Ending day prediction of nCoV2019
15/06/2020
source('./predict.R')
## [1] "2020-06-14"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 Belgium 60029 16589 9655 0.19 16.08 833
## 2 United Kingdom 295889 1918 41698 1.00 14.09 614
## 3 Spain 290685 196958 27136 0.14 9.34 580
## 4 Italy 236651 174865 34301 0.15 14.49 567
## 5 Sweden 51614 4971 4874 1.34 9.44 483
## 6 France 156813 72808 29398 0.34 18.75 450
## 7 United States 2143648 854106 117555 1.26 5.48 355
## 8 Netherlands 48783 322 6059 0.29 12.42 354
## 9 Ireland 25295 22698 1705 0.18 6.74 345
## 10 Switzerland 31117 28800 1938 0.07 6.23 224
## 11 Ecuador 46356 22865 3874 1.26 8.36 220
## 12 Canada 98410 59353 8107 0.52 8.24 215
## 13 Brazil 851321 437512 42802 2.44 5.03 201
## 14 Peru 220749 107133 6308 0.00 2.86 191
## 15 Chile 167355 137296 3101 4.05 1.85 162
## 16 Portugal 36690 22669 1517 1.41 4.13 149
## 17 Mexico 142690 104975 16872 2.51 11.82 131
## 18 Germany 188600 174271 8966 0.33 4.75 107
## 19 Iran 187427 148674 8837 1.34 4.71 105
## 20 Denmark 12339 11235 597 0.33 4.84 103
## 21 Moldova 11740 6623 406 5.83 3.46 101
## 22 Panama 20059 13759 429 4.41 2.14 99
## 23 Armenia 16667 6214 269 4.14 1.61 91
## 24 Austria 17109 16059 677 0.18 3.96 75
## 25 Romania 21999 15719 1410 1.48 6.41 73
## 26 Kuwait 35920 26759 296 1.28 0.82 69
## 27 Turkey 176677 150087 4792 0.83 2.71 57
## 28 Dominican Republic 22962 13320 592 4.33 2.58 55
## 29 Bolivia 17842 2768 585 5.39 3.28 50
## 30 Russia 528964 274641 6948 1.70 1.31 48
## 31 Israel 19008 15360 300 0.70 1.58 35
## 32 Poland 29392 14226 1247 1.29 4.24 33
## 33 Belarus 53973 30103 303 1.37 0.56 32
## 34 Colombia 48746 19426 1592 4.03 3.27 31
## 35 United Arab Emirates 42294 27462 289 0.72 0.68 29
## 36 Serbia 12310 11348 254 1.11 2.06 29
## 37 Saudi Arabia 127541 84720 972 6.34 0.76 28
## 38 Qatar 79602 56898 73 1.51 0.09 25
## 39 South Africa 65736 36850 1423 6.15 2.16 24
## 40 Bahrain 18227 12818 39 2.90 0.21 23
## 41 Oman 23481 8454 104 6.36 0.44 20
## 42 Ukraine 31154 14082 889 2.12 2.85 20
## 43 Argentina 30295 9083 819 5.32 2.70 18
## 44 Algeria 10810 7420 760 1.05 7.03 17
## 45 Egypt 42980 11529 1484 4.06 3.45 15
## 46 Iraq 20209 8121 607 13.73 3.00 15
## 47 Afghanistan 24766 4725 471 2.75 1.90 12
## 48 Pakistan 139230 51735 2632 5.15 1.89 12
## 49 Philippines 25930 5954 1088 2.12 4.20 10
## 50 Indonesia 38277 14531 2134 2.29 5.58 8
## 51 Bangladesh 87520 18730 1171 3.72 1.34 7
## 52 India 324482 164530 9247 4.55 2.85 7
## 53 Japan 17529 15643 927 0.69 5.29 7
## 54 South Korea 12085 10718 277 0.28 2.29 5
## 55 Kazakhstan 14496 9056 70 1.81 0.48 4
## 56 Singapore 40604 28808 25 1.89 0.06 4
## 57 China 84739 79912 4645 0.08 5.48 3
## 58 Ghana 11422 4156 51 2.73 0.45 2
## 59 Nigeria 15682 5101 407 3.30 2.60 2
## [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 2020-06-14 China Beijing 645 584 9 44
## 2 2020-06-14 China Guangdong 1625 1590 8 17
## 3 2020-06-14 China Liaoning 151 147 2 2
## 4 2020-06-14 China Shaanxi 313 306 3 2
## 5 2020-06-14 China Shanghai 691 667 7 1
## 6 2020-06-14 China Chongqing 580 573 6 1
## 7 2020-06-14 China Hong Kong 1109 1061 4 1