Ending day prediction of nCoV2019
17/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-11-16"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Afghanistan 43403 35137 1626 0.38 3.75 42
## 2 Albania 28432 13453 631 2.16 2.22 219
## 3 Algeria 68589 45148 2168 1.34 3.16 49
## 4 Angola 13615 6523 324 1.22 2.38 10
## 5 Argentina 1318384 1140196 35727 0.60 2.71 790
## 6 Armenia 117886 75865 1788 0.47 1.52 603
## 7 Australia 27750 25498 907 0.08 3.27 36
## 8 Austria 208613 129671 1887 2.28 0.90 210
## 9 Azerbaijan 77083 55755 985 1.84 1.28 97
## 10 Bahrain 84882 82680 337 0.21 0.40 198
## 11 Bangladesh 434472 351146 6215 0.49 1.43 38
## 12 Belarus 115448 96462 1053 1.11 0.91 111
## 13 Belgium 535939 32909 14421 0.88 2.69 1244
## 14 Bolivia 143246 117137 8849 0.05 6.18 758
## 15 Bosnia and Herzegovina 72689 36473 1973 1.02 2.71 601
## 16 Brazil 5876464 5291511 166014 0.23 2.83 781
## 17 Bulgaria 101770 30317 2282 3.58 2.24 328
## 18 Cameroon 22692 21510 433 0.00 1.91 16
## 19 Canada 298782 237543 10988 1.25 3.68 291
## 20 Chile 532604 508067 14863 0.25 2.79 778
## 21 China 92476 87154 4749 0.03 5.14 3
## 22 Colombia 1205217 1111867 34223 0.54 2.84 673
## 23 Costa Rica 123223 75341 1546 0.00 1.25 303
## 24 Côte d'Ivoire 20988 20663 128 0.06 0.61 5
## 25 Croatia 85519 68738 1082 1.56 1.27 264
## 26 Czech Republic 462121 328019 6370 0.62 1.38 595
## 27 Democratic Republic of the Congo 11839 11124 321 0.67 2.71 NA
## 28 Denmark 62652 48259 760 1.72 1.21 131
## 29 Dominican Republic 134203 110381 2286 0.36 1.70 211
## 30 Ecuador 180676 160639 13016 0.21 7.20 738
## 31 Egypt 111009 101179 6465 0.22 5.82 63
## 32 El Salvador 36669 33064 1047 0.86 2.86 161
## 33 Ethiopia 103056 64130 1581 0.33 1.53 14
## 34 Finland 19419 14000 371 0.54 1.91 67
## 35 France 1991233 140880 45054 0.47 2.26 690
## 36 French Guiana 10876 9995 70 0.30 0.64 234
## 37 French Polynesia 11706 4842 53 0.00 0.45 189
## 38 Georgia 82835 65291 733 3.96 0.88 184
## 39 Germany 805521 515131 12748 1.16 1.58 152
## 40 Ghana 50123 48328 322 0.00 0.64 10
## 41 Greece 76403 9989 1165 2.96 1.52 112
## 42 Guatemala 115032 104786 3938 0.13 3.42 220
## 43 Guinea 12624 11270 75 0.10 0.59 6
## 44 Honduras 103102 44778 2823 0.53 2.74 285
## 45 Hungary 147456 34010 3190 4.61 2.16 330
## 46 India 8873994 8287930 130552 0.34 1.47 95
## 47 Indonesia 470648 395443 15296 0.76 3.25 56
## 48 Iran 775121 564699 41979 1.71 5.42 500
## 49 Iraq 521542 449565 11712 0.46 2.25 291
## 50 Ireland 68356 23364 1984 0.67 2.90 402
## 51 Israel 324755 314093 2735 0.31 0.84 316
## 52 Italy 1205881 442364 45733 2.32 3.79 756
## 53 Japan 119652 103674 1903 0.80 1.59 15
## 54 Jordan 149539 10311 1843 4.08 1.23 181
## 55 Kazakhstan 121051 109944 1899 0.49 1.57 101
## 56 Kenya 70804 46244 1287 0.80 1.82 24
## 57 Kuwait 137329 128414 842 0.36 0.61 197
## 58 Kyrgyzstan 66983 57760 1203 0.72 1.80 184
## 59 Latvia 10636 1515 126 0.84 1.18 67
## 60 Lebanon 106446 61263 827 0.96 0.78 121
## 61 Libya 74324 44733 1025 0.98 1.38 149
## 62 Lithuania 35911 7882 285 3.32 0.79 105
## 63 Luxembourg 27256 17734 236 0.61 0.87 377
## 64 Madagascar 17310 16592 250 0.00 1.44 9
## 65 Malaysia 48520 35606 313 2.33 0.65 10
## 66 Maldives 12314 11316 44 0.90 0.36 81
## 67 Mexico 1006522 750190 98542 0.33 9.79 764
## 68 Moldova 89843 71874 2035 0.63 2.27 504
## 69 Montenegro 27773 17862 396 2.19 1.43 631
## 70 Morocco 296189 243359 4850 1.03 1.64 131
## 71 Mozambique 14514 12599 116 0.46 0.80 4
## 72 Myanmar 70161 53299 1599 1.69 2.28 29
## 73 Namibia 13555 12843 138 0.35 1.02 54
## 74 Nepal 210973 176364 1230 0.57 0.58 42
## 75 Netherlands 452701 322 8530 1.08 1.88 498
## 76 Nigeria 65305 61162 1163 0.24 1.78 6
## 77 Norway 29236 19025 294 0.93 1.01 54
## 78 Oman 120718 111446 1350 0.27 1.12 264
## 79 Pakistan 359032 323824 7160 0.60 1.99 32
## 80 Palestinian Territory 63867 54953 572 1.33 0.90 NA
## 81 Panama 146653 125370 2873 0.00 1.96 666
## 82 Paraguay 71574 51375 1587 0.72 2.22 223
## 83 Peru 938268 865348 35271 0.13 3.76 1070
## 84 Philippines 409574 374366 7839 0.43 1.91 72
## 85 Poland 733788 306022 10491 2.92 1.43 277
## 86 Portugal 217301 125066 3381 0.00 1.56 332
## 87 Puerto Rico 78705 35472 935 1.55 1.19 327
## 88 Qatar 136028 133010 235 0.18 0.17 82
## 89 Republika Severna Makedonija 47636 27803 1345 1.25 2.82 NA
## 90 Romania 365212 246633 9075 1.37 2.48 472
## 91 Russia 1948603 1453849 33489 1.18 1.72 229
## 92 Saudi Arabia 353556 340668 5676 0.09 1.61 163
## 93 Senegal 15801 15421 329 0.05 2.08 20
## 94 Serbia 87381 31536 1030 3.33 1.18 118
## 95 Singapore 58124 58033 28 0.01 0.05 5
## 96 Slovakia 87276 31053 526 0.59 0.60 96
## 97 Slovenia 55543 35387 831 0.91 1.50 400
## 98 South Africa 752269 695496 20314 0.17 2.70 343
## 99 South Korea 28769 25759 494 0.78 1.72 10
## 100 Spain 1521899 196958 41253 1.96 2.71 882
## 101 Sri Lanka 17674 11806 58 2.24 0.33 3
## 102 Sudan 14626 9571 1116 0.00 7.63 25
## 103 Sweden 177355 4971 6164 0.00 3.48 610
## 104 Switzerland 269974 141000 3529 4.99 1.31 408
## 105 Tajikistan 11649 11019 85 0.34 0.73 9
## 106 Tunisia 81003 55551 2396 0.74 2.96 203
## 107 Turkey 417594 356375 11601 0.80 2.78 138
## 108 Uganda 16257 8170 150 1.48 0.92 3
## 109 Ukraine 545689 244197 9697 1.83 1.78 222
## 110 United Arab Emirates 151554 143932 534 0.80 0.35 54
## 111 United Kingdom 1390681 1918 52147 1.56 3.75 768
## 112 United States 11513080 6984622 252521 1.39 2.19 763
## 113 Uzbekistan 70299 67526 598 0.17 0.85 18
## 114 Venezuela 97352 92373 851 0.43 0.87 30
## 115 Zambia 17187 16400 353 0.37 2.05 19
## [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 2020-11-16 China Sichuan 792 741 3 9
## 2 2020-11-16 China Hong Kong 5466 5198 108 8
## 3 2020-11-16 China Shanghai 1281 1198 7 4
## 4 2020-11-16 China Guangdong 1971 1925 8 3
## 5 2020-11-16 China Shandong 849 841 7 1
## 6 2020-11-16 China Taiwan 603 536 7 1
## 7 2020-11-16 China Shaanxi 487 439 3 1
## 8 2020-11-16 China Tianjin 290 269 3 1