Ending day prediction of nCoV2019
19/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-11-17"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 11540461 7021101 252684 0.24 2.19 763
## 2 India 8874918 8290370 130577 0.01 1.47 95
## 3 Brazil 5876740 5322406 166067 0.00 2.83 781
## 4 France 1991233 140880 45054 0.00 2.26 690
## 5 Russia 1971013 1475904 33931 1.15 1.72 233
## 6 Spain 1521899 196958 41253 0.00 2.71 882
## 7 United Kingdom 1390681 1918 52147 0.00 3.75 768
## 8 Argentina 1318384 1140196 35727 0.00 2.71 790
## 9 Italy 1205881 442364 45733 0.00 3.79 756
## 10 Colombia 1205217 1111867 34223 0.00 2.84 673
## 11 Mexico 1009396 754200 98861 0.29 9.79 767
## 12 Peru 938268 865348 35271 0.00 3.76 1070
## 13 Germany 819912 530046 12938 1.79 1.58 154
## 14 Iran 788473 570774 42461 1.72 5.39 506
## 15 Poland 752940 324282 10848 2.61 1.44 287
## 16 South Africa 752269 695496 20314 0.00 2.70 343
## 17 Ukraine 557657 250983 9856 2.19 1.77 225
## 18 Belgium 537871 33032 14616 0.36 2.72 1261
## 19 Chile 532604 508067 14863 0.00 2.79 778
## 20 Iraq 521542 449565 11712 0.00 2.25 291
## 21 Indonesia 474455 398636 15393 0.81 3.24 56
## 22 Czech Republic 465523 341249 6416 0.74 1.38 599
## 23 Netherlands 452701 322 8530 0.00 1.88 498
## 24 Bangladesh 436684 352895 6254 0.51 1.43 38
## 25 Turkey 417594 356375 11601 0.00 2.78 138
## 26 Philippines 410718 374543 7862 0.28 1.91 72
## 27 Romania 373474 253244 9261 2.26 2.48 481
## 28 Pakistan 361082 324834 7193 0.57 1.99 33
## 29 Saudi Arabia 353556 340668 5676 0.00 1.61 163
## 30 Israel 325143 314270 2736 0.12 0.84 316
## 31 Canada 302192 240287 11027 1.14 3.65 292
## 32 Morocco 296189 243359 4850 0.00 1.64 131
## 33 Switzerland 274534 169100 3597 1.69 1.31 416
## 34 Portugal 225672 142155 3472 3.85 1.54 341
## 35 Austria 214597 136487 1945 2.87 0.91 216
## 36 Nepal 211475 179242 1247 0.24 0.59 43
## 37 Ecuador 180676 160639 13016 0.00 7.20 738
## 38 Sweden 177355 4971 6164 0.00 3.48 610
## 39 Hungary 152659 34185 3281 3.53 2.15 340
## 40 United Arab Emirates 151554 143932 534 0.00 0.35 54
## 41 Jordan 149539 10311 1843 0.00 1.23 181
## 42 Panama 147667 126746 2881 0.69 1.95 668
## 43 Bolivia 143371 117454 8859 0.09 6.18 759
## 44 Kuwait 137885 129041 848 0.40 0.62 199
## 45 Qatar 136222 133217 235 0.14 0.17 82
## 46 Dominican Republic 134203 110381 2286 0.00 1.70 211
## 47 Costa Rica 124592 77164 1566 1.11 1.26 307
## 48 Kazakhstan 121653 110382 1899 0.50 1.56 101
## 49 Japan 121335 104637 1920 1.41 1.58 15
## 50 Oman 120718 111446 1350 0.00 1.12 264
## 51 Armenia 118870 78343 1811 0.83 1.52 611
## 52 Belarus 115448 96462 1053 0.00 0.91 111
## 53 Guatemala 115032 104786 3938 0.00 3.42 220
## 54 Egypt 111009 101179 6465 0.00 5.82 63
## 55 Lebanon 106446 61263 827 0.00 0.78 121
## 56 Honduras 103239 44915 2839 0.13 2.75 287
## 57 Ethiopia 103056 64130 1581 0.00 1.53 14
## 58 Bulgaria 101770 30317 2282 0.00 2.24 328
## 59 Venezuela 97739 92767 855 0.40 0.87 30
## 60 China 92490 87208 4749 0.02 5.13 3
## 61 Moldova 89843 71874 2035 0.00 2.27 504
## 62 Slovakia 88602 33906 557 1.52 0.63 102
## 63 Croatia 87464 70980 1113 2.27 1.27 271
## 64 Serbia 87381 31536 1030 0.00 1.18 118
## 65 Georgia 85952 68929 778 3.76 0.91 195
## 66 Bahrain 84882 82680 337 0.00 0.40 198
## 67 Tunisia 81003 55551 2396 0.00 2.96 203
## 68 Puerto Rico 79634 35472 942 1.18 1.18 329
## 69 Azerbaijan 77083 55755 985 0.00 1.28 97
## 70 Greece 76403 9989 1165 0.00 1.52 112
## 71 Libya 74936 45371 1041 0.82 1.39 151
## 72 Bosnia and Herzegovina 72689 36473 1973 0.00 2.71 601
## 73 Paraguay 72099 51776 1602 0.73 2.22 225
## 74 Kenya 70804 46244 1287 0.00 1.82 24
## 75 Uzbekistan 70444 67734 598 0.21 0.85 18
## 76 Myanmar 70161 53299 1599 0.00 2.28 29
## 77 Algeria 68589 45148 2168 0.00 3.16 49
## 78 Ireland 68356 23364 1984 0.00 2.90 402
## 79 Kyrgyzstan 67469 58315 1207 0.73 1.79 185
## 80 Nigeria 65305 61162 1163 0.00 1.78 6
## 81 Palestinian Territory 63867 54953 572 0.00 0.90 NA
## 82 Denmark 63847 49208 764 1.91 1.20 132
## 83 Singapore 58130 58033 28 0.01 0.05 5
## 84 Slovenia 56932 36519 876 2.50 1.54 421
## 85 Ghana 50376 48626 323 0.50 0.64 10
## 86 Malaysia 49730 36624 318 2.49 0.64 10
## 87 Republika Severna Makedonija 47636 27803 1345 0.00 2.82 NA
## 88 Afghanistan 43628 35160 1638 0.52 3.75 42
## 89 Lithuania 36876 8566 299 2.69 0.81 110
## 90 El Salvador 36669 33064 1052 0.00 2.87 162
## 91 Norway 29514 19025 294 0.95 1.00 54
## 92 South Korea 28998 25860 494 0.80 1.70 10
## 93 Albania 28432 13453 631 0.00 2.22 219
## 94 Montenegro 27773 17862 396 0.00 1.43 631
## 95 Australia 27760 25504 907 0.04 3.27 36
## 96 Luxembourg 27256 17734 236 0.00 0.87 377
## 97 Cameroon 22692 21510 433 0.00 1.91 16
## 98 Côte d'Ivoire 20988 20663 128 0.00 0.61 5
## 99 Finland 19647 14000 371 1.17 1.89 67
## 100 Sri Lanka 17674 12210 61 0.00 0.35 3
## 101 Madagascar 17310 16592 250 0.00 1.44 9
## 102 Zambia 17187 16400 353 0.00 2.05 19
## 103 Uganda 16257 8170 150 0.00 0.92 3
## 104 Senegal 15806 15425 329 0.03 2.08 20
## 105 Sudan 14728 9581 1119 0.70 7.60 26
## 106 Mozambique 14514 12599 116 0.00 0.80 4
## 107 Angola 13615 6523 324 0.00 2.38 10
## 108 Namibia 13555 12843 138 0.00 1.02 54
## 109 Guinea 12654 11386 75 0.24 0.59 6
## 110 Maldives 12314 11316 44 0.00 0.36 81
## 111 French Polynesia 12121 4842 56 3.55 0.46 199
## 112 Democratic Republic of the Congo 11839 11124 321 0.00 2.71 NA
## 113 Tajikistan 11649 11019 85 0.00 0.73 9
## 114 Latvia 10914 1557 132 2.61 1.21 70
## 115 French Guiana 10876 9995 70 0.00 0.64 234
## [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 2020-11-17 China Hong Kong 5470 5212 108 4
## 2 2020-11-17 China Shanghai 1285 1207 7 4
## 3 2020-11-17 China Taiwan 605 539 7 2
## 4 2020-11-17 China Tianjin 291 274 3 1
## 5 2020-11-17 China Liaoning 289 280 2 1
## 6 2020-11-17 China Shanxi 220 213 0 1