Ending day prediction of nCoV2019
13/10/2020
options(width = 100)
source('./predict.R')## [1] "2020-10-12"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 7994573 5128497 219715 0.61 2.75 664
## 2 India 7133368 6163039 109348 1.13 1.53 79
## 3 Brazil 5094979 4470165 150506 0.06 2.95 708
## 4 Russia 1312310 1024235 22722 1.05 1.73 156
## 5 Colombia 911316 789787 27834 0.95 3.05 547
## 6 Argentina 894206 721380 23868 1.17 2.67 528
## 7 Spain 890367 196958 32929 0.00 3.70 704
## 8 Peru 849371 743969 33305 0.39 3.92 1010
## 9 Mexico 817503 594180 83781 0.39 10.25 650
## 10 France 734974 100828 32683 2.24 4.45 501
## 11 South Africa 692471 623765 17780 0.23 2.57 300
## 12 United Kingdom 603716 1918 42825 2.18 7.09 631
## 13 Iran 504281 409121 28816 0.84 5.71 343
## 14 Chile 481371 453352 13318 0.37 2.77 697
## 15 Iraq 405437 340050 9912 1.33 2.44 246
## 16 Bangladesh 379738 294391 5555 0.39 1.46 34
## 17 Italy 354950 239709 36166 1.56 10.19 598
## 18 Philippines 342816 293152 6332 1.02 1.85 58
## 19 Saudi Arabia 339615 325839 5068 0.20 1.49 146
## 20 Indonesia 336716 258519 11935 0.98 3.54 44
## 21 Turkey 335533 294357 8837 0.45 2.63 105
## 22 Germany 326000 274787 9778 1.32 3.00 117
## 23 Pakistan 319317 304185 6580 0.12 2.06 30
## 24 Israel 291828 238145 1983 0.60 0.68 229
## 25 Ukraine 265454 114410 5015 1.69 1.89 115
## 26 Canada 181864 153219 9613 0.94 5.29 255
## 27 Netherlands 181498 322 6596 7.85 3.63 385
## 28 Belgium 162258 20272 10191 3.39 6.28 879
## 29 Romania 157352 118912 5467 1.33 3.47 284
## 30 Morocco 152404 127407 2605 1.71 1.71 71
## 31 Ecuador 147033 128134 12191 0.14 8.29 691
## 32 Bolivia 138574 101103 8308 0.08 6.00 712
## 33 Poland 130210 81201 3039 3.49 2.33 80
## 34 Qatar 128191 125176 220 0.32 0.17 76
## 35 Panama 120313 96164 2491 0.54 2.07 577
## 36 Dominican Republic 118477 94084 2173 0.39 1.83 200
## 37 Czech Republic 117110 56203 987 2.72 0.84 92
## 38 Kuwait 111893 103802 664 1.20 0.59 155
## 39 Nepal 111802 77277 645 3.76 0.58 22
## 40 Kazakhstan 108831 104041 1746 0.07 1.60 93
## 41 United Arab Emirates 107293 98555 446 1.00 0.42 45
## 42 Oman 106575 93222 1046 0.65 0.98 205
## 43 Egypt 104516 97688 6052 0.12 5.79 59
## 44 Sweden 98451 4971 5894 0.00 5.99 584
## 45 Guatemala 97715 86582 3384 0.18 3.46 189
## 46 China 91352 86168 4746 0.04 5.20 3
## 47 Japan 89491 81824 1630 0.00 1.82 13
## 48 Portugal 87913 53498 2094 2.73 2.38 205
## 49 Costa Rica 87439 52669 1076 0.00 1.23 211
## 50 Ethiopia 84295 38316 1287 1.04 1.53 11
## 51 Honduras 84081 32012 2512 1.12 2.99 254
## 52 Belarus 83998 77423 901 1.17 1.07 95
## 53 Venezuela 83137 74664 697 0.83 0.84 25
## 54 Bahrain 75614 71249 278 0.43 0.37 163
## 55 Switzerland 64436 48400 2093 6.74 3.25 242
## 56 Moldova 62151 44357 1461 0.63 2.35 362
## 57 Uzbekistan 61319 58306 509 0.70 0.83 15
## 58 Nigeria 60266 51735 1115 0.27 1.85 5
## 59 Singapore 57880 57705 27 0.01 0.05 5
## 60 Armenia 56821 45891 1026 0.66 1.81 346
## 61 Austria 56298 44065 855 1.77 1.52 95
## 62 Puerto Rico 53671 2267 730 0.58 1.36 255
## 63 Lebanon 53568 23501 459 1.92 0.86 67
## 64 Algeria 53072 37170 1801 0.25 3.39 41
## 65 Paraguay 49675 32090 1077 1.42 2.17 151
## 66 Kyrgyzstan 49528 44522 1090 0.61 2.20 167
## 67 Ghana 47005 46398 306 0.00 0.65 10
## 68 Palestinian Territory 44684 38228 387 0.87 0.87 NA
## 69 Libya 43821 24466 644 2.60 1.47 94
## 70 Ireland 42528 23364 1826 1.95 4.29 370
## 71 Azerbaijan 41982 39357 609 0.55 1.45 60
## 72 Kenya 41619 32000 777 1.12 1.87 14
## 73 Afghanistan 39870 33118 1479 0.18 3.71 38
## 74 Hungary 38837 11037 968 3.11 2.49 100
## 75 Serbia 34854 31536 765 0.49 2.19 88
## 76 Denmark 32915 26855 669 1.04 2.03 116
## 77 Tunisia 32556 5032 478 4.15 1.47 40
## 78 Bosnia and Herzegovina 30837 23587 936 0.62 3.04 285
## 79 El Salvador 30196 25438 894 0.00 2.96 138
## 80 Myanmar 29314 10260 664 12.47 2.27 12
## 81 Australia 27285 24998 898 0.07 3.29 35
## 82 Jordan 24926 6101 191 3.87 0.77 19
## 83 South Korea 24703 22729 433 0.39 1.75 8
## 84 Bulgaria 24402 15847 892 0.34 3.66 128
## 85 Greece 22358 9989 449 1.27 2.01 43
## 86 Cameroon 21203 20117 423 0.00 2.00 16
## 87 Republika Severna Makedonija 20937 16194 792 1.86 3.78 NA
## 88 Croatia 20621 17582 327 0.89 1.59 80
## 89 Slovakia 20355 6031 61 2.54 0.30 11
## 90 Côte d'Ivoire 20154 19798 120 0.13 0.60 5
## 91 Madagascar 16726 16081 237 0.05 1.42 9
## 92 Malaysia 16220 11022 159 3.60 0.98 5
## 93 Norway 15585 11863 276 0.77 1.77 51
## 94 Zambia 15549 14682 345 0.87 2.22 19
## 95 Albania 15399 9500 420 1.10 2.73 146
## 96 Senegal 15292 13390 315 0.16 2.06 19
## 97 Montenegro 13869 9620 202 1.67 1.46 322
## 98 Sudan 13685 6764 836 0.11 6.11 19
## 99 Georgia 12272 6538 93 4.05 0.76 23
## 100 Finland 12212 8500 346 1.78 2.83 62
## 101 Namibia 11936 9817 128 0.38 1.07 50
## 102 Guinea 11022 10324 69 0.24 0.63 5
## 103 Maldives 10894 9742 35 0.32 0.32 65
## 104 Democratic Republic of the Congo 10851 10242 276 0.00 2.54 NA
## 105 Tajikistan 10260 9103 79 0.79 0.77 8
## 106 French Guiana 10144 9834 69 0.00 0.68 231
## 107 Mozambique 10001 7338 71 1.59 0.71 2
## [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 2020-10-12 China Hong Kong 5193 4921 105 11
## 2 2020-10-12 China Shandong 838 824 7 6
## 3 2020-10-12 China Shanghai 1053 985 7 5
## 4 2020-10-12 China Liaoning 280 269 2 4
## 5 2020-10-12 China Guangdong 1861 1823 8 3
## 6 2020-10-12 China Hebei 367 358 6 2
## 7 2020-10-12 China Shanxi 208 203 0 2
## 8 2020-10-12 China Taiwan 529 489 7 2
## 9 2020-10-12 China Beijing 937 927 9 1
## 10 2020-10-12 China Tianjin 245 238 3 1
## 11 2020-10-12 China Inner Mongolia 269 262 1 1
## 12 2020-10-12 China Fujian 416 402 1 1
## 13 2020-10-12 China Sichuan 722 676 3 1