Ending day prediction of nCoV2019
16/08/2020
source('./predict.R')
## [1] "2020-08-15"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Afghanistan 37550 27166 1369 0.32 3.65 35
## 2 Algeria 37664 26308 1351 1.28 3.59 31
## 3 Argentina 282437 199005 5527 2.31 1.96 122
## 4 Armenia 41495 34484 817 0.47 1.97 276
## 5 Australia 23035 13634 379 1.28 1.65 15
## 6 Austria 23179 20627 728 1.32 3.14 81
## 7 Azerbaijan 34018 31490 504 0.30 1.48 50
## 8 Bahrain 46052 42469 169 0.71 0.37 99
## 9 Bangladesh 274525 157635 3625 0.97 1.32 22
## 10 Belarus 69308 66452 603 0.00 0.87 64
## 11 Belgium 77113 17941 9924 1.21 12.87 856
## 12 Bolivia 97950 34723 3939 1.55 4.02 337
## 13 Bosnia and Herzegovina 15535 9344 469 0.00 3.02 143
## 14 Brazil 3278895 2384302 106571 1.53 3.25 501
## 15 Bulgaria 14243 9114 492 1.24 3.45 71
## 16 Cameroon 18469 15320 401 0.88 2.17 15
## 17 Canada 121652 107942 9020 0.34 7.41 239
## 18 Chile 382111 355037 10340 0.55 2.71 541
## 19 China 89744 83546 4708 0.08 5.25 3
## 20 Colombia 445111 261296 14492 2.61 3.26 285
## 21 Costa Rica 26931 8785 281 3.07 1.04 55
## 22 Côte d'Ivoire 16935 13721 108 0.27 0.64 4
## 23 Czech Republic 19693 13731 394 1.51 2.00 37
## 24 Denmark 15755 13455 621 1.06 3.94 107
## 25 Dominican Republic 84488 49539 1409 1.63 1.67 130
## 26 Ecuador 99409 79176 6030 1.08 6.07 342
## 27 Egypt 96220 57858 5124 0.12 5.33 50
## 28 El Salvador 22619 10618 603 1.37 2.67 93
## 29 Ethiopia 27242 11660 492 3.96 1.81 4
## 30 France 212211 83848 30406 1.36 14.33 466
## 31 Germany 224096 204535 9386 0.60 4.19 112
## 32 Ghana 42210 40147 231 0.87 0.55 7
## 33 Guatemala 61428 49355 2341 1.90 3.81 131
## 34 Honduras 49467 7128 1548 0.87 3.13 156
## 35 India 2530943 1810079 49171 2.65 1.94 36
## 36 Indonesia 137468 91321 6071 1.74 4.42 22
## 37 Iran 341070 295630 19492 0.66 5.71 232
## 38 Iraq 168290 120129 5709 2.44 3.39 142
## 39 Ireland 26995 23364 1774 0.25 6.57 359
## 40 Israel 91080 66965 665 0.67 0.73 77
## 41 Italy 252809 203326 35234 0.23 13.94 583
## 42 Japan 55193 38945 1093 2.28 1.98 9
## 43 Kazakhstan 102287 80716 1269 0.43 1.24 68
## 44 Kenya 29334 15298 465 2.02 1.59 9
## 45 Kuwait 75185 66740 494 0.94 0.66 116
## 46 Kyrgyzstan 41645 33951 1493 0.66 3.59 229
## 47 Madagascar 13724 12232 166 0.59 1.21 6
## 48 Mexico 511369 345653 55908 1.11 10.93 434
## 49 Moldova 29483 20556 884 1.36 3.00 219
## 50 Morocco 39241 27644 611 3.44 1.56 17
## 51 Nepal 26019 17201 102 1.83 0.39 4
## 52 Netherlands 61840 322 6167 0.00 9.97 360
## 53 Nigeria 48445 35998 973 0.68 2.01 5
## 54 Oman 82924 77550 562 0.22 0.68 110
## 55 Pakistan 288047 265624 6162 0.26 2.14 28
## 56 Palestinian Territory 16153 9388 108 2.01 0.67 NA
## 57 Panama 79402 52886 1734 1.22 2.18 402
## 58 Peru 516296 354232 25856 1.63 5.01 784
## 59 Philippines 157918 72209 2600 2.77 1.65 24
## 60 Poland 56090 38853 1869 1.39 3.33 49
## 61 Portugal 53783 39374 1772 0.44 3.29 174
## 62 Puerto Rico 25695 2267 329 2.26 1.28 115
## 63 Qatar 114809 111505 192 0.24 0.17 67
## 64 Republika Severna Makedonija 12515 9030 535 1.28 4.27 NA
## 65 Romania 69374 32334 2954 1.95 4.26 154
## 66 Russia 917884 729411 15617 0.55 1.70 107
## 67 Saudi Arabia 295902 262959 3338 0.00 1.13 96
## 68 Senegal 12032 7637 251 1.35 2.09 15
## 69 Serbia 29233 26440 665 0.81 2.27 76
## 70 Singapore 55661 51049 27 0.15 0.05 5
## 71 South Africa 579140 461734 11556 1.10 2.00 195
## 72 South Korea 15039 13901 305 1.82 2.03 6
## 73 Spain 358843 196958 28617 0.84 7.97 612
## 74 Sudan 12211 6340 796 0.40 6.52 18
## 75 Sweden 84294 4971 5783 0.53 6.86 573
## 76 Switzerland 37924 32900 1991 0.67 5.25 230
## 77 Turkey 246861 228980 5934 0.50 2.40 70
## 78 Ukraine 89719 47430 2044 2.10 2.28 47
## 79 United Arab Emirates 64102 57571 361 0.44 0.56 37
## 80 United Kingdom 316367 1918 41358 0.82 13.07 609
## 81 United States 5478009 2876080 171568 1.11 3.13 518
## 82 Uzbekistan 34017 28661 221 0.58 0.65 7
## 83 Venezuela 31381 21580 266 3.33 0.85 9
## [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 2020-08-15 China Hong Kong 4406 3487 67 46
## 2 2020-08-15 China Xinjiang 898 497 3 7
## 3 2020-08-15 China Shanghai 820 745 7 4
## 4 2020-08-15 China Sichuan 623 606 3 4
## 5 2020-08-15 China Tianjin 207 202 3 2
## 6 2020-08-15 China Jiangsu 661 655 0 2
## 7 2020-08-15 China Shaanxi 348 324 3 2
## 8 2020-08-15 China Inner Mongolia 260 256 1 1
## 9 2020-08-15 China Guangdong 1709 1683 8 1
## 10 2020-08-15 China Taiwan 482 450 7 1