Ending day prediction of nCoV2019
30/06/2020
source('./predict.R')
## [1] "2020-06-29"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 United States 2640080 1093927 128461 1.63 4.87 388
## 2 Brazil 1345470 733848 57659 1.99 4.29 271
## 3 Russia 641156 403430 9166 1.06 1.43 63
## 4 India 559910 327561 16757 3.94 2.99 12
## 5 United Kingdom 311965 1918 43575 0.26 13.97 642
## 6 Spain 295850 196958 28343 0.10 9.58 606
## 7 Peru 279419 167998 9317 1.24 3.33 283
## 8 Chile 271982 232210 5509 1.57 2.03 288
## 9 Italy 240310 188891 34738 0.07 14.46 575
## 10 Iran 225205 186180 10670 1.14 4.74 127
## 11 Mexico 216852 126843 26648 1.90 12.29 207
## 12 Pakistan 206512 95407 4167 1.75 2.02 19
## 13 Turkey 197239 170595 5097 0.69 2.58 60
## 14 Germany 195487 180508 9129 0.05 4.67 109
## 15 Saudi Arabia 186436 127118 1599 2.16 0.86 46
## 16 France 162936 75649 29778 0.00 18.28 456
## 17 Bangladesh 141801 57780 1783 2.91 1.26 11
## 18 South Africa 138134 68925 2456 4.81 1.78 41
## 19 Canada 103250 66191 8522 0.28 8.25 226
## 20 Qatar 95106 80170 113 0.73 0.12 39
## 21 Colombia 91769 38280 3106 3.59 3.38 61
## 22 China 85209 80049 4648 0.02 5.45 3
## 23 Egypt 65188 17539 2789 1.98 4.28 27
## 24 Sweden 65137 4971 5280 0.00 8.11 523
## 25 Belarus 61790 45213 387 0.51 0.63 41
## 26 Belgium 61361 16941 9732 0.11 15.86 840
## 27 Argentina 59933 21138 1245 3.79 2.08 28
## 28 Ecuador 55255 27058 4429 1.25 8.02 251
## 29 Indonesia 55092 23800 2805 2.00 5.09 10
## 30 Netherlands 50223 322 6107 0.15 12.16 356
## 31 United Arab Emirates 47797 36411 313 0.92 0.65 32
## 32 Iraq 47151 22974 1839 3.85 3.90 46
## 33 Kuwait 45524 36313 350 1.30 0.77 82
## 34 Singapore 43661 37508 26 0.46 0.06 4
## 35 Ukraine 43628 19027 1147 1.50 2.63 26
## 36 Portugal 41912 27205 1568 1.76 3.74 154
## 37 Oman 39060 22422 169 2.39 0.43 33
## 38 Philippines 36438 9956 1255 2.77 3.44 11
## 39 Poland 34154 20897 1444 0.73 4.23 38
## 40 Panama 31686 15470 604 3.35 1.91 140
## 41 Switzerland 31652 29100 1962 0.11 6.20 227
## 42 Bolivia 31524 8517 1014 2.76 3.22 87
## 43 Dominican Republic 31373 17142 726 2.46 2.31 67
## 44 Afghanistan 31238 13934 733 0.88 2.35 19
## 45 Romania 26582 18912 1634 1.02 6.15 85
## 46 Bahrain 25705 20517 83 1.73 0.32 49
## 47 Ireland 25439 23364 1735 0.01 6.82 351
## 48 Armenia 25127 13297 433 1.96 1.72 146
## 49 Nigeria 24567 9007 565 2.04 2.30 3
## 50 Israel 23989 17114 319 2.09 1.33 37
## 51 Kazakhstan 21327 13008 183 2.63 0.86 10
## 52 Japan 18522 16505 972 0.01 5.25 8
## 53 Honduras 18082 1875 479 6.32 2.65 48
## 54 Austria 17723 16420 703 0.39 3.97 78
## 55 Ghana 17351 12994 112 5.60 0.65 4
## 56 Guatemala 16930 3152 727 3.25 4.29 41
## 57 Azerbaijan 16424 9026 198 3.36 1.21 20
## 58 Moldova 16357 9229 536 0.66 3.28 133
## 59 Serbia 14288 12581 274 1.72 1.92 31
## 60 Algeria 13273 9371 897 2.35 6.76 20
## 61 Nepal 13248 3134 29 3.73 0.22 1
## 62 Denmark 12875 11708 605 0.00 4.70 104
## 63 South Korea 12757 11429 282 0.33 2.21 6
## 64 Cameroon 12592 10100 313 0.00 2.49 12
## 65 Morocco 12248 8790 224 2.19 1.83 6
## 66 Czech Republic 11604 7710 348 2.64 3.00 32
## [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 2020-06-29 China Beijing 912 586 9 7
## 2 2020-06-29 China Hong Kong 1203 1105 7 4
## 3 2020-06-29 China Sichuan 592 577 3 3
## 4 2020-06-29 China Shanghai 708 675 7 1
## 5 2020-06-29 China Gansu 164 143 2 1