Ending day prediction of nCoV2019
21/08/2020
source('./predict.R')
## [1] "2020-08-20"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Italy 255278 204506 35412 0.25 13.87 586
## 2 France 225043 84065 30468 1.71 13.54 467
## 3 United Kingdom 321098 1918 41397 0.25 12.89 610
## 4 Belgium 79479 18078 9969 0.74 12.54 860
## 5 Mexico 537031 367537 58481 1.09 10.89 454
## 6 Netherlands 65054 322 6191 0.82 9.52 361
## 7 Spain 387985 196958 28797 0.97 7.42 616
## 8 Canada 123490 109822 9049 0.27 7.33 240
## 9 Sweden 85810 4971 5805 0.47 6.76 575
## 10 Sudan 12582 6456 812 0.29 6.45 19
## 11 Ireland 27547 23364 1775 0.17 6.44 359
## 12 Ecuador 104475 87277 6146 1.49 5.88 348
## 13 Iran 352558 304236 20264 0.65 5.75 241
## 14 Egypt 96914 62553 5197 0.17 5.36 51
## 15 China 90037 84112 4714 0.03 5.24 3
## 16 Switzerland 39026 33800 1998 0.69 5.12 231
## 17 Peru 558420 377453 26834 1.66 4.81 814
## 18 Indonesia 147211 100674 6418 1.56 4.36 23
## 19 Romania 74963 34196 3154 1.83 4.21 164
## 20 Republika Severna Makedonija 13194 9752 554 0.90 4.20 NA
## 21 Germany 230087 207422 9419 0.71 4.09 112
## 22 Bolivia 105050 39965 4233 1.97 4.03 363
## 23 Denmark 16336 13921 621 0.55 3.80 107
## 24 Guatemala 64881 53362 2467 1.62 3.80 138
## 25 Afghanistan 37856 27681 1385 0.68 3.66 36
## 26 Bulgaria 14820 9931 527 1.03 3.56 76
## 27 Algeria 39847 27971 1402 1.02 3.52 32
## 28 Kyrgyzstan 42507 35486 1498 0.86 3.52 230
## 29 Portugal 54992 40264 1788 1.00 3.25 175
## 30 Poland 59378 40481 1925 1.31 3.24 51
## 31 Iraq 192797 137200 6208 2.12 3.22 154
## 32 Brazil 3460413 2615254 111189 1.42 3.21 523
## 33 Colombia 502178 326298 15979 2.67 3.18 314
## 34 United States 5702837 3063383 176396 0.80 3.09 533
## 35 Honduras 52298 7867 1608 1.22 3.07 162
## 36 Bosnia and Herzegovina 17029 10881 515 2.03 3.02 157
## 37 Austria 24431 21093 729 1.44 2.98 81
## 38 Moldova 31415 21885 914 2.03 2.91 227
## 39 Chile 390037 364285 10578 0.30 2.71 553
## 40 El Salvador 23964 11558 640 1.04 2.67 99
## 41 Zambia 10218 9126 269 0.00 2.63 15
## 42 Norway 10162 8857 264 0.50 2.60 49
## 43 Turkey 253108 233915 6039 0.52 2.39 72
## 44 Serbia 30209 27908 689 0.54 2.28 79
## 45 Ukraine 98537 50441 2184 2.21 2.22 50
## 46 Cameroon 18624 16540 406 0.13 2.18 15
## 47 Panama 83754 58274 1827 1.16 2.18 423
## 48 Pakistan 290958 272804 6209 0.18 2.13 28
## 49 Senegal 12559 8050 261 0.91 2.08 16
## 50 South Africa 596060 491441 12423 0.66 2.08 209
## 51 Argentina 312659 228725 6330 2.19 2.02 140
## 52 Armenia 42319 35476 836 0.63 1.98 282
## 53 Nigeria 50488 37304 985 1.19 1.95 5
## 54 Czech Republic 20798 15615 404 1.54 1.94 38
## 55 Australia 24236 17854 463 1.01 1.91 18
## 56 India 2858346 2115054 54245 2.56 1.90 39
## 57 South Korea 16346 14063 307 1.79 1.88 6
## 58 Japan 63300 45266 1159 7.57 1.83 9
## 59 Ethiopia 34058 13308 600 4.08 1.76 5
## 60 Russia 942106 755513 16099 0.51 1.71 110
## 61 Dominican Republic 88127 56760 1501 1.15 1.70 138
## 62 Kenya 31015 17612 506 1.24 1.63 9
## 63 Philippines 178022 114114 2883 2.44 1.62 26
## 64 Morocco 46313 31576 743 3.37 1.60 20
## 65 Paraguay 11133 6582 165 4.97 1.48 23
## 66 Azerbaijan 34759 32511 510 0.40 1.47 50
## 67 Kazakhstan 103815 86450 1415 0.24 1.36 75
## 68 Bangladesh 287959 168991 3822 1.01 1.33 23
## 69 Puerto Rico 28143 2267 367 0.75 1.30 128
## 70 Madagascar 14154 13038 177 0.57 1.25 6
## 71 Saudi Arabia 303973 275476 3548 0.43 1.17 102
## 72 Costa Rica 30409 9660 321 2.58 1.06 63
## 73 Lebanon 10347 2928 109 6.04 1.05 16
## 74 Belarus 69801 67647 622 0.18 0.89 66
## 75 Venezuela 36868 25416 303 3.28 0.82 11
## 76 Israel 98550 73848 789 1.60 0.80 91
## 77 Oman 83769 78386 609 0.19 0.73 119
## 78 Uzbekistan 37547 33261 252 1.57 0.67 8
## 79 Palestinian Territory 17989 10682 119 2.18 0.66 NA
## 80 Kuwait 78767 70642 509 0.80 0.65 119
## 81 Côte d'Ivoire 17232 14422 111 0.48 0.64 4
## 82 Ghana 43260 41276 261 0.62 0.60 8
## 83 United Arab Emirates 65802 58153 369 0.71 0.56 37
## 84 Nepal 29645 17964 126 2.44 0.43 4
## 85 Bahrain 47950 44278 179 0.78 0.37 105
## 86 Qatar 116224 112924 193 0.23 0.17 67
## 87 Singapore 56099 52810 27 0.12 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 2020-08-20 China Hong Kong 4604 3827 73 18
## 2 2020-08-20 China Tianjin 216 202 3 7
## 3 2020-08-20 China Jiangxi 935 931 1 3
## 4 2020-08-20 China Shanghai 851 777 7 1
## 5 2020-08-20 China Shandong 824 793 7 1
## 6 2020-08-20 China Sichuan 627 609 3 1