Table 1 Simulation result of SEIR model for Case A.
From: Exploring dependence of COVID-19 on environmental factors and spread prediction in India
Date | S[t + 1] | E[t + 1] | I[t + 1] | R[t + 1] |
---|---|---|---|---|
31-Jan | 7826 | 31,030 | 102 | 0 |
08-Feb | 4781 | 15,836 | 206 | 0 |
16-Feb | 12,807 | 31,694 | 510 | 0 |
24-Feb | 13,125 | 40,999 | 765 | 0 |
27-Feb | 18,014 | 65,276 | 612 | 0 |
03-Mar | 10,079 | 32,226 | 514 | 0 |
10-Mar | 13,885 | 42,761 | 703 | 4 |
17-Mar | 133,124 | 478,921 | 1467 | 20 |
24-Mar | 105,141 | 318,371 | 2497 | 71 |
31-Mar | 112,752 | 158,692 | 2795 | 208 |
07-Apr | 116,052 | 76,902 | 4723 | 774 |
14-Apr | 114,883 | 59,122 | 10,513 | 1105 |
21-Apr | 91,901 | 46,800 | 12,814 | 1182 |
28-Apr | 88,217 | 39,422 | 16,818 | 1565 |
05-May | 84,676 | 25,541 | 20,943 | 2003 |
12-May | 75,347 | 20,454 | 27,447 | 2546 |
19-May | 60,261 | 15,649 | 16,938 | 3552 |
26-May | 48,192 | 10,894 | 12,941 | 4488 |
02-Jun | 38,539 | 4895 | 11,591 | 5358 |
09-Jun | 35,441 | 4510 | 10,791 | 6168 |
16-Jun | 21,256 | 4313 | 10,050 | 6921 |