|
Algorithm 1 The pseudo model algorithm |
| #constants shared between scenarios |
| K = 10 |
|
| #constants within scenario |
| SIM (number of simulation) |
| Deep (number of days to be simulated) |
| NTW (Commuting network: weighted links among municipalities of the corresponding scenario) |
| I (number of officially infected) |
|
| For each simulation |
| Sample infected according to scenario |
| For each day |
| If during weekend, switch the correspondence between active period and population |
| For each sub-day period |
| For each infected municipality
|
| find new infected according to ODE equations |
| End |