Ending day prediction of nCoV2019
28/10/2020
options(width = 100)
source('./predict.R')## [1] "2020-10-27"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 8964331 5835211 231129 0.85 2.58 698
## 2 India 7946429 7201070 119535 0.46 1.50 87
## 3 Brazil 5411550 4865930 157451 0.32 2.91 741
## 4 Russia 1547774 1158940 26589 2.24 1.72 182
## 5 France 1165278 111347 35018 2.35 3.01 536
## 6 Spain 1156498 196958 35031 4.15 3.03 749
## 7 Argentina 1102301 909586 29301 1.07 2.66 648
## 8 Colombia 1025052 924044 30348 0.90 2.96 596
## 9 Mexico 895326 655118 89171 0.47 9.96 692
## 10 United Kingdom 894690 1918 44998 2.39 5.03 663
## 11 Peru 890574 810995 34197 0.21 3.84 1037
## 12 South Africa 716759 646721 19008 0.12 2.65 320
## 13 Iran 581824 463611 33299 2.27 5.72 396
## 14 Italy 542789 268626 37479 3.23 6.90 620
## 15 Chile 503598 479877 14003 0.31 2.78 733
## 16 Iraq 455398 384593 10671 0.82 2.34 265
## 17 Germany 443569 321536 10161 1.36 2.29 121
## 18 Bangladesh 401586 318123 5838 0.69 1.45 35
## 19 Indonesia 396454 322248 13512 1.73 3.41 49
## 20 Philippines 373144 328602 7053 0.84 1.89 64
## 21 Turkey 363999 316008 9874 0.61 2.71 117
## 22 Ukraine 355601 145336 6590 3.52 1.85 151
## 23 Saudi Arabia 345631 332117 5329 0.22 1.54 153
## 24 Belgium 333718 23256 10899 3.95 3.27 940
## 25 Pakistan 329375 311440 6745 0.24 2.05 31
## 26 Israel 311313 295968 2452 0.44 0.79 283
## 27 Netherlands 301597 322 7072 3.55 2.34 413
## 28 Poland 280229 119237 4615 10.46 1.65 122
## 29 Czech Republic 268370 103220 2365 3.98 0.88 221
## 30 Canada 220213 184306 9973 1.90 4.53 264
## 31 Romania 217216 155630 6574 3.61 3.03 342
## 32 Morocco 199745 165922 3373 1.15 1.69 91
## 33 Ecuador 162178 141759 12573 0.34 7.75 713
## 34 Nepal 160400 118843 876 1.46 0.55 30
## 35 Bolivia 140952 109228 8658 0.07 6.14 742
## 36 Qatar 131689 128617 230 0.40 0.17 80
## 37 Panama 129751 105710 2638 0.43 2.03 611
## 38 United Arab Emirates 127624 122458 482 2.00 0.38 49
## 39 Switzerland 127042 61700 2147 22.56 1.69 248
## 40 Dominican Republic 124843 103081 2225 0.25 1.78 205
## 41 Kuwait 123092 114116 756 1.20 0.61 177
## 42 Portugal 121133 69956 2343 2.06 1.93 230
## 43 Oman 113820 99997 1203 0.79 1.06 236
## 44 Kazakhstan 110684 105766 1796 0.13 1.62 96
## 45 Sweden 110594 4971 5933 0.00 5.36 587
## 46 Egypt 106707 98981 6211 0.16 5.82 61
## 47 Guatemala 104894 94530 3651 0.10 3.48 204
## 48 Costa Rica 104460 63709 1312 1.33 1.26 258
## 49 Japan 98250 90148 1725 1.06 1.76 14
## 50 Belarus 94609 84237 965 1.92 1.02 102
## 51 Honduras 93966 38536 2633 0.81 2.80 266
## 52 Ethiopia 93707 48150 1437 0.39 1.53 12
## 53 China 91736 86527 4746 0.03 5.17 3
## 54 Venezuela 90047 84444 777 0.54 0.86 27
## 55 Austria 86102 60308 1005 6.55 1.17 112
## 56 Bahrain 80533 77132 316 0.35 0.39 186
## 57 Armenia 80410 51814 1222 3.31 1.52 412
## 58 Lebanon 72186 35545 579 1.12 0.80 85
## 59 Moldova 71811 52730 1700 0.43 2.37 421
## 60 Uzbekistan 65765 62876 554 0.58 0.84 17
## 61 Hungary 63642 16646 1535 7.42 2.41 159
## 62 Puerto Rico 63135 2267 804 1.01 1.27 281
## 63 Nigeria 62111 57571 1132 0.19 1.82 5
## 64 Paraguay 60109 40247 1333 0.86 2.22 187
## 65 Ireland 58067 23364 1885 1.64 3.25 382
## 66 Singapore 57980 57879 28 0.02 0.05 5
## 67 Libya 57975 32253 812 3.50 1.40 118
## 68 Kyrgyzstan 56738 48223 1136 1.77 2.00 174
## 69 Algeria 56419 39273 1922 0.49 3.41 44
## 70 Jordan 55055 7508 624 3.71 1.13 61
## 71 Tunisia 52399 5032 983 7.38 1.88 83
## 72 Azerbaijan 51149 41693 688 2.38 1.35 68
## 73 Palestinian Territory 50952 44055 454 1.01 0.89 NA
## 74 Kenya 49997 34429 920 0.56 1.84 17
## 75 Ghana 47775 46971 316 0.18 0.66 10
## 76 Myanmar 46200 26007 1122 3.18 2.43 21
## 77 Slovakia 46056 11008 176 5.05 0.38 32
## 78 Bosnia and Herzegovina 43151 26903 1125 5.52 2.61 343
## 79 Denmark 41919 32731 708 2.58 1.69 122
## 80 Afghanistan 41032 34217 1523 0.49 3.71 39
## 81 Bulgaria 40132 18650 1136 5.92 2.83 163
## 82 Serbia 39827 31536 793 0.86 1.99 91
## 83 Croatia 38621 26840 470 6.16 1.22 114
## 84 El Salvador 32925 28582 953 1.04 2.89 147
## 85 Georgia 32127 12632 238 13.00 0.74 60
## 86 Greece 31496 9989 581 2.32 1.84 56
## 87 Malaysia 28640 18499 238 7.81 0.83 7
## 88 Australia 27541 25213 905 0.05 3.29 35
## 89 Republika Severna Makedonija 27199 18948 934 0.91 3.43 NA
## 90 South Korea 26043 23981 460 0.34 1.77 9
## 91 Slovenia 25603 8582 251 11.56 0.98 121
## 92 Cameroon 21793 20117 426 1.03 1.95 16
## 93 Côte d'Ivoire 20486 20212 122 0.08 0.60 5
## 94 Albania 19445 10705 480 1.50 2.47 167
## 95 Norway 18342 11863 279 2.42 1.52 51
## 96 Madagascar 16968 16301 244 0.00 1.44 9
## 97 Montenegro 16909 13016 270 0.67 1.60 430
## 98 Zambia 16200 15445 348 0.51 2.15 19
## 99 Senegal 15571 14437 322 0.13 2.07 19
## 100 Finland 14970 9800 354 0.82 2.36 64
## 101 Luxembourg 14399 9570 147 1.37 1.02 235
## 102 Sudan 13747 6764 837 0.04 6.09 19
## 103 Namibia 12675 10813 133 0.12 1.05 52
## 104 Mozambique 12161 9254 88 1.46 0.72 3
## 105 Guinea 11635 10474 71 0.00 0.61 5
## 106 Uganda 11621 7400 103 1.56 0.89 2
## 107 Maldives 11532 10563 37 0.23 0.32 68
## 108 Lithuania 11362 4329 141 11.57 1.24 52
## 109 Democratic Republic of the Congo 11174 10468 305 0.28 2.73 NA
## 110 Tajikistan 10860 10009 81 0.78 0.75 8
## 111 French Guiana 10385 9995 69 0.09 0.66 231
## [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 2020-10-27 China Xinjiang 907 899 3 5
## 2 2020-10-27 China Hong Kong 5308 5053 105 5
## 3 2020-10-27 China Shanghai 1142 1046 7 3
## 4 2020-10-27 China Shaanxi 447 421 3 3
## 5 2020-10-27 China Hebei 371 359 6 2
## 6 2020-10-27 China Sichuan 736 705 3 2
## 7 2020-10-27 China Tianjin 261 246 3 1
## 8 2020-10-27 China Inner Mongolia 278 268 1 1
## 9 2020-10-27 China Heilongjiang 949 935 13 1
## 10 2020-10-27 China Fujian 431 410 1 1
## 11 2020-10-27 China Shandong 846 829 7 1
## 12 2020-10-27 China Guangdong 1909 1869 8 1