Ending day prediction of nCoV2019
06/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-11-04"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 India 8329731 7669487 123730 0.20 1.49 90
## 2 United States 9694176 6237271 238656 0.51 2.46 721
## 3 Brazil 5567126 5028216 160548 0.02 2.88 755
## 4 Russia 1693454 1266931 29217 1.18 1.73 200
## 5 Argentina 1195276 1009278 32052 1.03 2.68 709
## 6 Colombia 1099392 993877 31847 0.00 2.90 626
## 7 Peru 908902 832929 34623 0.00 3.81 1050
## 8 Mexico 938405 693227 92593 0.56 9.87 718
## 9 South Africa 728836 659259 19539 0.00 2.68 329
## 10 Iran 646164 500400 36579 1.33 5.66 436
## 11 Chile 514202 490820 14319 0.00 2.78 749
## 12 Iraq 485870 417235 11128 0.74 2.29 277
## 13 Germany 583876 381340 10931 2.73 1.87 130
## 14 Indonesia 421731 353282 14259 0.80 3.38 52
## 15 Philippines 388137 349091 7367 0.25 1.90 67
## 16 Saudi Arabia 348936 335594 5471 0.12 1.57 157
## 17 Bangladesh 414164 331697 6004 0.37 1.45 36
## 18 Turkey 382118 328824 10481 0.00 2.74 124
## 19 Pakistan 337573 316060 6867 0.39 2.03 31
## 20 Israel 316792 304418 2592 0.08 0.82 299
## 21 Italy 759829 302275 39412 0.00 5.19 652
## 22 Canada 244935 203509 10279 1.06 4.20 272
## 23 Spain 1331756 196958 36495 0.00 2.74 781
## 24 Morocco 229565 189909 3900 0.00 1.70 106
## 25 Romania 267088 186260 7419 3.35 2.78 386
## 26 Czech Republic 362985 185180 3913 1.48 1.08 365
## 27 Ukraine 420617 176404 7731 2.32 1.84 177
## 28 Poland 439536 168960 6475 5.95 1.47 171
## 29 Ecuador 170110 149048 12698 0.00 7.46 720
## 30 Nepal 182923 144978 1034 1.84 0.57 35
## 31 United Arab Emirates 137310 134983 505 0.85 0.37 51
## 32 Qatar 133370 130414 232 0.17 0.17 81
## 33 France 1502763 120714 38289 0.00 2.55 587
## 34 Kuwait 128843 119742 794 0.60 0.62 186
## 35 Panama 135592 113379 2731 0.50 2.01 633
## 36 Bolivia 141936 112526 8751 0.05 6.17 750
## 37 Oman 116847 106903 1275 0.27 1.09 250
## 38 Kazakhstan 113741 106893 1857 0.38 1.63 99
## 39 Dominican Republic 127848 105982 2252 0.00 1.76 208
## 40 Egypt 108122 99765 6305 0.00 5.83 62
## 41 Guatemala 108483 98658 3748 0.00 3.45 209
## 42 Japan 104035 94295 1799 0.60 1.73 14
## 43 Belarus 102313 88701 995 0.97 0.97 105
## 44 Venezuela 93100 87941 810 0.43 0.87 28
## 45 Switzerland 192376 87100 2500 5.53 1.30 289
## 46 China 92077 86766 4747 0.03 5.16 3
## 47 Portugal 149443 86589 2635 0.00 1.76 258
## 48 Bahrain 82363 79680 326 0.00 0.40 192
## 49 Austria 125099 77036 1227 5.84 0.98 136
## 50 Costa Rica 112120 68604 1419 0.00 1.27 279
## 51 Uzbekistan 67698 64885 575 0.21 0.85 17
## 52 Nigeria 63173 59634 1151 0.22 1.82 6
## 53 Armenia 97150 58811 1448 2.50 1.49 489
## 54 Singapore 58036 57937 28 0.01 0.05 5
## 55 Moldova 77487 57402 1838 0.00 2.37 456
## 56 Ethiopia 97502 55254 1494 0.00 1.53 13
## 57 Kyrgyzstan 60774 51815 1163 1.49 1.91 178
## 58 Palestinian Territory 56090 48224 504 1.23 0.90 NA
## 59 Ghana 48643 47446 320 0.92 0.66 10
## 60 Azerbaijan 59509 45697 780 2.11 1.31 77
## 61 Paraguay 64628 44523 1441 0.74 2.23 202
## 62 Lebanon 85209 43885 667 0.00 0.78 98
## 63 Honduras 98688 41848 2706 0.29 2.74 273
## 64 Croatia 56567 41070 654 4.59 1.16 159
## 65 Myanmar 56940 40778 1330 2.04 2.34 24
## 66 Algeria 58979 40577 1980 0.00 3.36 45
## 67 Kenya 57093 37846 1039 0.00 1.82 19
## 68 Libya 64587 37610 900 1.41 1.39 131
## 69 Denmark 50106 36617 728 0.00 1.45 126
## 70 Afghanistan 41814 34362 1548 0.21 3.70 40
## 71 Serbia 51083 31536 844 0.00 1.65 97
## 72 Georgia 46817 31170 381 5.15 0.81 96
## 73 El Salvador 34015 29788 992 0.00 2.92 153
## 74 Bosnia and Herzegovina 55598 29389 1358 3.30 2.44 414
## 75 Belgium 453310 26661 12126 1.33 2.67 1046
## 76 Australia 27620 25394 907 0.04 3.28 36
## 77 Malaysia 35425 24815 271 3.00 0.76 8
## 78 South Korea 26925 24616 474 0.44 1.76 9
## 79 Ireland 63048 23364 1922 0.00 3.05 389
## 80 Republika Severna Makedonija 33908 21665 1049 0.00 3.09 NA
## 81 Bulgaria 60537 21544 1412 0.00 2.33 203
## 82 Hungary 90988 21232 2063 4.86 2.27 214
## 83 Cameroon 22103 21151 429 0.00 1.94 16
## 84 Côte d'Ivoire 20765 20427 126 0.00 0.61 5
## 85 Madagascar 17111 16409 244 0.00 1.43 9
## 86 Zambia 16698 15819 349 0.22 2.09 19
## 87 Slovenia 39408 15550 441 5.42 1.12 212
## 88 Slovakia 66772 15474 261 5.06 0.39 48
## 89 Senegal 15650 15245 326 0.06 2.08 19
## 90 Montenegro 19977 14635 322 3.99 1.61 513
## 91 Finland 16930 12700 361 1.76 2.13 65
## 92 Norway 21956 11863 282 1.54 1.28 52
## 93 Albania 21904 11473 532 0.00 2.43 185
## 94 Namibia 13030 11304 133 0.14 1.02 52
## 95 Maldives 11796 10962 38 0.00 0.32 70
## 96 Luxembourg 19634 10825 167 0.00 0.85 267
## 97 Democratic Republic of the Congo 11427 10783 315 0.28 2.76 NA
## 98 Mozambique 13202 10695 95 0.00 0.72 3
## 99 Guinea 12260 10648 73 0.38 0.60 6
## 100 Tajikistan 11139 10389 83 0.00 0.75 9
## 101 French Guiana 10577 9995 70 0.09 0.66 234
## 102 Greece 44246 9989 655 0.00 1.48 63
## 103 Jordan 86576 7993 967 0.00 1.12 95
## 104 Uganda 13099 7612 115 0.00 0.88 3
## 105 Sudan 13905 6764 837 0.28 6.02 19
## 106 Sri Lanka 12018 5858 23 2.33 0.19 1
## 107 Angola 11577 5230 291 0.00 2.51 9
## 108 Lithuania 18092 5082 182 3.66 1.01 67
## 109 Tunisia 64363 5032 1512 3.97 2.35 128
## 110 Sweden 137730 4971 5997 2.38 4.35 594
## 111 Puerto Rico 68943 2267 842 0.00 1.22 294
## 112 United Kingdom 1073882 1918 47250 0.00 4.40 696
## 113 Netherlands 383523 322 7682 2.03 2.00 448
## [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 2020-11-04 China Shanghai 1208 1111 7 8
## 2 2020-11-04 China Xinjiang 974 899 3 8
## 3 2020-11-04 China Hong Kong 5348 5118 106 3
## 4 2020-11-04 China Henan 1286 1258 22 2
## 5 2020-11-04 China Fujian 443 413 1 2
## 6 2020-11-04 China Beijing 945 929 9 1
## 7 2020-11-04 China Taiwan 568 521 7 1
## 8 2020-11-04 China Shaanxi 456 427 3 1
## 9 2020-11-04 China Inner Mongolia 298 270 1 1