Ending day prediction of nCoV2019
01/11/2020
options(width = 100)
source('./predict.R')## [1] "2020-10-31"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Mexico 918811 673457 91289 0.66 9.94 708
## 2 Ecuador 168192 141759 12670 1.14 7.53 718
## 3 Bolivia 141631 111178 8715 0.10 6.15 747
## 4 Sudan 13804 6764 837 0.23 6.06 19
## 5 Egypt 107376 99353 6258 0.16 5.83 61
## 6 Iran 612772 481930 34864 1.29 5.69 415
## 7 Italy 679430 289426 38618 10.19 5.68 639
## 8 China 91921 86654 4746 0.03 5.16 3
## 9 Sweden 124355 4971 5938 0.00 4.78 588
## 10 United Kingdom 1011660 1918 46555 4.80 4.60 686
## 11 Canada 234433 195795 10136 2.58 4.32 269
## 12 Peru 902503 825197 34476 0.55 3.82 1046
## 13 Afghanistan 41425 34321 1536 0.22 3.71 39
## 14 Guatemala 107939 97289 3729 1.08 3.45 208
## 15 Algeria 57942 40201 1964 1.06 3.39 45
## 16 Indonesia 410088 337801 13869 0.77 3.38 51
## 17 Australia 27590 25324 907 0.04 3.29 36
## 18 Republika Severna Makedonija 31572 20731 994 6.81 3.15 NA
## 19 Ireland 61456 23364 1913 1.92 3.11 387
## 20 Colombia 1074184 969230 31314 2.00 2.92 615
## 21 El Salvador 33445 29186 975 0.00 2.92 150
## 22 Brazil 5535460 4966264 159883 0.71 2.89 752
## 23 Romania 241339 172513 6968 2.44 2.89 362
## 24 Spain 1264517 196958 35878 2.07 2.84 767
## 25 Chile 510256 486642 14207 0.63 2.78 743
## 26 Belgium 412314 24906 11452 5.11 2.78 988
## 27 Honduras 96888 40129 2669 0.77 2.75 269
## 28 Turkey 375367 323971 10252 1.22 2.73 122
## 29 Democratic Republic of the Congo 11306 10585 307 0.47 2.72 NA
## 30 France 1367625 117658 36788 6.62 2.69 564
## 31 South Africa 725452 654182 19276 0.51 2.66 325
## 32 Argentina 1157179 961101 30792 1.17 2.66 681
## 33 Angola 10805 4523 284 5.22 2.63 9
## 34 United States 9399268 6057345 236057 1.97 2.51 713
## 35 Bulgaria 51041 19877 1254 6.00 2.46 180
## 36 Bosnia and Herzegovina 50090 28083 1234 4.06 2.46 376
## 37 Albania 20875 11189 509 2.76 2.44 177
## 38 Moldova 76040 55782 1785 2.43 2.35 442
## 39 Myanmar 52706 32774 1237 4.57 2.35 23
## 40 Hungary 75321 19032 1750 5.47 2.32 181
## 41 Iraq 472630 399655 10910 0.42 2.31 271
## 42 Paraguay 62596 42337 1387 0.88 2.22 194
## 43 Finland 16113 11300 358 1.28 2.22 65
## 44 Tunisia 59813 5032 1317 3.07 2.20 111
## 45 Zambia 16432 15680 349 0.66 2.12 19
## 46 Netherlands 351178 322 7395 2.87 2.11 432
## 47 Senegal 15616 14853 324 0.07 2.07 19
## 48 Pakistan 332993 314066 6806 0.24 2.04 31
## 49 Panama 132867 109369 2688 0.62 2.02 623
## 50 Germany 526056 351127 10543 5.68 2.00 126
## 51 Cameroon 21793 20117 426 0.00 1.95 16
## 52 Kyrgyzstan 58878 49983 1144 0.83 1.94 175
## 53 Philippines 380729 331046 7221 0.47 1.90 66
## 54 Ukraine 387481 158928 7196 2.31 1.86 165
## 55 Nigeria 62691 58430 1144 0.27 1.82 6
## 56 Kenya 55192 35876 981 4.90 1.78 18
## 57 Dominican Republic 127018 104862 2245 0.88 1.77 207
## 58 Portugal 141279 80280 2507 6.53 1.77 246
## 59 Serbia 46954 31536 820 7.71 1.75 94
## 60 Japan 100577 92475 1756 0.00 1.75 14
## 61 South Korea 26511 24311 464 0.48 1.75 9
## 62 Russia 1618116 1215414 27990 1.13 1.73 192
## 63 Morocco 219084 181275 3695 3.32 1.69 100
## 64 Montenegro 18341 14084 301 3.35 1.64 479
## 65 Kazakhstan 111953 106310 1825 0.41 1.63 97
## 66 Greece 39251 9989 626 10.54 1.59 60
## 67 Saudi Arabia 347282 333842 5402 0.12 1.56 155
## 68 Poland 362731 140280 5631 6.42 1.55 149
## 69 Denmark 46862 35019 721 5.20 1.54 124
## 70 Ethiopia 96169 52517 1469 0.91 1.53 13
## 71 Armenia 89813 55317 1341 2.72 1.49 453
## 72 India 8182881 7489203 122149 1.15 1.49 89
## 73 Switzerland 154251 65200 2286 0.00 1.48 264
## 74 Bangladesh 407684 324145 5923 0.32 1.45 36
## 75 Madagascar 16968 16301 244 0.00 1.44 9
## 76 Libya 61095 35030 857 0.77 1.40 125
## 77 Norway 20214 11863 282 3.04 1.40 52
## 78 Azerbaijan 55269 43543 730 2.02 1.32 72
## 79 Costa Rica 109971 66719 1385 2.23 1.26 272
## 80 Puerto Rico 66128 2267 822 2.05 1.24 287
## 81 Jordan 72607 7600 829 11.05 1.14 81
## 82 Croatia 49316 32818 546 5.95 1.11 133
## 83 Lithuania 14824 4872 165 7.24 1.11 61
## 84 Austria 104925 67226 1109 5.37 1.06 123
## 85 Oman 114434 103060 1208 0.00 1.06 237
## 86 Namibia 12935 11036 133 0.60 1.03 52
## 87 Belarus 98482 86663 980 1.01 1.00 104
## 88 Slovenia 34307 12091 338 5.55 0.99 163
## 89 Czech Republic 330445 137950 3197 6.57 0.97 299
## 90 Palestinian Territory 53520 46309 483 0.84 0.90 NA
## 91 Uganda 12410 7503 110 1.71 0.89 2
## 92 Luxembourg 17933 10081 157 9.64 0.88 251
## 93 Venezuela 91589 86335 793 0.34 0.87 28
## 94 Uzbekistan 66628 63864 563 0.13 0.84 17
## 95 Israel 314422 301241 2539 0.23 0.81 293
## 96 Georgia 38936 22691 307 4.49 0.79 77
## 97 Malaysia 31548 21248 249 2.13 0.79 8
## 98 Lebanon 81228 41624 637 4.44 0.78 93
## 99 Tajikistan 11017 10233 82 0.36 0.74 9
## 100 Mozambique 12869 10437 92 2.75 0.71 3
## 101 Ghana 48055 47169 320 0.00 0.67 10
## 102 French Guiana 10536 9995 70 1.06 0.66 234
## 103 Kuwait 125926 116862 779 0.47 0.62 182
## 104 Côte d'Ivoire 20716 20365 126 0.43 0.61 5
## 105 Guinea 12072 10550 72 0.43 0.60 5
## 106 Nepal 170743 131222 937 1.49 0.55 32
## 107 Bahrain 81466 78365 320 0.25 0.39 188
## 108 Slovakia 57664 12617 219 4.67 0.38 40
## 109 United Arab Emirates 132629 128902 495 0.85 0.37 50
## 110 Maldives 11659 10814 38 0.37 0.33 70
## 111 Sri Lanka 10663 4399 20 8.91 0.19 1
## 112 Qatar 132556 129583 232 0.16 0.18 81
## 113 Singapore 58015 57913 28 0.02 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 2020-10-31 China Gansu 177 168 2 6
## 2 2020-10-31 China Shanghai 1181 1074 7 5
## 3 2020-10-31 China Hong Kong 5323 5089 105 3
## 4 2020-10-31 China Guangdong 1922 1882 8 3
## 5 2020-10-31 China Xinjiang 956 899 3 3
## 6 2020-10-31 China Inner Mongolia 291 270 1 3
## 7 2020-10-31 China Hunan 1020 1015 4 1
## 8 2020-10-31 China Sichuan 744 710 3 1
## 9 2020-10-31 China Taiwan 555 515 7 1
## 10 2020-10-31 China Hainan 171 165 6 1