Ending day prediction of nCoV2019
28/06/2020
source('./predict.R')
## [1] "2020-06-27"
## country cum_confirm cum_heal cum_dead inc_r death_r dead_pm
## 1 Iraq 43262 19938 1660 10.53 3.84 41
## 2 Argentina 55343 19143 1192 5.50 2.15 26
## 3 South Africa 124590 64111 2340 5.25 1.88 39
## 4 Colombia 84442 34937 2811 4.77 3.33 55
## 5 Nepal 12309 2834 28 4.71 0.23 1
## 6 India 518936 302945 15880 4.44 3.06 12
## 7 Honduras 15994 1678 471 4.09 2.94 48
## 8 Brazil 1280335 697526 56121 3.83 4.38 264
## 9 Morocco 11854 8700 218 3.39 1.84 6
## 10 Bolivia 29423 7736 934 3.23 3.17 80
## 11 Nigeria 23298 8253 554 3.02 2.38 3
## 12 Bahrain 24805 19137 78 3.01 0.31 46
## 13 Panama 29905 15270 575 2.99 1.92 133
## 14 Kazakhstan 20319 12548 150 2.88 0.74 8
## 15 Armenia 23909 12911 421 2.85 1.76 142
## 16 Bangladesh 133978 54318 1695 2.69 1.27 10
## 17 Indonesia 52812 21909 2720 2.69 5.15 10
## 18 Mexico 208392 120562 25779 2.68 12.37 200
## 19 Egypt 62755 16737 2620 2.66 4.17 26
## 20 Oman 36953 20363 159 2.55 0.43 31
## 21 Ghana 15834 11755 103 2.33 0.65 3
## 22 Ukraine 42065 18701 1110 2.31 2.64 25
## 23 Saudi Arabia 178504 122128 1511 2.25 0.85 43
## 24 Dominican Republic 29764 16357 712 2.14 2.39 66
## 25 Philippines 34803 9430 1236 2.14 3.55 11
## 26 Moldova 15776 8765 515 2.09 3.26 128
## 27 Algeria 12685 9066 885 1.93 6.98 20
## 28 United States 2554807 1068868 127688 1.93 5.00 386
## 29 Serbia 13792 12338 267 1.67 1.94 31
## 30 Chile 263360 223431 5068 1.66 1.92 265
## 31 Czech Republic 11044 7669 349 1.60 3.16 33
## 32 Pakistan 198883 86906 4035 1.60 2.03 18
## 33 Kuwait 44391 34586 344 1.57 0.77 81
## 34 Peru 272364 159806 8939 1.40 3.28 271
## 35 Guatemala 15828 3028 672 1.34 4.25 38
## 36 Ecuador 53856 26493 4406 1.32 8.18 250
## 37 Romania 26022 18530 1589 1.26 6.11 83
## 38 Iran 220180 180661 10364 1.13 4.71 123
## 39 Russia 627646 393352 8969 1.10 1.43 61
## 40 France 162936 75351 29778 0.98 18.28 456
## 41 Poland 33714 19972 1436 0.96 4.26 38
## 42 Qatar 93663 77225 110 0.95 0.12 38
## 43 Portugal 41189 26864 1561 0.79 3.79 153
## 44 Israel 22800 16872 314 0.72 1.38 36
## 45 Turkey 194511 167198 5065 0.72 2.60 60
## 46 Singapore 43246 36825 26 0.68 0.06 4
## 47 Belarus 61095 44126 377 0.63 0.62 40
## 48 Afghanistan 30616 10674 703 0.54 2.30 18
## 49 Japan 18406 16452 972 0.50 5.28 8
## 50 United Kingdom 309360 1918 43414 0.45 14.03 640
## 51 South Korea 12653 11317 282 0.40 2.23 6
## 52 Austria 17580 16371 700 0.33 3.98 78
## 53 Germany 195044 179882 9117 0.30 4.67 109
## 54 Denmark 12875 11708 604 0.30 4.69 104
## 55 Switzerland 31555 29000 1962 0.22 6.22 227
## 56 Belgium 61209 16941 9732 0.17 15.90 840
## 57 Canada 102794 65726 8508 0.17 8.28 225
## 58 Spain 294985 196958 28338 0.14 9.61 606
## 59 Netherlands 50074 322 6105 0.14 12.19 356
## 60 Italy 239961 187615 34708 0.11 14.46 574
## 61 Ireland 25414 23364 1730 0.04 6.81 350
## 62 China 85174 80021 4648 0.03 5.46 3
## 63 United Arab Emirates 46973 35469 310 0.00 0.66 31
## 64 Azerbaijan 15369 8364 187 0.00 1.22 18
## 65 Cameroon 12592 10100 313 0.00 2.49 12
## 66 Sweden 65137 4971 5280 0.00 8.11 523
## [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 2020-06-27 China Beijing 891 585 9 17
## 2 2020-06-27 China Guangdong 1637 1622 8 2
## 3 2020-06-27 China Gansu 163 140 2 2
## 4 2020-06-27 China Shanghai 706 675 7 1
## 5 2020-06-27 China Hong Kong 1197 1095 7 1