Ending day prediction of nCoV2019
23/10/2020
options(width = 100)
source('./predict.R')## [1] "2020-10-21"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 India 7705158 6871898 116653 0.73 1.51 85
## 2 United States 8578201 5585208 227301 0.68 2.65 687
## 3 Brazil 5298772 4721593 155402 0.45 2.93 731
## 4 Russia 1447335 1096560 24952 1.10 1.72 171
## 5 Colombia 981700 884895 29464 0.78 3.00 579
## 6 Argentina 1037325 840520 27519 1.80 2.65 609
## 7 Peru 876885 792892 33937 0.32 3.87 1029
## 8 South Africa 708359 641706 18741 0.29 2.65 316
## 9 Mexico 860714 627584 86893 0.00 10.10 674
## 10 Chile 495637 468269 13719 0.23 2.77 718
## 11 Iran 545286 438709 31346 1.04 5.75 373
## 12 Iraq 438265 369010 10418 0.84 2.38 259
## 13 Saudi Arabia 343373 329715 5235 0.12 1.52 150
## 14 Philippines 362243 311506 6747 0.41 1.86 62
## 15 Bangladesh 393131 308845 5723 0.39 1.46 35
## 16 Pakistan 324744 308674 6692 0.21 2.06 30
## 17 Turkey 353426 308446 9513 0.57 2.69 113
## 18 Germany 388309 301489 10041 3.15 2.59 120
## 19 Indonesia 373109 297509 12857 1.16 3.45 47
## 20 Israel 307335 285475 2291 0.38 0.75 265
## 21 Italy 449648 257374 36832 3.50 8.19 609
## 22 Spain 1046641 196958 34366 1.65 3.28 735
## 23 Canada 205749 173392 9824 1.01 4.77 260
## 24 Morocco 182580 151634 3079 2.00 1.69 83
## 25 Romania 191102 137835 6065 2.60 3.17 315
## 26 Ecuador 155625 134187 12453 0.98 8.00 706
## 27 Ukraine 315826 132219 5927 2.17 1.88 136
## 28 Qatar 130210 127093 225 0.20 0.17 78
## 29 United Arab Emirates 119132 111814 472 1.31 0.40 48
## 30 Kuwait 118531 109916 721 0.69 0.61 169
## 31 France 957421 107652 34048 2.87 3.56 522
## 32 Bolivia 140037 105526 8526 0.11 6.09 730
## 33 Kazakhstan 109766 105301 1796 0.13 1.64 96
## 34 Panama 126435 102725 2597 0.55 2.05 602
## 35 Dominican Republic 122398 100051 2206 0.35 1.80 203
## 36 Nepal 144872 99605 791 4.13 0.55 27
## 37 Poland 202579 98884 3851 5.21 1.90 102
## 38 Egypt 105883 98516 6155 0.17 5.81 60
## 39 Oman 111484 97367 1137 0.41 1.02 223
## 40 Guatemala 102415 92149 3567 0.19 3.48 199
## 41 Japan 94626 87107 1687 0.65 1.78 13
## 42 China 91588 86395 4746 0.03 5.18 3
## 43 Czech Republic 208915 83136 1739 7.72 0.83 162
## 44 Belarus 89642 80905 941 0.82 1.05 100
## 45 Venezuela 87644 80316 747 0.00 0.85 26
## 46 Bahrain 78907 75424 308 0.48 0.39 181
## 47 Portugal 106271 63238 2229 2.44 2.10 219
## 48 Uzbekistan 64010 61068 534 0.28 0.83 16
## 49 Costa Rica 99425 60738 1236 1.53 1.24 243
## 50 Singapore 57933 57821 28 0.02 0.05 5
## 51 Nigeria 61667 56880 1125 0.06 1.82 5
## 52 Switzerland 91763 54600 2039 6.49 2.22 236
## 53 Austria 69409 52617 925 2.90 1.33 103
## 54 Moldova 68791 49702 1630 1.23 2.37 404
## 55 Armenia 68530 49219 1121 2.75 1.64 378
## 56 Ghana 47461 46752 312 0.00 0.66 10
## 57 Kyrgyzstan 53459 46444 1118 1.04 2.09 171
## 58 Ethiopia 91118 44506 1384 0.69 1.52 12
## 59 Palestinian Territory 48628 41935 427 1.04 0.88 NA
## 60 Azerbaijan 46593 40448 642 1.56 1.38 63
## 61 Algeria 55081 38482 1880 0.46 3.41 43
## 62 Paraguay 56819 37673 1250 1.33 2.20 175
## 63 Honduras 90232 35930 2582 0.95 2.86 261
## 64 Afghanistan 40510 33824 1501 0.38 3.71 39
## 65 Kenya 46144 32760 858 1.09 1.86 16
## 66 Serbia 37120 31536 781 1.40 2.10 89
## 67 Denmark 36877 30486 688 0.00 1.87 119
## 68 Lebanon 65577 30470 536 1.93 0.82 79
## 69 Libya 51625 28440 765 1.41 1.48 111
## 70 El Salvador 32120 27670 933 0.45 2.90 144
## 71 Bosnia and Herzegovina 36315 25779 1031 2.62 2.84 314
## 72 Australia 27444 25147 905 0.05 3.30 35
## 73 South Korea 25424 23584 450 0.00 1.77 9
## 74 Ireland 53422 23364 1868 2.23 3.50 378
## 75 Belgium 240159 21477 10489 4.20 4.37 905
## 76 Croatia 28287 21435 393 5.30 1.39 96
## 77 Cameroon 21570 20117 425 0.00 1.97 16
## 78 Côte d'Ivoire 20363 20070 121 0.10 0.59 5
## 79 Myanmar 39696 18865 972 3.10 2.45 18
## 80 Republika Severna Makedonija 24836 17905 862 2.65 3.47 NA
## 81 Bulgaria 33335 17598 1048 4.62 3.14 151
## 82 Madagascar 16810 16215 238 0.00 1.42 9
## 83 Zambia 16000 15168 346 0.11 2.16 19
## 84 Malaysia 22957 14931 199 3.29 0.87 6
## 85 Hungary 50180 14905 1259 2.92 2.51 130
## 86 Senegal 15484 13975 321 0.16 2.07 19
## 87 Norway 16964 11863 279 1.14 1.64 51
## 88 Montenegro 16069 11815 250 1.11 1.56 398
## 89 Namibia 12406 10587 133 0.32 1.07 52
## 90 Guinea 11599 10461 70 0.53 0.60 5
## 91 Democratic Republic of the Congo 11066 10362 303 0.00 2.74 NA
## 92 Albania 17948 10341 462 1.68 2.57 161
## 93 Maldives 11316 10284 37 0.40 0.33 68
## 94 French Guiana 10295 9995 69 0.26 0.67 231
## 95 Greece 27334 9989 534 3.27 1.95 51
## 96 Finland 14071 9800 355 1.60 2.52 64
## 97 Tajikistan 10613 9668 80 0.37 0.75 8
## 98 Mozambique 11331 9165 79 1.26 0.70 3
## 99 Georgia 21208 9003 172 6.80 0.81 43
## 100 Luxembourg 11671 8473 138 3.83 1.18 220
## 101 Slovakia 33602 8404 98 7.01 0.29 18
## 102 Jordan 43620 7223 443 6.46 1.02 43
## 103 Uganda 10933 7154 98 1.34 0.90 2
## 104 Slovenia 15982 6922 200 10.43 1.25 96
## 105 Sudan 13724 6764 836 0.00 6.09 19
## 106 Tunisia 45892 5032 740 3.24 1.61 63
## 107 Sweden 107355 4971 5929 0.92 5.52 587
## 108 Puerto Rico 58830 2267 774 0.32 1.32 271
## 109 United Kingdom 789229 1918 44158 3.50 5.60 650
## 110 Netherlands 253134 322 6873 3.58 2.72 401
## [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 2020-10-21 China Hong Kong 5269 5004 105 8
## 2 2020-10-21 China Shanghai 1105 1026 7 8
## 3 2020-10-21 China Guangdong 1895 1848 8 3
## 4 2020-10-21 China Sichuan 733 696 3 2
## 5 2020-10-21 China Taiwan 544 495 7 1
## 6 2020-10-21 China Fujian 419 409 1 1