Ending day prediction of nCoV2019
02/07/2020
source('./predict.R')
## [1] "2020-07-01"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 United States 2730803 1143688 130134 1.74 4.77 393
## 2 Brazil 1409693 790040 59745 2.67 4.24 281
## 3 United Kingdom 312654 1918 43730 0.22 13.99 644
## 4 Italy 240578 190248 34767 0.06 14.45 575
## 5 France 164801 76274 29843 0.33 18.11 457
## 6 Spain 296351 196958 28355 0.10 9.57 606
## 7 Mexico 226089 134957 27769 2.46 12.28 215
## 8 India 591420 352171 17495 3.11 2.96 13
## 9 Iran 230211 191487 10958 1.12 4.76 130
## 10 Belgium 61509 17021 9754 0.13 15.86 842
## 11 Peru 285213 174535 9677 1.01 3.39 293
## 12 Russia 654405 422931 9536 1.01 1.46 65
## 13 Germany 196032 181196 9146 0.00 4.67 109
## 14 Canada 104204 67592 8591 0.28 8.24 228
## 15 Netherlands 50273 322 6113 0.00 12.16 357
## 16 Chile 279393 241229 5688 1.23 2.04 298
## 17 Sweden 68451 4971 5333 1.16 7.79 528
## 18 Turkey 199906 173111 5131 0.65 2.57 61
## 19 China 85260 80084 4648 0.04 5.45 3
## 20 Ecuador 56432 27594 4527 1.38 8.02 257
## 21 Pakistan 213470 100802 4395 1.97 2.06 20
## 22 Colombia 97846 42073 3334 2.95 3.41 66
## 23 Egypt 68311 18460 2953 2.33 4.32 29
## 24 Indonesia 57770 25595 2934 2.46 5.08 11
## 25 South Africa 151209 73543 2657 4.81 1.76 45
## 26 Iraq 51524 26267 2050 4.92 3.98 51
## 27 Switzerland 31851 29200 1963 0.43 6.16 227
## 28 Bangladesh 149258 62108 1888 2.59 1.26 11
## 29 Ireland 25473 23364 1736 0.04 6.82 352
## 30 Saudi Arabia 194225 132760 1698 1.78 0.87 49
## 31 Romania 27296 19314 1667 1.21 6.11 87
## 32 Portugal 42141 27505 1576 0.00 3.74 155
## 33 Poland 34775 21791 1477 1.11 4.25 39
## 34 Argentina 64530 23040 1310 3.63 2.03 29
## 35 Philippines 38511 10438 1270 2.66 3.30 12
## 36 Ukraine 44998 19548 1173 1.50 2.61 27
## 37 Bolivia 33219 9340 1123 3.41 3.38 96
## 38 Japan 18769 16631 972 0.00 5.18 8
## 39 Algeria 13907 9897 912 2.48 6.56 21
## 40 Afghanistan 31836 15651 774 1.01 2.43 20
## 41 Guatemala 18096 3194 773 3.95 4.27 43
## 42 Dominican Republic 32568 17580 747 2.36 2.29 69
## 43 Austria 17873 16491 705 0.60 3.94 78
## 44 Panama 33550 15745 631 2.33 1.88 146
## 45 Denmark 12951 11812 606 0.00 4.68 105
## 46 Nigeria 25694 9746 590 2.23 2.30 3
## 47 Moldova 16613 9382 545 1.57 3.28 135
## 48 Honduras 19558 2060 497 3.93 2.54 50
## 49 Armenia 26065 14563 453 2.05 1.74 153
## 50 Belarus 62424 47553 398 0.49 0.64 42
## 51 Kuwait 46940 37715 358 1.61 0.76 84
## 52 Czech Republic 11960 7776 349 1.28 2.92 33
## 53 Israel 25547 17389 320 3.48 1.25 37
## 54 United Arab Emirates 48667 37566 315 0.00 0.65 32
## 55 Cameroon 12592 10100 313 0.00 2.49 12
## 56 South Korea 12850 11613 282 0.39 2.19 6
## 57 Serbia 14836 12772 281 1.87 1.89 32
## 58 Morocco 12596 8978 228 1.70 1.81 6
## 59 Azerbaijan 17524 9715 213 0.00 1.22 21
## 60 Kazakhstan 22308 13558 188 2.24 0.84 10
## 61 Oman 41194 24162 185 2.81 0.45 36
## 62 Qatar 96088 81564 113 0.00 0.12 39
## 63 Ghana 17741 13268 112 0.00 0.63 4
## 64 Bahrain 26758 21331 91 1.98 0.34 53
## 65 Nepal 14046 4656 30 3.55 0.21 1
## 66 Singapore 44122 38500 26 0.49 0.06 4
## [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 2020-07-01 China Hong Kong 1233 1117 7 28
## 2 2020-07-01 China Beijing 922 587 9 3