Ending day prediction of nCoV2019
14/08/2020
source('./predict.R')
## [1] "2020-08-13"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 France 206696 83472 30371 1.24 14.69 465
## 2 Italy 251713 202697 35225 0.19 13.99 583
## 3 United Kingdom 313798 1918 41329 0.32 13.17 609
## 4 Belgium 75647 17883 9900 0.85 13.09 854
## 5 Mexico 498380 336635 54666 1.19 10.97 424
## 6 Netherlands 60627 322 6161 0.00 10.16 360
## 7 Spain 376864 196958 28579 0.85 7.58 611
## 8 Canada 120844 107148 9006 0.35 7.45 239
## 9 Sweden 83455 4971 5774 0.00 6.92 572
## 10 Ireland 26838 23364 1774 0.14 6.61 359
## 11 Sudan 12115 6305 792 0.68 6.54 18
## 12 Ecuador 97110 78887 5984 1.62 6.16 339
## 13 Iran 336324 292058 19162 0.79 5.70 228
## 14 Switzerland 37403 32700 1991 0.63 5.32 230
## 15 Egypt 95963 55901 5085 0.13 5.30 50
## 16 China 89595 83245 4706 0.10 5.25 3
## 17 Indonesia 132816 87558 5968 1.60 4.49 22
## 18 Peru 498555 341938 21713 1.81 4.36 659
## 19 Republika Severna Makedonija 12217 8487 530 0.00 4.34 NA
## 20 Romania 66631 31547 2860 2.23 4.29 149
## 21 Germany 221326 203356 9373 0.73 4.23 112
## 22 Bolivia 95071 32830 3827 1.87 4.03 328
## 23 Denmark 15423 13305 621 0.86 4.03 107
## 24 Guatemala 59089 47394 2267 1.94 3.84 127
## 25 Afghanistan 37424 26714 1363 0.21 3.64 35
## 26 Algeria 36699 25627 1333 1.37 3.63 30
## 27 Kyrgyzstan 41069 33288 1487 0.76 3.62 228
## 28 Iraq 160436 114541 5588 0.00 3.48 139
## 29 Bulgaria 13893 8479 482 1.25 3.47 69
## 30 Poland 54487 37961 1844 1.51 3.38 49
## 31 Portugal 53223 38940 1764 0.00 3.31 173
## 32 Brazil 3170474 2309477 104263 1.87 3.29 491
## 33 Colombia 422519 239785 13837 2.94 3.27 272
## 34 Austria 22594 20346 725 0.69 3.21 80
## 35 United States 5360488 2813125 169135 0.96 3.16 511
## 36 Honduras 48657 6945 1533 0.52 3.15 155
## 37 Bosnia and Herzegovina 15184 9156 458 1.49 3.02 140
## 38 Moldova 28697 19998 863 1.68 3.01 214
## 39 Chile 378168 351419 10205 0.41 2.70 534
## 40 El Salvador 21993 10254 584 1.61 2.66 90
## 41 Turkey 244392 227089 5891 0.50 2.41 70
## 42 Ukraine 86140 46216 1992 1.88 2.31 46
## 43 Serbia 28751 18965 658 0.00 2.29 75
## 44 Cameroon 18263 15320 401 0.27 2.20 15
## 45 Panama 77377 51597 1703 1.19 2.20 395
## 46 Pakistan 286674 264060 6139 0.26 2.14 28
## 47 Senegal 11740 7572 244 1.32 2.08 15
## 48 South Korea 14770 13817 305 0.38 2.06 6
## 49 Czech Republic 19075 13407 391 1.32 2.05 37
## 50 Japan 52602 36134 1073 4.27 2.04 8
## 51 Nigeria 47743 33943 956 0.96 2.00 5
## 52 Armenia 41023 33897 809 0.56 1.97 273
## 53 India 2411547 1708719 47274 2.48 1.96 34
## 54 Argentina 268574 187283 5213 2.94 1.94 115
## 55 South Africa 568919 432029 11010 0.50 1.94 186
## 56 Ethiopia 25118 11034 463 3.90 1.84 4
## 57 Russia 907758 716396 15384 0.56 1.69 105
## 58 Dominican Republic 82224 47095 1371 1.39 1.67 126
## 59 Philippines 147526 70387 2426 2.63 1.64 22
## 60 Kenya 28104 14610 456 2.48 1.62 8
## 61 Australia 22358 13001 361 1.04 1.61 14
## 62 Morocco 36694 25677 556 4.26 1.52 15
## 63 Azerbaijan 33824 31058 497 0.00 1.47 49
## 64 Bangladesh 269115 154871 3557 0.98 1.32 22
## 65 Kazakhstan 101372 76756 1269 0.51 1.25 68
## 66 Puerto Rico 24074 0 295 2.87 1.23 103
## 67 Madagascar 13522 11780 162 0.93 1.20 6
## 68 Saudi Arabia 293037 257269 3269 0.00 1.12 94
## 69 Costa Rica 25057 8189 263 2.24 1.05 52
## 70 Belarus 69102 65893 595 0.00 0.86 63
## 71 Venezuela 29088 21042 247 4.12 0.85 9
## 72 Israel 88733 64674 643 1.79 0.72 74
## 73 Palestinian Territory 15491 9186 105 2.02 0.68 NA
## 74 Oman 82531 77278 551 0.28 0.67 108
## 75 Kuwait 74486 66099 489 0.95 0.66 115
## 76 Uzbekistan 33093 26270 215 1.93 0.65 6
## 77 Côte d'Ivoire 16847 13321 105 0.00 0.62 4
## 78 United Arab Emirates 63489 57372 358 0.44 0.56 36
## 79 Ghana 41725 39495 223 0.37 0.53 7
## 80 Nepal 24957 16837 95 2.15 0.38 3
## 81 Bahrain 45264 41836 166 1.03 0.37 98
## 82 Qatar 113938 110627 190 0.00 0.17 66
## 83 Singapore 55497 50520 27 0.18 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 2020-08-13 China Hong Kong 4312 3295 65 69
## 2 2020-08-13 China Xinjiang 883 424 3 8
## 3 2020-08-13 China Shandong 821 789 7 4
## 4 2020-08-13 China Shanghai 800 739 7 2
## 5 2020-08-13 China Guangdong 1707 1678 8 2
## 6 2020-08-13 China Sichuan 618 602 3 2
## 7 2020-08-13 China Hebei 351 343 6 1