Ending day prediction of nCoV2019
22/10/2020
options(width = 100)
source('./predict.R')## [1] "2020-10-18"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Peru 865549 774356 33702 0.00 3.89 1022
## 2 Belgium 213115 21074 10392 5.42 4.88 897
## 3 Bolivia 139710 104202 8463 0.11 6.06 725
## 4 Brazil 5235344 4635315 153905 0.21 2.94 724
## 5 Spain 982723 196958 33775 0.37 3.44 722
## 6 Chile 491760 463943 13635 0.36 2.77 713
## 7 Ecuador 153289 134187 12387 0.57 8.08 702
## 8 United States 8386978 5453315 224728 0.53 2.68 679
## 9 Mexico 847108 615680 86059 0.00 10.16 667
## 10 United Kingdom 722409 1918 43646 2.41 6.04 643
## 11 Italy 414241 251461 36543 2.91 8.82 604
## 12 Panama 124745 101041 2564 0.51 2.06 594
## 13 Sweden 103200 4971 5918 0.00 5.73 586
## 14 Argentina 989680 803965 26267 0.71 2.65 581
## 15 Colombia 959572 858294 28970 0.76 3.02 569
## 16 France 897034 104696 33477 3.44 3.73 513
## 17 Netherlands 228234 322 6751 3.72 2.96 394
## 18 Moldova 67050 47842 1584 0.60 2.36 393
## 19 Montenegro 15615 10994 236 1.22 1.51 376
## 20 Ireland 49962 23364 1852 2.64 3.71 375
## 21 Armenia 64694 48104 1081 2.69 1.67 365
## 22 Iran 530380 427400 30375 0.74 5.73 362
## 23 South Africa 703793 634543 18471 0.24 2.62 311
## 24 Romania 180388 130894 5872 2.22 3.26 305
## 25 Bosnia and Herzegovina 34112 24995 984 1.64 2.88 300
## 26 Puerto Rico 57293 2267 766 1.14 1.34 268
## 27 Canada 198148 167112 9760 0.93 4.93 259
## 28 Honduras 87594 34662 2563 1.04 2.93 259
## 29 Iraq 426634 360477 10254 0.73 2.40 255
## 30 Israel 303109 268093 2209 0.11 0.73 255
## 31 Switzerland 74422 50600 2123 0.00 2.85 245
## 32 Costa Rica 95514 58816 1183 0.00 1.24 232
## 33 French Guiana 10243 9982 69 0.00 0.67 231
## 34 Oman 109953 95624 1101 0.60 1.00 216
## 35 Portugal 99911 59000 2181 1.89 2.18 214
## 36 Luxembourg 10888 8468 133 1.69 1.22 212
## 37 Dominican Republic 121347 98207 2199 0.35 1.81 203
## 38 Guatemala 101360 90610 3530 0.33 3.48 197
## 39 Bahrain 77902 74320 300 0.43 0.39 176
## 40 Kyrgyzstan 52044 45736 1111 1.08 2.13 170
## 41 Paraguay 54724 36068 1188 0.96 2.17 167
## 42 Russia 1399334 1070576 24187 1.09 1.73 166
## 43 Kuwait 116146 107860 701 0.57 0.60 164
## 44 Albania 17055 10071 451 1.68 2.64 157
## 45 Saudi Arabia 342202 328538 5185 0.10 1.52 149
## 46 El Salvador 31666 27000 922 0.67 2.91 142
## 47 Bulgaria 29503 16943 986 4.37 3.34 142
## 48 Czech Republic 171487 69090 1402 2.55 0.82 131
## 49 Ukraine 298872 125377 5607 1.78 1.88 128
## 50 Germany 366426 291842 9901 1.36 2.70 118
## 51 Hungary 46290 14088 1142 3.29 2.47 118
## 52 Denmark 35893 29741 680 2.92 1.89 117
## 53 Turkey 347493 304003 9296 0.53 2.68 110
## 54 Libya 48790 26889 725 1.98 1.49 106
## 55 Austria 64806 49561 893 2.65 1.38 99
## 56 Belarus 87698 79757 929 0.73 1.06 98
## 57 Poland 175766 92651 3573 2.84 2.03 94
## 58 Kazakhstan 109406 105001 1768 1.02 1.62 94
## 59 Slovenia 13142 6313 188 5.85 1.43 90
## 60 Serbia 36160 31536 776 0.60 2.15 89
## 61 Croatia 25580 20053 363 1.51 1.42 88
## 62 India 7547762 6658937 114629 0.73 1.52 83
## 63 Morocco 173632 143972 2928 2.85 1.69 79
## 64 Qatar 129431 126406 224 0.16 0.17 78
## 65 Lebanon 62286 28062 520 1.60 0.83 76
## 66 Maldives 11210 10164 37 0.29 0.33 68
## 67 Finland 13424 9100 351 0.99 2.61 63
## 68 Azerbaijan 44964 40037 626 1.46 1.39 62
## 69 Philippines 356618 310158 6652 0.64 1.87 61
## 70 Egypt 105424 98247 6120 0.12 5.81 60
## 71 Tunisia 40542 5032 626 0.00 1.54 53
## 72 Namibia 12293 10422 131 0.24 1.07 52
## 73 Norway 16457 11863 278 1.06 1.69 51
## 74 Greece 25370 9989 509 1.76 2.01 49
## 75 United Arab Emirates 115602 107516 463 1.06 0.40 47
## 76 Indonesia 361867 285324 12511 1.15 3.46 46
## 77 Algeria 54402 38088 1856 0.72 3.41 42
## 78 Afghanistan 40200 33614 1492 0.15 3.71 38
## 79 Australia 27391 25108 904 0.03 3.30 35
## 80 Bangladesh 388569 303972 5660 0.33 1.46 34
## 81 Jordan 37573 6912 345 4.22 0.92 34
## 82 Georgia 17477 8060 136 3.97 0.78 34
## 83 Pakistan 323019 307069 6654 0.18 2.06 30
## 84 Venezuela 86636 79694 736 1.02 0.85 26
## 85 Nepal 132246 92166 739 2.28 0.56 25
## 86 Zambia 15853 15005 346 0.41 2.18 19
## 87 Senegal 15418 13814 317 0.17 2.06 19
## 88 Sudan 13691 6764 836 0.00 6.11 19
## 89 Uzbekistan 63124 60080 525 0.50 0.83 16
## 90 Myanmar 36025 17076 880 1.65 2.44 16
## 91 Slovakia 29835 7359 88 2.50 0.29 16
## 92 Cameroon 21441 20117 423 0.00 1.97 16
## 93 Kenya 44881 31857 832 1.55 1.85 15
## 94 Japan 93219 85485 1675 0.46 1.80 13
## 95 Ethiopia 89137 42649 1352 0.79 1.52 12
## 96 Ghana 47310 46618 310 0.24 0.66 10
## 97 South Korea 25199 23312 444 1.77 1.76 9
## 98 Madagascar 16810 16215 238 2.69 1.42 9
## 99 Tajikistan 10493 9511 80 0.36 0.76 8
## 100 Malaysia 20498 13262 187 0.97 0.91 6
## 101 Nigeria 61440 56611 1125 0.25 1.83 5
## 102 Singapore 57911 57807 28 0.01 0.05 5
## 103 Côte d'Ivoire 20323 20021 121 3.55 0.60 5
## 104 Guinea 11518 10427 70 0.35 0.61 5
## 105 China 91507 86312 4746 0.02 5.19 3
## 106 Mozambique 10866 8513 75 2.07 0.69 2
## 107 Uganda 10590 6992 97 1.29 0.92 2
## 108 Palestinian Territory 47135 40498 408 0.83 0.87 NA
## 109 Republika Severna Makedonija 23628 17239 834 1.84 3.53 NA
## 110 Democratic Republic of the Congo 11006 10356 302 0.05 2.74 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 2020-10-18 China Shanghai 1090 1011 7 5
## 2 2020-10-18 China Hong Kong 5241 4973 105 4
## 3 2020-10-18 China Guangdong 1884 1840 8 3
## 4 2020-10-18 China Shaanxi 436 406 3 2
## 5 2020-10-18 China Tianjin 254 240 3 2
## 6 2020-10-18 China Shanxi 209 204 0 1