Ending day prediction of nCoV2019
22/06/2020
source('./predict.R')
## [1] "2020-06-21"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 Belgium 60550 16771 9696 0.00 16.01 837
## 2 United Kingdom 304331 1918 42632 0.83 14.01 628
## 3 Spain 293018 196958 28322 0.12 9.67 606
## 4 Italy 238275 182453 34610 0.11 14.53 572
## 5 Sweden 56043 4971 5053 0.00 9.02 500
## 6 France 160093 74312 29633 0.40 18.51 454
## 7 United States 2332056 973061 122020 1.43 5.23 369
## 8 Netherlands 49593 322 6090 0.18 12.28 355
## 9 Ireland 25374 22698 1715 0.02 6.76 347
## 10 Peru 251338 138763 7861 1.38 3.13 238
## 11 Brazil 1070139 543186 50058 3.04 4.68 236
## 12 Ecuador 49731 24446 4156 0.00 8.36 236
## 13 Switzerland 31292 28900 1956 0.16 6.25 226
## 14 Chile 236748 196609 4295 2.31 1.81 225
## 15 Canada 101019 63488 8410 0.39 8.33 223
## 16 Mexico 175202 131686 20781 2.77 11.86 161
## 17 Portugal 39133 25376 1530 0.75 3.91 150
## 18 Armenia 20268 9002 350 2.84 1.73 118
## 19 Iran 204952 163591 9623 1.17 4.70 115
## 20 Moldova 13953 7896 465 0.00 3.33 115
## 21 Panama 25222 14359 493 3.91 1.95 114
## 22 Germany 191646 177033 9061 0.15 4.73 108
## 23 Denmark 12591 11482 600 0.00 4.77 104
## 24 Romania 24045 16911 1512 1.33 6.29 79
## 25 Austria 17341 16197 690 0.10 3.98 77
## 26 Kuwait 39650 31240 326 1.29 0.82 76
## 27 Bolivia 23512 5086 740 4.61 3.15 63
## 28 Dominican Republic 25778 14957 655 2.83 2.54 60
## 29 Turkey 186493 158828 4927 0.67 2.64 58
## 30 Russia 584680 339711 8111 1.34 1.39 56
## 31 Colombia 65633 25499 2126 3.72 3.24 42
## 32 Poland 31931 16683 1436 0.98 4.50 38
## 33 Belarus 58505 37666 346 0.98 0.59 37
## 34 Bahrain 21331 15790 61 1.98 0.29 36
## 35 Honduras 12306 1275 358 9.31 2.91 36
## 36 Saudi Arabia 157612 101130 1267 2.19 0.80 36
## 37 Israel 20686 15664 305 1.71 1.47 35
## 38 Qatar 87369 68319 98 1.02 0.11 34
## 39 South Africa 92681 50326 1877 5.66 2.03 32
## 40 Czech Republic 10448 7477 336 0.40 3.22 31
## 41 United Arab Emirates 44533 31754 301 0.00 0.68 30
## 42 Serbia 12894 11947 261 0.71 2.02 30
## 43 Guatemala 12755 2558 514 1.97 4.03 29
## 44 Oman 29471 15552 131 3.17 0.44 26
## 45 Iraq 29222 13211 1013 6.84 3.47 25
## 46 Ukraine 36560 16509 1002 2.05 2.74 23
## 47 Argentina 41204 12728 1000 9.85 2.43 22
## 48 Egypt 53758 14327 2106 2.96 3.92 21
## 49 Algeria 11631 8324 837 1.10 7.20 19
## 50 Pakistan 176617 67892 3501 2.88 1.98 16
## 51 Afghanistan 28833 8764 581 1.44 2.02 15
## 52 Azerbaijan 12238 6516 148 0.00 1.21 15
## 53 Cameroon 11610 7702 301 9.14 2.59 11
## 54 Philippines 30052 7893 1169 2.22 3.89 11
## 55 India 419392 232606 13417 4.70 3.20 10
## 56 Bangladesh 112306 45077 1464 3.25 1.30 9
## 57 Indonesia 45891 18404 2465 1.91 5.37 9
## 58 Japan 17937 16077 955 0.31 5.32 8
## 59 Kazakhstan 17225 10671 118 2.66 0.69 6
## 60 South Korea 12421 10868 280 0.39 2.25 5
## 61 Singapore 42095 34224 26 0.63 0.06 4
## 62 China 85002 79970 4646 0.04 5.47 3
## 63 Ghana 13717 10074 85 3.89 0.62 3
## 64 Nigeria 19808 6718 506 3.45 2.55 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 2020-06-21 China Beijing 821 584 9 22
## 2 2020-06-21 China Hebei 344 322 6 3
## 3 2020-06-21 China Hong Kong 1131 1078 5 3
## 4 2020-06-21 China Shaanxi 316 306 3 2
## 5 2020-06-21 China Fujian 363 357 1 1