Ending day prediction of nCoV2019
23/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-11-22"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 12457447 7404807 261841 1.42 2.10 791
## 2 India 9107622 8530803 133385 0.52 1.46 97
## 3 Brazil 6052786 5429158 169016 0.54 2.79 795
## 4 France 2127051 149521 48518 0.85 2.28 743
## 5 Russia 2089329 1595443 36179 1.19 1.73 248
## 6 Spain 1589219 196958 42619 0.00 2.68 912
## 7 United Kingdom 1493383 1918 54626 1.35 3.66 805
## 8 Italy 1380531 539524 49261 2.58 3.57 815
## 9 Argentina 1366182 1187053 36902 0.53 2.70 816
## 10 Colombia 1240493 1144923 35104 0.57 2.83 690
## 11 Mexico 1032688 774930 101373 0.65 9.82 786
## 12 Peru 948081 876399 35549 0.21 3.75 1078
## 13 Germany 924162 603729 14262 2.49 1.54 170
## 14 Poland 861331 423971 13618 2.12 1.58 360
## 15 Iran 854361 603445 44802 1.55 5.24 533
## 16 South Africa 765409 707784 20845 0.35 2.72 351
## 17 Ukraine 624744 286917 10951 1.97 1.75 250
## 18 Belgium 556904 35810 15522 0.58 2.79 1339
## 19 Chile 539143 514584 15030 0.29 2.79 786
## 20 Iraq 535321 465452 11958 0.33 2.23 297
## 21 Indonesia 497668 418188 15884 0.88 3.19 58
## 22 Czech Republic 490750 394830 7095 0.65 1.45 663
## 23 Netherlands 484648 322 8891 1.12 1.83 519
## 24 Bangladesh 447341 362428 6388 0.46 1.43 39
## 25 Turkey 440805 370825 12219 1.27 2.77 145
## 26 Philippines 418818 386486 8123 0.47 1.94 74
## 27 Romania 418645 295148 10047 1.41 2.40 522
## 28 Pakistan 374173 329828 7662 0.72 2.05 35
## 29 Saudi Arabia 355258 343371 5780 0.06 1.63 166
## 30 Israel 328613 317348 2757 0.26 0.84 319
## 31 Canada 325711 260398 11406 1.56 3.50 302
## 32 Morocco 320962 266711 5256 1.49 1.64 142
## 33 Switzerland 290601 180700 4031 0.00 1.39 466
## 34 Portugal 255970 169379 3824 2.59 1.49 375
## 35 Austria 247188 169260 2388 2.16 0.97 265
## 36 Nepal 220308 199024 1321 0.76 0.60 45
## 37 Sweden 208295 4971 6406 0.00 3.08 634
## 38 Ecuador 184876 160639 13139 0.56 7.11 745
## 39 Jordan 178161 108353 2172 2.19 1.22 213
## 40 Hungary 174618 42915 3800 2.54 2.18 393
## 41 United Arab Emirates 158990 148871 552 0.76 0.35 56
## 42 Panama 153577 134360 2946 0.85 1.92 683
## 43 Bolivia 143922 119180 8904 0.05 6.19 763
## 44 Kuwait 140056 132178 866 0.23 0.62 203
## 45 Dominican Republic 137770 112090 2308 0.72 1.68 213
## 46 Qatar 137229 134282 236 0.12 0.17 82
## 47 Japan 133116 111163 2001 3.71 1.50 16
## 48 Costa Rica 129418 79372 1608 0.00 1.24 316
## 49 Armenia 126224 94090 1952 1.11 1.55 659
## 50 Kazakhstan 125466 112292 1945 0.61 1.55 104
## 51 Belarus 123999 103848 1096 1.28 0.88 116
## 52 Oman 122081 113269 1380 0.59 1.13 270
## 53 Bulgaria 120697 35752 2820 1.92 2.34 406
## 54 Guatemala 118417 107241 4074 0.56 3.44 227
## 55 Serbia 116125 31536 1168 5.23 1.01 134
## 56 Lebanon 115283 66135 894 1.43 0.78 131
## 57 Egypt 112676 101783 6535 0.32 5.80 64
## 58 Ethiopia 105352 65534 1636 0.45 1.55 14
## 59 Georgia 104732 85639 976 4.02 0.93 245
## 60 Honduras 104435 46208 2857 0.85 2.74 288
## 61 Croatia 103718 82380 1353 3.29 1.30 330
## 62 Venezuela 99435 94355 869 0.42 0.87 31
## 63 Moldova 96689 78112 2130 1.37 2.20 528
## 64 Slovakia 96241 45883 671 1.03 0.70 123
## 65 Azerbaijan 93094 63841 1131 6.80 1.21 112
## 66 China 92733 87346 4749 0.09 5.12 3
## 67 Greece 90121 9989 1527 2.63 1.69 147
## 68 Tunisia 87471 61402 2752 1.40 3.15 233
## 69 Bahrain 85591 83617 338 0.15 0.39 199
## 70 Puerto Rico 84307 38237 1012 1.69 1.20 354
## 71 Bosnia and Herzegovina 79309 43793 2246 1.69 2.83 685
## 72 Myanmar 79246 58758 1739 1.80 2.19 32
## 73 Libya 77823 48914 1089 1.32 1.40 158
## 74 Kenya 76404 51352 1366 1.61 1.79 25
## 75 Paraguay 75857 53988 1652 1.06 2.18 232
## 76 Algeria 73774 48183 2255 1.40 3.06 51
## 77 Palestinian Territory 71644 59021 636 1.98 0.89 NA
## 78 Uzbekistan 71552 68711 603 0.27 0.84 18
## 79 Denmark 70152 54949 781 1.85 1.11 135
## 80 Ireland 70143 23364 2022 0.49 2.88 409
## 81 Kyrgyzstan 69581 60811 1231 0.62 1.77 189
## 82 Nigeria 66228 61884 1166 0.37 1.76 6
## 83 Slovenia 65308 44137 1052 1.62 1.61 506
## 84 Singapore 58160 58064 28 0.02 0.05 5
## 85 Malaysia 54775 41597 335 2.04 0.61 10
## 86 Republika Severna Makedonija 53631 31659 1487 2.25 2.77 NA
## 87 Ghana 50874 49405 323 0.31 0.63 10
## 88 Lithuania 47047 10945 386 5.16 0.82 142
## 89 Afghanistan 44706 35934 1687 0.46 3.77 43
## 90 El Salvador 37562 34297 1075 0.84 2.86 166
## 91 Norway 32352 20956 306 1.06 0.95 56
## 92 Albania 32196 15469 685 2.34 2.13 238
## 93 South Korea 30733 26466 505 1.09 1.64 10
## 94 Montenegro 30653 19129 434 1.91 1.42 691
## 95 Luxembourg 30333 20014 262 1.92 0.86 419
## 96 Australia 27821 25522 907 0.05 3.26 36
## 97 Cameroon 23528 22177 435 0.00 1.85 16
## 98 Finland 21639 15300 375 1.99 1.73 68
## 99 Côte d'Ivoire 21126 20777 129 0.13 0.61 5
## 100 Sri Lanka 19946 14069 83 2.09 0.42 4
## 101 Uganda 17667 8611 168 1.35 0.95 4
## 102 Zambia 17424 16701 357 0.17 2.05 19
## 103 Madagascar 17341 16657 251 0.18 1.45 9
## 104 Senegal 15882 15488 330 0.11 2.08 20
## 105 Sudan 15839 9727 1193 1.99 7.53 27
## 106 Mozambique 14981 13151 123 0.70 0.82 4
## 107 Angola 14413 7273 336 1.02 2.33 10
## 108 Namibia 13811 13209 145 0.72 1.05 57
## 109 Latvia 13120 1635 153 2.95 1.17 81
## 110 French Polynesia 12978 4842 63 0.00 0.49 224
## 111 Guinea 12826 11838 75 0.22 0.58 6
## 112 Maldives 12578 11559 46 0.26 0.37 85
## 113 Democratic Republic of the Congo 12180 11300 327 0.42 2.68 NA
## 114 Tajikistan 11854 11229 86 0.33 0.73 9
## 115 French Guiana 11014 9995 70 0.25 0.64 234
## 116 Jamaica 10240 5481 237 0.88 2.31 80
## 117 Cape Verde 10234 9649 104 0.81 1.02 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 2020-11-22 China Hong Kong 5628 5259 108 68
## 2 2020-11-22 China Taiwan 617 548 7 6
## 3 2020-11-22 China Guangdong 1979 1939 8 4
## 4 2020-11-22 China Fujian 473 434 1 4
## 5 2020-11-22 China Shanghai 1308 1236 7 3
## 6 2020-11-22 China Shaanxi 492 447 3 2
## 7 2020-11-22 China Tianjin 298 277 3 2
## 8 2020-11-22 China Zhejiang 1293 1283 1 1
## 9 2020-11-22 China Beijing 950 936 9 1
## 10 2020-11-22 China Sichuan 797 745 3 1