Ending day prediction of nCoV2019
28/08/2020
source('./predict.R')
## [1] "2020-08-27"
## country cum_confirm cum_heal cum_dead inc_r d_rate d_pm
## 1 Italy 262540 206329 35458 0.52 13.51 586
## 2 United Kingdom 328846 1918 41465 0.32 12.61 611
## 3 France 253587 85524 30544 2.19 12.04 468
## 4 Belgium 83030 18331 9879 0.71 11.90 852
## 5 Mexico 573888 396758 62076 0.93 10.82 481
## 6 Netherlands 68114 322 6215 0.00 9.12 363
## 7 Canada 126417 112455 9094 0.36 7.19 241
## 8 Spain 426818 196958 28971 0.85 6.79 620
## 9 Sweden 87072 4971 5817 0.00 6.68 576
## 10 Sudan 13045 6594 823 0.55 6.31 19
## 11 Ireland 28363 23364 1777 0.57 6.27 360
## 12 Ecuador 110549 95097 6410 1.39 5.80 363
## 13 Iran 367796 316638 21137 0.60 5.75 252
## 14 Egypt 97825 68713 5317 0.21 5.44 52
## 15 China 90292 84783 4722 0.03 5.23 3
## 16 Switzerland 41006 34800 2003 0.89 4.88 231
## 17 Peru 613378 421877 28124 0.99 4.59 853
## 18 Indonesia 162884 118575 7064 1.70 4.34 26
## 19 Bolivia 112094 50397 4726 0.99 4.22 405
## 20 Romania 83150 36677 3459 1.84 4.16 180
## 21 Republika Severna Makedonija 13914 10507 578 0.83 4.15 NA
## 22 Germany 239197 212984 9438 0.73 3.95 113
## 23 Guatemala 70714 58783 2662 1.53 3.76 149
## 24 Bulgaria 15751 10750 586 1.04 3.72 84
## 25 Afghanistan 38129 29046 1401 0.04 3.67 36
## 26 Denmark 16962 14974 623 0.34 3.67 108
## 27 Algeria 42619 29886 1465 0.93 3.44 33
## 28 Portugal 56274 41184 1807 0.00 3.21 177
## 29 Colombia 572270 407121 18184 1.80 3.18 357
## 30 Brazil 3722004 2908848 117756 1.30 3.16 554
## 31 Poland 64689 44097 2010 1.39 3.11 53
## 32 Iraq 215784 157215 6668 1.81 3.09 166
## 33 Bosnia and Herzegovina 18920 12480 582 1.67 3.08 177
## 34 Honduras 56649 9169 1747 1.38 3.08 176
## 35 United States 6002092 3314664 183685 0.76 3.06 555
## 36 Austria 26361 22317 733 1.26 2.78 81
## 37 Moldova 34982 24156 967 1.82 2.76 240
## 38 El Salvador 25284 13291 694 0.57 2.74 107
## 39 Chile 402365 376268 10990 0.34 2.73 575
## 40 Norway 10504 9150 264 0.48 2.51 49
## 41 Zambia 11376 10693 282 0.81 2.48 15
## 42 Kyrgyzstan 43459 37492 1057 0.23 2.43 162
## 43 Turkey 262507 239797 6183 0.50 2.36 73
## 44 Serbia 30974 29343 707 0.50 2.28 81
## 45 Australia 25322 20366 572 0.47 2.26 22
## 46 South Africa 615701 525242 13502 0.44 2.19 228
## 47 Panama 89082 63595 1932 0.79 2.17 448
## 48 Cameroon 18973 16540 410 0.00 2.16 15
## 49 Ukraine 112059 54217 2403 1.79 2.14 55
## 50 Pakistan 294638 279561 6274 0.15 2.13 28
## 51 Argentina 370188 268801 7839 2.93 2.12 173
## 52 Senegal 13186 8852 275 0.00 2.09 16
## 53 Armenia 43270 36988 864 0.47 2.00 292
## 54 Nigeria 53021 40281 1010 0.42 1.90 5
## 55 Japan 65763 52823 1241 2.75 1.89 10
## 56 India 3315017 2524539 60652 2.10 1.83 44
## 57 Czech Republic 22951 16954 418 1.79 1.82 39
## 58 Libya 12274 1209 219 3.72 1.78 32
## 59 Morocco 55864 40586 984 2.45 1.76 27
## 60 Dominican Republic 92557 63478 1613 0.37 1.74 149
## 61 Russia 975576 792561 16804 0.49 1.72 115
## 62 Kenya 33016 19296 564 0.65 1.71 10
## 63 South Korea 18706 14461 313 2.41 1.67 6
## 64 Paraguay 14872 8134 247 4.53 1.66 35
## 65 Ethiopia 45221 16311 725 3.51 1.60 6
## 66 Philippines 205581 133990 3234 1.59 1.57 30
## 67 Azerbaijan 35707 33281 522 0.42 1.46 51
## 68 Kazakhstan 105243 94713 1523 0.16 1.45 81
## 69 Bangladesh 304583 193458 4127 0.81 1.35 25
## 70 Puerto Rico 31383 2267 412 2.16 1.31 144
## 71 Madagascar 14554 13582 181 0.00 1.24 7
## 72 Saudi Arabia 310836 284945 3755 0.00 1.21 108
## 73 Costa Rica 36307 13317 386 2.84 1.06 76
## 74 Lebanon 14248 3955 139 4.10 0.98 20
## 75 Belarus 70974 69378 657 0.00 0.93 70
## 76 Venezuela 41965 32931 351 1.96 0.84 12
## 77 Israel 109039 87017 877 1.58 0.80 101
## 78 Oman 84818 79409 646 0.00 0.76 127
## 79 Uzbekistan 40338 37116 297 1.38 0.74 9
## 80 Palestinian Territory 20677 14194 141 2.59 0.68 NA
## 81 Côte d'Ivoire 17603 15941 114 0.23 0.65 4
## 82 Kuwait 82271 73906 521 0.00 0.63 122
## 83 Ghana 43769 42048 270 0.12 0.62 9
## 84 United Arab Emirates 68511 59472 378 0.72 0.55 38
## 85 Nepal 35529 20073 183 3.23 0.52 6
## 86 Bahrain 50393 47049 186 0.63 0.37 109
## 87 Qatar 117988 114797 195 0.21 0.17 68
## 88 Singapore 56572 54971 27 0.14 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 2020-08-27 China Hong Kong 4755 4200 81 20
## 2 2020-08-27 China Sichuan 644 619 3 4
## 3 2020-08-27 China Hebei 362 343 6 2
## 4 2020-08-27 China Shanghai 888 819 7 2