source('./predict.R')
## country cum_confirm cum_heal cum_dead inc_rate death_rate
## 1 United States 929028 110504 52371 4.77 5.64
## 2 Spain 223759 95708 22902 1.82 10.24
## 3 Italy 192994 60498 25969 1.59 13.46
## 4 France 159828 43493 22245 0.23 13.92
## 5 Germany 155931 116362 5838 1.41 3.74
## 6 United Kingdom 148377 1918 20319 3.42 13.69
## 7 Turkey 104912 21737 2600 3.07 2.48
## 8 Iran 89328 68193 5650 1.29 6.33
## 9 China 84338 78450 4642 0.02 5.50
## 10 Russia 74588 6250 681 8.69 0.91
## 11 Brazil 54043 27655 3704 7.59 6.85
## 12 Belgium 45327 10417 6917 2.33 15.26
## 13 Canada 44856 15469 2294 3.63 5.11
## 14 Netherlands 37190 322 4409 1.79 11.86
## 15 Switzerland 28894 21000 1593 0.76 5.51
## 16 India 24942 5498 780 6.13 3.13
## 17 Portugal 23392 1277 880 2.61 3.76
## 18 Ecuador 22719 1366 576 103.16 2.54
## 19 Peru 21648 7496 634 3.51 2.93
## 20 Ireland 18184 9233 1014 3.28 5.58
## 21 Sweden 18177 1005 2192 3.47 12.06
## 22 Saudi Arabia 16299 2215 136 7.93 0.83
## 23 Austria 15148 12103 536 0.51 3.54
## 24 Israel 15148 6159 198 1.79 1.31
## 25 Japan 13191 2536 351 3.67 2.66
## 26 Mexico 12872 2627 1221 10.65 9.49
## 27 Singapore 12693 956 12 5.12 0.09
## 28 Chile 12306 6327 174 4.18 1.41
## 29 Pakistan 12227 2755 256 9.61 2.09
## 30 Poland 11067 2126 499 2.86 4.51
## 31 South Korea 10718 8635 240 0.09 2.24
## 32 Romania 10635 2890 575 2.09 5.41
## [1] "leading cum_confirm == 0 trimed"
## [1] "Provinces added more than 0 cases in last 1 days:"
## time country province cum_confirm cum_heal cum_dead suspected
## 1 2020-04-25 China Shaanxi 286 253 3 0
## 2 2020-04-25 China Heilongjiang 935 511 13 0
## 3 2020-04-25 China Inner Mongolia 198 121 1 0
## 4 2020-04-25 China Hong Kong 1037 753 4 0
## 5 2020-04-25 China Shanghai 642 558 7 0
## 6 2020-04-25 China Guangdong 1586 1542 8 0
## 7 2020-04-25 China Taiwan 429 275 6 0
## added
## 1 7
## 2 5
## 3 4
## 4 2
## 5 1
## 6 1
## 7 1