Ending day prediction of nCoV2019
23/08/2020
source('./predict.R')
## [1] "2020-08-22"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Afghanistan 37953 28016 1385 0.16 3.65 36
## 2 Algeria 40667 28587 1418 1.02 3.49 32
## 3 Argentina 329043 239806 6730 2.54 2.05 149
## 4 Armenia 42616 35907 850 0.33 1.99 287
## 5 Australia 24602 18759 485 0.80 1.97 19
## 6 Austria 25062 21406 732 1.21 2.92 81
## 7 Azerbaijan 34921 32682 512 0.47 1.47 50
## 8 Bahrain 48661 45166 183 0.74 0.38 108
## 9 Bangladesh 292625 175567 3907 0.78 1.34 24
## 10 Belarus 70285 68577 637 0.25 0.91 67
## 11 Belgium 80894 18165 9985 0.89 12.34 862
## 12 Bolivia 107435 42141 4366 1.29 4.06 374
## 13 Bosnia and Herzegovina 17396 11157 526 0.00 3.02 160
## 14 Brazil 3536488 2670755 113454 0.90 3.21 534
## 15 Bulgaria 15131 10282 539 1.13 3.56 78
## 16 Cameroon 18762 16540 408 0.00 2.17 15
## 17 Canada 124372 110648 9064 0.40 7.29 240
## 18 Chile 393769 367897 10723 0.49 2.72 561
## 19 China 90129 84360 4717 0.05 5.23 3
## 20 Colombia 522138 348940 16568 1.64 3.17 326
## 21 Costa Rica 32134 10159 340 3.41 1.06 67
## 22 Côte d'Ivoire 17310 14820 112 0.35 0.65 4
## 23 Czech Republic 21551 16040 411 2.40 1.91 38
## 24 Denmark 16525 14258 621 0.44 3.76 107
## 25 Dominican Republic 89867 59132 1533 0.96 1.71 141
## 26 Ecuador 106481 87730 6248 0.92 5.87 354
## 27 Egypt 97148 64318 5231 0.13 5.38 51
## 28 El Salvador 24420 12021 654 0.91 2.68 101
## 29 Ethiopia 37665 13913 637 5.10 1.69 6
## 30 France 234400 84829 30503 2.00 13.01 467
## 31 Germany 233369 208582 9423 0.81 4.04 112
## 32 Ghana 43325 41408 261 0.15 0.60 8
## 33 Guatemala 66941 55314 2532 1.45 3.78 141
## 34 Honduras 53381 8271 1632 1.06 3.06 165
## 35 India 3001379 2243427 56194 2.96 1.87 41
## 36 Indonesia 151498 105198 6594 1.40 4.35 24
## 37 Iran 356792 307702 20502 0.57 5.75 244
## 38 Iraq 201050 143393 6353 4.28 3.16 158
## 39 Ireland 27755 23364 1776 0.29 6.40 360
## 40 Israel 100716 77785 809 1.12 0.80 93
## 41 Italy 257065 204960 35427 0.37 13.78 586
## 42 Japan 62758 47622 1181 2.77 1.88 9
## 43 Kazakhstan 104313 89712 1415 0.23 1.36 75
## 44 Kenya 31763 18157 532 1.02 1.67 10
## 45 Kuwait 79957 71770 513 0.87 0.64 120
## 46 Kyrgyzstan 42889 36056 1055 0.44 2.46 162
## 47 Lebanon 11580 3204 116 5.73 1.00 17
## 48 Libya 10121 1053 180 4.26 1.78 26
## 49 Madagascar 14218 13206 178 0.00 1.25 6
## 50 Mexico 549734 376409 59610 1.09 10.84 462
## 51 Moldova 32484 22683 929 1.71 2.86 230
## 52 Morocco 49247 34199 817 3.38 1.66 22
## 53 Nepal 31117 18350 146 2.08 0.47 5
## 54 Netherlands 66097 322 6200 0.77 9.38 362
## 55 Nigeria 51304 37885 996 0.67 1.94 5
## 56 Norway 10275 9150 264 0.76 2.57 49
## 57 Oman 83769 78386 609 0.00 0.73 119
## 58 Pakistan 292174 275317 6231 0.20 2.13 28
## 59 Palestinian Territory 18476 11102 122 2.71 0.66 NA
## 60 Panama 84392 59722 1859 0.64 2.20 431
## 61 Paraguay 12536 7007 182 6.08 1.45 26
## 62 Peru 576067 384908 27245 1.59 4.73 826
## 63 Philippines 187249 114921 2966 2.68 1.58 27
## 64 Poland 61181 41661 1951 1.49 3.19 52
## 65 Portugal 55452 40652 1794 0.84 3.24 176
## 66 Puerto Rico 29577 2267 381 5.10 1.29 133
## 67 Qatar 116765 113531 193 0.24 0.17 67
## 68 Republika Severna Makedonija 13308 9977 557 0.86 4.19 NA
## 69 Romania 77544 35079 3233 1.56 4.17 168
## 70 Russia 951897 767477 16310 0.52 1.71 112
## 71 Saudi Arabia 306370 278441 3619 0.39 1.18 104
## 72 Senegal 12850 8165 266 1.27 2.07 16
## 73 Serbia 30548 28275 695 1.12 2.28 80
## 74 Singapore 56266 53651 27 0.09 0.05 5
## 75 South Africa 603338 500102 12843 0.57 2.13 217
## 76 South Korea 17002 14169 309 1.99 1.82 6
## 77 Spain 407879 196958 28838 0.90 7.07 617
## 78 Sudan 12623 6476 812 0.00 6.43 19
## 79 Sweden 86068 4971 5810 0.00 6.75 575
## 80 Switzerland 39332 33900 2000 0.00 5.08 231
## 81 Turkey 255723 235569 6080 0.47 2.38 72
## 82 Ukraine 102971 51735 2244 2.31 2.18 51
## 83 United Arab Emirates 66617 58408 372 1.24 0.56 38
## 84 United Kingdom 323313 1918 41405 0.32 12.81 610
## 85 United States 5800457 3127466 179250 0.92 3.09 542
## 86 Uzbekistan 38412 34351 265 1.55 0.69 8
## 87 Venezuela 38219 27306 317 1.74 0.83 11
## 88 Zambia 10627 9126 277 2.46 2.61 15
## [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 2020-08-22 China Hong Kong 4657 3974 76 26
## 2 2020-08-22 China Shanghai 875 786 7 13
## 3 2020-08-22 China Hebei 354 343 6 3
## 4 2020-08-22 China Shandong 830 795 7 3
## 5 2020-08-22 China Shaanxi 360 341 3 2
## 6 2020-08-22 China Fujian 371 365 1 1
## 7 2020-08-22 China Taiwan 487 457 7 1