Ending day prediction of nCoV2019
27/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-11-26"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 13144987 7808616 268364 0.07 2.04 811
## 2 Brazil 6166898 5512847 170799 0.00 2.77 804
## 3 India 9269861 8680739 135296 0.03 1.46 98
## 4 Mexico 1070487 798037 103597 0.97 9.68 803
## 5 United Kingdom 1557007 1918 56533 0.00 3.63 833
## 6 Italy 1480874 637149 52028 0.00 3.51 861
## 7 France 2170097 156552 50618 0.00 2.33 775
## 8 Iran 908346 633275 46689 1.56 5.14 556
## 9 Spain 1622632 196958 44037 0.00 2.71 942
## 10 Russia 2187990 1685492 38062 1.18 1.74 261
## 11 Argentina 1390388 1217284 37714 0.00 2.71 834
## 12 Colombia 1270991 1174959 35860 0.00 2.82 705
## 13 Peru 954459 884747 35727 0.00 3.74 1084
## 14 South Africa 775502 716444 21201 0.00 2.73 357
## 15 Indonesia 516753 433649 16352 0.96 3.16 60
## 16 Belgium 564967 36569 16077 0.56 2.85 1387
## 17 Poland 941112 494869 15568 1.81 1.65 411
## 18 Germany 987930 675847 15432 0.48 1.56 184
## 19 Chile 544092 520180 15138 0.00 2.78 792
## 20 Ecuador 187230 164009 13288 0.00 7.10 753
## 21 Turkey 467730 385480 12840 0.00 2.75 152
## 22 Iraq 544670 474376 12125 0.46 2.23 301
## 23 Ukraine 677189 317395 11717 2.32 1.73 268
## 24 Canada 347466 277232 11710 0.00 3.37 310
## 25 Romania 449349 323514 10712 2.04 2.38 557
## 26 Netherlands 503123 322 9184 0.90 1.83 536
## 27 Bolivia 144276 120209 8933 0.09 6.19 765
## 28 Philippines 424297 387266 8242 0.33 1.94 75
## 29 Pakistan 386198 334392 7843 0.86 2.03 36
## 30 Czech Republic 507549 417657 7633 0.46 1.50 713
## 31 Sweden 236355 4971 6622 2.53 2.80 656
## 32 Egypt 114107 102201 6585 0.00 5.77 64
## 33 Bangladesh 456438 371453 6524 0.50 1.43 40
## 34 Saudi Arabia 356389 345215 5840 0.09 1.64 168
## 35 Morocco 336506 284496 5539 0.00 1.65 150
## 36 China 93113 87459 4749 0.09 5.10 3
## 37 Switzerland 313978 218900 4451 1.46 1.42 514
## 38 Hungary 192047 49616 4229 3.43 2.20 438
## 39 Portugal 274011 189356 4127 0.00 1.51 405
## 40 Guatemala 119989 108854 4107 0.00 3.42 229
## 41 Bulgaria 133060 42620 3367 0.00 2.53 485
## 42 Panama 158532 139356 3002 1.02 1.89 696
## 43 Tunisia 91307 66459 2983 0.00 3.27 252
## 44 Honduras 106116 47006 2888 0.52 2.72 292
## 45 Israel 332420 320078 2827 0.15 0.85 327
## 46 Austria 260512 189059 2667 0.00 1.02 296
## 47 Bosnia and Herzegovina 84252 48780 2480 1.11 2.94 756
## 48 Jordan 198021 131181 2442 0.00 1.23 239
## 49 Algeria 78025 50712 2329 0.00 2.98 53
## 50 Dominican Republic 139396 113263 2315 0.00 1.66 213
## 51 Moldova 101203 83789 2209 0.00 2.18 548
## 52 Armenia 130870 103055 2068 1.38 1.58 698
## 53 Japan 140288 116378 2065 1.82 1.47 16
## 54 Ireland 71187 23364 2033 0.00 2.86 412
## 55 Kazakhstan 128400 114821 1990 0.64 1.55 106
## 56 Greece 97288 9989 1902 0.00 1.96 182
## 57 Myanmar 85205 64645 1846 1.96 2.17 34
## 58 Afghanistan 45716 36232 1737 0.50 3.80 45
## 59 Paraguay 78878 56025 1691 0.00 2.14 237
## 60 Costa Rica 134520 82611 1674 0.00 1.24 329
## 61 Ethiopia 107109 66574 1664 0.00 1.55 14
## 62 Republika Severna Makedonija 57451 34970 1600 0.00 2.78 NA
## 63 Croatia 115626 92349 1552 3.59 1.34 378
## 64 Kenya 80102 53526 1427 0.98 1.78 27
## 65 Nepal 227640 209435 1412 0.71 0.62 48
## 66 Oman 122579 113856 1391 0.00 1.13 272
## 67 Serbia 140608 31536 1315 0.00 0.94 151
## 68 Azerbaijan 106101 68572 1256 3.62 1.18 124
## 69 Kyrgyzstan 71171 62544 1251 0.60 1.76 192
## 70 Slovenia 71073 49654 1245 2.55 1.75 599
## 71 Sudan 16649 9908 1210 0.00 7.27 28
## 72 Nigeria 66805 62493 1169 0.00 1.75 6
## 73 Libya 80407 51585 1140 0.76 1.42 166
## 74 Belarus 130012 108769 1128 1.22 0.87 119
## 75 Georgia 118690 98781 1124 3.31 0.95 282
## 76 El Salvador 37884 34595 1098 0.00 2.90 169
## 77 Puerto Rico 87991 39895 1052 0.00 1.20 368
## 78 Lebanon 120341 71236 950 0.00 0.79 139
## 79 Australia 27867 25565 907 0.05 3.25 36
## 80 Venezuela 100817 95669 880 0.32 0.87 31
## 81 Kuwait 141547 134750 872 0.23 0.62 204
## 82 Denmark 74722 58664 802 0.00 1.07 138
## 83 Slovakia 101257 56378 749 1.97 0.74 137
## 84 Albania 34944 17031 743 0.00 2.13 258
## 85 Palestinian Territory 78493 61241 680 2.30 0.87 NA
## 86 Uzbekistan 72289 69477 606 0.15 0.84 18
## 87 United Arab Emirates 162662 151044 563 0.00 0.35 57
## 88 South Korea 31735 26825 513 0.00 1.62 10
## 89 Montenegro 32808 21229 459 0.00 1.40 731
## 90 Lithuania 53757 12655 449 4.07 0.84 165
## 91 Cameroon 23915 22177 437 0.00 1.83 16
## 92 Finland 23148 16800 388 2.19 1.68 70
## 93 Zambia 17535 16755 357 0.00 2.04 19
## 94 Malaysia 60752 49056 348 1.56 0.57 11
## 95 Bahrain 86185 84335 341 0.00 0.40 200
## 96 Angola 14821 7517 340 0.00 2.29 10
## 97 Democratic Republic of the Congo 12365 11433 331 0.00 2.68 NA
## 98 Senegal 15960 15558 331 0.21 2.07 20
## 99 Ghana 51225 50127 323 0.00 0.63 10
## 100 Norway 34268 20956 316 0.00 0.92 58
## 101 Luxembourg 32100 22630 288 0.00 0.90 460
## 102 Madagascar 17341 16657 251 0.00 1.45 9
## 103 Jamaica 10488 5623 247 0.00 2.36 83
## 104 Qatar 138066 135198 237 0.16 0.17 82
## 105 Uganda 18890 8832 191 0.00 1.01 4
## 106 Latvia 15171 1719 188 6.29 1.24 100
## 107 Namibia 14006 13339 145 0.00 1.04 57
## 108 Côte d'Ivoire 21168 20843 131 0.00 0.62 5
## 109 Mozambique 15302 13459 128 0.00 0.84 4
## 110 Cape Verde 10526 9900 104 0.00 0.99 NA
## 111 Estonia 10955 6497 99 3.93 0.90 75
## 112 Sri Lanka 21811 15816 96 1.59 0.44 4
## 113 Tajikistan 12044 11437 86 0.30 0.71 9
## 114 Guinea 12949 11922 76 0.15 0.59 6
## 115 French Guiana 11116 9995 70 0.00 0.63 234
## 116 French Polynesia 13783 4842 70 0.00 0.51 249
## 117 Maldives 12854 11681 46 0.00 0.36 85
## 118 Singapore 58195 58091 28 0.01 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 2020-11-26 China Hong Kong 5947 5300 108 81
## 2 2020-11-26 China Inner Mongolia 320 296 1 9
## 3 2020-11-26 China Shanghai 1322 1253 7 3
## 4 2020-11-26 China Taiwan 625 555 7 2
## 5 2020-11-26 China Fujian 481 438 1 2
## 6 2020-11-26 China Sichuan 801 759 3 1