Ending day prediction of nCoV2019
06/08/2020
source('./predict.R')
## [1] "2020-08-05"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 4920917 2483162 160372 1.17 3.26 485
## 2 Brazil 2808076 1970767 96096 2.05 3.42 452
## 3 Mexico 449961 300254 48869 1.39 10.86 379
## 4 United Kingdom 307184 1918 46299 0.51 15.07 682
## 5 India 1926642 1298528 40081 3.25 2.08 29
## 6 Italy 248419 200766 35171 0.08 14.16 582
## 7 France 192334 82166 30296 0.54 15.75 464
## 8 Spain 349894 196958 28498 1.67 8.14 610
## 9 Peru 439890 302457 20007 1.57 4.55 607
## 10 Iran 317483 274932 17802 0.86 5.61 212
## 11 Russia 866627 669026 14490 0.60 1.67 99
## 12 Colombia 334979 180258 11315 2.17 3.38 222
## 13 Belgium 70648 17639 9852 0.48 13.95 850
## 14 Chile 362962 336330 9745 0.41 2.68 510
## 15 Germany 213520 198752 9330 0.43 4.37 111
## 16 Canada 117792 102450 8958 0.65 7.60 237
## 17 South Africa 521318 363751 8884 0.86 1.70 150
## 18 Netherlands 56381 322 6153 0.76 10.91 359
## 19 Pakistan 281136 254286 6014 0.24 2.14 27
## 20 Ecuador 87963 70985 5808 1.06 6.60 329
## 21 Turkey 234934 218491 5765 0.46 2.45 68
## 22 Sweden 81540 4971 5760 0.44 7.06 570
## 23 Indonesia 116871 73889 5452 1.58 4.66 20
## 24 Iraq 137556 98442 5094 2.10 3.70 127
## 25 Egypt 94752 45569 4912 0.12 5.18 48
## 26 China 88767 81860 4684 0.13 5.28 3
## 27 Argentina 213535 96948 4009 3.29 1.88 89
## 28 Bolivia 83361 25390 3320 1.85 3.98 284
## 29 Bangladesh 246674 141750 3267 1.09 1.32 20
## 30 Saudi Arabia 282824 245314 3020 0.49 1.07 87
## 31 Romania 56550 28584 2521 2.37 4.46 131
## 32 Philippines 115980 66270 2123 3.01 1.83 19
## 33 Guatemala 53509 41199 2072 3.82 3.87 116
## 34 Switzerland 35746 31600 1981 0.00 5.54 229
## 35 Ukraine 75490 41527 1788 1.71 2.37 41
## 36 Ireland 26253 23364 1763 0.17 6.72 357
## 37 Poland 48789 35321 1756 1.33 3.60 46
## 38 Portugal 51848 37565 1740 0.32 3.36 171
## 39 Panama 69424 43330 1522 1.41 2.19 353
## 40 Kyrgyzstan 38110 29513 1438 1.52 3.77 220
## 41 Honduras 44299 5921 1400 1.15 3.16 141
## 42 Afghanistan 36829 25742 1294 0.22 3.51 33
## 43 Algeria 32504 22375 1248 1.66 3.84 28
## 44 Dominican Republic 74295 38824 1213 1.61 1.63 112
## 45 Kazakhstan 94882 67031 1058 1.13 1.12 56
## 46 Japan 42804 28028 1028 6.43 2.40 8
## 47 Nigeria 44433 31851 910 0.69 2.05 4
## 48 Moldova 26222 18167 823 2.90 3.14 204
## 49 Armenia 39586 30850 770 0.73 1.95 260
## 50 Sudan 11780 6194 763 0.00 6.48 17
## 51 Austria 21566 19464 719 0.40 3.33 80
## 52 Denmark 14314 12920 616 0.55 4.30 106
## 53 Serbia 27033 14047 614 1.10 2.27 70
## 54 Belarus 68376 63425 577 0.18 0.84 61
## 55 Israel 76763 51331 564 2.24 0.73 65
## 56 Republika Severna Makedonija 11289 7221 511 0.78 4.53 NA
## 57 El Salvador 18701 9111 498 4.81 2.66 77
## 58 Azerbaijan 33103 28840 476 0.59 1.44 47
## 59 Kuwait 69425 60906 468 0.95 0.67 110
## 60 Oman 79159 61421 421 0.00 0.53 82
## 61 Morocco 27217 19629 417 3.90 1.53 11
## 62 Bulgaria 12414 6964 415 2.10 3.34 60
## 63 Cameroon 17718 15320 391 2.68 2.21 15
## 64 Kenya 23873 9930 391 5.65 1.64 7
## 65 Czech Republic 17286 11812 383 1.63 2.22 36
## 66 Bosnia and Herzegovina 13138 6839 379 2.19 2.88 116
## 67 United Arab Emirates 61606 55385 353 0.41 0.57 36
## 68 Ethiopia 19877 8240 343 3.05 1.73 3
## 69 South Korea 14456 13406 302 0.24 2.09 6
## 70 Australia 19444 10799 247 3.81 1.27 10
## 71 Puerto Rico 19651 0 246 4.58 1.25 86
## 72 Senegal 10538 6988 218 1.02 2.07 13
## 73 Ghana 39075 35563 199 3.34 0.51 6
## 74 Venezuela 21438 11875 187 3.30 0.87 7
## 75 Costa Rica 19837 6590 181 2.24 0.91 36
## 76 Qatar 111538 108254 177 0.00 0.16 61
## 77 Uzbekistan 27554 18682 169 2.80 0.61 5
## 78 Bahrain 42132 39335 153 0.71 0.36 90
## 79 Madagascar 12222 9798 127 2.75 1.04 5
## 80 Côte d'Ivoire 16293 11955 103 0.45 0.63 4
## 81 Palestinian Territory 13065 6618 89 2.31 0.68 NA
## 82 Nepal 21390 15156 60 1.81 0.28 2
## 83 Singapore 54254 47454 27 1.70 0.05 5
## [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 2020-08-05 China Hong Kong 3754 2314 43 85
## 2 2020-08-05 China Xinjiang 746 132 3 22
## 3 2020-08-05 China Shanghai 752 727 7 2
## 4 2020-08-05 China Taiwan 476 443 7 2
## 5 2020-08-05 China Beijing 934 919 9 1
## 6 2020-08-05 China Sichuan 610 598 3 1
## 7 2020-08-05 China Shaanxi 327 318 3 1