Ending day prediction of nCoV2019
04/08/2020
source('./predict.R')
## [1] "2020-08-03"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 4816804 2380584 158384 1.06 3.29 478
## 2 Brazil 2733677 1884051 94130 0.92 3.44 443
## 3 India 1830949 1200303 38485 3.67 2.10 28
## 4 Russia 856264 653593 14207 0.63 1.66 97
## 5 South Africa 511485 347227 8366 1.63 1.64 141
## 6 Mexico 439046 289394 47746 1.12 10.87 370
## 7 Peru 428850 294187 19614 1.58 4.57 595
## 8 Chile 359731 332411 9608 0.58 2.67 503
## 9 Spain 335602 196958 28445 0.00 8.48 608
## 10 Colombia 317651 167239 10650 3.75 3.35 209
## 11 Iran 312035 270228 17405 0.84 5.58 207
## 12 United Kingdom 304695 1918 46201 0.24 15.16 681
## 13 Saudi Arabia 280093 242055 2949 0.45 1.05 85
## 14 Pakistan 280029 248873 5984 0.12 2.14 27
## 15 Italy 248070 200460 35154 0.10 14.17 581
## 16 Bangladesh 242102 137905 3184 0.56 1.32 19
## 17 Turkey 232856 216494 5728 0.43 2.46 68
## 18 Germany 212018 197573 9330 0.39 4.40 111
## 19 Argentina 201919 91302 3667 2.74 1.82 81
## 20 France 187919 81500 30265 0.00 16.11 464
## 21 Iraq 131886 94111 4934 2.12 3.74 123
## 22 Canada 116884 101574 8945 0.24 7.65 237
## 23 Indonesia 113134 70237 5302 1.51 4.69 19
## 24 Qatar 111322 108002 177 0.19 0.16 61
## 25 Philippines 106330 65821 2104 3.05 1.98 19
## 26 Egypt 94483 42455 4865 0.18 5.15 48
## 27 Kazakhstan 92662 62511 793 1.17 0.86 42
## 28 China 88540 81551 4678 0.14 5.28 3
## 29 Ecuador 86524 59344 5750 0.34 6.65 326
## 30 Sweden 81012 4971 5744 0.73 7.09 569
## 31 Bolivia 80153 24156 3153 1.73 3.93 270
## 32 Oman 79159 61421 421 0.00 0.53 82
## 33 Israel 73231 47523 541 1.27 0.74 63
## 34 Ukraine 73158 39876 1738 1.37 2.38 40
## 35 Dominican Republic 72243 38244 1178 1.16 1.63 109
## 36 Belgium 69849 17590 9845 0.64 14.09 849
## 37 Kuwait 68299 59739 461 0.57 0.67 108
## 38 Belarus 68166 62943 571 0.15 0.84 60
## 39 Panama 67453 41038 1471 1.61 2.18 341
## 40 United Arab Emirates 60999 54615 351 0.00 0.58 35
## 41 Netherlands 55470 322 6149 0.68 11.09 359
## 42 Romania 54009 27750 2432 1.55 4.50 126
## 43 Singapore 53051 46926 27 0.43 0.05 5
## 44 Portugal 51569 37111 1738 0.21 3.37 170
## 45 Guatemala 51306 38416 1995 0.64 3.89 111
## 46 Poland 47469 34881 1732 1.23 3.65 46
## 47 Nigeria 43841 20308 888 0.70 2.03 4
## 48 Honduras 43197 5794 1377 1.20 3.19 139
## 49 Bahrain 41536 38666 148 0.84 0.36 87
## 50 Japan 40215 25906 1018 6.04 2.53 8
## 51 Armenia 39102 29861 762 0.13 1.95 257
## 52 Ghana 37812 34313 191 2.16 0.51 6
## 53 Kyrgyzstan 37129 27927 1420 1.12 3.82 218
## 54 Afghanistan 36710 25510 1284 0.00 3.50 33
## 55 Switzerland 35616 31500 1981 0.19 5.56 229
## 56 Azerbaijan 32684 27760 468 1.64 1.43 46
## 57 Algeria 31465 21419 1231 1.66 3.91 28
## 58 Serbia 26451 14047 598 0.98 2.26 68
## 59 Ireland 26162 23364 1763 0.20 6.74 357
## 60 Uzbekistan 26066 16838 157 2.88 0.60 5
## 61 Morocco 25537 18435 382 2.09 1.50 10
## 62 Moldova 25482 17942 800 1.47 3.14 198
## 63 Kenya 22597 8740 382 5.78 1.69 7
## 64 Austria 21385 19063 718 0.38 3.36 80
## 65 Nepal 20750 14961 57 2.06 0.27 2
## 66 Venezuela 20206 11404 174 3.92 0.86 6
## 67 Costa Rica 18975 4585 162 4.33 0.85 32
## 68 Puerto Rico 18791 0 230 5.14 1.22 80
## 69 Ethiopia 18706 7601 310 3.93 1.66 3
## 70 Australia 18318 10622 221 2.20 1.21 9
## 71 El Salvador 17843 8809 477 2.26 2.67 74
## 72 Cameroon 17255 15320 391 0.00 2.27 15
## 73 Czech Republic 16800 11605 384 0.60 2.29 36
## 74 Côte d'Ivoire 16182 11801 102 0.45 0.63 4
## 75 South Korea 14389 13280 301 0.16 2.09 6
## 76 Denmark 14235 12783 616 1.48 4.33 106
## 77 Palestinian Territory 12541 5390 84 1.98 0.67 NA
## 78 Bosnia and Herzegovina 12462 6359 362 1.35 2.90 110
## 79 Bulgaria 11955 6420 388 1.01 3.25 56
## 80 Sudan 11738 6137 752 0.00 6.41 17
## 81 Madagascar 11660 8825 118 1.15 1.01 4
## 82 Republika Severna Makedonija 11128 6972 500 0.67 4.49 NA
## 83 Senegal 10386 6901 211 0.41 2.03 13
## [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 2020-08-03 China Hong Kong 3591 2037 37 80
## 2 2020-08-03 China Xinjiang 696 115 3 28
## 3 2020-08-03 China Liaoning 253 160 2 9
## 4 2020-08-03 China Jiangsu 658 654 0 3
## 5 2020-08-03 China Shandong 804 786 7 2
## 6 2020-08-03 China Guangdong 1683 1657 8 1