Ending day prediction of nCoV2019
01/07/2020
source('./predict.R')
## [1] "2020-06-30"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 Belgium 61427 16941 9747 0.11 15.87 841
## 2 United Kingdom 311965 1918 43575 0.00 13.97 642
## 3 Spain 296050 196958 28346 0.07 9.57 606
## 4 Italy 240436 189196 34744 0.05 14.45 575
## 5 Sweden 67667 4971 5310 3.88 7.85 526
## 6 France 164260 75649 29813 0.81 18.15 457
## 7 United States 2684231 1122598 128857 1.67 4.80 389
## 8 Netherlands 50273 322 6113 0.10 12.16 357
## 9 Ireland 25462 23364 1735 0.09 6.81 351
## 10 Chile 275999 236154 5575 1.48 2.02 292
## 11 Peru 282365 171159 9504 1.05 3.37 288
## 12 Brazil 1373006 757462 58406 2.05 4.25 275
## 13 Ecuador 55665 27430 4502 0.74 8.09 255
## 14 Canada 103918 67178 8566 0.65 8.24 227
## 15 Switzerland 31714 29100 1963 0.20 6.19 227
## 16 Mexico 220657 131264 27121 1.75 12.29 210
## 17 Portugal 42141 27505 1576 0.55 3.74 155
## 18 Armenia 25542 14048 443 1.65 1.73 149
## 19 Panama 32785 15595 620 3.47 1.89 144
## 20 Moldova 16357 9382 541 0.00 3.31 134
## 21 Iran 227662 188758 10817 1.09 4.75 129
## 22 Germany 196032 181196 9146 0.28 4.67 109
## 23 Denmark 12951 11812 605 0.59 4.67 104
## 24 Bolivia 32125 8928 1071 1.91 3.33 92
## 25 Romania 26970 19050 1651 1.46 6.12 86
## 26 Kuwait 46195 37030 354 1.47 0.77 83
## 27 Austria 17766 16478 705 0.24 3.97 78
## 28 Dominican Republic 31816 17280 733 1.41 2.30 68
## 29 Russia 647849 412650 9320 1.04 1.44 64
## 30 Colombia 95043 39954 3223 3.57 3.39 63
## 31 Turkey 198613 171809 5115 0.70 2.58 61
## 32 Bahrain 26239 20928 86 2.08 0.33 51
## 33 Honduras 18818 1961 485 4.07 2.58 49
## 34 Iraq 49109 24760 1943 4.15 3.96 48
## 35 Saudi Arabia 190823 130766 1649 2.35 0.86 47
## 36 South Africa 144264 70614 2529 4.44 1.75 43
## 37 Guatemala 17409 3170 746 2.83 4.29 42
## 38 Belarus 62118 46054 392 0.53 0.63 41
## 39 Poland 34393 21281 1463 0.70 4.25 39
## 40 Qatar 96088 81564 113 1.03 0.12 39
## 41 Israel 24688 17272 320 2.91 1.30 37
## 42 Oman 40070 23425 176 2.59 0.44 34
## 43 Czech Republic 11809 7751 349 1.77 2.96 33
## 44 United Arab Emirates 48667 37566 315 1.82 0.65 32
## 45 Serbia 14564 12662 277 1.93 1.90 32
## 46 Argentina 62268 22028 1283 3.90 2.06 28
## 47 Egypt 66754 17951 2872 2.40 4.30 28
## 48 Ukraine 44334 19115 1159 1.62 2.61 27
## 49 Azerbaijan 17524 9715 213 6.70 1.22 21
## 50 Algeria 13571 9674 905 2.25 6.67 21
## 51 Afghanistan 31517 14131 746 0.89 2.37 19
## 52 Pakistan 209337 98503 4304 1.37 2.06 19
## 53 Cameroon 12592 10100 313 0.00 2.49 12
## 54 India 573598 339125 17008 2.44 2.97 12
## 55 Philippines 37514 10233 1266 2.95 3.37 12
## 56 Bangladesh 145483 59624 1847 2.60 1.27 11
## 57 Indonesia 56385 24806 2876 2.35 5.10 11
## 58 Kazakhstan 21819 13008 183 2.31 0.84 10
## 59 Japan 18769 16631 972 1.33 5.18 8
## 60 South Korea 12800 11537 282 0.34 2.20 6
## 61 Morocco 12385 8839 225 1.12 1.82 6
## 62 Ghana 17741 13268 112 2.25 0.63 4
## 63 Singapore 43907 37985 26 0.56 0.06 4
## 64 China 85229 80060 4648 0.02 5.45 3
## 65 Nigeria 25133 9402 573 2.30 2.28 3
## 66 Nepal 13564 3194 29 2.39 0.21 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 2020-06-30 China Beijing 919 587 9 7
## 2 2020-06-30 China Shanghai 712 675 7 4
## 3 2020-06-30 China Guangdong 1641 1627 8 4
## 4 2020-06-30 China Sichuan 595 578 3 3
## 5 2020-06-30 China Hong Kong 1205 1107 7 2