Ending day prediction of nCoV2019
13/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-11-12"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 10708728 6648705 247398 1.32 2.31 747
## 2 Brazil 5749007 5064344 163406 0.84 2.84 769
## 3 India 8685084 8064698 128179 0.57 1.48 93
## 4 Mexico 986177 731468 96430 0.78 9.78 748
## 5 United Kingdom 1256725 1918 50365 1.86 4.01 742
## 6 Italy 1028424 372113 42953 3.31 4.18 710
## 7 France 1865538 133696 42535 1.96 2.28 652
## 8 Iran 726585 541566 40121 1.61 5.52 478
## 9 Spain 1463093 196958 40105 1.32 2.74 858
## 10 Peru 928006 853208 35031 0.28 3.77 1062
## 11 Argentina 1273356 1081897 34531 0.86 2.71 764
## 12 Colombia 1165326 1070423 33312 0.75 2.86 655
## 13 Russia 1858568 1388168 32032 1.18 1.72 219
## 14 South Africa 742394 686458 20011 0.29 2.70 337
## 15 Indonesia 452291 382084 14933 0.93 3.30 55
## 16 Chile 524804 501426 14633 0.17 2.79 765
## 17 Belgium 515391 31130 13758 1.56 2.67 1187
## 18 Ecuador 176630 154956 12920 0.52 7.31 732
## 19 Germany 725340 454724 12104 2.88 1.67 144
## 20 Iraq 511806 439228 11532 1.29 2.25 287
## 21 Turkey 402053 344613 11145 0.67 2.77 132
## 22 Canada 277061 223199 10685 1.47 3.86 283
## 23 Ukraine 500865 227694 9145 2.26 1.83 209
## 24 Poland 641496 254349 9080 3.67 1.42 240
## 25 Bolivia 142776 115718 8818 0.08 6.18 755
## 26 Romania 334236 224916 8510 3.13 2.55 442
## 27 Netherlands 430453 322 8304 2.63 1.93 485
## 28 Philippines 402820 362417 7721 0.35 1.92 70
## 29 Pakistan 349992 320849 7055 0.52 2.02 32
## 30 Egypt 109881 100662 6405 0.21 5.83 63
## 31 Bangladesh 427198 344868 6140 0.43 1.44 37
## 32 Sweden 171365 4971 6122 5.62 3.57 606
## 33 Saudi Arabia 352160 339114 5605 0.20 1.59 161
## 34 Czech Republic 438805 285241 5570 2.08 1.27 520
## 35 China 92372 87027 4749 0.04 5.14 3
## 36 Morocco 270626 221743 4506 2.06 1.67 122
## 37 Guatemala 112811 102643 3845 0.61 3.41 215
## 38 Switzerland 250396 130000 3168 2.84 1.27 366
## 39 Portugal 192172 110353 3103 2.64 1.61 304
## 40 Panama 142465 120823 2823 0.82 1.98 654
## 41 Honduras 101169 43857 2797 0.36 2.76 282
## 42 Hungary 126790 29302 2784 3.20 2.20 288
## 43 Israel 321326 310605 2700 0.13 0.84 312
## 44 Dominican Republic 131265 109057 2272 0.10 1.73 209
## 45 Tunisia 74522 51750 2100 2.09 2.82 178
## 46 Algeria 64257 42980 2093 1.28 3.26 48
## 47 Ireland 66247 23364 1965 0.54 2.97 398
## 48 Moldova 84707 66115 1950 1.33 2.30 483
## 49 Kazakhstan 118491 108632 1899 0.50 1.60 101
## 50 Bulgaria 87311 26714 1898 4.73 2.17 273
## 51 Japan 113808 100005 1871 1.48 1.64 15
## 52 Bosnia and Herzegovina 68293 33690 1750 5.03 2.56 533
## 53 Armenia 112680 70130 1668 1.93 1.48 563
## 54 Austria 181642 107875 1608 10.18 0.89 179
## 55 Afghanistan 42795 35024 1591 0.44 3.72 41
## 56 Ethiopia 100727 62497 1545 0.40 1.53 13
## 57 Paraguay 69106 49545 1532 0.89 2.22 215
## 58 Costa Rica 119768 73509 1513 1.01 1.26 297
## 59 Myanmar 65598 49563 1508 3.73 2.30 28
## 60 Jordan 126401 9416 1467 4.48 1.16 144
## 61 Oman 119442 110050 1326 0.21 1.11 260
## 62 Republika Severna Makedonija 42540 25353 1212 3.20 2.85 NA
## 63 Kyrgyzstan 64887 55824 1193 0.82 1.84 183
## 64 Nepal 204242 164592 1189 0.95 0.58 41
## 65 Kenya 65804 43626 1180 1.88 1.79 22
## 66 Nigeria 64516 60737 1162 0.28 1.80 6
## 67 Sudan 14346 9525 1116 1.35 7.78 25
## 68 El Salvador 36030 32246 1028 2.52 2.85 158
## 69 Belarus 110455 92843 1027 1.00 0.93 109
## 70 Libya 71804 42703 985 1.30 1.37 143
## 71 Serbia 70424 31536 936 5.29 1.33 107
## 72 Croatia 75922 58649 925 4.23 1.22 225
## 73 Greece 63321 9989 909 4.54 1.44 87
## 74 Australia 27699 25464 907 0.05 3.27 36
## 75 Azerbaijan 70216 51986 905 4.19 1.29 89
## 76 Puerto Rico 73544 2267 901 0.41 1.23 315
## 77 Venezuela 95750 90743 838 0.32 0.88 29
## 78 Kuwait 134932 125593 830 0.58 0.62 194
## 79 Lebanon 98829 54869 763 1.98 0.77 112
## 80 Denmark 58466 43994 753 1.73 1.29 130
## 81 Slovenia 50864 30027 686 3.94 1.35 330
## 82 Georgia 69681 52169 599 4.69 0.86 150
## 83 Uzbekistan 69475 66672 593 0.44 0.85 18
## 84 Albania 25801 12493 590 2.00 2.29 205
## 85 Palestinian Territory 60784 52861 542 2.29 0.89 NA
## 86 United Arab Emirates 146735 141215 523 0.78 0.36 53
## 87 South Korea 27942 25404 487 0.51 1.74 9
## 88 Slovakia 81772 24314 464 3.27 0.57 85
## 89 Cameroon 22490 21510 433 0.31 1.93 16
## 90 Finland 18542 14000 365 1.07 1.97 66
## 91 Montenegro 24865 16542 356 2.94 1.43 567
## 92 Zambia 17056 16102 350 0.35 2.05 19
## 93 Bahrain 84042 81658 332 0.28 0.40 195
## 94 Senegal 15744 15386 326 0.06 2.07 19
## 95 Ghana 49808 48019 320 1.03 0.64 10
## 96 Democratic Republic of the Congo 11656 10963 316 0.12 2.71 NA
## 97 Angola 12953 6125 312 1.07 2.41 9
## 98 Malaysia 43791 32069 303 2.14 0.69 9
## 99 Norway 26511 11863 291 2.41 1.10 54
## 100 Madagascar 17223 16516 249 0.00 1.45 9
## 101 Lithuania 29812 7096 244 5.48 0.82 90
## 102 Qatar 135132 132153 234 0.18 0.17 81
## 103 Luxembourg 24505 14094 206 3.35 0.84 329
## 104 Uganda 14993 7939 139 1.97 0.93 3
## 105 Namibia 13292 11739 134 0.29 1.01 53
## 106 Côte d'Ivoire 20855 20572 127 0.04 0.61 5
## 107 Mozambique 13991 11959 104 0.71 0.74 3
## 108 Tajikistan 11456 10811 84 0.34 0.73 9
## 109 Guinea 12516 10879 74 0.26 0.59 6
## 110 French Guiana 10762 9995 70 0.31 0.65 234
## 111 French Polynesia 11316 4842 52 3.14 0.46 185
## 112 Sri Lanka 15627 10653 48 6.20 0.31 2
## 113 Maldives 12059 11199 41 0.24 0.34 76
## 114 Singapore 58102 57990 28 0.02 0.05 5
## [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 2020-11-12 China Hong Kong 5430 5170 108 23
## 2 2020-11-12 China Sichuan 783 733 3 5
## 3 2020-11-12 China Taiwan 589 532 7 5
## 4 2020-11-12 China Shanghai 1271 1164 7 3
## 5 2020-11-12 China Shaanxi 482 434 3 2
## 6 2020-11-12 China Henan 1287 1259 22 1
## 7 2020-11-12 China Fujian 460 420 1 1
## 8 2020-11-12 China Inner Mongolia 307 281 1 1
## 9 2020-11-12 China Gansu 181 177 2 1