Ending day prediction of nCoV2019
14/06/2020
source('./predict.R')
## [1] "2020-06-13"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 Belgium 59918 16547 9650 0.17 16.11 833
## 2 United Kingdom 292950 1918 41481 0.00 14.16 611
## 3 Spain 290289 196958 27136 0.17 9.35 580
## 4 Italy 236305 173085 34223 0.07 14.48 566
## 5 Sweden 50931 4971 4874 2.51 9.57 483
## 6 France 156287 72572 29374 0.47 18.79 450
## 7 Netherlands 48640 322 6057 0.37 12.45 353
## 8 United States 2117027 841936 116831 1.19 5.52 353
## 9 Ireland 25250 22698 1705 0.05 6.75 345
## 10 Switzerland 31094 28800 1938 0.10 6.23 224
## 11 Ecuador 45778 22679 3828 3.01 8.36 217
## 12 Canada 97898 58490 8048 0.38 8.22 213
## 13 Brazil 831064 427610 41952 3.15 5.05 197
## 14 Peru 220749 107133 6308 2.78 2.86 191
## 15 Chile 160846 131358 2870 4.38 1.78 150
## 16 Portugal 36180 22200 1505 0.00 4.16 148
## 17 Mexico 139196 101767 16448 3.90 11.82 128
## 18 Germany 187982 173590 8955 0.00 4.76 107
## 19 Iran 184955 146748 8730 1.33 4.72 104
## 20 Denmark 12299 11193 597 0.52 4.85 103
## 21 Panama 19211 13759 421 3.36 2.19 98
## 22 Moldova 11093 6229 385 0.00 3.47 95
## 23 Armenia 16004 6081 264 4.73 1.65 89
## 24 Austria 17078 16012 677 0.08 3.96 75
## 25 Romania 21679 15635 1394 1.28 6.43 72
## 26 Kuwait 35466 25882 289 1.47 0.81 68
## 27 Turkey 175218 149102 4778 0.69 2.73 57
## 28 Dominican Republic 22008 12754 568 2.66 2.58 52
## 29 Bolivia 16929 2431 559 4.73 3.30 48
## 30 Russia 520129 274641 6829 1.70 1.31 47
## 31 Israel 18876 15319 300 0.94 1.59 35
## 32 Poland 29017 14104 1237 1.54 4.26 33
## 33 Belarus 53241 29111 303 1.37 0.57 32
## 34 Colombia 46858 18715 1545 3.64 3.30 30
## 35 United Arab Emirates 41990 26761 288 2.45 0.69 29
## 36 Serbia 12175 11348 252 0.00 2.07 29
## 37 Saudi Arabia 119942 81029 893 0.00 0.74 26
## 38 Qatar 78416 55252 70 2.39 0.09 24
## 39 South Africa 61927 35006 1354 5.74 2.19 23
## 40 Bahrain 17713 12191 36 2.57 0.20 21
## 41 Ukraine 30506 13976 880 2.53 2.88 20
## 42 Oman 22077 7530 99 4.77 0.45 19
## 43 Argentina 28764 8743 785 5.08 2.73 17
## 44 Algeria 10698 7322 751 1.03 7.02 17
## 45 Egypt 41303 11108 1422 3.97 3.44 14
## 46 Afghanistan 24102 4201 451 2.36 1.87 12
## 47 Iraq 17770 6868 496 6.57 2.79 12
## 48 Pakistan 132405 50056 2551 5.14 1.93 12
## 49 Philippines 25392 5706 1074 2.44 4.23 10
## 50 Indonesia 37420 13776 2091 2.79 5.59 8
## 51 Bangladesh 84379 17827 1139 3.50 1.35 7
## 52 Japan 17409 15493 925 0.00 5.31 7
## 53 India 310367 155290 8895 2.91 2.87 6
## 54 South Korea 12051 10691 277 0.40 2.30 5
## 55 Kazakhstan 14238 8829 70 2.64 0.49 4
## 56 Singapore 39850 28040 25 0.00 0.06 4
## 57 China 84671 79903 4645 0.01 5.49 3
## 58 Ghana 11118 3979 48 2.41 0.43 2
## 59 Nigeria 15181 4891 399 4.31 2.63 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 2020-06-13 China Beijing 601 584 9 4
## 2 2020-06-13 China Tianjin 196 189 3 1
## 3 2020-06-13 China Shanghai 690 666 7 1
## 4 2020-06-13 China Guangdong 1608 1590 8 1
## 5 2020-06-13 China Hainan 171 162 6 1
## 6 2020-06-13 China Sichuan 583 562 3 1