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 | \(w_1, w_2, w_3\) | \(0 - 0.33\), \(0.33 - 0.66\), \(0.66 - 1.0\) |