Ending day prediction of nCoV2019
05/08/2020
source('./predict.R')
## [1] "2020-08-04"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Belgium 70314 17598 9850 0.67 14.01 850
## 2 United Kingdom 305623 1918 46210 0.30 15.12 681
## 3 Spain 344134 196958 28472 2.54 8.27 609
## 4 Peru 433100 298091 19811 0.99 4.57 601
## 5 Italy 248229 200589 35166 0.06 14.17 582
## 6 Sweden 81181 4971 5747 0.21 7.08 569
## 7 Chile 361493 333976 9707 0.49 2.69 508
## 8 United States 4864227 2448305 159000 0.98 3.27 480
## 9 France 191295 81500 30294 1.80 15.84 464
## 10 Brazil 2751665 1912319 94702 0.66 3.44 446
## 11 Mexico 443813 295677 48012 1.09 10.82 372
## 12 Netherlands 55955 322 6150 0.87 10.99 359
## 13 Ireland 26208 23364 1763 0.18 6.73 357
## 14 Panama 68456 42093 1497 1.49 2.19 347
## 15 Ecuador 87041 59344 5767 0.60 6.63 327
## 16 Bolivia 81846 24510 3228 2.11 3.94 277
## 17 Armenia 39298 30372 768 0.50 1.95 259
## 18 Canada 117031 101597 8947 0.13 7.64 237
## 19 Switzerland 35746 31500 1981 0.37 5.54 229
## 20 Kyrgyzstan 37541 28743 1427 1.11 3.80 219
## 21 Colombia 327850 173727 11017 3.21 3.36 217
## 22 Iran 314786 272535 17617 0.88 5.60 210
## 23 Moldova 25482 17942 800 0.00 3.14 198
## 24 Portugal 51681 37318 1739 0.22 3.36 171
## 25 South Africa 516862 358037 8539 1.05 1.65 144
## 26 Honduras 43794 5854 1384 1.38 3.16 140
## 27 Romania 55241 28006 2480 2.28 4.49 129
## 28 Iraq 134722 96103 5017 2.15 3.72 125
## 29 Bosnia and Herzegovina 12856 6592 373 3.16 2.90 114
## 30 Guatemala 51542 39346 2013 0.46 3.91 112
## 31 Germany 212597 197797 9330 0.27 4.39 111
## 32 Dominican Republic 73117 38824 1183 1.21 1.62 109
## 33 Kuwait 68774 60326 465 0.70 0.68 109
## 34 Denmark 14235 12887 616 0.00 4.33 106
## 35 Russia 861423 661471 14351 0.60 1.67 98
## 36 Bahrain 41835 39007 150 0.72 0.36 88
## 37 Saudi Arabia 281456 243713 2984 0.49 1.06 86
## 38 Argentina 206743 94129 3863 2.39 1.87 85
## 39 Oman 79159 61421 421 0.00 0.53 82
## 40 Austria 21481 19336 719 0.45 3.35 80
## 41 Puerto Rico 18791 0 230 0.00 1.22 80
## 42 El Salvador 17843 8845 486 0.00 2.72 75
## 43 Serbia 26738 14047 605 1.09 2.26 69
## 44 Turkey 233851 217497 5747 0.43 2.46 68
## 45 Israel 75083 49763 554 2.53 0.74 64
## 46 Belarus 68250 63163 574 0.12 0.84 61
## 47 Qatar 111538 108254 177 0.19 0.16 61
## 48 Bulgaria 12159 6684 404 1.71 3.32 58
## 49 Kazakhstan 93820 65132 1058 1.25 1.13 56
## 50 Egypt 94640 44066 4888 0.17 5.16 48
## 51 Azerbaijan 32910 28348 473 0.69 1.44 47
## 52 Poland 48149 35056 1738 1.43 3.61 46
## 53 Ukraine 74219 40613 1764 1.45 2.38 40
## 54 Czech Republic 17008 11708 386 1.24 2.27 36
## 55 United Arab Emirates 61352 55090 351 0.58 0.57 35
## 56 Costa Rica 19402 4689 171 2.25 0.88 34
## 57 Afghanistan 36747 25669 1288 0.10 3.51 33
## 58 Algeria 31972 21901 1239 1.61 3.88 28
## 59 India 1865947 1237885 39081 1.91 2.09 28
## 60 Pakistan 280461 249397 5999 0.15 2.14 27
## 61 Bangladesh 244020 139860 3234 0.79 1.33 20
## 62 Indonesia 115056 72050 5388 1.70 4.68 20
## 63 Philippines 112593 66049 2115 5.89 1.88 19
## 64 Sudan 11780 6194 763 0.36 6.48 17
## 65 Cameroon 17255 15320 391 0.00 2.27 15
## 66 Senegal 10432 6920 214 0.44 2.05 13
## 67 Morocco 26196 18968 401 2.58 1.53 11
## 68 Australia 18730 10622 232 2.25 1.24 9
## 69 Japan 40217 26487 1018 0.00 2.53 8
## 70 Kenya 22597 8740 382 0.00 1.69 7
## 71 Ghana 37812 34313 191 0.00 0.51 6
## 72 South Korea 14422 13352 301 0.23 2.09 6
## 73 Venezuela 20754 11622 180 2.71 0.87 6
## 74 Singapore 53346 47179 27 0.56 0.05 5
## 75 Uzbekistan 26804 17838 163 2.83 0.61 5
## 76 Côte d'Ivoire 16220 11887 102 0.23 0.63 4
## 77 Madagascar 11895 9286 123 2.02 1.03 4
## 78 Nigeria 44129 20663 896 0.66 2.03 4
## 79 China 88653 81658 4683 0.13 5.28 3
## 80 Ethiopia 19289 7931 336 3.12 1.74 3
## 81 Nepal 21009 15026 58 1.25 0.28 2
## 82 Republika Severna Makedonija 11202 7108 505 0.66 4.51 NA
## 83 Palestinian Territory 12770 6419 84 1.83 0.66 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 2020-08-04 China Hong Kong 3669 2141 42 78
## 2 2020-08-04 China Xinjiang 724 115 3 28
## 3 2020-08-04 China Guangdong 1687 1659 8 4
## 4 2020-08-04 China Liaoning 255 160 2 2
## 5 2020-08-04 China Shanghai 750 727 7 1
## 6 2020-08-04 China Sichuan 609 597 3 1