Ending day prediction of nCoV2019
11/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-11-09"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Afghanistan 42297 34721 1574 0.49 3.72 40
## 2 Albania 24731 12203 571 4.33 2.31 198
## 3 Algeria 62693 42325 2062 2.14 3.29 47
## 4 Angola 12680 5927 308 2.80 2.43 9
## 5 Argentina 1250499 1073577 33907 1.10 2.71 750
## 6 Armenia 107466 64910 1580 0.98 1.47 533
## 7 Australia 27668 25454 907 0.04 3.28 36
## 8 Austria 158746 94627 1454 3.65 0.92 161
## 9 Azerbaijan 66046 49411 852 3.60 1.29 84
## 10 Bahrain 83632 81225 329 0.44 0.39 193
## 11 Bangladesh 421921 339768 6092 0.40 1.44 37
## 12 Belarus 107262 91353 1011 1.88 0.94 107
## 13 Belgium 500789 29651 13055 1.34 2.61 1126
## 14 Bolivia 142475 114466 8795 0.03 6.17 753
## 15 Bosnia and Herzegovina 63419 31222 1583 3.61 2.50 483
## 16 Brazil 5675766 5064344 162638 0.39 2.87 765
## 17 Bulgaria 78976 25283 1771 6.03 2.24 255
## 18 Cameroon 22421 21510 433 0.35 1.93 16
## 19 Canada 268735 218400 10564 3.34 3.93 280
## 20 Chile 522879 498904 14588 0.56 2.79 763
## 21 China 92271 86925 4748 0.03 5.15 3
## 22 Colombia 1149063 1047017 32974 1.11 2.87 648
## 23 Costa Rica 117587 72249 1491 1.05 1.27 293
## 24 Côte d'Ivoire 20835 20516 126 0.11 0.60 5
## 25 Croatia 68776 53002 832 2.27 1.21 203
## 26 Czech Republic 417181 244005 5028 1.45 1.21 470
## 27 Democratic Republic of the Congo 11608 10893 316 0.50 2.72 NA
## 28 Denmark 55635 40815 743 1.63 1.34 128
## 29 Dominican Republic 130603 108383 2267 0.74 1.74 209
## 30 Ecuador 175269 154956 12839 1.03 7.33 728
## 31 Egypt 109422 100439 6380 0.42 5.83 62
## 32 El Salvador 35145 31172 1014 0.00 2.89 156
## 33 Ethiopia 99982 60710 1530 0.79 1.53 13
## 34 Finland 17887 12700 363 0.51 2.03 66
## 35 France 1807479 129735 40987 3.36 2.27 628
## 36 French Guiana 10715 9995 70 0.10 0.65 234
## 37 French Polynesia 10680 4842 49 6.85 0.46 174
## 38 Georgia 60680 45042 499 5.07 0.82 125
## 39 Germany 688281 429547 11670 4.70 1.70 139
## 40 Ghana 49202 47726 320 0.61 0.65 10
## 41 Greece 58187 9989 825 6.16 1.42 79
## 42 Guatemala 111360 101478 3823 0.28 3.43 213
## 43 Guinea 12459 10847 74 0.36 0.59 6
## 44 Honduras 100508 42959 2751 0.47 2.74 278
## 45 Hungary 114778 26161 2493 4.71 2.17 258
## 46 India 8591075 7957206 127104 0.98 1.48 92
## 47 Indonesia 440569 372266 14689 0.65 3.33 54
## 48 Iran 692949 525641 38749 1.53 5.59 461
## 49 Iraq 501733 432233 11380 1.15 2.27 283
## 50 Ireland 65659 23364 1948 1.24 2.97 395
## 51 Israel 319888 309200 2678 0.27 0.84 309
## 52 Italy 960373 345289 41750 6.41 4.35 691
## 53 Japan 109283 97654 1836 0.72 1.68 15
## 54 Jordan 114986 9033 1295 9.72 1.13 127
## 55 Kazakhstan 116772 107843 1857 0.53 1.59 99
## 56 Kenya 63244 42659 1130 2.39 1.79 21
## 57 Kuwait 132478 123314 816 0.56 0.62 191
## 58 Kyrgyzstan 63390 54358 1182 0.91 1.86 181
## 59 Lebanon 95355 51728 732 2.43 0.77 107
## 60 Libya 69040 40780 944 1.36 1.37 137
## 61 Lithuania 25755 5813 210 4.28 0.82 77
## 62 Luxembourg 23227 13913 193 3.32 0.83 308
## 63 Madagascar 17223 16516 249 0.65 1.45 9
## 64 Malaysia 41181 29579 294 2.42 0.71 9
## 65 Maldives 12009 11132 40 0.39 0.33 74
## 66 Mexico 967825 715977 95027 0.61 9.82 737
## 67 Moldova 82677 63646 1912 1.23 2.31 474
## 68 Montenegro 23608 16089 342 5.49 1.45 545
## 69 Morocco 259951 212905 4356 3.08 1.68 118
## 70 Mozambique 13823 11659 99 1.81 0.72 3
## 71 Myanmar 61975 46661 1437 2.70 2.32 26
## 72 Namibia 13240 11620 134 0.53 1.01 53
## 73 Nepal 197024 159724 1126 1.32 0.57 39
## 74 Netherlands 414745 322 8043 2.56 1.94 469
## 75 Nigeria 64184 60069 1158 0.62 1.80 6
## 76 Norway 25325 11863 285 4.46 1.13 53
## 77 Oman 118503 108968 1310 0.31 1.11 257
## 78 Pakistan 344839 318881 6977 0.48 2.02 32
## 79 Palestinian Territory 58838 50877 521 2.05 0.89 NA
## 80 Panama 140331 118711 2808 1.32 2.00 651
## 81 Paraguay 67948 48437 1502 1.50 2.21 211
## 82 Peru 923527 848346 34943 0.38 3.78 1060
## 83 Philippines 398449 361784 7647 0.52 1.92 70
## 84 Poland 568138 219371 8045 3.97 1.42 213
## 85 Portugal 183420 102083 2959 5.69 1.61 290
## 86 Puerto Rico 72166 2267 872 0.89 1.21 305
## 87 Qatar 134433 131490 232 0.17 0.17 81
## 88 Republika Severna Makedonija 40275 24229 1156 3.85 2.87 NA
## 89 Romania 306991 206793 8009 1.07 2.61 416
## 90 Russia 1796132 1335141 30793 1.23 1.71 211
## 91 Saudi Arabia 350984 337788 5559 0.22 1.58 160
## 92 Senegal 15711 15349 326 0.02 2.07 19
## 93 Serbia 64065 31536 901 5.66 1.41 103
## 94 Singapore 58064 57981 28 0.01 0.05 5
## 95 Slovakia 76072 19757 366 0.76 0.48 67
## 96 Slovenia 45625 23533 578 1.03 1.27 278
## 97 South Africa 738525 680726 19845 0.36 2.69 335
## 98 South Korea 27553 25029 480 0.46 1.74 9
## 99 Spain 1426602 196958 39345 2.75 2.76 842
## 100 Sri Lanka 14285 8880 35 6.45 0.25 2
## 101 Sudan 14155 9492 1116 1.52 7.88 25
## 102 Sweden 146461 4971 6022 0.00 4.11 596
## 103 Switzerland 229222 87300 2902 8.17 1.27 335
## 104 Tajikistan 11376 10711 83 0.73 0.73 9
## 105 Tunisia 71569 48103 1920 2.91 2.68 162
## 106 Turkey 396831 340286 10972 1.30 2.76 130
## 107 Uganda 14574 7771 133 3.61 0.91 3
## 108 Ukraine 469018 209143 8565 1.89 1.83 196
## 109 United Arab Emirates 143289 138959 515 0.81 0.36 52
## 110 United Kingdom 1213363 1918 49238 3.58 4.06 725
## 111 United States 10413119 6537237 244404 2.23 2.35 738
## 112 Uzbekistan 68879 66107 586 0.54 0.85 18
## 113 Venezuela 94883 89755 826 0.20 0.87 29
## 114 Zambia 16971 16011 349 0.10 2.06 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 2020-11-09 China Hong Kong 5380 5146 107 6
## 2 2020-11-09 China Guangdong 1955 1909 8 6
## 3 2020-11-09 China Shaanxi 478 434 3 6
## 4 2020-11-09 China Shanghai 1259 1151 7 5
## 5 2020-11-09 China Sichuan 776 728 3 3
## 6 2020-11-09 China Fujian 459 419 1 3
## 7 2020-11-09 China Beijing 947 929 9 2
## 8 2020-11-09 China Zhejiang 1291 1279 1 1
## 9 2020-11-09 China Jiangsu 675 666 0 1
## 10 2020-11-09 China Taiwan 578 526 7 1
## 11 2020-11-09 China Tianjin 277 263 3 1