Ending day prediction of nCoV2019
07/08/2020
source('./predict.R')
## [1] "2020-08-06"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 France 194029 82166 30305 0.88 15.62 464
## 2 United Kingdom 307184 1918 46364 0.00 15.09 683
## 3 Italy 248803 200976 35181 0.15 14.14 582
## 4 Belgium 71158 17661 9859 0.72 13.86 851
## 5 Mexico 456100 304708 49698 1.36 10.90 385
## 6 Netherlands 56982 322 6153 1.07 10.80 359
## 7 Spain 352847 196958 28499 0.84 8.08 610
## 8 Canada 118187 102788 8962 0.34 7.58 237
## 9 Sweden 81967 4971 5766 0.52 7.03 571
## 10 Ireland 26303 23364 1763 0.19 6.70 357
## 11 Ecuador 88866 71168 5847 1.03 6.58 331
## 12 Sudan 11780 6194 763 0.00 6.48 17
## 13 Iran 320117 277463 17976 0.83 5.62 214
## 14 Switzerland 36108 31600 1985 1.01 5.50 229
## 15 China 88900 82008 4685 0.15 5.27 3
## 16 Egypt 94875 47182 4930 0.13 5.20 48
## 17 Indonesia 118753 75645 5521 1.61 4.65 20
## 18 Republika Severna Makedonija 11399 7480 517 0.97 4.54 NA
## 19 Peru 447624 306430 20228 1.76 4.52 613
## 20 Romania 57895 28992 2566 2.38 4.43 133
## 21 Germany 214519 199313 9330 0.47 4.35 111
## 22 Denmark 14561 12958 617 1.73 4.24 107
## 23 Bolivia 85141 26437 3385 2.14 3.98 290
## 24 Guatemala 53509 41199 2072 0.00 3.87 116
## 25 Algeria 33055 22802 1261 1.70 3.81 29
## 26 Kyrgyzstan 38659 30099 1447 1.44 3.74 222
## 27 Iraq 140603 101025 5161 2.22 3.67 128
## 28 Poland 49515 35642 1774 1.49 3.58 47
## 29 Afghanistan 36896 25840 1298 0.18 3.52 33
## 30 Brazil 2862761 2020637 97418 1.95 3.40 458
## 31 Colombia 345714 186317 11624 3.20 3.36 228
## 32 Portugal 52061 37840 1743 0.41 3.35 171
## 33 Bulgaria 12717 7154 424 2.44 3.33 61
## 34 Austria 21696 19596 719 0.60 3.31 80
## 35 United States 4975284 2541479 161660 1.10 3.25 488
## 36 Honduras 45098 6116 1423 1.80 3.16 144
## 37 Moldova 26222 18167 823 0.00 3.14 204
## 38 Bosnia and Herzegovina 13306 7031 384 1.28 2.89 117
## 39 El Salvador 18701 9157 513 0.00 2.74 79
## 40 Chile 364723 338291 9792 0.49 2.68 512
## 41 Turkey 236112 219506 5784 0.50 2.45 69
## 42 Ukraine 76808 42524 1819 1.75 2.37 42
## 43 Japan 44286 28028 1035 3.46 2.34 8
## 44 Serbia 27332 14047 621 1.11 2.27 71
## 45 Cameroon 17718 15320 391 0.00 2.21 15
## 46 Czech Republic 17529 11909 388 1.41 2.21 36
## 47 Panama 70231 44792 1553 1.16 2.21 360
## 48 Pakistan 281863 256058 6035 0.26 2.14 27
## 49 South Korea 14499 13501 302 0.30 2.08 6
## 50 Senegal 10715 7101 223 1.68 2.08 13
## 51 India 1977972 1335309 40888 2.66 2.07 30
## 52 Nigeria 44890 32165 927 1.03 2.07 4
## 53 Armenia 39819 31556 772 0.59 1.94 261
## 54 Argentina 220682 96948 4106 3.35 1.86 91
## 55 Philippines 119460 66837 2150 3.00 1.80 20
## 56 Ethiopia 20336 8598 356 2.31 1.75 3
## 57 South Africa 529877 377266 9298 1.64 1.75 157
## 58 Russia 871894 676357 14606 0.61 1.68 100
## 59 Kenya 23873 9930 391 0.00 1.64 7
## 60 Dominican Republic 75660 40122 1222 1.84 1.62 113
## 61 Morocco 28500 19994 435 4.71 1.53 12
## 62 Azerbaijan 33247 29275 479 0.44 1.44 47
## 63 Bangladesh 249651 143824 3306 1.21 1.32 20
## 64 Puerto Rico 19934 0 258 1.44 1.29 90
## 65 Australia 19890 10941 255 2.29 1.28 10
## 66 Kazakhstan 95942 68871 1058 1.12 1.10 56
## 67 Madagascar 12526 10148 134 2.49 1.07 5
## 68 Saudi Arabia 284226 247089 3055 0.50 1.07 88
## 69 Costa Rica 20417 6851 191 2.92 0.94 37
## 70 Venezuela 22299 12146 195 4.02 0.87 7
## 71 Belarus 68503 63756 580 0.19 0.85 61
## 72 Israel 78514 53362 569 2.28 0.72 66
## 73 Kuwait 70045 61610 469 0.89 0.67 110
## 74 Palestinian Territory 13398 6907 89 2.55 0.66 NA
## 75 Côte d'Ivoire 16349 12191 103 0.34 0.63 4
## 76 Uzbekistan 28315 19291 175 2.76 0.62 5
## 77 Oman 80713 70910 492 1.96 0.61 96
## 78 United Arab Emirates 61606 55385 353 0.00 0.57 36
## 79 Ghana 39642 36384 199 1.45 0.50 6
## 80 Bahrain 42514 39576 156 0.91 0.37 92
## 81 Nepal 21750 15389 65 1.68 0.30 2
## 82 Qatar 112092 108831 178 0.50 0.16 62
## 83 Singapore 54555 47768 27 0.55 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 2020-08-06 China Hong Kong 3849 2458 44 95
## 2 2020-08-06 China Xinjiang 773 133 3 27
## 3 2020-08-06 China Shanghai 757 728 7 5
## 4 2020-08-06 China Liaoning 258 165 2 3
## 5 2020-08-06 China Shandong 805 786 7 1
## 6 2020-08-06 China Shaanxi 328 318 3 1
## 7 2020-08-06 China Taiwan 477 441 7 1