Ending day prediction of nCoV2019
05/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-09-04"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Italy 272912 208490 35507 0.51 13.01 587
## 2 United Kingdom 340411 1918 41527 0.51 12.20 612
## 3 Belgium 86544 18513 9899 0.74 11.44 854
## 4 Mexico 616894 430287 66329 0.97 10.75 514
## 5 France 300181 87206 30706 2.44 10.23 470
## 6 Netherlands 73208 322 6237 1.03 8.52 364
## 7 Canada 130493 115444 9141 0.44 7.00 242
## 8 Sweden 84985 4971 5835 0.30 6.87 578
## 9 Sudan 13189 6612 823 0.00 6.24 19
## 10 Ireland 29206 23364 1777 0.32 6.08 360
## 11 Spain 488513 196958 29234 1.87 5.98 625
## 12 Iran 382772 330308 22044 0.53 5.76 262
## 13 Ecuador 116360 102051 6648 0.78 5.71 377
## 14 Egypt 99425 75415 5479 0.15 5.51 54
## 15 China 90489 85241 4735 0.04 5.23 3
## 16 Switzerland 43532 36500 2013 0.94 4.62 233
## 17 Bolivia 118781 65884 5288 0.72 4.45 453
## 18 Peru 670145 489886 29405 1.01 4.39 892
## 19 Indonesia 187537 134181 7832 1.77 4.18 29
## 20 Romania 92595 39626 3812 1.47 4.12 198
## 21 Republika Severna Makedonija 14871 12054 609 0.74 4.10 NA
## 22 Bulgaria 16775 11935 658 0.95 3.92 95
## 23 Germany 249104 221534 9489 0.53 3.81 113
## 24 Afghanistan 38304 29713 1409 0.04 3.68 36
## 25 Guatemala 76358 64399 2804 0.94 3.67 157
## 26 Denmark 17974 15892 627 2.01 3.49 108
## 27 Algeria 45469 32006 1529 0.69 3.36 35
## 28 Colombia 641574 489151 20618 1.30 3.21 405
## 29 Honduras 63158 11618 1954 1.01 3.09 197
## 30 Brazil 4046150 3247610 124729 1.12 3.08 587
## 31 Portugal 59457 42576 1833 1.41 3.08 180
## 32 Bosnia and Herzegovina 20804 14120 636 0.00 3.06 194
## 33 United States 6336189 3575866 191116 0.71 3.02 577
## 34 Poland 69820 49820 2100 1.00 3.01 55
## 35 Iraq 252075 191368 7359 2.04 2.92 183
## 36 El Salvador 26099 15347 744 0.38 2.85 115
## 37 Australia 26136 22169 737 0.33 2.82 29
## 38 Chile 416501 389409 11422 0.42 2.74 598
## 39 Moldova 38372 27017 1036 1.67 2.70 257
## 40 Austria 28729 24513 735 1.26 2.56 82
## 41 Democratic Republic of the Congo 10125 9367 259 0.00 2.56 NA
## 42 Greece 10998 3804 278 2.24 2.53 27
## 43 Kyrgyzstan 44199 39389 1060 0.15 2.40 162
## 44 Norway 11120 9348 264 0.78 2.37 49
## 45 Turkey 274943 248087 6511 0.60 2.37 77
## 46 Zambia 12639 11572 292 0.93 2.31 16
## 47 South Africa 633015 554887 14563 0.38 2.30 246
## 48 Serbia 31772 30387 721 0.30 2.27 83
## 49 Panama 94914 68198 2046 0.88 2.16 474
## 50 Pakistan 297512 282268 6335 0.17 2.13 29
## 51 Cameroon 19604 18448 415 0.74 2.12 16
## 52 Ukraine 130951 59676 2761 2.12 2.11 63
## 53 Argentina 451198 331621 9468 2.74 2.10 209
## 54 Senegal 13881 9723 289 0.40 2.08 17
## 55 Armenia 44461 39257 891 0.43 2.00 301
## 56 Nigeria 54588 42627 1048 0.23 1.92 5
## 57 Japan 70993 59524 1352 0.84 1.90 11
## 58 Morocco 66855 51223 1253 2.14 1.87 34
## 59 Paraguay 19959 10251 373 4.29 1.87 52
## 60 Dominican Republic 96629 70871 1801 1.05 1.86 166
## 61 India 3948594 3043588 68682 1.96 1.74 50
## 62 Russia 1015105 832747 17649 0.51 1.74 121
## 63 Croatia 11428 8530 195 3.01 1.71 47
## 64 Kenya 34705 20644 585 0.61 1.69 11
## 65 Czech Republic 26452 18663 426 2.63 1.61 40
## 66 Philippines 232072 160549 3737 1.61 1.61 34
## 67 South Korea 20842 15783 331 0.96 1.59 6
## 68 Libya 16445 1910 262 4.26 1.59 38
## 69 Ethiopia 55213 20283 856 1.48 1.55 7
## 70 Kazakhstan 106121 98585 1588 0.08 1.50 85
## 71 Azerbaijan 37031 34419 543 0.81 1.47 54
## 72 Bangladesh 321615 216191 4412 0.60 1.37 27
## 73 Puerto Rico 34241 2267 455 0.70 1.33 159
## 74 Madagascar 15187 14075 198 0.54 1.30 7
## 75 Saudi Arabia 319141 295063 4015 0.26 1.26 115
## 76 Costa Rica 44458 17855 460 2.66 1.03 90
## 77 Belarus 72485 71510 701 0.25 0.97 74
## 78 Lebanon 18963 5338 179 3.20 0.94 26
## 79 Oman 86380 81828 705 0.00 0.82 138
## 80 Venezuela 49877 40574 402 2.03 0.81 14
## 81 Israel 125755 99487 991 2.42 0.79 114
## 82 Uzbekistan 42998 40392 338 0.73 0.79 10
## 83 Palestinian Territory 25142 16437 170 2.74 0.68 NA
## 84 Côte d'Ivoire 18208 17045 119 0.26 0.65 5
## 85 Ghana 44713 43577 280 0.00 0.63 9
## 86 Kuwait 88243 79417 537 0.99 0.61 126
## 87 Nepal 44236 25561 271 3.17 0.61 9
## 88 United Arab Emirates 72766 63158 387 0.85 0.53 39
## 89 Bahrain 53433 50013 192 1.19 0.36 113
## 90 Qatar 119637 116538 201 0.18 0.17 70
## 91 Singapore 56948 56028 27 0.07 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 2020-09-04 China Guangdong 1758 1722 8 13
## 2 2020-09-04 China Hong Kong 4850 4456 94 12
## 3 2020-09-04 China Shanghai 913 860 7 5
## 4 2020-09-04 China Guangxi 257 253 2 2
## 5 2020-09-04 China Shaanxi 373 360 3 2
## 6 2020-09-04 China Tianjin 231 214 3 1
## 7 2020-09-04 China Fujian 384 370 1 1
## 8 2020-09-04 China Sichuan 656 632 3 1
## 9 2020-09-04 China Taiwan 490 471 7 1