Ending day prediction of nCoV2019
25/10/2020
options(width = 100)
source('./predict.R')## [1] "2020-10-24"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Mexico 880775 641075 88312 0.00 10.03 685
## 2 Ecuador 159614 134187 12542 0.85 7.86 711
## 3 Italy 504509 264117 37210 4.05 7.38 615
## 4 Bolivia 140612 107633 8608 0.12 6.12 737
## 5 Sudan 13733 6764 836 0.07 6.09 19
## 6 Egypt 106397 98813 6187 0.16 5.82 60
## 7 Iran 562705 450891 32320 1.04 5.74 385
## 8 Sweden 110594 4971 5933 0.00 5.36 587
## 9 United Kingdom 854010 1918 44745 2.77 5.24 659
## 10 China 91675 86480 4746 0.02 5.18 3
## 11 Canada 213959 179636 9922 1.05 4.64 263
## 12 Peru 886214 803846 34095 0.35 3.85 1034
## 13 Afghanistan 40768 34023 1511 0.20 3.71 39
## 14 Belgium 287700 22517 10658 6.50 3.70 920
## 15 Guatemala 104632 93880 3609 0.70 3.45 201
## 16 Indonesia 385980 309219 13205 1.07 3.42 48
## 17 Algeria 55880 38932 1907 0.45 3.41 43
## 18 Republika Severna Makedonija 26394 18430 897 1.55 3.40 NA
## 19 Ireland 56108 23364 1882 1.53 3.35 381
## 20 Australia 27499 25181 905 0.01 3.29 35
## 21 France 1086497 109486 34645 4.36 3.19 531
## 22 Spain 1110372 196958 34752 0.00 3.13 743
## 23 Romania 205793 147932 6318 2.37 3.07 328
## 24 Colombia 1007711 907379 30000 0.88 2.98 590
## 25 Brazil 5380635 4817898 156903 0.47 2.92 738
## 26 El Salvador 32585 28258 944 0.51 2.90 146
## 27 Bulgaria 37562 18232 1084 2.86 2.89 156
## 28 Honduras 91882 37697 2612 0.41 2.84 264
## 29 Chile 500542 476576 13892 0.33 2.78 727
## 30 Democratic Republic of the Congo 11143 10467 305 0.19 2.74 NA
## 31 Turkey 359784 313093 9727 0.58 2.70 115
## 32 Bosnia and Herzegovina 39758 26368 1075 3.29 2.70 328
## 33 South Africa 714246 644641 18944 0.26 2.65 319
## 34 Argentina 1081336 881113 28613 1.12 2.65 633
## 35 United States 8822255 5735074 230028 0.86 2.61 695
## 36 Albania 18858 10548 473 1.63 2.51 164
## 37 Netherlands 281052 322 7019 3.18 2.50 410
## 38 Hungary 56098 16007 1390 3.35 2.48 144
## 39 Myanmar 43788 23708 1066 3.36 2.43 20
## 40 Finland 14652 9800 353 1.23 2.41 64
## 41 Germany 422225 314018 10118 2.98 2.40 121
## 42 Iraq 449153 378209 10568 0.72 2.35 263
## 43 Moldova 71089 51719 1669 1.19 2.35 414
## 44 Paraguay 59043 39214 1293 1.35 2.19 181
## 45 Zambia 16117 15179 348 0.14 2.16 19
## 46 Senegal 15543 14161 321 0.12 2.07 19
## 47 Pakistan 327063 310101 6727 0.26 2.06 30
## 48 Kyrgyzstan 55144 47337 1130 1.02 2.05 173
## 49 Panama 128515 104562 2628 0.51 2.04 609
## 50 Serbia 38872 31536 789 1.99 2.03 90
## 51 Switzerland 103653 55800 2081 0.00 2.01 240
## 52 Portugal 116109 67842 2297 3.26 1.98 225
## 53 Cameroon 21570 20117 425 0.00 1.97 16
## 54 Philippines 367819 313112 6934 0.55 1.89 63
## 55 Greece 29992 9989 564 3.22 1.88 54
## 56 Ukraine 337410 139755 6289 2.12 1.86 144
## 57 Kenya 48790 33876 896 1.98 1.84 17
## 58 Nigeria 61930 57285 1129 0.08 1.82 5
## 59 Poland 241946 109344 4351 5.97 1.80 115
## 60 Dominican Republic 124018 102353 2220 0.93 1.79 205
## 61 Japan 96720 88787 1714 0.76 1.77 14
## 62 South Korea 25775 23834 457 0.00 1.77 9
## 63 Denmark 39918 32190 700 2.02 1.75 121
## 64 Russia 1497167 1130818 25821 1.12 1.72 177
## 65 Tunisia 48799 5032 819 3.36 1.68 69
## 66 Morocco 194461 160372 3255 2.12 1.67 88
## 67 Kazakhstan 110250 105566 1796 0.15 1.63 96
## 68 Norway 17670 11863 279 0.79 1.58 51
## 69 Montenegro 16629 12601 263 1.17 1.58 419
## 70 Armenia 75523 50701 1157 3.02 1.53 390
## 71 Ethiopia 92858 46842 1419 0.68 1.53 12
## 72 Saudi Arabia 344552 330995 5281 0.11 1.53 152
## 73 India 7863892 7075723 118567 0.64 1.51 86
## 74 Libya 54374 29965 790 1.85 1.45 115
## 75 Bangladesh 397507 313563 5780 0.28 1.45 35
## 76 Madagascar 16968 16301 244 0.94 1.44 9
## 77 Azerbaijan 49013 41051 664 1.64 1.35 65
## 78 Puerto Rico 61280 2267 794 0.49 1.30 278
## 79 Croatia 33959 23785 429 7.07 1.26 104
## 80 Costa Rica 103088 62037 1282 1.24 1.24 252
## 81 Austria 78029 56791 965 4.86 1.24 107
## 82 Slovenia 21274 8018 235 10.19 1.10 113
## 83 Jordan 50750 7508 540 3.72 1.06 53
## 84 Namibia 12579 10775 133 0.62 1.06 52
## 85 Luxembourg 13713 9085 144 6.71 1.05 230
## 86 Belarus 91978 82670 953 0.89 1.04 101
## 87 Oman 111837 97949 1147 0.00 1.03 225
## 88 Palestinian Territory 49989 43232 443 0.83 0.89 NA
## 89 Uganda 11297 7281 99 1.20 0.88 2
## 90 Venezuela 88718 82899 764 0.34 0.86 27
## 91 Malaysia 25742 16555 221 5.01 0.86 7
## 92 Uzbekistan 64923 62033 544 0.31 0.84 16
## 93 Czech Republic 246022 91922 2047 3.23 0.83 191
## 94 Lebanon 69906 33438 562 2.08 0.80 82
## 95 Israel 309413 291206 2372 0.19 0.77 274
## 96 Tajikistan 10736 9836 81 0.38 0.75 8
## 97 Georgia 26503 10163 193 7.90 0.73 48
## 98 Mozambique 11895 9244 85 1.25 0.71 3
## 99 French Guiana 10351 9995 69 0.00 0.67 231
## 100 Ghana 47690 46887 316 0.19 0.66 10
## 101 Kuwait 120927 112110 744 0.58 0.62 174
## 102 Guinea 11635 10474 71 0.00 0.61 5
## 103 Côte d'Ivoire 20429 20137 121 0.12 0.59 5
## 104 Nepal 155233 108334 842 1.45 0.54 29
## 105 Bahrain 79975 76474 312 0.50 0.39 183
## 106 Slovakia 40801 9920 159 7.62 0.39 29
## 107 United Arab Emirates 123764 116894 475 1.22 0.38 48
## 108 Maldives 11421 10472 37 0.26 0.32 68
## 109 Qatar 130965 127868 229 0.19 0.17 79
## 110 Singapore 57965 57844 28 0.02 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 2020-10-24 China Hong Kong 5289 5041 105 5
## 2 2020-10-24 China Shanghai 1128 1034 7 5
## 3 2020-10-24 China Guangdong 1907 1861 8 3
## 4 2020-10-24 China Shaanxi 441 414 3 3
## 5 2020-10-24 China Taiwan 550 502 7 2
## 6 2020-10-24 China Fujian 429 409 1 2
## 7 2020-10-24 China Yunnan 211 206 2 2
## 8 2020-10-24 China Tianjin 260 242 3 1