From: Towards Dynamic lockdown strategies controlling pandemic spread under healthcare resource budget
Parameter | Notation | Value |
---|---|---|
Number of iterations | – | 100 |
Simulation duration | T | 180 days |
Number of boroughs | |B| | 5 |
Number of lockdown levels | \(\chi\) | 6 |
Interval for invoking ODE | \(\eta\) | 12 hours |
SEIRD parameters(Korolev 2020) | \(\sigma , \gamma , \alpha\) | 0.25, 0.1, 0.05 |
Interval and initial number of new infection | \(\zeta , k\) | 30 days, 200 |
Migration rate | \(\zeta\) | 0.01 |
Treatment rate | r | 0.0029 |
Hospital fatality rate | \(\alpha _h\) | 0.2 |
SEIRD infection probability | p | 0.01 |
Collision diameter | d | 1 m |
RL probability of random action | ep | 0.75 |
RL decay factor | dc | 0.99 |
RL transition window | W | 5.5 days |
Number of probability of queue levels | \(\omega\) | 3 |
Levels in probability of queue | \(w_1, w_2, w_3\) | \(0 - 0.33\), \(0.33 - 0.66\), \(0.66 - 1.0\) |