Ending day prediction of nCoV2019
15/08/2020
source('./predict.R')
## [1] "2020-08-14"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Belgium 76191 17913 9916 0.72 13.01 856
## 2 Peru 507996 348006 25648 1.89 5.05 778
## 3 Spain 355856 196958 28605 -5.57 8.04 612
## 4 United Kingdom 313798 1918 41347 0.00 13.18 609
## 5 Italy 252235 202923 35231 0.21 13.97 583
## 6 Sweden 83852 4971 5776 0.48 6.89 572
## 7 Chile 380034 353131 10299 0.49 2.71 539
## 8 United States 5418045 2844250 170446 1.07 3.15 515
## 9 Brazil 3229621 2356640 105564 1.87 3.27 497
## 10 France 209365 83472 30388 1.29 14.51 466
## 11 Mexico 505751 341507 55293 1.48 10.93 429
## 12 Panama 78446 52210 1722 1.38 2.20 399
## 13 Netherlands 61840 322 6167 2.00 9.97 360
## 14 Ireland 26929 23364 1774 0.34 6.59 359
## 15 Ecuador 98343 78957 6010 1.27 6.11 341
## 16 Bolivia 96459 33720 3884 1.46 4.03 333
## 17 Colombia 433805 250494 14145 2.67 3.26 278
## 18 Armenia 41299 34164 814 0.67 1.97 275
## 19 Canada 121234 107553 9015 0.32 7.44 239
## 20 Switzerland 37671 32700 1991 0.72 5.29 230
## 21 Iran 338825 293811 19331 0.74 5.71 230
## 22 Kyrgyzstan 41373 33592 1491 0.74 3.60 229
## 23 Moldova 29087 20276 878 1.36 3.02 218
## 24 South Africa 572865 437617 11270 0.69 1.97 190
## 25 Portugal 53548 39177 1770 0.61 3.31 174
## 26 Honduras 49042 7032 1542 0.79 3.14 156
## 27 Romania 68046 31920 2904 2.12 4.27 151
## 28 Bosnia and Herzegovina 15535 9344 469 2.31 3.02 143
## 29 Iraq 164277 117208 5641 2.39 3.43 140
## 30 Dominican Republic 83134 47946 1393 1.11 1.68 128
## 31 Guatemala 60284 48305 2296 2.02 3.81 128
## 32 Argentina 276072 192434 5362 2.79 1.94 119
## 33 Kuwait 74486 66099 489 0.00 0.66 115
## 34 Germany 222757 203964 9374 0.65 4.21 112
## 35 Oman 82743 77427 557 0.26 0.67 109
## 36 Puerto Rico 25128 0 311 4.38 1.24 109
## 37 Denmark 15590 13370 621 1.08 3.98 107
## 38 Russia 912823 722964 15498 0.56 1.70 106
## 39 Bahrain 45726 42180 167 1.02 0.37 98
## 40 Saudi Arabia 295902 262959 3338 0.98 1.13 96
## 41 El Salvador 22314 10455 595 1.46 2.67 92
## 42 Austria 22876 20499 725 1.25 3.17 80
## 43 Israel 90472 66151 657 1.96 0.73 76
## 44 Serbia 28998 26117 661 0.86 2.28 76
## 45 Bulgaria 14069 8901 484 1.27 3.44 70
## 46 Turkey 245635 228057 5912 0.51 2.41 70
## 47 Kazakhstan 101848 78633 1269 0.47 1.25 68
## 48 Qatar 114532 111258 190 0.52 0.17 66
## 49 Belarus 69308 66452 603 0.30 0.87 64
## 50 Costa Rica 26129 8412 272 4.28 1.04 53
## 51 Egypt 96108 56890 5107 0.15 5.31 50
## 52 Azerbaijan 33915 31269 500 0.27 1.47 49
## 53 Poland 55319 38362 1858 1.53 3.36 49
## 54 Ukraine 87872 46797 2011 2.01 2.29 46
## 55 Czech Republic 19401 13574 391 1.71 2.02 37
## 56 United Arab Emirates 63819 57473 359 0.52 0.56 36
## 57 Afghanistan 37431 26714 1363 0.02 3.64 35
## 58 India 2465662 1753719 48188 2.24 1.95 35
## 59 Algeria 37187 26004 1341 1.33 3.61 31
## 60 Pakistan 287300 265215 6153 0.22 2.14 28
## 61 Bangladesh 271881 156623 3591 1.03 1.32 22
## 62 Indonesia 135123 89618 6021 1.74 4.46 22
## 63 Philippines 153660 71405 2442 4.16 1.59 22
## 64 Sudan 12162 6325 793 0.39 6.52 18
## 65 Morocco 37935 26687 584 3.38 1.54 16
## 66 Australia 22743 13350 375 1.72 1.65 15
## 67 Cameroon 18308 15320 401 0.25 2.19 15
## 68 Senegal 11872 7615 249 1.12 2.10 15
## 69 Japan 53961 37479 1086 2.58 2.01 9
## 70 Kenya 28754 15100 460 2.31 1.60 9
## 71 Venezuela 30369 21385 259 4.40 0.85 9
## 72 Ghana 41847 39718 223 0.29 0.53 7
## 73 Uzbekistan 33821 27825 220 2.20 0.65 7
## 74 South Korea 14770 13817 305 0.00 2.06 6
## 75 Madagascar 13643 12011 164 0.89 1.20 6
## 76 Nigeria 48116 34309 966 0.78 2.01 5
## 77 Singapore 55580 50736 27 0.15 0.05 5
## 78 Côte d'Ivoire 16889 13522 107 0.25 0.63 4
## 79 Ethiopia 26204 11428 479 4.32 1.83 4
## 80 China 89674 83398 4707 0.09 5.25 3
## 81 Nepal 25551 17077 99 2.38 0.39 3
## 82 Republika Severna Makedonija 12357 8662 532 1.15 4.31 NA
## 83 Palestinian Territory 15834 9382 106 2.21 0.67 NA
## [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 2020-08-14 China Hong Kong 4360 3392 66 48
## 2 2020-08-14 China Shanghai 816 740 7 16
## 3 2020-08-14 China Xinjiang 891 457 3 8
## 4 2020-08-14 China Shaanxi 346 324 3 5
## 5 2020-08-14 China Guangdong 1708 1681 8 1
## 6 2020-08-14 China Sichuan 619 605 3 1