Ending day prediction of nCoV2019
09/08/2020
source('./predict.R')
## [1] "2020-08-08"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 United States 5098494 2618025 164144 1.29 3.22 496
## 2 Brazil 2967064 2068394 99702 1.70 3.36 469
## 3 India 2097962 1433513 42690 2.83 2.03 31
## 4 Russia 882347 690207 14854 0.59 1.68 102
## 5 South Africa 545476 394759 9909 1.35 1.82 167
## 6 Chile 368825 342168 9958 0.59 2.70 521
## 7 Peru 463875 314332 20649 1.86 4.45 626
## 8 Mexico 469407 313386 51311 1.45 10.93 398
## 9 Iran 324692 282122 18264 0.66 5.63 217
## 10 Pakistan 283487 259604 6068 0.30 2.14 27
## 11 Saudi Arabia 287262 250440 3130 0.51 1.09 90
## 12 Turkey 238450 221574 5813 0.50 2.44 69
## 13 Italy 249756 201642 35190 0.22 14.09 582
## 14 Germany 216734 200426 9356 0.52 4.32 112
## 15 Colombia 367196 198495 12250 2.65 3.34 241
## 16 Spain 361442 196958 28503 1.95 7.89 610
## 17 Bangladesh 255113 146604 3365 1.03 1.32 20
## 18 Qatar 112650 109438 182 0.24 0.16 63
## 19 Canada 118985 103435 8970 0.36 7.54 238
## 20 Argentina 235677 103297 4411 3.28 1.87 98
## 21 Iraq 144064 103197 5236 0.00 3.63 130
## 22 France 197921 82836 30324 1.17 15.32 465
## 23 China 89128 82402 4688 0.11 5.26 3
## 24 Indonesia 123503 79306 5658 1.88 4.58 21
## 25 Oman 81357 73481 509 0.36 0.63 100
## 26 Kazakhstan 97829 71609 1058 0.94 1.08 56
## 27 Ecuador 91969 71463 5897 1.58 6.41 334
## 28 Philippines 126885 67117 2209 3.37 1.74 20
## 29 Belarus 68738 64744 585 0.34 0.85 62
## 30 Kuwait 71199 62806 474 0.67 0.67 111
## 31 United Arab Emirates 62300 56245 356 0.39 0.57 36
## 32 Israel 80991 55313 581 0.70 0.72 67
## 33 Egypt 95147 50553 4971 0.15 5.22 49
## 34 Singapore 54929 48312 27 0.24 0.05 5
## 35 Panama 72560 46675 1591 1.60 2.19 369
## 36 Ukraine 79750 43655 1879 1.90 2.36 43
## 37 Guatemala 55270 43135 2168 1.71 3.92 121
## 38 Dominican Republic 77709 41393 1259 1.53 1.62 116
## 39 Bahrain 43307 40276 159 0.97 0.37 93
## 40 Portugal 52351 38087 1746 0.56 3.34 171
## 41 Ghana 40533 37702 206 1.09 0.51 7
## 42 Poland 51167 36403 1800 1.68 3.52 48
## 43 Nigeria 45687 32637 936 0.98 2.05 5
## 44 Armenia 40185 32395 785 0.50 1.95 265
## 45 Switzerland 36451 31900 1986 0.50 5.45 229
## 46 Japan 47464 31307 1042 3.42 2.20 8
## 47 Kyrgyzstan 39571 31062 1459 1.04 3.69 224
## 48 Azerbaijan 33481 30056 488 0.31 1.46 48
## 49 Romania 60623 29872 2659 2.28 4.39 138
## 50 Bolivia 87891 28139 3524 1.70 4.01 302
## 51 Afghanistan 37054 25960 1312 0.11 3.54 34
## 52 Algeria 34155 23667 1282 1.57 3.75 29
## 53 Ireland 26470 23364 1772 0.37 6.69 359
## 54 Morocco 30662 21548 461 3.43 1.50 12
## 55 Uzbekistan 29652 21006 187 2.93 0.63 6
## 56 Austria 21919 19812 721 0.38 3.29 80
## 57 Moldova 26990 18918 835 1.36 3.09 207
## 58 Belgium 72784 17728 9866 1.07 13.56 851
## 59 Nepal 22592 16313 73 1.70 0.32 3
## 60 Cameroon 17718 15320 391 0.00 2.21 15
## 61 Serbia 27863 14047 632 1.94 2.27 72
## 62 South Korea 14562 13629 304 0.30 2.09 6
## 63 Denmark 14747 13046 617 1.10 4.18 107
## 64 Côte d'Ivoire 16524 12802 104 0.47 0.63 4
## 65 Czech Republic 18060 12749 389 1.86 2.15 36
## 66 Venezuela 24166 12470 208 3.81 0.86 7
## 67 Australia 20698 11320 278 2.10 1.34 11
## 68 Kenya 25138 11118 413 2.98 1.64 8
## 69 Madagascar 12922 10604 141 1.68 1.09 5
## 70 Ethiopia 21452 9415 380 2.64 1.77 3
## 71 El Salvador 19544 9392 536 0.00 2.74 83
## 72 Palestinian Territory 13928 7706 95 1.50 0.68 NA
## 73 Bulgaria 13209 7622 442 1.50 3.35 64
## 74 Republika Severna Makedonija 11554 7607 519 1.36 4.49 NA
## 75 Bosnia and Herzegovina 13687 7373 394 0.00 2.88 120
## 76 Senegal 11003 7329 229 1.07 2.08 14
## 77 Costa Rica 22081 7266 218 4.80 0.99 43
## 78 Honduras 46365 6355 1465 1.33 3.16 148
## 79 Sudan 11894 6243 773 0.97 6.50 18
## 80 Sweden 82323 4971 5763 0.43 7.00 571
## 81 United Kingdom 309005 1918 46511 0.28 15.05 685
## 82 Netherlands 57987 322 6157 0.85 10.62 359
## 83 Puerto Rico 20686 0 265 3.77 1.28 93
## [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 2020-08-08 China Hong Kong 4007 2755 47 69
## 2 2020-08-08 China Xinjiang 824 211 3 25
## 3 2020-08-08 China Shanghai 766 730 7 2
## 4 2020-08-08 China Taiwan 479 441 7 2
## 5 2020-08-08 China Zhejiang 1271 1268 1 1
## 6 2020-08-08 China Shandong 806 788 7 1
## 7 2020-08-08 China Hubei 68139 63623 4512 1
## 8 2020-08-08 China Guangdong 1688 1664 8 1