Ending day prediction of nCoV2019
08/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-11-06"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Lithuania 20747 5454 192 14.67 0.93 71
## 2 Poland 493765 188675 7287 12.34 1.48 193
## 3 Greece 52254 9989 715 11.43 1.37 69
## 4 Austria 138979 83707 1340 11.10 0.96 149
## 5 Jordan 101248 8506 1136 10.98 1.12 111
## 6 Switzerland 211913 87300 2710 10.16 1.28 313
## 7 Croatia 62305 46021 717 10.14 1.15 175
## 8 Italy 862681 322925 40638 9.15 4.71 672
## 9 Serbia 57958 31536 871 8.34 1.50 100
## 10 Slovenia 42658 18825 497 8.25 1.17 239
## 11 Malaysia 38189 26380 279 7.80 0.73 9
## 12 France 1661853 126329 39865 7.68 2.40 611
## 13 Romania 287062 195971 7663 7.48 2.67 398
## 14 Germany 640492 402466 11383 7.35 1.78 136
## 15 Luxembourg 21806 12094 180 7.19 0.83 288
## 16 Denmark 53692 39136 738 7.16 1.37 127
## 17 Bosnia and Herzegovina 59427 29970 1457 6.89 2.45 444
## 18 Republika Severna Makedonija 37499 22835 1096 6.84 2.92 NA
## 19 Slovakia 71088 16990 317 6.46 0.45 58
## 20 Sri Lanka 12970 7186 30 6.42 0.23 1
## 21 Portugal 166900 93754 2792 6.35 1.67 274
## 22 Sweden 146461 4971 6022 6.34 4.11 596
## 23 Montenegro 22079 15294 328 5.89 1.49 522
## 24 Bulgaria 68345 22709 1518 5.81 2.22 218
## 25 Georgia 51993 37019 423 5.64 0.81 106
## 26 Czech Republic 397791 214882 4484 5.04 1.13 419
## 27 Hungary 99625 23213 2250 4.96 2.26 233
## 28 Lebanon 91328 45820 700 4.86 0.77 103
## 29 Azerbaijan 62338 47270 811 4.75 1.30 80
## 30 Morocco 246349 200954 4127 4.69 1.68 112
## 31 Norway 23600 11863 285 4.53 1.21 53
## 32 United Kingdom 1146484 1918 48475 4.32 4.23 714
## 33 Myanmar 59277 43277 1376 4.10 2.32 25
## 34 Albania 23210 11861 549 4.08 2.37 191
## 35 Uganda 13852 7727 131 3.75 0.95 3
## 36 Netherlands 397730 322 7887 3.70 1.98 460
## 37 Kenya 60704 40131 1093 3.61 1.80 20
## 38 Angola 12223 5626 300 3.47 2.45 9
## 39 Nepal 188883 152908 1070 3.26 0.57 37
## 40 Tunisia 66334 36727 1577 3.06 2.38 133
## 41 Libya 66444 38624 915 2.88 1.38 133
## 42 Iran 663800 509952 37409 2.73 5.64 445
## 43 Finland 17385 12700 362 2.69 2.08 65
## 44 Moldova 80501 60220 1882 2.54 2.34 467
## 45 Canada 253718 210141 10425 2.43 4.11 276
## 46 Belgium 479341 27987 12520 2.38 2.61 1080
## 47 Spain 1388411 196958 38833 2.33 2.80 831
## 48 United States 10026374 6378563 241919 2.29 2.41 731
## 49 Ukraine 440188 195544 8125 2.26 1.85 186
## 50 Armenia 101773 61782 1506 2.22 1.48 508
## 51 Puerto Rico 70519 2267 862 2.17 1.22 301
## 52 Algeria 60800 41510 2024 2.14 3.33 46
## 53 Palestinian Territory 57226 49537 511 2.03 0.89 NA
## 54 Belarus 104286 89555 1001 1.93 0.96 106
## 55 Costa Rica 115417 70421 1453 1.90 1.26 285
## 56 United Arab Emirates 139891 136936 510 1.88 0.36 52
## 57 Indonesia 429574 360705 14442 1.86 3.36 53
## 58 Ireland 64538 23364 1940 1.66 3.01 393
## 59 Mozambique 13485 11275 99 1.52 0.73 3
## 60 Iraq 493139 423266 11244 1.50 2.28 280
## 61 Kuwait 130463 121263 804 1.26 0.62 188
## 62 Guatemala 110502 100319 3794 1.24 3.43 212
## 63 Turkey 389256 334293 10722 1.23 2.75 127
## 64 Russia 1733440 1296124 29887 1.20 1.72 205
## 65 India 8460773 7818434 125605 1.16 1.48 91
## 66 Japan 106226 95756 1812 1.09 1.71 14
## 67 Maldives 11932 11041 39 0.93 0.33 72
## 68 Argentina 1217028 1030137 32766 0.92 2.69 725
## 69 Colombia 1117977 1011166 32209 0.89 2.88 633
## 70 Ethiopia 98746 58103 1512 0.88 1.53 13
## 71 Dominican Republic 129300 107038 2261 0.80 1.75 208
## 72 Bangladesh 417475 335027 6036 0.80 1.45 37
## 73 Paraguay 65778 45794 1462 0.80 2.22 205
## 74 Namibia 13143 11578 133 0.74 1.01 52
## 75 Kyrgyzstan 61748 52855 1170 0.72 1.89 179
## 76 Brazil 5631181 5064344 162015 0.72 2.88 762
## 77 Zambia 16819 15862 349 0.72 2.08 19
## 78 Tajikistan 11256 10546 83 0.68 0.74 9
## 79 Chile 518390 494303 14450 0.65 2.79 756
## 80 Nigeria 63731 59844 1155 0.64 1.81 6
## 81 Ecuador 172508 149048 12761 0.63 7.40 723
## 82 Peru 917503 838783 34783 0.63 3.79 1055
## 83 Democratic Republic of the Congo 11517 10838 315 0.59 2.74 NA
## 84 Mexico 949197 701837 93772 0.59 9.88 727
## 85 South Korea 27195 24821 476 0.54 1.75 9
## 86 Philippines 391809 349974 7461 0.53 1.90 68
## 87 El Salvador 34966 30941 1002 0.53 2.87 154
## 88 Kazakhstan 114826 107339 1857 0.52 1.62 99
## 89 South Africa 734175 675593 19749 0.50 2.69 333
## 90 Bahrain 83023 80526 328 0.48 0.40 193
## 91 Venezuela 93921 88701 819 0.47 0.87 29
## 92 Pakistan 340251 317086 6923 0.41 2.03 31
## 93 Panama 136567 115078 2756 0.40 2.02 639
## 94 Afghanistan 41975 34440 1554 0.39 3.70 40
## 95 Qatar 133811 130881 232 0.33 0.17 81
## 96 Uzbekistan 68139 65333 579 0.30 0.85 17
## 97 Ghana 48788 47521 320 0.30 0.66 10
## 98 Israel 318402 306890 2644 0.27 0.83 305
## 99 French Guiana 10620 9995 70 0.27 0.66 234
## 100 Oman 117167 107368 1286 0.27 1.10 252
## 101 Guinea 12363 10751 73 0.26 0.59 6
## 102 Saudi Arabia 349822 336533 5506 0.25 1.57 158
## 103 Honduras 99347 42574 2736 0.22 2.75 276
## 104 Egypt 108530 100006 6329 0.19 5.83 62
## 105 Senegal 15676 15294 326 0.17 2.08 19
## 106 Côte d'Ivoire 20801 20477 126 0.11 0.61 5
## 107 Bolivia 142201 113386 8768 0.10 6.17 751
## 108 China 92164 86831 4748 0.05 5.15 3
## 109 Australia 27645 25428 907 0.04 3.28 36
## 110 Singapore 58047 57959 28 0.01 0.05 5
## 111 Cameroon 22103 21151 429 0.00 1.94 16
## 112 Sudan 13943 6764 837 0.00 6.00 19
## 113 Madagascar 17111 16409 244 0.00 1.43 9
## [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 2020-11-06 China Shanghai 1234 1122 7 11
## 2 2020-11-06 China Hong Kong 5361 5131 107 6
## 3 2020-11-06 China Xinjiang 980 903 3 6
## 4 2020-11-06 China Sichuan 767 722 3 6
## 5 2020-11-06 China Guangdong 1943 1902 8 5
## 6 2020-11-06 China Taiwan 574 523 7 5
## 7 2020-11-06 China Inner Mongolia 303 270 1 3
## 8 2020-11-06 China Fujian 446 415 1 2
## 9 2020-11-06 China Zhejiang 1288 1279 1 1