 16.07 834
## 2 United Kingdom 295889 1918 41698 0.00 14.09 614
## 3 Spain 291008 196958 27136 0.11 9.32 580
## 4 Italy 236989 176370 34345 0.14 14.49 568
## 5 Sweden 51614 4971 4874 0.00 9.44 483
## 6 France 157220 72859 29407 0.26 18.70 451
## 7 United States 2163338 870077 117875 0.92 5.45 356
## 8 Netherlands 48948 322 6065 0.34 12.39 354
## 9 Ireland 25303 22698 1706 0.03 6.74 345
## 10 Switzerland 31131 28800 1938 0.04 6.23 224
## 11 Ecuador 46751 23064 3896 0.85 8.33 221
## 12 Canada 98787 60272 8146 0.38 8.25 216
## 13 Brazil 867882 437512 43389 1.95 5.00 204
## 14 Peru 229736 115579 6688 4.07 2.91 203
## 15 Chile 174293 143704 3323 4.15 1.91 174
## 16 Portugal 37036 22852 1520 0.94 4.10 149
## 17 Mexico 146837 108110 17141 2.91 11.67 133
## 18 Germany 188917 174743 8972 0.17 4.75 107
## 19 Iran 189876 150590 8950 1.31 4.71 107
## 20 Denmark 12393 11268 597 0.44 4.82 103
## 21 Moldova 11740 6794 408 0.00 3.48 101
## 22 Panama 21418 13766 437 6.78 2.04 101
## 23 Armenia 17064 6276 285 2.38 1.67 96
## 24 Austria 17135 16066 678 0.15 3.96 75
## 25 Romania 22165 15817 1427 0.75 6.44 74
## 26 Kuwait 36431 27531 298 1.42 0.82 70
## 27 Turkey 178239 151417 4807 0.88 2.70 57
## 28 Dominican Republic 22962 13320 592 0.00 2.58 55
## 29 Bolivia 18459 3113 611 3.46 3.31 52
## 30 Russia 537210 284539 7091 1.56 1.32 49
## 31 Israel 19121 15389 302 0.59 1.58 35
## 32 Belarus 54680 30420 312 1.31 0.57 33
## 33 Colombia 50939 19822 1667 4.50 3.27 33
## 34 Poland 29788 14383 1256 1.35 4.22 33
## 35 Czech Republic 10027 7245 330 0.85 3.29 31
## 36 United Arab Emirates 42294 27462 289 0.00 0.68 29
## 37 Serbia 12367 11511 255 0.46 2.06 29
## 38 Saudi Arabia 132048 87890 1011 3.53 0.77 29
## 39 Bahrain 18544 13197 45 1.74 0.24 26
## 40 Qatar 80876 58681 76 1.60 0.09 26
## 41 South Africa 70038 38531 1480 6.54 2.11 25
## 42 Oman 24524 9533 108 4.44 0.44 21
## 43 Ukraine 31810 14253 901 2.11 2.83 21
## 44 Argentina 31577 9891 842 4.23 2.67 19
## 45 Algeria 10919 7606 767 1.01 7.02 17
## 46 Iraq 21315 9271 652 5.47 3.06 16
## 47 Egypt 44598 11931 1575 3.76 3.53 15
## 48 Afghanistan 25527 5164 476 3.07 1.86 12
## 49 Pakistan 144478 53721 2729 3.77 1.89 12
## 50 Philippines 26420 6252 1098 1.89 4.16 10
## 51 Indonesia 39294 15123 2198 2.66 5.59 8
## 52 Bangladesh 90619 18730 1209 3.54 1.33 7
## 53 India 333475 169987 9524 2.77 2.86 7
## 54 Japan 17601 15643 929 0.41 5.28 7
## 55 South Korea 12121 10730 277 0.30 2.29 5
## 56 Kazakhstan 14809 9188 77 2.16 0.52 4
## 57 Singapore 40818 29589 26 0.53 0.06 4
## 58 China 84784 79915 4645 0.05 5.48 3
## 59 Ghana 11964 4258 54 4.75 0.45 2
## 60 Nigeria 16085 5220 420 2.57 2.61 2
## [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 2020-06-15 China Beijing 673 584 9 28
## 2 2020-06-15 China Sichuan 587 563 3 4
## 3 2020-06-15 China Hebei 331 322 6 3
## 4 2020-06-15 China Hong Kong 1112 1067 4 3
## 5 2020-06-15 China Chongqing 582 573 6 2
## 6 2020-06-15 China Taiwan 445 433 7 2
## 7 2020-06-15 China Shanghai 692 667 7 1
## 8 2020-06-15 China Fujian 362 356 1 1