Ending day prediction of nCoV2019
16/09/2020
options(width = 100)
source('./predict.R')
## [1] "2020-09-15"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Peru 738020 580753 30927 1.15 4.19 938
## 2 Belgium 94306 18737 9927 0.91 10.53 857
## 3 Spain 603167 196958 30004 4.59 4.97 642
## 4 Bolivia 127619 85198 7394 0.65 5.79 633
## 5 Chile 437983 409944 12040 0.74 2.75 630
## 6 Brazil 4382263 3671128 133119 1.20 3.04 626
## 7 Ecuador 119553 97063 10963 0.81 9.17 621
## 8 United Kingdom 374228 1918 41664 1.55 11.13 614
## 9 United States 6785830 4059526 200098 1.11 2.95 605
## 10 Italy 289990 214645 35633 0.78 12.29 589
## 11 Sweden 87345 4971 5851 0.97 6.70 579
## 12 Mexico 671716 475795 71049 0.50 10.58 551
## 13 Panama 102204 74782 2173 0.45 2.13 504
## 14 France 395104 89891 30999 3.68 7.85 475
## 15 Colombia 728590 607978 23288 1.71 3.20 458
## 16 Netherlands 84778 322 6258 1.65 7.38 365
## 17 Ireland 31549 23364 1787 1.82 5.66 362
## 18 Armenia 46119 41941 920 0.33 1.99 310
## 19 Moldova 43734 32293 1143 1.76 2.61 283
## 20 Iran 407353 349984 23453 0.67 5.76 279
## 21 South Africa 651521 583126 15641 0.27 2.40 264
## 22 Argentina 565446 438883 11710 1.78 2.07 259
## 23 Canada 138582 121567 9188 1.41 6.63 243
## 24 Switzerland 47751 39900 2028 0.66 4.25 234
## 25 Bosnia and Herzegovina 23929 16701 725 5.04 3.03 221
## 26 Romania 105298 43244 4236 1.07 4.02 220
## 27 Honduras 68620 18487 2087 1.23 3.04 211
## 28 Iraq 298702 233346 8166 2.59 2.73 203
## 29 Puerto Rico 38172 2267 551 5.48 1.44 193
## 30 Dominican Republic 104803 78387 1998 1.10 1.91 184
## 31 Portugal 65021 44362 1875 1.12 2.88 184
## 32 Guatemala 82684 71983 2984 0.95 3.61 167
## 33 Kyrgyzstan 44999 41103 1063 0.16 2.36 163
## 34 Oman 90660 84113 797 0.49 0.88 156
## 35 Israel 164402 120727 1147 4.83 0.70 133
## 36 Kuwait 96301 86219 568 0.87 0.59 133
## 37 Russia 1073849 884305 18785 0.52 1.75 129
## 38 Saudi Arabia 326930 305022 4338 0.39 1.33 125
## 39 Bahrain 61643 54831 213 1.82 0.35 125
## 40 Costa Rica 58137 21536 633 1.19 1.09 124
## 41 El Salvador 27088 19450 792 0.29 2.92 122
## 42 Albania 11672 6668 340 2.81 2.91 118
## 43 Germany 264944 233664 9528 1.31 3.60 114
## 44 Denmark 21013 16983 633 3.37 3.01 109
## 45 Bulgaria 18216 13057 736 1.66 4.04 106
## 46 Kazakhstan 106920 100836 1634 0.06 1.53 87
## 47 Turkey 294620 261260 7186 1.48 2.44 85
## 48 Austria 34305 27354 757 2.28 2.21 84
## 49 Serbia 32511 31313 735 0.32 2.26 84
## 50 Belarus 74552 72661 761 0.51 1.02 81
## 51 Paraguay 28367 14814 539 1.98 1.90 76
## 52 Ukraine 159702 70810 3264 1.85 2.04 75
## 53 Qatar 122214 119144 208 0.39 0.17 72
## 54 Hungary 13879 4130 646 2.07 4.65 67
## 55 India 5018034 3939111 82091 3.45 1.64 59
## 56 Poland 75134 61548 2227 0.81 2.96 59
## 57 Azerbaijan 38517 35998 566 0.50 1.47 56
## 58 Libya 24144 13252 383 2.89 1.59 56
## 59 Croatia 13749 11412 230 1.72 1.67 56
## 60 Egypt 101340 85745 5679 0.33 5.60 55
## 61 Norway 12330 10371 265 1.45 2.15 49
## 62 Morocco 90324 71047 1648 4.20 1.82 45
## 63 Czech Republic 38187 22526 476 2.16 1.25 44
## 64 Philippines 269407 207352 4663 1.32 1.73 43
## 65 United Arab Emirates 80940 70635 401 1.83 0.50 41
## 66 Algeria 48734 34385 1632 0.99 3.35 37
## 67 Afghanistan 38815 32098 1426 0.11 3.67 37
## 68 Lebanon 25449 9216 252 4.69 0.99 37
## 69 Indonesia 225030 161065 8965 1.58 3.98 33
## 70 Australia 26739 23652 816 0.18 3.05 32
## 71 Greece 13730 3804 313 3.70 2.28 30
## 72 Bangladesh 341056 245594 4802 0.51 1.41 29
## 73 Pakistan 302424 290261 6389 0.13 2.11 29
## 74 Sudan 13535 6759 836 2.90 6.18 19
## 75 Senegal 14529 10692 298 1.56 2.05 18
## 76 Zambia 13819 12590 324 2.07 2.34 18
## 77 Venezuela 61569 49371 494 2.09 0.80 17
## 78 Cameroon 20271 18837 415 0.52 2.05 16
## 79 Nepal 56788 40638 371 2.41 0.65 13
## 80 Japan 76571 67831 1468 1.05 1.92 12
## 81 Uzbekistan 48429 44942 402 1.70 0.83 12
## 82 Kenya 36205 23243 624 0.13 1.72 12
## 83 Ethiopia 65486 25988 1035 1.38 1.58 9
## 84 Ghana 45655 44797 294 0.49 0.64 9
## 85 Madagascar 15803 14452 214 0.22 1.35 8
## 86 South Korea 22391 18878 367 0.48 1.64 7
## 87 Singapore 57488 56884 27 2.19 0.05 5
## 88 Nigeria 56478 44430 1088 4.28 1.93 5
## 89 Côte d'Ivoire 19100 18228 120 0.46 0.63 5
## 90 Guinea 10111 9444 63 0.66 0.62 5
## 91 China 90734 85605 4743 0.02 5.23 3
## 92 Palestinian Territory 32250 21804 229 2.83 0.71 NA
## 93 Republika Severna Makedonija 15925 13418 661 0.62 4.15 NA
## 94 Democratic Republic of the Congo 10401 9817 267 0.11 2.57 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 2020-09-15 China Hong Kong 4975 4646 102 4
## 2 2020-09-15 China Sichuan 670 650 3 4
## 3 2020-09-15 China Shanghai 950 904 7 2
## 4 2020-09-15 China Fujian 392 377 1 2
## 5 2020-09-15 China Guangdong 1783 1753 8 1
## 6 2020-09-15 China Zhejiang 1282 1272 1 1
## 7 2020-09-15 China Yunnan 205 195 2 1