Ending day prediction of nCoV2019
27/08/2020
source('./predict.R')
## [1] "2020-08-26"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Libya 11834 1152 210 4.90 1.77 31
## 2 Paraguay 14228 7883 231 4.60 1.62 32
## 3 Lebanon 13687 3723 138 4.04 1.01 20
## 4 Ethiopia 43688 15796 709 3.67 1.62 6
## 5 Nepal 34418 19504 175 2.64 0.51 6
## 6 Philippines 202361 133460 3137 2.64 1.55 29
## 7 Argentina 359638 263202 7563 2.50 2.10 167
## 8 Costa Rica 35305 13073 376 2.44 1.07 74
## 9 Palestinian Territory 20155 13929 135 2.42 0.67 NA
## 10 Morocco 54528 38293 955 2.40 1.75 26
## 11 Venezuela 41158 32015 343 2.03 0.83 12
## 12 Israel 107341 85893 867 1.98 0.81 100
## 13 Colombia 562128 395470 17889 1.89 3.18 352
## 14 South Korea 18265 14368 312 1.78 1.71 6
## 15 India 3246929 2474743 59736 1.72 1.84 43
## 16 Czech Republic 22548 16662 416 1.65 1.84 39
## 17 Guatemala 69651 57891 2630 1.63 3.78 147
## 18 Romania 81646 36286 3421 1.56 4.19 178
## 19 Bosnia and Herzegovina 18609 12336 571 1.54 3.07 174
## 20 Ukraine 110085 53454 2354 1.54 2.14 54
## 21 Indonesia 160165 115409 6944 1.46 4.34 25
## 22 France 248158 85524 30544 1.35 12.31 468
## 23 Bulgaria 15589 10601 572 1.32 3.67 82
## 24 Austria 26033 22145 733 1.27 2.82 81
## 25 Brazil 3674176 2848395 116666 1.27 3.18 549
## 26 Zambia 11285 10400 282 1.23 2.50 15
## 27 Peru 607382 414577 28001 1.16 4.61 849
## 28 Poland 63802 43399 1994 1.16 3.13 53
## 29 Japan 64002 50431 1217 1.13 1.90 10
## 30 Cameroon 18973 16540 410 1.12 2.16 15
## 31 United Arab Emirates 68020 59070 378 1.10 0.56 38
## 32 Panama 88381 62759 1919 1.02 2.17 445
## 33 Senegal 13186 8852 275 1.00 2.09 16
## 34 Switzerland 40645 34800 2003 0.95 4.93 231
## 35 Algeria 42228 29587 1456 0.88 3.45 33
## 36 Mexico 568621 393101 61450 0.87 10.81 477
## 37 Kuwait 82271 73906 521 0.86 0.63 122
## 38 Netherlands 68114 322 6215 0.85 9.12 363
## 39 Bangladesh 302147 190183 4082 0.84 1.35 25
## 40 Bolivia 110999 48875 4664 0.77 4.20 400
## 41 Kenya 32803 19055 559 0.76 1.70 10
## 42 Bahrain 50076 46673 186 0.72 0.37 109
## 43 Honduras 55877 9124 1703 0.72 3.05 172
## 44 Ecuador 109030 95025 6368 0.68 5.84 361
## 45 Dominican Republic 92217 62460 1585 0.66 1.72 146
## 46 Portugal 56274 41184 1807 0.65 3.21 177
## 47 United States 5956661 3255161 182449 0.65 3.06 551
## 48 Iran 365606 314870 21020 0.62 5.75 250
## 49 El Salvador 25140 13046 687 0.62 2.73 106
## 50 Australia 25204 20100 549 0.60 2.18 22
## 51 Turkey 261194 238795 6163 0.58 2.36 73
## 52 Germany 237468 210570 9436 0.57 3.97 113
## 53 Spain 423224 196958 28924 0.57 6.83 619
## 54 Norway 10454 9150 264 0.57 2.53 49
## 55 Madagascar 14554 13582 181 0.55 1.24 7
## 56 Denmark 16905 14823 623 0.50 3.69 108
## 57 Nigeria 52800 39964 1007 0.48 1.91 5
## 58 Russia 970865 786150 16683 0.48 1.72 114
## 59 Belgium 82447 18291 9996 0.43 12.12 862
## 60 Qatar 117742 114558 194 0.41 0.16 67
## 61 Uzbekistan 39790 35983 289 0.38 0.73 9
## 62 United Kingdom 327798 1918 41449 0.36 12.64 611
## 63 Belarus 70974 69378 657 0.35 0.93 70
## 64 Chile 400985 374463 10958 0.35 2.73 573
## 65 Italy 261174 206015 35445 0.34 13.57 586
## 66 Saudi Arabia 310836 284945 3755 0.34 1.21 108
## 67 Puerto Rico 30720 2267 395 0.33 1.29 138
## 68 Côte d'Ivoire 17562 15908 114 0.32 0.65 4
## 69 Armenia 43067 36726 861 0.31 2.00 291
## 70 Ireland 28201 23364 1777 0.30 6.30 360
## 71 Canada 125969 112050 9090 0.26 7.22 241
## 72 Kyrgyzstan 43358 37217 1057 0.26 2.44 162
## 73 South Africa 613017 520381 13308 0.26 2.17 224
## 74 Ghana 43717 41843 270 0.22 0.62 9
## 75 Sweden 87072 4971 5817 0.21 6.68 576
## 76 Oman 84818 79409 646 0.20 0.76 127
## 77 Kazakhstan 105075 93990 1523 0.16 1.45 81
## 78 Pakistan 294193 278939 6267 0.16 2.13 28
## 79 Egypt 97619 67717 5298 0.14 5.43 52
## 80 Afghanistan 38113 29042 1401 0.11 3.68 36
## 81 Singapore 56495 54816 27 0.11 0.05 5
## 82 China 90264 84680 4720 0.04 5.23 3
## 83 Azerbaijan 35559 33190 521 0.00 1.47 51
## 84 Iraq 211947 153761 6596 0.00 3.11 164
## 85 Moldova 34358 23869 960 0.00 2.79 238
## 86 Republika Severna Makedonija 13799 10210 573 0.00 4.15 NA
## 87 Serbia 30820 29132 705 0.00 2.29 81
## 88 Sudan 12974 6557 819 0.00 6.31 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 2020-08-26 China Hong Kong 4735 4161 79 25
## 2 2020-08-26 China Sichuan 640 617 3 5
## 3 2020-08-26 China Shanghai 886 807 7 4
## 4 2020-08-26 China Guangdong 1734 1704 8 4
## 5 2020-08-26 China Yunnan 199 189 2 1