Ending day prediction of nCoV2019
25/08/2020
source('./predict.R')
## [1] "2020-08-24"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 5874295 3167164 180605 0.53 3.07 546
## 2 Brazil 3605783 2709638 114772 0.63 3.18 540
## 3 India 3110761 2338899 57715 1.98 1.86 42
## 4 Russia 961493 773095 16448 0.50 1.71 113
## 5 South Africa 609773 506470 13059 0.45 2.14 220
## 6 Peru 594326 399357 27663 1.55 4.65 839
## 7 Mexico 560164 383872 60480 0.71 10.80 469
## 8 Colombia 541147 374030 17316 1.51 3.20 340
## 9 Chile 397665 371179 10852 0.49 2.73 568
## 10 Iran 361150 311365 20776 0.63 5.75 247
## 11 Saudi Arabia 308654 282888 3691 0.38 1.20 106
## 12 Pakistan 293261 276829 6244 0.17 2.13 28
## 13 Argentina 342154 251400 6985 1.59 2.04 155
## 14 Turkey 258249 237165 6121 0.47 2.37 73
## 15 Germany 234834 209758 9427 0.42 4.01 113
## 16 Italy 259345 205470 35437 0.47 13.66 586
## 17 Spain 407879 196958 28838 0.00 7.07 617
## 18 Bangladesh 297083 182875 3983 0.84 1.34 24
## 19 Iraq 204341 146409 6428 1.64 3.15 160
## 20 Philippines 194252 132042 3010 2.45 1.55 27
## 21 Qatar 117266 114099 194 0.22 0.17 67
## 22 Canada 124896 111112 9073 0.21 7.26 240
## 23 Indonesia 155412 111060 6759 1.22 4.35 25
## 24 Ecuador 107769 94816 6310 0.63 5.86 358
## 25 Kazakhstan 104718 92598 1415 0.17 1.35 75
## 26 France 242899 84973 30513 2.06 12.56 467
## 27 China 90191 84508 4718 0.03 5.23 3
## 28 Israel 103274 80521 839 1.10 0.81 97
## 29 Oman 84509 78912 637 0.88 0.75 125
## 30 Kuwait 80528 72307 515 0.00 0.64 121
## 31 Belarus 70645 68925 646 0.25 0.91 68
## 32 Egypt 97340 65927 5262 0.11 5.41 51
## 33 Panama 86900 61420 1892 1.66 2.18 438
## 34 Dominican Republic 91161 60670 1567 0.66 1.72 144
## 35 United Arab Emirates 67282 58582 376 0.41 0.56 38
## 36 Guatemala 68188 56778 2594 0.49 3.80 145
## 37 Ukraine 106754 54524 2293 1.71 2.15 52
## 38 Singapore 56404 54164 27 0.09 0.05 5
## 39 Japan 63283 48550 1203 1.99 1.90 10
## 40 Bahrain 49330 45981 184 0.60 0.37 108
## 41 Bolivia 109149 45396 4509 0.67 4.13 386
## 42 Poland 62310 42448 1960 0.89 3.15 52
## 43 Ghana 43622 41695 263 0.27 0.60 8
## 44 Portugal 55720 40880 1801 0.48 3.23 177
## 45 Nigeria 52227 38945 1002 0.62 1.92 5
## 46 Kyrgyzstan 43126 36615 1057 0.24 2.45 162
## 47 Morocco 52349 36343 888 3.02 1.70 24
## 48 Armenia 42825 36049 854 0.08 1.99 288
## 49 Romania 79330 35517 3309 1.05 4.17 172
## 50 Uzbekistan 39065 34987 275 0.50 0.70 8
## 51 Switzerland 40060 34400 2001 0.39 5.00 231
## 52 Azerbaijan 35274 32993 518 0.00 1.47 51
## 53 Venezuela 39564 29966 329 1.56 0.83 12
## 54 Algeria 41460 29142 1435 0.95 3.46 33
## 55 Afghanistan 38054 28360 1389 0.14 3.65 36
## 56 Serbia 30657 28275 698 0.00 2.28 80
## 57 Ireland 27969 23364 1777 0.22 6.35 360
## 58 Moldova 33478 22683 940 1.23 2.81 233
## 59 Austria 25495 21657 733 0.96 2.88 81
## 60 Australia 24916 19603 517 0.42 2.07 20
## 61 Nepal 32678 18806 157 2.33 0.48 5
## 62 Kenya 32364 18670 548 0.00 1.69 10
## 63 Belgium 81936 18225 9992 0.57 12.19 862
## 64 Cameroon 18762 16540 408 0.00 2.17 15
## 65 Czech Republic 21923 16125 412 0.61 1.88 38
## 66 Côte d'Ivoire 17471 15301 113 0.56 0.65 4
## 67 Ethiopia 40671 14995 678 4.20 1.67 6
## 68 Denmark 16715 14494 622 0.47 3.72 107
## 69 South Korea 17665 14219 309 1.53 1.75 6
## 70 Madagascar 14402 13436 178 0.52 1.24 6
## 71 El Salvador 24811 12492 669 0.77 2.70 103
## 72 Palestinian Territory 19213 11870 130 2.19 0.68 NA
## 73 Bosnia and Herzegovina 18029 11861 547 1.77 3.03 167
## 74 Costa Rica 33820 10518 355 2.22 1.05 70
## 75 Bulgaria 15287 10338 545 0.39 3.57 78
## 76 Republika Severna Makedonija 13673 10150 568 0.57 4.15 NA
## 77 Zambia 11082 9942 280 2.32 2.53 15
## 78 Norway 10323 9150 264 0.23 2.56 49
## 79 Senegal 13013 8595 272 0.49 2.09 16
## 80 Honduras 54511 8532 1654 0.98 3.03 167
## 81 Paraguay 13233 7417 205 2.00 1.55 29
## 82 Sudan 12836 6497 815 1.21 6.35 19
## 83 Sweden 86068 4971 5810 0.00 6.75 575
## 84 Lebanon 12698 3625 123 4.16 0.97 18
## 85 Puerto Rico 30618 2267 390 3.52 1.27 136
## 86 United Kingdom 325642 1918 41429 0.32 12.72 610
## 87 Libya 11009 1096 199 5.48 1.81 29
## 88 Netherlands 67128 322 6202 0.86 9.24 362
## [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 2020-08-24 China Hong Kong 4691 4052 77 9
## 2 2020-08-24 China Shanghai 880 799 7 5
## 3 2020-08-24 China Fujian 375 365 1 3
## 4 2020-08-24 China Sichuan 631 611 3 3
## 5 2020-08-24 China Yunnan 198 189 2 3
## 6 2020-08-24 China Shanxi 202 201 0 1
## 7 2020-08-24 China Shandong 831 798 7 1