Ending day prediction of nCoV2019
17/06/2020
source('./predict.R')
## [1] "2020-06-16"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 United States 2183994 890015 118379 0.95 5.42 358
## 2 Brazil 891556 453568 44118 2.73 4.95 208
## 3 Russia 545458 294306 7284 1.54 1.34 50
## 4 India 344788 181202 9926 3.39 2.88 7
## 5 United Kingdom 296857 1918 41736 0.33 14.06 615
## 6 Spain 291189 196958 27136 0.06 9.32 580
## 7 Italy 237290 177010 34371 0.13 14.48 568
## 8 Peru 232992 119409 6860 1.42 2.94 208
## 9 Iran 192439 152675 9065 1.35 4.71 108
## 10 Germany 189243 175154 8980 0.17 4.75 107
## 11 Turkey 179831 152364 4825 0.89 2.68 57
## 12 Chile 179436 148792 3362 2.95 1.87 176
## 13 France 157372 73044 29436 0.10 18.70 451
## 14 Mexico 150264 113006 17580 2.33 11.70 136
## 15 Pakistan 148921 56390 2839 3.08 1.91 13
## 16 Saudi Arabia 136315 89540 1025 3.23 0.75 29
## 17 Canada 99073 60999 8174 0.29 8.25 217
## 18 Bangladesh 94481 36264 1262 4.26 1.34 8
## 19 China 84833 79924 4645 0.06 5.48 3
## 20 Qatar 82077 60461 80 1.48 0.10 28
## 21 South Africa 73533 39867 1568 4.99 2.13 26
## 22 Belgium 60155 16625 9663 0.09 16.06 834
## 23 Belarus 55369 31273 318 1.26 0.57 34
## 24 Sweden 53323 4971 4939 3.31 9.26 489
## 25 Colombia 53063 19952 1726 4.17 3.25 34
## 26 Netherlands 49087 322 6070 0.28 12.37 354
## 27 Ecuador 47322 23349 3929 1.22 8.30 223
## 28 Egypt 44598 11931 1575 0.00 3.53 15
## 29 United Arab Emirates 42982 28861 293 1.63 0.68 30
## 30 Singapore 40969 30366 26 0.37 0.06 4
## 31 Indonesia 40400 15703 2231 2.81 5.52 8
## 32 Portugal 37336 23212 1522 0.81 4.08 149
## 33 Kuwait 36958 28206 303 1.45 0.82 71
## 34 Argentina 32785 10174 862 3.83 2.63 19
## 35 Ukraine 32476 14528 912 2.09 2.81 21
## 36 Switzerland 31146 28900 1939 0.05 6.23 224
## 37 Poland 30195 14654 1272 1.37 4.21 34
## 38 Philippines 26781 6552 1103 1.37 4.12 10
## 39 Afghanistan 26310 5508 491 3.07 1.87 13
## 40 Ireland 25321 22698 1706 0.07 6.74 345
## 41 Oman 25269 11089 114 3.04 0.45 22
## 42 Dominican Republic 23271 14025 605 1.35 2.60 56
## 43 Romania 22415 16071 1437 1.13 6.41 75
## 44 Panama 21422 13766 448 0.02 2.09 104
## 45 Iraq 21315 9271 652 0.00 3.06 16
## 46 Israel 19338 15438 302 1.13 1.56 35
## 47 Bolivia 19073 3113 639 3.33 3.35 55
## 48 Bahrain 19013 13267 47 2.53 0.25 28
## 49 Japan 17644 15686 934 0.24 5.29 7
## 50 Armenia 17489 6571 293 2.49 1.68 99
## 51 Austria 17189 16089 681 0.32 3.96 76
## 52 Nigeria 16658 5349 424 3.56 2.55 2
## 53 Kazakhstan 15192 9388 77 2.59 0.51 4
## 54 Serbia 12426 11511 256 0.48 2.06 29
## 55 Denmark 12417 11290 598 0.19 4.82 103
## 56 South Korea 12155 10760 278 0.28 2.29 5
## 57 Ghana 11964 4258 54 0.00 0.45 2
## 58 Moldova 11879 6901 417 1.18 3.51 103
## 59 Algeria 11031 7735 777 1.03 7.04 18
## 60 Azerbaijan 10324 5739 122 3.69 1.18 12
## 61 Guatemala 10272 1966 399 4.34 3.88 22
## 62 Czech Republic 10066 7300 330 0.39 3.28 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 2020-06-16 China Beijing 700 584 9 27
## 2 2020-06-16 China Hebei 335 322 6 4
## 3 2020-06-16 China Shanghai 695 667 7 3
## 4 2020-06-16 China Guangdong 1628 1592 8 3
## 5 2020-06-16 China Inner Mongolia 238 234 1 1
## 6 2020-06-16 China Liaoning 152 147 2 1
## 7 2020-06-16 China Sichuan 588 563 3 1