Ending day prediction of nCoV2019
07/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-09-06"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Afghanistan 38398 30537 1412 0.19 3.68 36
## 2 Albania 10102 5976 312 1.35 3.09 108
## 3 Algeria 46071 32481 1549 0.65 3.36 35
## 4 Argentina 471806 349132 9807 2.15 2.08 217
## 5 Armenia 44783 40089 897 0.30 2.00 303
## 6 Australia 26278 22462 753 0.27 2.87 30
## 7 Austria 29271 25043 736 0.63 2.51 82
## 8 Azerbaijan 37329 34705 548 0.37 1.47 54
## 9 Bahrain 54771 50645 199 1.25 0.36 117
## 10 Bangladesh 325157 221275 4479 0.49 1.38 27
## 11 Belarus 72663 71843 705 0.00 0.97 75
## 12 Belgium 87825 18555 9906 0.75 11.28 855
## 13 Bolivia 120241 69566 5398 0.55 4.49 462
## 14 Bosnia and Herzegovina 21560 14709 655 0.56 3.04 200
## 15 Brazil 4123000 3296702 126230 0.76 3.06 594
## 16 Bulgaria 17050 12132 671 0.57 3.94 97
## 17 Cameroon 19604 18448 415 0.00 2.12 16
## 18 Canada 131495 116136 9143 0.28 6.95 242
## 19 Chile 420434 392967 11551 0.47 2.75 604
## 20 China 90539 85337 4735 0.03 5.23 3
## 21 Colombia 658456 507770 21156 1.29 3.21 416
## 22 Costa Rica 46920 18211 478 2.71 1.02 94
## 23 Côte d'Ivoire 18472 17323 119 1.11 0.64 5
## 24 Croatia 11964 9008 198 1.92 1.65 48
## 25 Czech Republic 27752 19039 431 1.85 1.55 40
## 26 Democratic Republic of the Congo 10178 9420 259 0.00 2.54 NA
## 27 Denmark 17974 15979 627 0.00 3.49 108
## 28 Dominican Republic 98776 71901 1840 2.22 1.86 170
## 29 Ecuador 118045 102304 6724 0.74 5.70 381
## 30 Egypt 99712 77208 5511 0.13 5.53 54
## 31 El Salvador 26308 15815 759 0.39 2.89 117
## 32 Ethiopia 57466 20776 897 1.68 1.56 8
## 33 France 317706 87447 30724 2.77 9.67 471
## 34 Germany 251442 223683 9498 0.44 3.78 113
## 35 Ghana 44777 43693 283 0.00 0.63 9
## 36 Greece 11386 3804 280 1.66 2.46 27
## 37 Guatemala 77481 65595 2845 0.57 3.67 159
## 38 Honduras 64352 13115 2006 0.87 3.12 203
## 39 India 4131690 3195459 70802 2.08 1.71 51
## 40 Indonesia 194109 138575 8025 1.81 4.13 29
## 41 Iran 386658 333900 22293 0.52 5.77 265
## 42 Iraq 256719 195259 7422 0.00 2.89 185
## 43 Ireland 29534 23364 1777 0.79 6.02 360
## 44 Israel 129349 102107 1010 2.32 0.78 117
## 45 Italy 276338 209610 35534 0.62 12.86 588
## 46 Japan 72037 62076 1366 1.47 1.90 11
## 47 Kazakhstan 106301 99018 1588 0.07 1.49 85
## 48 Kenya 35103 21230 597 0.24 1.70 11
## 49 Kuwait 89582 80521 544 0.70 0.61 127
## 50 Kyrgyzstan 44403 39826 1060 0.25 2.39 162
## 51 Lebanon 20011 5868 187 2.67 0.93 27
## 52 Libya 17749 2081 285 3.83 1.61 41
## 53 Madagascar 15319 14139 200 0.33 1.31 7
## 54 Mexico 629409 438754 67326 1.01 10.70 522
## 55 Moldova 39797 27799 1063 2.29 2.67 264
## 56 Morocco 70160 53929 1329 2.27 1.89 36
## 57 Nepal 46257 28941 289 2.16 0.62 10
## 58 Netherlands 74787 322 6243 1.25 8.35 364
## 59 Nigeria 54905 42922 1054 0.30 1.92 5
## 60 Norway 11296 9348 264 0.58 2.34 49
## 61 Oman 87072 82406 728 0.80 0.84 143
## 62 Pakistan 298509 285898 6342 0.16 2.12 29
## 63 Palestinian Territory 26127 16843 181 2.16 0.69 NA
## 64 Panama 96305 69223 2075 0.74 2.15 481
## 65 Paraguay 21871 10810 412 5.89 1.88 58
## 66 Peru 683702 506422 29687 1.01 4.34 900
## 67 Philippines 237365 184687 3875 1.19 1.63 35
## 68 Poland 70824 54256 2120 0.62 2.99 56
## 69 Portugal 60258 42953 1840 1.35 3.05 180
## 70 Puerto Rico 34492 2267 464 0.73 1.35 162
## 71 Qatar 120095 116998 203 0.19 0.17 70
## 72 Republika Severna Makedonija 15090 12235 617 1.47 4.09 NA
## 73 Romania 95014 40307 3893 1.23 4.10 202
## 74 Russia 1025505 840949 17820 0.51 1.74 122
## 75 Saudi Arabia 320688 296737 4081 0.24 1.27 117
## 76 Senegal 13987 9922 290 0.28 2.07 17
## 77 Serbia 31905 30637 724 0.18 2.27 83
## 78 Singapore 57022 56267 27 0.07 0.05 5
## 79 South Africa 636884 561204 14779 0.28 2.32 249
## 80 South Korea 21177 16146 334 0.79 1.58 7
## 81 Spain 517133 196958 29418 0.00 5.69 629
## 82 Sudan 13407 6725 832 1.65 6.21 19
## 83 Sweden 84985 4971 5835 0.00 6.87 578
## 84 Switzerland 44401 37100 2013 1.01 4.53 233
## 85 Turkey 278228 250092 6620 0.60 2.38 78
## 86 Ukraine 135894 62227 2846 1.57 2.09 65
## 87 United Arab Emirates 73984 66095 388 0.70 0.52 39
## 88 United Kingdom 344164 1918 41549 0.53 12.07 612
## 89 United States 6434526 3707186 192886 0.69 3.00 583
## 90 Uzbekistan 43476 40880 345 0.93 0.79 10
## 91 Venezuela 52165 42006 420 2.34 0.81 15
## 92 Zambia 12776 11674 295 1.08 2.31 16
## [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 2020-09-06 China Hong Kong 4878 4510 94 21
## 2 2020-09-06 China Guangdong 1763 1727 8 3
## 3 2020-09-06 China Shaanxi 377 360 3 3
## 4 2020-09-06 China Shanghai 918 869 7 2
## 5 2020-09-06 China Fujian 386 372 1 1
## 6 2020-09-06 China Taiwan 493 473 7 1