Ending day prediction of nCoV2019
08/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-09-07"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 6461353 3726099 193253 0.42 2.99 584
## 2 India 4224014 3267231 71844 2.23 1.70 52
## 3 Brazil 4137606 3317227 126686 0.35 3.06 596
## 4 Russia 1030690 843277 17871 0.51 1.73 122
## 5 Peru 689977 515039 29838 0.92 4.32 905
## 6 Colombia 666521 518229 21412 1.22 3.21 421
## 7 South Africa 638517 563891 14889 0.26 2.33 251
## 8 Mexico 634023 442268 67558 0.73 10.66 524
## 9 Spain 517133 196958 29418 0.00 5.69 629
## 10 Argentina 478792 357388 9912 1.48 2.07 219
## 11 Chile 422510 394399 11592 0.49 2.74 606
## 12 Iran 388810 335572 22410 0.56 5.76 267
## 13 United Kingdom 347152 1918 41551 0.87 11.97 612
## 14 Bangladesh 327359 224573 4516 0.68 1.38 27
## 15 France 324777 87447 30724 2.23 9.46 471
## 16 Saudi Arabia 321456 297623 4107 0.24 1.28 118
## 17 Pakistan 298903 286016 6345 0.13 2.12 29
## 18 Turkey 279806 251105 6673 0.57 2.38 79
## 19 Italy 277634 210015 35541 0.47 12.80 588
## 20 Iraq 260370 198560 7512 1.42 2.89 187
## 21 Germany 252101 224724 9498 0.26 3.77 113
## 22 Philippines 238727 184906 3890 0.57 1.63 35
## 23 Indonesia 196989 140652 8130 1.48 4.13 30
## 24 Ukraine 138068 62606 2877 1.60 2.08 66
## 25 Israel 131970 103849 1022 2.03 0.77 118
## 26 Canada 131895 116357 9145 0.30 6.93 242
## 27 Bolivia 120769 71489 7008 0.44 5.80 600
## 28 Qatar 120095 116998 203 0.00 0.17 70
## 29 Ecuador 118045 102304 10524 0.00 8.92 596
## 30 Kazakhstan 106361 99654 1588 0.06 1.49 85
## 31 Egypt 99863 78108 5530 0.15 5.54 54
## 32 Dominican Republic 99333 72567 1845 0.56 1.86 170
## 33 Panama 97043 69661 2086 0.77 2.15 483
## 34 Romania 95897 40454 3926 0.93 4.09 204
## 35 China 90564 85367 4739 0.03 5.23 3
## 36 Kuwait 90387 81037 546 0.90 0.60 128
## 37 Belgium 88367 18565 9907 0.62 11.21 855
## 38 Oman 87328 82805 734 0.29 0.84 144
## 39 Sweden 85558 4971 5837 0.67 6.82 578
## 40 Guatemala 77683 66131 2852 0.26 3.67 159
## 41 Netherlands 74787 322 6243 0.00 8.35 364
## 42 United Arab Emirates 74454 66533 390 0.64 0.52 39
## 43 Belarus 73031 71883 716 0.51 0.98 76
## 44 Morocco 72394 55274 1361 3.18 1.88 37
## 45 Japan 72321 62536 1380 0.39 1.91 11
## 46 Poland 71126 55113 2124 0.43 2.99 56
## 47 Honduras 64764 13418 2007 0.64 3.10 203
## 48 Portugal 60258 42953 1840 0.00 3.05 180
## 49 Ethiopia 58672 21307 918 2.10 1.56 8
## 50 Singapore 57044 56333 27 0.04 0.05 5
## 51 Bahrain 55415 50946 200 1.18 0.36 118
## 52 Nigeria 55005 43013 1057 0.18 1.92 5
## 53 Venezuela 53289 42006 428 2.15 0.80 15
## 54 Nepal 47236 30677 300 2.12 0.64 10
## 55 Costa Rica 46920 18211 478 0.00 1.02 94
## 56 Algeria 46364 32745 1556 0.64 3.36 35
## 57 Armenia 44845 40121 900 0.14 2.01 304
## 58 Ghana 44777 43693 283 0.00 0.63 9
## 59 Switzerland 44592 37100 2014 0.43 4.52 233
## 60 Kyrgyzstan 44458 39960 1060 0.12 2.38 162
## 61 Uzbekistan 43775 41277 350 0.69 0.80 10
## 62 Moldova 39797 27799 1063 0.00 2.67 264
## 63 Afghanistan 38494 30557 1415 0.25 3.68 36
## 64 Azerbaijan 37418 34837 551 0.24 1.47 54
## 65 Kenya 35103 21230 597 0.00 1.70 11
## 66 Puerto Rico 34533 2267 477 0.12 1.38 167
## 67 Serbia 31941 30637 725 0.11 2.27 83
## 68 Ireland 29672 23364 1777 0.47 5.99 360
## 69 Austria 29561 25300 746 0.99 2.52 83
## 70 Czech Republic 28156 19053 436 1.46 1.55 41
## 71 Palestinian Territory 26779 17270 184 2.50 0.69 NA
## 72 El Salvador 26413 16137 764 0.40 2.89 118
## 73 Australia 26322 22603 762 0.17 2.89 30
## 74 Paraguay 22486 11133 435 2.81 1.93 61
## 75 Bosnia and Herzegovina 21660 14830 664 0.46 3.07 202
## 76 South Korea 21296 16297 336 0.56 1.58 7
## 77 Lebanon 20426 6139 191 2.07 0.94 28
## 78 Cameroon 19604 18448 415 0.00 2.12 16
## 79 Libya 18834 2126 296 6.11 1.57 43
## 80 Côte d'Ivoire 18588 17472 119 0.63 0.64 5
## 81 Denmark 18310 16153 627 1.87 3.42 108
## 82 Bulgaria 17089 12157 676 0.23 3.96 97
## 83 Madagascar 15352 14184 202 0.22 1.32 7
## 84 Republika Severna Makedonija 15127 12486 623 0.25 4.12 NA
## 85 Senegal 14014 10037 291 0.19 2.08 17
## 86 Sudan 13437 6730 833 0.22 6.20 19
## 87 Zambia 12776 11674 295 0.00 2.31 16
## 88 Croatia 12081 9266 201 0.98 1.66 49
## 89 Greece 11524 3804 284 1.21 2.46 27
## 90 Norway 11388 9348 264 0.81 2.32 49
## 91 Albania 10255 6106 316 1.51 3.08 110
## 92 Democratic Republic of the Congo 10233 9451 260 0.54 2.54 NA
## [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 2020-09-07 China Hong Kong 4889 4524 98 11
## 2 2020-09-07 China Shanghai 922 872 7 4
## 3 2020-09-07 China Guangdong 1767 1733 8 4
## 4 2020-09-07 China Tianjin 233 215 3 2
## 5 2020-09-07 China Sichuan 658 634 3 2
## 6 2020-09-07 China Chongqing 584 577 6 1
## 7 2020-09-07 China Taiwan 494 475 7 1