Ending day prediction of nCoV2019
14/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-09-09"
## country cum_confirm cum_heal cum_dead d_rate d_pm
## 1 United States 6515506 3797553 194075 2.98 586
## 2 Brazil 4165124 3397234 127517 3.06 600
## 3 India 4382518 3406270 74028 1.69 54
## 4 Mexico 642860 451159 68484 10.65 531
## 5 United Kingdom 352560 1918 41586 11.80 613
## 6 Italy 280153 210801 35563 12.69 588
## 7 France 335524 88226 30764 9.17 471
## 8 Peru 696190 529751 30123 4.33 914
## 9 Spain 534513 196958 29594 5.54 633
## 10 Iran 393425 339111 22669 5.76 270
## 11 Colombia 679513 541462 21817 3.21 429
## 12 Russia 1041007 856458 18135 1.74 124
## 13 South Africa 640441 567729 15086 2.36 254
## 14 Chile 425541 397730 11682 2.75 611
## 15 Ecuador 118045 102304 10627 9.00 602
## 16 Argentina 500034 382490 10457 2.09 231
## 17 Belgium 89141 18602 9912 11.12 855
## 18 Germany 255304 226875 9502 3.72 113
## 19 Canada 133748 117565 9153 6.84 243
## 20 Indonesia 203342 145200 8336 4.10 30
## 21 Iraq 269578 206324 7657 2.84 190
## 22 Bolivia 122308 75098 7097 5.80 608
## 23 Turkey 283270 253245 6782 2.39 80
## 24 Pakistan 299659 286506 6359 2.12 29
## 25 Netherlands 77688 322 6246 8.04 365
## 26 Sweden 85880 4971 5842 6.80 578
## 27 Egypt 100228 79886 5560 5.55 54
## 28 China 90588 85423 4740 5.23 3
## 29 Bangladesh 331078 230804 4593 1.39 28
## 30 Saudi Arabia 323012 298966 4165 1.29 120
## 31 Romania 98304 41002 4018 4.09 209
## 32 Philippines 245143 185543 3986 1.63 36
## 33 Ukraine 143030 64703 2979 2.08 68
## 34 Guatemala 78721 67462 2890 3.67 161
## 35 Poland 71947 57135 2147 2.98 57
## 36 Panama 98407 70751 2107 2.14 488
## 37 Honduras 65218 14273 2034 3.12 205
## 38 Switzerland 45306 38100 2019 4.46 233
## 39 Dominican Republic 100131 73795 1889 1.89 174
## 40 Portugal 61541 43284 1849 3.00 181
## 41 Ireland 30080 23364 1778 5.91 360
## 42 Kazakhstan 106498 100042 1634 1.53 87
## 43 Algeria 46938 33183 1571 3.35 36
## 44 Morocco 75721 57239 1427 1.88 39
## 45 Afghanistan 38544 31048 1420 3.68 36
## 46 Japan 73337 63282 1412 1.93 11
## 47 Moldova 40556 28578 1087 2.68 269
## 48 Nigeria 55456 43334 1067 1.92 5
## 49 Kyrgyzstan 44613 40336 1061 2.38 163
## 50 Israel 139013 107599 1048 0.75 121
## 51 Ethiopia 60784 22677 949 1.56 8
## 52 Armenia 45152 41023 905 2.00 305
## 53 Sudan 13437 6730 833 6.20 19
## 54 Australia 26465 22863 781 2.95 31
## 55 El Salvador 26602 16786 770 2.89 119
## 56 Oman 87939 83115 751 0.85 147
## 57 Austria 30583 25764 747 2.44 83
## 58 Serbia 32078 30780 728 2.27 83
## 59 Belarus 73402 71999 726 0.99 77
## 60 Bulgaria 17313 12297 692 4.00 100
## 61 Bosnia and Herzegovina 22258 15208 675 3.03 206
## 62 Republika Severna Makedonija 15293 12754 634 4.15 NA
## 63 Denmark 19035 16330 628 3.30 108
## 64 Kenya 35356 21483 599 1.69 11
## 65 Azerbaijan 37732 35119 555 1.47 55
## 66 Kuwait 92082 82222 552 0.60 129
## 67 Costa Rica 49897 19285 531 1.06 104
## 68 Puerto Rico 35507 2267 500 1.41 175
## 69 Paraguay 24214 11920 463 1.91 65
## 70 Venezuela 55563 44435 444 0.80 16
## 71 Czech Republic 29877 20164 441 1.48 41
## 72 Cameroon 19848 18448 415 2.09 16
## 73 United Arab Emirates 75981 67359 393 0.52 40
## 74 Uzbekistan 44781 42162 364 0.81 11
## 75 South Korea 21588 17023 344 1.59 7
## 76 Libya 20462 2329 324 1.58 47
## 77 Albania 10553 6239 321 3.04 112
## 78 Nepal 49219 33882 312 0.63 11
## 79 Zambia 13112 11839 300 2.29 16
## 80 Senegal 14102 10176 293 2.08 17
## 81 Greece 11832 3804 290 2.45 28
## 82 Ghana 45188 44042 283 0.63 9
## 83 Norway 11623 9348 264 2.27 49
## 84 Democratic Republic of the Congo 10324 9523 260 2.52 NA
## 85 Lebanon 21324 6722 207 0.97 30
## 86 Croatia 12626 9833 206 1.63 50
## 87 Madagascar 15520 14243 206 1.33 7
## 88 Qatar 120579 117497 205 0.17 71
## 89 Bahrain 56778 51574 202 0.36 119
## 90 Palestinian Territory 27919 18466 192 0.69 NA
## 91 Côte d'Ivoire 18778 17688 119 0.63 5
## 92 Singapore 57166 56461 27 0.05 5
## [1] "Pakistan leading 1 cum_confirm == 0 trimed"
