Ending day prediction of nCoV2019
13/08/2020
source('./predict.R')
## [1] "2020-08-12"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Venezuela 27938 19706 238 4.25 0.85 8
## 2 Morocco 35195 25385 533 3.32 1.51 14
## 3 Colombia 410453 230427 13475 3.23 3.28 265
## 4 Philippines 143749 68997 2404 3.02 1.67 22
## 5 India 2353137 1656020 46399 2.87 1.97 34
## 6 Argentina 260911 181389 5004 2.77 1.92 111
## 7 Costa Rica 24508 7971 255 2.66 1.04 50
## 8 Puerto Rico 23403 0 287 2.55 1.23 100
## 9 Ethiopia 24175 10696 440 2.48 1.82 4
## 10 Uzbekistan 32465 25106 210 2.26 0.65 6
## 11 Romania 65177 31048 2807 2.22 4.31 146
## 12 Iraq 160436 114541 5588 2.19 3.48 139
## 13 Israel 87173 61577 633 2.13 0.73 73
## 14 Palestinian Territory 15184 8369 104 2.08 0.68 NA
## 15 Nepal 24432 16728 91 2.02 0.37 3
## 16 Australia 22127 12393 352 1.91 1.59 14
## 17 Bolivia 93328 31753 3761 1.85 4.03 322
## 18 Senegal 11587 7523 242 1.82 2.09 14
## 19 Brazil 3112393 2243124 103099 1.80 3.31 485
## 20 Czech Republic 18826 13222 391 1.80 2.08 37
## 21 El Salvador 21644 10056 577 1.76 2.67 89
## 22 Bosnia and Herzegovina 14961 8827 453 1.72 3.03 138
## 23 Guatemala 57966 46442 2233 1.72 3.85 125
## 24 Ukraine 84548 45686 1970 1.72 2.33 45
## 25 Bulgaria 13722 8154 471 1.55 3.43 68
## 26 Indonesia 130718 85798 5903 1.51 4.52 22
## 27 Panama 76464 50665 1680 1.42 2.20 389
## 28 Algeria 36204 25263 1322 1.38 3.65 30
## 29 Mexico 492522 332800 53929 1.38 10.95 418
## 30 Moldova 28223 19740 857 1.37 3.04 212
## 31 Peru 489680 335756 21501 1.36 4.39 652
## 32 Poland 53676 37611 1830 1.35 3.41 48
## 33 Bangladesh 266498 153089 3513 1.14 1.32 21
## 34 Honduras 48403 6805 1515 1.11 3.13 153
## 35 Republika Severna Makedonija 12217 8487 530 1.11 4.34 NA
## 36 Netherlands 60627 322 6161 1.09 10.16 360
## 37 United States 5309622 2757410 167789 1.06 3.16 507
## 38 Denmark 15291 13227 621 1.03 4.06 107
## 39 Spain 373692 196958 28581 0.98 7.65 611
## 40 Kuwait 73785 65451 489 0.98 0.66 115
## 41 Cameroon 18213 15320 398 0.95 2.19 15
## 42 Bahrain 44804 41504 165 0.92 0.37 97
## 43 Ecuador 95563 78610 5951 0.91 6.23 337
## 44 Nigeria 47290 33609 956 0.90 2.02 5
## 45 Serbia 28751 18965 658 0.89 2.29 75
## 46 Austria 22439 20268 724 0.87 3.23 80
## 47 Ghana 41572 39320 223 0.87 0.54 7
## 48 Iran 333699 290244 18988 0.76 5.69 226
## 49 Kyrgyzstan 40759 32997 1484 0.75 3.64 227
## 50 Portugal 53223 38940 1764 0.75 3.31 173
## 51 Switzerland 37169 32700 1991 0.74 5.36 230
## 52 Dominican Republic 81094 45666 1346 0.74 1.66 124
## 53 France 204172 82836 30354 0.69 14.87 465
## 54 Kazakhstan 100855 74677 1269 0.69 1.26 68
## 55 Madagascar 13397 11529 156 0.60 1.16 6
## 56 Qatar 113938 110627 190 0.60 0.17 66
## 57 Russia 902701 710298 15260 0.57 1.69 105
## 58 Saudi Arabia 293037 257269 3269 0.54 1.12 94
## 59 Belgium 75008 17841 9885 0.52 13.18 853
## 60 Armenia 40794 33492 806 0.50 1.98 272
## 61 Turkey 243180 226155 5873 0.49 2.42 70
## 62 South Africa 566109 426125 10751 0.45 1.90 181
## 63 Chile 376616 349541 10178 0.42 2.70 532
## 64 Sweden 83455 4971 5774 0.40 6.92 572
## 65 United Arab Emirates 63212 57193 358 0.39 0.57 36
## 66 United Kingdom 312789 1918 46628 0.37 14.91 687
## 67 South Korea 14714 13786 305 0.37 2.07 6
## 68 Germany 219724 202427 9367 0.34 4.26 112
## 69 Oman 82299 77072 539 0.30 0.65 106
## 70 Côte d'Ivoire 16847 13321 105 0.29 0.62 4
## 71 Azerbaijan 33824 31058 497 0.28 1.47 49
## 72 Pakistan 285921 263193 6129 0.26 2.14 28
## 73 Canada 120421 106746 8991 0.24 7.47 238
## 74 Afghanistan 37345 26694 1354 0.20 3.63 35
## 75 Egypt 95834 54888 5059 0.18 5.28 49
## 76 Italy 251237 202461 35215 0.16 14.02 582
## 77 Belarus 69102 65893 595 0.14 0.86 63
## 78 Ireland 26801 23364 1773 0.12 6.62 359
## 79 China 89507 82932 4704 0.10 5.26 3
## 80 Singapore 55395 50128 27 0.08 0.05 5
## 81 Japan 50448 33975 1060 0.01 2.10 8
## 82 Kenya 27425 13867 438 0.00 1.60 8
## 83 Sudan 12033 6282 786 0.00 6.53 18
## [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 2020-08-12 China Hong Kong 4243 3052 63 62
## 2 2020-08-12 China Xinjiang 875 375 3 9
## 3 2020-08-12 China Guangdong 1705 1676 8 6
## 4 2020-08-12 China Shanghai 798 737 7 4
## 5 2020-08-12 China Taiwan 481 443 7 4
## 6 2020-08-12 China Inner Mongolia 259 254 1 1
## 7 2020-08-12 China Zhejiang 1275 1268 1 1
## 8 2020-08-12 China Fujian 368 363 1 1
## 9 2020-08-12 China Shandong 817 788 7 1
## 10 2020-08-12 China Sichuan 616 600 3 1
## 11 2020-08-12 China Shaanxi 341 323 3 1