Ending day prediction of nCoV2019
01/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-08-31"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 6175600 3425907 187232 0.58 3.03 566
## 2 Brazil 3862311 3031559 120896 0.40 3.13 569
## 3 India 3641048 2791264 64807 2.66 1.78 47
## 4 Russia 995319 809387 17176 0.50 1.73 118
## 5 South Africa 625056 538604 14028 0.40 2.24 237
## 6 Peru 647166 455457 28788 1.21 4.45 873
## 7 Colombia 607938 450621 19364 1.34 3.19 381
## 8 Mexico 595841 412580 64158 0.70 10.77 498
## 9 Chile 409974 382584 11244 0.48 2.74 588
## 10 Iran 375212 323233 21571 0.44 5.75 257
## 11 Argentina 408426 294007 8457 1.79 2.07 187
## 12 Saudi Arabia 315772 290796 3897 0.30 1.23 112
## 13 Pakistan 295849 280682 6294 0.07 2.13 28
## 14 Turkey 268546 243839 6326 0.55 2.36 75
## 15 Germany 243605 217282 9464 0.27 3.88 113
## 16 Italy 268218 208536 35477 0.51 13.23 587
## 17 Bangladesh 312996 204887 4281 0.70 1.37 26
## 18 Spain 455621 196958 29011 0.00 6.37 620
## 19 Iraq 231177 172880 6959 1.64 3.01 173
## 20 Philippines 220819 157562 3558 1.57 1.61 32
## 21 Indonesia 174796 125959 7417 1.59 4.24 27
## 22 Qatar 118778 115667 197 0.17 0.17 68
## 23 Canada 127940 113664 9117 0.21 7.13 242
## 24 Ecuador 113648 101620 6555 0.66 5.77 372
## 25 Kazakhstan 105795 96297 1523 0.11 1.44 81
## 26 Israel 115057 93801 922 1.24 0.80 107
## 27 France 277943 86177 30606 1.99 11.01 469
## 28 China 90395 85030 4730 0.03 5.23 3
## 29 Oman 85722 80810 685 0.21 0.80 134
## 30 Kuwait 85109 77224 531 0.56 0.62 124
## 31 Egypt 98727 72120 5399 0.23 5.47 53
## 32 Belarus 71843 70468 681 0.45 0.95 72
## 33 Dominican Republic 94241 66776 1681 0.54 1.78 155
## 34 Panama 92065 65747 1995 0.80 2.17 462
## 35 Guatemala 73912 61681 2740 0.32 3.71 153
## 36 United Arab Emirates 69690 60600 382 0.00 0.55 39
## 37 Bolivia 115968 58497 4966 0.53 4.28 425
## 38 Ukraine 121215 57114 2557 1.80 2.11 58
## 39 Japan 68516 56164 1298 -0.53 1.89 10
## 40 Singapore 56812 55586 27 0.07 0.05 5
## 41 Bahrain 51574 48654 190 0.36 0.37 112
## 42 Poland 67372 46638 2039 0.75 3.03 54
## 43 Morocco 61399 46355 1111 2.24 1.81 30
## 44 Ghana 44205 42777 276 0.00 0.62 9
## 45 Portugal 57768 41885 1819 0.56 3.15 178
## 46 Nigeria 53865 41513 1013 0.26 1.88 5
## 47 Uzbekistan 41787 39068 319 0.88 0.76 10
## 48 Kyrgyzstan 43898 38459 1058 0.18 2.41 162
## 49 Romania 87540 37869 3621 0.87 4.14 188
## 50 Armenia 43781 37722 879 0.07 2.01 297
## 51 Venezuela 45868 37091 381 2.05 0.83 13
## 52 Switzerland 42177 35800 2005 0.39 4.75 232
## 53 Azerbaijan 36435 33847 534 0.72 1.47 53
## 54 Algeria 44146 30978 1501 0.83 3.40 34
## 55 Serbia 31365 29931 711 0.27 2.27 81
## 56 Afghanistan 38165 29089 1402 0.01 3.67 36
## 57 Moldova 36700 25139 992 0.81 2.70 246
## 58 Ireland 28760 23364 1777 0.14 6.18 360
## 59 Austria 27438 23226 733 1.00 2.67 81
## 60 Nepal 39460 21410 228 2.33 0.58 8
## 61 Australia 25746 21350 652 0.30 2.53 26
## 62 Kenya 34057 19688 574 0.78 1.69 11
## 63 Belgium 85042 18415 9894 0.52 11.63 854
## 64 Ethiopia 51122 18382 793 2.96 1.55 7
## 65 Cameroon 19142 17651 411 0.00 2.15 15
## 66 Czech Republic 24367 17547 423 1.13 1.74 39
## 67 Côte d'Ivoire 17948 16553 115 0.31 0.64 4
## 68 Costa Rica 39699 15737 418 0.00 1.05 82
## 69 Denmark 17410 15492 624 0.54 3.58 108
## 70 Palestinian Territory 22729 15056 152 2.36 0.67 NA
## 71 South Korea 19947 14973 324 1.26 1.62 6
## 72 El Salvador 25729 14292 717 0.37 2.79 111
## 73 Madagascar 14863 13832 192 0.13 1.29 7
## 74 Bosnia and Herzegovina 19964 13095 609 0.86 3.05 186
## 75 Zambia 12097 11469 288 0.60 2.38 16
## 76 Bulgaria 16190 11313 613 0.16 3.79 88
## 77 Republika Severna Makedonija 14341 11157 603 0.08 4.20 NA
## 78 Honduras 60174 10242 1858 0.89 3.09 188
## 79 Senegal 13611 9439 284 0.41 2.09 17
## 80 Norway 10643 9348 264 0.30 2.48 49
## 81 Paraguay 17105 9146 308 3.83 1.80 43
## 82 Democratic Republic of the Congo 10045 9103 258 0.00 2.57 NA
## 83 Croatia 10269 7434 186 1.44 1.81 45
## 84 Sudan 13189 6612 823 0.00 6.24 19
## 85 Sweden 84379 4971 5808 0.50 6.88 575
## 86 Lebanon 16870 4693 160 3.66 0.95 23
## 87 Greece 10134 3804 262 1.57 2.59 25
## 88 Puerto Rico 33199 2267 434 1.07 1.31 152
## 89 United Kingdom 334467 1918 41499 0.52 12.41 611
## 90 Libya 13966 1459 237 4.05 1.70 34
## 91 Netherlands 70667 322 6224 0.75 8.81 363
## [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 2020-08-31 China Hong Kong 4810 4342 89 9
## 2 2020-08-31 China Shanghai 903 840 7 6
## 3 2020-08-31 China Tianjin 229 213 3 4
## 4 2020-08-31 China Fujian 382 366 1 2
## 5 2020-08-31 China Shanxi 203 201 0 1
## 6 2020-08-31 China Zhejiang 1278 1268 1 1
## 7 2020-08-31 China Guangdong 1739 1719 8 1
## 8 2020-08-31 China Shaanxi 365 355 3 1