source('./predict.R')
## [1] "2020-08-21"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Belgium 80178 18131 9976 0.88 12.44 861
## 2 Peru 567059 380730 27034 1.55 4.77 820
## 3 Spain 404229 196958 28813 4.19 7.13 616
## 4 United Kingdom 322280 1918 41403 0.37 12.85 610
## 5 Italy 256118 204686 35418 0.33 13.83 586
## 6 Sweden 86068 4971 5810 0.30 6.75 575
## 7 Chile 391849 366063 10671 0.46 2.72 558
## 8 United States 5747544 3096317 177456 0.78 3.09 536
## 9 Brazil 3505097 2653407 112423 1.29 3.21 529
## 10 France 229814 84065 30480 2.12 13.26 467
## 11 Mexico 543806 371638 59106 1.26 10.87 458
## 12 Panama 83855 59174 1844 0.12 2.20 427
## 13 Bolivia 106065 41111 4305 0.97 4.06 369
## 14 Netherlands 65589 322 6195 0.82 9.45 362
## 15 Ireland 27676 23364 1776 0.47 6.42 360
## 16 Ecuador 105508 87660 6200 0.99 5.88 351
## 17 Colombia 513719 339124 16183 2.30 3.15 318
## 18 Armenia 42477 35693 842 0.37 1.98 284
## 19 Iran 354764 305866 20376 0.63 5.74 243
## 20 Canada 123873 110288 9054 0.31 7.31 240
## 21 Switzerland 39332 33900 1998 0.78 5.08 231
## 22 Kyrgyzstan 42703 35831 1498 0.46 3.51 230
## 23 Moldova 31937 21885 921 1.66 2.88 228
## 24 South Africa 599940 497169 12618 0.65 2.10 213
## 25 Portugal 54992 40264 1788 0.00 3.25 175
## 26 Romania 76355 34523 3196 1.86 4.19 166
## 27 Honduras 52819 8082 1619 1.00 3.07 163
## 28 Bosnia and Herzegovina 17396 11157 526 2.16 3.02 160
## 29 Iraq 192797 137200 6208 0.00 3.22 154
## 30 Argentina 320884 233651 6517 2.63 2.03 144
## 31 Guatemala 65983 54351 2506 1.70 3.80 140
## 32 Dominican Republic 89010 57734 1505 1.00 1.69 139
## 33 Puerto Rico 28143 2267 367 0.00 1.30 128
## 34 Kuwait 79269 71264 511 0.64 0.64 120
## 35 Oman 83769 78386 609 0.00 0.73 119
## 36 Germany 231500 208013 9416 0.61 4.07 112
## 37 Russia 946976 761330 16189 0.52 1.71 111
## 38 Denmark 16453 14057 621 0.72 3.77 107
## 39 Bahrain 48303 44628 179 0.74 0.37 105
## 40 Saudi Arabia 305186 277067 3580 0.40 1.17 103
## 41 El Salvador 24200 11781 646 0.98 2.67 100
## 42 Israel 99599 74579 795 1.06 0.80 92
## 43 Austria 24762 21260 730 1.35 2.95 81
## 44 Serbia 30209 27908 689 0.00 2.28 79
## 45 Bulgaria 14962 10087 532 0.96 3.56 77
## 46 Kazakhstan 104071 87920 1415 0.25 1.36 75
## 47 Turkey 254520 234797 6058 0.56 2.38 72
## 48 Belarus 70111 68256 632 0.44 0.90 67
## 49 Qatar 116481 113216 193 0.22 0.17 67
## 50 Costa Rica 31075 9939 333 2.19 1.07 65
## 51 Egypt 97025 63462 5212 0.11 5.37 51
## 52 Poland 60281 41029 1938 1.52 3.21 51
## 53 Azerbaijan 34759 32511 510 0.00 1.47 50
## 54 Ukraine 100643 51078 2207 2.14 2.19 50
## 55 Norway 10197 9150 264 0.34 2.59 49
## 56 India 2915015 2165682 55066 1.98 1.89 40
## 57 Czech Republic 21045 15886 406 1.19 1.93 38
## 58 United Arab Emirates 65802 58153 369 0.00 0.56 37
## 59 Afghanistan 37894 28016 1385 0.10 3.65 36
## 60 Algeria 40258 28281 1411 1.03 3.50 32
## 61 Pakistan 291588 273579 6219 0.22 2.13 28
## 62 Philippines 182365 114519 2940 2.44 1.61 27
## 63 Indonesia 149408 102991 6500 1.49 4.35 24
## 64 Paraguay 11817 6783 170 6.14 1.44 24
## 65 Bangladesh 290360 172615 3861 0.83 1.33 23
## 66 Morocco 47638 32806 775 2.86 1.63 21
## 67 Australia 24407 18460 472 0.71 1.93 19
## 68 Sudan 12623 6476 812 0.33 6.43 19
## 69 Lebanon 10952 3040 113 5.85 1.03 17
## 70 Senegal 12689 8165 262 1.04 2.06 16
## 71 Cameroon 18762 16540 408 0.74 2.17 15
## 72 Zambia 10372 9126 274 1.51 2.64 15
## 73 Venezuela 37567 26330 311 1.90 0.83 11
## 74 Kenya 31441 17869 516 1.37 1.64 10
## 75 Japan 61065 46467 1175 -3.53 1.92 9
## 76 Ghana 43260 41276 261 0.00 0.60 8
## 77 Uzbekistan 37825 33442 256 0.74 0.68 8
## 78 South Korea 16670 14120 309 1.98 1.85 6
## 79 Madagascar 14218 13206 178 0.45 1.25 6
## 80 Ethiopia 35836 13536 620 5.22 1.73 5
## 81 Nigeria 50964 37569 992 0.94 1.95 5
## 82 Nepal 30483 18214 137 2.83 0.45 5
## 83 Singapore 56216 53119 27 0.21 0.05 5
## 84 Côte d'Ivoire 17249 14611 112 0.10 0.65 4
## 85 China 90080 84246 4716 0.05 5.24 3
## 86 Republika Severna Makedonija 13194 9752 554 0.00 4.20 NA
## 87 Palestinian Territory 17989 10682 120 0.00 0.67 NA
## [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 2020-08-21 China Hong Kong 4631 3900 75 27
## 2 2020-08-21 China Shanghai 862 783 7 11
## 3 2020-08-21 China Shandong 827 794 7 3
## 4 2020-08-21 China Jiangsu 665 656 0 1
## 5 2020-08-21 China Sichuan 628 610 3 1