Ending day prediction of nCoV2019
24/08/2020
source('./predict.R')
## [1] "2020-08-23"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 5843140 3148108 180217 0.74 3.08 544
## 2 Brazil 3583308 2709638 114287 1.32 3.19 538
## 3 India 3050326 2282358 56883 1.63 1.86 41
## 4 Russia 956749 770639 16383 0.51 1.71 112
## 5 South Africa 607045 504127 12987 0.61 2.14 219
## 6 Peru 585236 391144 27453 1.59 4.69 833
## 7 Mexico 556216 380492 60254 1.18 10.83 467
## 8 Colombia 533103 359792 16968 2.10 3.18 333
## 9 Spain 407879 196958 28838 0.00 7.07 617
## 10 Chile 395708 369730 10792 0.49 2.73 565
## 11 Iran 358905 309464 20643 0.59 5.75 246
## 12 Argentina 336802 245781 6848 2.36 2.03 152
## 13 United Kingdom 324601 1918 41423 0.40 12.76 610
## 14 Saudi Arabia 307479 280143 3649 0.36 1.19 105
## 15 Bangladesh 294598 179091 3941 0.67 1.34 24
## 16 Pakistan 292765 275836 6235 0.20 2.13 28
## 17 Italy 258136 205203 35430 0.42 13.73 586
## 18 Turkey 257032 236370 6102 0.51 2.37 72
## 19 France 238002 84950 30512 1.54 12.82 467
## 20 Germany 233843 208824 9426 0.20 4.03 113
## 21 Iraq 201050 143393 6353 0.00 3.16 158
## 22 Philippines 189601 131367 2998 1.26 1.58 27
## 23 Indonesia 153535 107500 6680 1.34 4.35 24
## 24 Canada 124629 110878 9071 0.21 7.28 240
## 25 Qatar 117008 113808 193 0.21 0.16 67
## 26 Bolivia 108427 43887 4442 0.92 4.10 381
## 27 Ecuador 107089 87889 6277 0.57 5.86 356
## 28 Ukraine 104958 52235 2271 1.93 2.16 52
## 29 Kazakhstan 104543 91089 1415 0.22 1.35 75
## 30 Israel 102150 79303 825 1.42 0.81 95
## 31 Egypt 97237 65118 5243 0.09 5.39 51
## 32 Dominican Republic 90561 59949 1554 0.77 1.72 143
## 33 China 90166 84442 4718 0.04 5.23 3
## 34 Sweden 86068 4971 5810 0.00 6.75 575
## 35 Panama 85480 60528 1878 1.29 2.20 435
## 36 Oman 83769 78386 609 0.00 0.73 119
## 37 Belgium 81468 18204 9988 0.71 12.26 862
## 38 Kuwait 80528 72307 515 0.71 0.64 121
## 39 Romania 78505 35287 3272 1.24 4.17 170
## 40 Belarus 70468 68839 642 0.26 0.91 68
## 41 Guatemala 67856 56277 2580 1.37 3.80 144
## 42 United Arab Emirates 67007 58488 375 0.59 0.56 38
## 43 Netherlands 66554 322 6200 0.69 9.32 362
## 44 Japan 62046 47622 1181 -1.13 1.90 9
## 45 Poland 61762 42183 1955 0.95 3.17 52
## 46 Singapore 56353 53920 27 0.15 0.05 5
## 47 Portugal 55452 40652 1794 0.00 3.24 176
## 48 Honduras 53983 8449 1643 1.13 3.04 166
## 49 Nigeria 51905 38767 997 1.17 1.92 5
## 50 Morocco 50812 35040 858 3.18 1.69 23
## 51 Bahrain 49038 45589 184 0.77 0.38 108
## 52 Ghana 43505 41532 261 0.42 0.60 8
## 53 Kyrgyzstan 43023 36397 1056 0.31 2.45 162
## 54 Armenia 42792 35991 852 0.41 1.99 288
## 55 Algeria 41068 28874 1424 0.99 3.47 32
## 56 Switzerland 39903 34100 2001 1.45 5.01 231
## 57 Ethiopia 39033 14480 662 3.63 1.70 6
## 58 Venezuela 38957 28453 323 1.93 0.83 11
## 59 Uzbekistan 38870 34894 271 1.19 0.70 8
## 60 Afghanistan 37999 28180 1387 0.12 3.65 36
## 61 Azerbaijan 35274 32993 518 1.01 1.47 51
## 62 Costa Rica 33084 10372 348 2.96 1.05 68
## 63 Moldova 33072 22683 935 1.81 2.83 232
## 64 Kenya 32364 18670 548 1.89 1.69 10
## 65 Nepal 31935 18631 149 2.63 0.47 5
## 66 Serbia 30657 28275 698 0.36 2.28 80
## 67 Puerto Rico 29577 2267 381 0.00 1.29 133
## 68 Ireland 27908 23364 1777 0.55 6.37 360
## 69 Austria 25253 21558 732 0.76 2.90 81
## 70 Australia 24812 19233 502 0.85 2.02 20
## 71 El Salvador 24622 12246 661 0.83 2.68 102
## 72 Czech Republic 21790 16087 411 1.11 1.89 38
## 73 Palestinian Territory 18802 11103 127 1.76 0.68 NA
## 74 Cameroon 18762 16540 408 0.00 2.17 15
## 75 Bosnia and Herzegovina 17715 11329 532 1.83 3.00 162
## 76 South Korea 17399 14200 309 2.34 1.78 6
## 77 Côte d'Ivoire 17374 15106 113 0.37 0.65 4
## 78 Denmark 16637 14258 622 0.68 3.74 107
## 79 Bulgaria 15227 10322 545 0.63 3.58 78
## 80 Madagascar 14327 13355 178 0.77 1.24 6
## 81 Republika Severna Makedonija 13595 10110 564 2.16 4.15 NA
## 82 Paraguay 12974 7197 192 3.49 1.48 27
## 83 Senegal 12949 8455 269 0.77 2.08 16
## 84 Sudan 12682 6492 815 0.47 6.43 19
## 85 Lebanon 12191 3346 121 5.28 0.99 18
## 86 Zambia 10831 9942 279 1.92 2.58 15
## 87 Libya 10437 1085 188 3.12 1.80 27
## 88 Norway 10299 9150 264 0.23 2.56 49
## [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 2020-08-23 China Hong Kong 4682 4018 77 25
## 2 2020-08-23 China Hebei 359 343 6 5
## 3 2020-08-23 China Tianjin 218 203 3 2
## 4 2020-08-23 China Guangdong 1727 1701 8 2
## 5 2020-08-23 China Shaanxi 362 343 3 2
## 6 2020-08-23 China Fujian 372 365 1 1