Ending day prediction of nCoV2019
26/08/2020
source('./predict.R')
## [1] "2020-08-25"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 5918213 3219327 181226 0.75 3.06 548
## 2 Brazil 3627961 2778709 115476 0.62 3.18 543
## 3 Mexico 563705 389124 60800 0.63 10.79 472
## 4 India 3191977 2425641 58793 2.61 1.84 43
## 5 United Kingdom 326614 1918 41433 0.30 12.69 610
## 6 Italy 260298 205662 35441 0.37 13.62 586
## 7 France 244854 85199 30528 0.80 12.47 468
## 8 Spain 420809 196958 28872 3.17 6.86 618
## 9 Peru 600438 407301 27813 1.03 4.63 844
## 10 Iran 363363 313058 20901 0.61 5.75 249
## 11 Colombia 551696 384171 17612 1.95 3.19 346
## 12 Russia 966189 779747 16568 0.49 1.71 114
## 13 South Africa 611450 516494 13159 0.28 2.15 222
## 14 Chile 399568 372464 10916 0.48 2.73 571
## 15 Belgium 82092 18242 9996 0.19 12.18 862
## 16 Germany 236114 209988 9427 0.55 3.99 113
## 17 Canada 125647 111694 9083 0.60 7.23 241
## 18 Argentina 350867 256789 7366 2.55 2.10 163
## 19 Indonesia 157859 112867 6858 1.57 4.34 25
## 20 Iraq 211947 153761 6596 3.72 3.11 164
## 21 Ecuador 108289 94878 6322 0.48 5.84 358
## 22 Pakistan 293711 278425 6255 0.15 2.13 28
## 23 Netherlands 67543 322 6207 0.62 9.19 362
## 24 Turkey 259692 237908 6139 0.56 2.36 73
## 25 Sweden 86891 4971 5814 0.96 6.69 576
## 26 Egypt 97478 66817 5280 0.14 5.42 52
## 27 China 90225 84613 4718 0.04 5.23 3
## 28 Bolivia 110148 47050 4578 0.92 4.16 392
## 29 Bangladesh 299628 186756 4028 0.86 1.34 24
## 30 Saudi Arabia 309768 283932 3722 0.36 1.20 107
## 31 Romania 80390 35816 3367 1.34 4.19 175
## 32 Philippines 197164 132396 3038 1.50 1.54 28
## 33 Guatemala 68533 57735 2611 0.51 3.81 146
## 34 Ukraine 108415 52870 2318 1.56 2.14 53
## 35 Switzerland 40262 34400 2002 0.50 4.97 231
## 36 Poland 63073 42784 1977 1.22 3.13 52
## 37 Panama 87485 62185 1906 0.67 2.18 442
## 38 Portugal 55912 41021 1805 0.34 3.23 177
## 39 Ireland 28116 23364 1777 0.53 6.32 360
## 40 Honduras 55479 8556 1683 1.78 3.03 170
## 41 Dominican Republic 91608 61558 1573 0.49 1.72 145
## 42 Kazakhstan 104902 93405 1523 0.18 1.45 81
## 43 Algeria 41858 29369 1446 0.96 3.45 33
## 44 Afghanistan 38070 28440 1397 0.04 3.67 36
## 45 Japan 63284 48550 1203 0.00 1.90 10
## 46 Kyrgyzstan 43245 36925 1057 0.28 2.44 162
## 47 Nigeria 52548 39257 1004 0.61 1.91 5
## 48 Moldova 34358 23869 960 2.63 2.79 238
## 49 Morocco 53252 37478 920 1.72 1.73 25
## 50 Armenia 42936 36475 858 0.26 2.00 290
## 51 Israel 105252 83028 856 1.92 0.81 99
## 52 Sudan 12974 6557 819 1.08 6.31 19
## 53 Austria 25706 21888 733 0.83 2.85 81
## 54 Serbia 30820 29132 705 0.53 2.29 81
## 55 Ethiopia 42143 15262 692 3.62 1.64 6
## 56 El Salvador 24986 12717 678 0.71 2.71 105
## 57 Belarus 70727 69097 652 0.12 0.92 69
## 58 Oman 84652 79147 642 0.17 0.76 126
## 59 Denmark 16821 14661 623 0.63 3.70 108
## 60 Republika Severna Makedonija 13799 10210 573 0.92 4.15 NA
## 61 Bulgaria 15386 10497 563 0.65 3.66 81
## 62 Bosnia and Herzegovina 18326 12081 560 1.65 3.06 171
## 63 Kenya 32557 18895 554 0.60 1.70 10
## 64 Australia 25053 19603 525 0.55 2.10 21
## 65 Azerbaijan 35559 33190 521 0.81 1.47 51
## 66 Kuwait 81573 73402 519 1.30 0.64 122
## 67 Czech Republic 22181 16376 415 1.18 1.87 39
## 68 Cameroon 18762 16540 408 0.00 2.17 15
## 69 Puerto Rico 30618 2267 390 0.00 1.27 136
## 70 United Arab Emirates 67282 58582 376 0.00 0.56 38
## 71 Costa Rica 34463 12758 362 1.90 1.05 71
## 72 Venezuela 40338 31080 337 1.96 0.84 12
## 73 South Korea 17945 14286 310 1.59 1.73 6
## 74 Uzbekistan 39641 35869 284 1.47 0.72 8
## 75 Zambia 11148 10208 280 0.60 2.51 15
## 76 Senegal 13056 8715 274 0.33 2.10 16
## 77 Norway 10395 9150 264 0.70 2.54 49
## 78 Ghana 43622 41695 263 0.00 0.60 8
## 79 Paraguay 13602 7649 219 2.79 1.61 31
## 80 Libya 11281 1112 203 2.47 1.80 30
## 81 Qatar 117266 114099 194 0.00 0.17 67
## 82 Bahrain 49719 46311 185 0.79 0.37 109
## 83 Madagascar 14475 13492 178 0.51 1.23 6
## 84 Nepal 33533 19119 164 2.62 0.49 6
## 85 Palestinian Territory 19678 13162 133 2.42 0.68 NA
## 86 Lebanon 13155 3704 126 3.60 0.96 18
## 87 Côte d'Ivoire 17506 15633 114 0.20 0.65 4
## 88 Singapore 56435 54816 27 0.05 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 2020-08-25 China Hong Kong 4710 4108 77 19
## 2 2020-08-25 China Sichuan 635 615 3 4
## 3 2020-08-25 China Guangdong 1730 1702 8 3
## 4 2020-08-25 China Tianjin 220 203 3 2
## 5 2020-08-25 China Shanghai 882 805 7 2
## 6 2020-08-25 China Shaanxi 364 347 3 2
## 7 2020-08-25 China Hebei 360 343 6 1
## 8 2020-08-25 China Liaoning 262 253 2 1