options(width = 100)
source('./predict.R')
## [1] "2020-11-02"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Afghanistan 41633 34342 1541 0.32 3.70 40
## 2 Albania 21523 11367 527 3.10 2.45 183
## 3 Algeria 58574 40577 1980 1.09 3.38 45
## 4 Angola 11228 5172 289 3.91 2.57 9
## 5 Argentina 1173533 985316 31140 0.57 2.65 689
## 6 Armenia 93448 56466 1391 1.29 1.49 469
## 7 Australia 27602 25356 907 0.03 3.29 36
## 8 Austria 114016 71691 1159 3.76 1.02 129
## 9 Azerbaijan 57040 44479 753 1.06 1.32 74
## 10 Bahrain 82133 79318 322 0.60 0.39 189
## 11 Bangladesh 410988 327901 5966 0.42 1.45 36
## 12 Belarus 100400 87400 989 0.95 0.99 105
## 13 Belgium 441018 25819 11737 2.75 2.66 1013
## 14 Bolivia 141833 111848 8731 0.05 6.16 748
## 15 Bosnia and Herzegovina 52269 28567 1280 1.48 2.45 390
## 16 Brazil 5554206 4980942 160253 0.34 2.89 754
## 17 Bulgaria 56496 21037 1349 6.91 2.39 194
## 18 Cameroon 22103 21151 429 1.42 1.94 16
## 19 Canada 238826 199463 10197 1.84 4.27 270
## 20 Chile 513188 489525 14302 0.57 2.79 748
## 21 China 92015 86712 4746 0.07 5.16 3
## 22 Colombia 1093256 985796 31670 1.78 2.90 622
## 23 Costa Rica 111257 68129 1404 1.17 1.26 276
## 24 Côte d'Ivoire 20753 20410 126 0.18 0.61 5
## 25 Croatia 52660 37332 594 2.26 1.13 145
## 26 Czech Republic 345699 158073 3603 3.16 1.04 336
## 27 Democratic Republic of the Congo 11395 10768 308 0.79 2.70 NA
## 28 Denmark 47811 35465 723 2.03 1.51 125
## 29 Dominican Republic 127591 105634 2250 0.45 1.76 207
## 30 Ecuador 169562 149048 12692 0.81 7.49 719
## 31 Egypt 107925 99652 6291 0.34 5.83 61
## 32 El Salvador 34015 29788 983 0.00 2.89 152
## 33 Ethiopia 96942 54405 1489 0.80 1.54 13
## 34 Finland 16400 11300 359 0.67 2.19 65
## 35 France 1466433 119104 37435 7.22 2.55 574
## 36 French Guiana 10536 9995 70 0.00 0.66 234
## 37 Georgia 42579 26800 342 4.55 0.80 86
## 38 Germany 543924 355925 10649 1.37 1.96 127
## 39 Ghana 48200 47260 320 0.16 0.66 10
## 40 Greece 42080 9989 642 7.21 1.53 62
## 41 Guatemala 108104 97756 3738 0.15 3.46 209
## 42 Guinea 12213 10600 73 0.52 0.60 6
## 43 Honduras 98212 40687 2675 0.83 2.72 270
## 44 Hungary 82780 20476 1889 4.52 2.28 196
## 45 India 8266914 7601429 123139 0.96 1.49 89
## 46 Indonesia 415402 345566 14044 0.63 3.38 51
## 47 Iran 628780 491247 35738 1.34 5.68 425
## 48 Iraq 478701 405777 11017 0.72 2.30 274
## 49 Ireland 62750 23364 1917 2.11 3.05 388
## 50 Israel 315636 303405 2580 0.35 0.82 298
## 51 Italy 731588 296017 39059 7.68 5.34 646
## 52 Japan 102548 93383 1788 0.47 1.74 14
## 53 Jordan 81743 7858 913 12.58 1.12 89
## 54 Kazakhstan 112860 106514 1825 0.39 1.62 97
## 55 Kenya 56601 37442 1027 2.55 1.81 19
## 56 Kuwait 127293 118386 786 0.60 0.62 184
## 57 Kyrgyzstan 59879 50741 1155 1.70 1.93 177
## 58 Lebanon 83697 43885 652 3.04 0.78 96
## 59 Libya 62907 36608 880 1.39 1.40 128
## 60 Lithuania 16556 4891 170 5.32 1.03 62
## 61 Luxembourg 19101 10717 160 6.51 0.84 256
## 62 Madagascar 17111 16409 244 0.00 1.43 9
## 63 Malaysia 33339 23120 251 2.57 0.75 8
## 64 Maldives 11737 10916 38 0.67 0.32 70
## 65 Mexico 929392 682044 91895 0.48 9.89 713
## 66 Moldova 76777 56875 1818 0.97 2.37 451
## 67 Montenegro 19210 14456 320 4.74 1.67 510
## 68 Morocco 225070 187101 3826 2.73 1.70 104
## 69 Mozambique 13130 10439 94 2.03 0.72 3
## 70 Myanmar 54607 37954 1282 2.25 2.35 24
## 71 Namibia 13012 11201 133 0.18 1.02 52
## 72 Nepal 176500 137992 984 1.69 0.56 34
## 73 Netherlands 368147 322 7463 2.30 2.03 436
## 74 Nigeria 63036 59328 1147 0.29 1.82 6
## 75 Norway 21088 11863 282 3.72 1.34 52
## 76 Oman 116152 106195 1256 0.36 1.08 246
## 77 Pakistan 335093 315016 6835 0.34 2.04 31
## 78 Palestinian Territory 54775 47169 493 1.32 0.90 NA
## 79 Panama 134336 111634 2706 0.55 2.01 627
## 80 Paraguay 63731 43403 1418 0.86 2.22 199
## 81 Peru 906545 830612 34585 0.45 3.82 1049
## 82 Philippines 385400 348830 7269 0.60 1.89 66
## 83 Poland 395480 154413 5875 4.10 1.49 155
## 84 Portugal 146847 83294 2590 3.94 1.76 254
## 85 Puerto Rico 66661 2267 832 0.81 1.25 291
## 86 Qatar 132917 129996 232 0.15 0.17 81
## 87 Republika Severna Makedonija 32997 21244 1025 4.51 3.11 NA
## 88 Romania 250704 177361 7153 1.64 2.85 372
## 89 Russia 1655038 1236033 28473 1.12 1.72 195
## 90 Saudi Arabia 348037 334672 5437 0.11 1.56 156
## 91 Senegal 15637 15059 325 0.04 2.08 19
## 92 Serbia 49205 31536 833 4.79 1.69 95
## 93 Singapore 58020 57924 28 0.00 0.05 5
## 94 Slovakia 61829 13012 219 3.14 0.35 40
## 95 Slovenia 36206 13297 388 1.56 1.07 187
## 96 South Africa 727595 657500 19465 0.30 2.68 328
## 97 South Korea 26732 24395 468 0.36 1.75 9
## 98 Spain 1313087 196958 36257 3.84 2.76 775
## 99 Sri Lanka 11335 5249 21 4.41 0.19 1
## 100 Sudan 13819 6764 837 0.11 6.06 19
## 101 Sweden 124355 4971 5938 0.00 4.78 588
## 102 Switzerland 176177 80400 2404 14.21 1.36 278
## 103 Tajikistan 11096 10337 82 0.38 0.74 9
## 104 Tunisia 61906 5032 1381 1.29 2.23 117
## 105 Turkey 379775 327007 10402 1.17 2.74 123
## 106 Uganda 12971 7556 114 3.81 0.88 2
## 107 Ukraine 402194 163768 7375 1.71 1.83 169
## 108 United Arab Emirates 135141 132024 497 0.92 0.37 50
## 109 United Kingdom 1053864 1918 46853 4.17 4.45 690
## 110 United States 9550837 6144359 236900 1.55 2.48 716
## 111 Uzbekistan 67254 64466 571 0.23 0.85 17
## 112 Venezuela 92325 87156 801 0.34 0.87 28
## 113 Zambia 16543 15733 349 0.38 2.11 19
## [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 2020-11-02 China Shanghai 1196 1096 7 9
## 2 2020-11-02 China Guangdong 1935 1891 8 8
## 3 2020-11-02 China Sichuan 754 713 3 8
## 4 2020-11-02 China Hong Kong 5336 5102 105 6
## 5 2020-11-02 China Xinjiang 964 899 3 5
## 6 2020-11-02 China Taiwan 563 519 7 5
## 7 2020-11-02 China Hubei 68143 63627 4512 4
## 8 2020-11-02 China Inner Mongolia 295 270 1 4
## 9 2020-11-02 China Tianjin 273 251 3 3
## 10 2020-11-02 China Beijing 944 929 9 2
## 11 2020-11-02 China Zhejiang 1287 1279 1 1
## 12 2020-11-02 China Shandong 848 836 7 1
## 13 2020-11-02 China Jiangsu 674 666 0 1