Ending day prediction of nCoV2019
21/06/2020
source('./predict.R')
## [1] "2020-06-20"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 United States 2299166 956077 121451 1.49 5.28 367
## 2 Brazil 1038568 520360 49090 5.51 4.73 231
## 3 Russia 576952 334592 8002 1.39 1.39 55
## 4 India 400566 216676 13030 4.72 3.25 9
## 5 United Kingdom 301815 1918 42461 0.00 14.07 625
## 6 Spain 292655 196958 28315 0.11 9.68 606
## 7 Peru 247925 135520 7660 1.45 3.09 232
## 8 Italy 238011 181907 34561 -0.06 14.52 572
## 9 Chile 231393 191491 4093 2.79 1.77 214
## 10 Iran 202584 161384 9507 1.16 4.69 113
## 11 Germany 191360 176846 9056 0.49 4.73 108
## 12 Turkey 185245 157516 4905 0.66 2.65 58
## 13 Pakistan 171666 63504 3382 4.00 1.97 15
## 14 Mexico 170485 127332 20394 3.04 11.96 158
## 15 France 159452 74117 29617 0.51 18.57 454
## 16 Saudi Arabia 154233 98917 1230 2.62 0.80 35
## 17 Bangladesh 108775 43993 1425 3.07 1.31 9
## 18 Canada 100629 63003 8346 0.41 8.29 221
## 19 South Africa 87715 47825 1831 4.56 2.09 31
## 20 Qatar 86488 66763 94 1.20 0.11 33
## 21 China 84971 79966 4645 0.03 5.47 3
## 22 Colombia 63276 23988 2045 5.08 3.23 40
## 23 Belgium 60550 16771 9696 0.12 16.01 837
## 24 Belarus 57936 36749 343 1.05 0.59 36
## 25 Sweden 56043 4971 5053 0.00 9.02 500
## 26 Egypt 52211 13928 2017 3.52 3.86 20
## 27 Ecuador 49731 24446 4156 1.29 8.36 236
## 28 Netherlands 49502 322 6089 0.15 12.30 355
## 29 Indonesia 45029 17883 2429 2.80 5.39 9
## 30 United Arab Emirates 44533 31754 301 0.88 0.68 30
## 31 Singapore 41833 33459 26 0.52 0.06 4
## 32 Kuwait 39145 30726 319 1.21 0.81 75
## 33 Portugal 38841 24906 1528 1.97 3.93 150
## 34 Argentina 37510 11851 954 0.00 2.54 21
## 35 Ukraine 35825 16406 994 2.40 2.77 23
## 36 Poland 31620 16181 1436 0.97 4.54 38
## 37 Switzerland 31243 28900 1956 0.08 6.26 226
## 38 Philippines 29400 7650 1150 3.31 3.91 10
## 39 Oman 28566 14780 128 3.24 0.45 25
## 40 Afghanistan 28424 8292 569 1.96 2.00 15
## 41 Iraq 27352 12205 925 6.36 3.38 23
## 42 Ireland 25368 22698 1714 0.05 6.76 347
## 43 Dominican Republic 25068 14605 647 1.72 2.58 60
## 44 Panama 24274 14359 485 3.95 2.00 112
## 45 Romania 23730 16735 1500 1.41 6.32 78
## 46 Bolivia 22476 4670 715 4.54 3.18 61
## 47 Bahrain 20916 15287 59 2.38 0.28 35
## 48 Israel 20339 15586 304 0.47 1.49 35
## 49 Armenia 19708 8854 332 2.88 1.68 112
## 50 Nigeria 19147 6581 487 3.61 2.54 2
## 51 Japan 17881 16077 954 0.68 5.34 8
## 52 Austria 17323 16157 688 0.30 3.97 76
## 53 Kazakhstan 16779 10411 113 2.62 0.67 6
## 54 Moldova 13953 7745 464 6.46 3.33 115
## 55 Ghana 13203 4548 70 2.12 0.53 2
## 56 Serbia 12803 11511 260 0.74 2.03 30
## 57 Denmark 12591 11482 600 1.61 4.77 104
## 58 Guatemala 12509 2419 483 5.40 3.86 27
## 59 South Korea 12373 10856 280 0.54 2.26 5
## 60 Azerbaijan 12238 6516 148 8.02 1.21 15
## 61 Algeria 11504 8196 825 1.05 7.17 19
## 62 Honduras 11258 1214 349 4.83 3.10 35
## 63 Cameroon 10638 7548 282 0.00 2.65 11
## 64 Czech Republic 10406 7473 335 1.20 3.22 31
## [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 2020-06-20 China Beijing 799 584 9 22
## 2 2020-06-20 China Guangdong 1634 1613 8 3
## 3 2020-06-20 China Hebei 341 322 6 1
## 4 2020-06-20 China Shanghai 698 668 7 1
## 5 2020-06-20 China Hong Kong 1128 1077 4 1