Ending day prediction of nCoV2019
20/08/2020
source('./predict.R')
## [1] "2020-08-19"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Iraq 188802 134369 6121 4.81 3.24 152
## 2 Paraguay 10606 6402 161 4.65 1.52 23
## 3 Ethiopia 32722 12938 572 4.42 1.75 5
## 4 Puerto Rico 27934 2267 356 4.39 1.27 124
## 5 Morocco 44803 31002 714 2.86 1.59 19
## 6 Philippines 173774 113481 2795 2.70 1.61 26
## 7 Colombia 489122 312323 15619 2.61 3.19 307
## 8 Venezuela 35697 24561 297 2.57 0.83 10
## 9 Nepal 28938 17700 120 2.41 0.41 4
## 10 Zambia 10218 9126 269 2.37 2.63 15
## 11 Argentina 305966 228725 6114 2.29 2.00 135
## 12 Bosnia and Herzegovina 16691 10711 507 2.08 3.04 155
## 13 Ukraine 96403 49737 2144 2.08 2.22 49
## 14 India 2786999 2052736 53164 2.01 1.91 39
## 15 Romania 73617 33566 3106 1.95 4.22 161
## 16 Costa Rica 29643 9462 314 1.92 1.06 62
## 17 Japan 58848 43835 1149 1.88 1.95 9
## 18 South Korea 16058 14006 306 1.88 1.91 6
## 19 Israel 96996 72498 719 1.82 0.74 83
## 20 Bolivia 103019 38623 4172 1.77 4.05 357
## 21 Palestinian Territory 17606 10312 115 1.73 0.65 NA
## 22 Uzbekistan 36968 32557 247 1.69 0.67 7
## 23 Brazil 3411872 2554179 110019 1.45 3.22 518
## 24 Peru 549321 374019 26658 1.45 4.85 809
## 25 Guatemala 63847 52370 2419 1.43 3.79 135
## 26 Czech Republic 20483 15146 401 1.39 1.96 37
## 27 Moldova 30789 21885 908 1.36 2.95 225
## 28 Indonesia 144945 98657 6346 1.33 4.38 23
## 29 Honduras 51670 7661 1593 1.32 3.08 161
## 30 Poland 58611 40099 1913 1.27 3.26 51
## 31 United Arab Emirates 65341 58022 367 1.24 0.56 37
## 32 Bulgaria 14669 9699 519 1.17 3.54 75
## 33 Ecuador 102941 87183 6105 1.17 5.93 346
## 34 Senegal 12446 7877 258 1.15 2.07 15
## 35 El Salvador 23717 11388 633 1.09 2.67 98
## 36 Austria 24084 20958 729 1.07 3.03 81
## 37 Algeria 39444 27653 1391 1.07 3.53 32
## 38 Mexico 531239 363307 57774 1.05 10.88 448
## 39 France 221267 84065 30451 1.02 13.76 467
## 40 Bangladesh 285091 165738 3781 0.97 1.33 23
## 41 Australia 23993 15246 450 0.93 1.88 18
## 42 Kuwait 78145 69771 507 0.87 0.65 119
## 43 Netherlands 64525 322 6181 0.86 9.58 361
## 44 Bahrain 47581 43921 175 0.84 0.37 103
## 45 Nigeria 49895 37051 981 0.83 1.97 5
## 46 Republika Severna Makedonija 13076 9625 551 0.82 4.21 NA
## 47 Azerbaijan 34620 32363 510 0.81 1.47 50
## 48 Switzerland 38760 33500 1996 0.81 5.15 231
## 49 Ghana 42993 40796 248 0.80 0.58 8
## 50 United States 5657561 3012058 175119 0.79 3.10 529
## 51 Denmark 16246 13778 621 0.74 3.82 107
## 52 Iran 350279 302528 20125 0.70 5.75 240
## 53 Ireland 27499 23364 1775 0.68 6.45 359
## 54 Germany 228454 206864 9402 0.64 4.12 112
## 55 Spain 384270 196958 28670 0.56 7.46 613
## 56 Serbia 30048 27702 684 0.53 2.28 78
## 57 Russia 937321 749423 15989 0.52 1.71 110
## 58 Qatar 115956 112658 193 0.51 0.17 67
## 59 Armenia 42056 35226 833 0.50 1.98 281
## 60 Turkey 251805 232913 6016 0.50 2.39 71
## 61 Sudan 12546 6429 808 0.49 6.44 18
## 62 Belgium 78897 18048 9959 0.46 12.62 859
## 63 Madagascar 14074 12921 173 0.46 1.23 6
## 64 Dominican Republic 87123 55504 1489 0.45 1.71 137
## 65 Saudi Arabia 302686 274091 3506 0.45 1.16 101
## 66 Portugal 54448 39936 1784 0.39 3.28 175
## 67 South Africa 592144 485468 12264 0.38 2.07 207
## 68 Chile 388855 362440 10546 0.35 2.71 552
## 69 United Kingdom 320286 1918 41381 0.34 12.92 610
## 70 Panama 82790 57191 1809 0.30 2.19 419
## 71 Kazakhstan 103571 86286 1415 0.26 1.37 75
## 72 Côte d'Ivoire 17150 14183 110 0.25 0.64 4
## 73 Canada 123154 109357 9045 0.23 7.34 240
## 74 Oman 83606 78188 603 0.23 0.72 118
## 75 Sweden 85411 4971 5802 0.23 6.79 574
## 76 Norway 10111 8857 262 0.22 2.59 48
## 77 Pakistan 290445 272128 6201 0.21 2.13 28
## 78 Egypt 96753 61562 5184 0.17 5.36 51
## 79 Singapore 56031 52533 27 0.17 0.05 5
## 80 Italy 254636 204142 35405 0.16 13.90 586
## 81 Cameroon 18599 16540 406 0.09 2.18 15
## 82 China 90009 84020 4713 0.05 5.24 3
## 83 Afghanistan 37599 27166 1375 0.00 3.66 35
## 84 Belarus 69673 67339 617 0.00 0.89 65
## 85 Kenya 30636 17368 487 0.00 1.59 9
## 86 Kyrgyzstan 42146 34855 1498 0.00 3.55 230
## [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 2020-08-19 China Hong Kong 4586 3779 72 26
## 2 2020-08-19 China Shanghai 850 769 7 8
## 3 2020-08-19 China Guangdong 1725 1689 8 4
## 4 2020-08-19 China Zhejiang 1277 1268 1 2
## 5 2020-08-19 China Shaanxi 358 335 3 2
## 6 2020-08-19 China Shandong 823 793 7 1