Social Isolation¶
The social restrictions called social isolation and lockdown work by placing a certain percentage of the population at their homes along the day. While the social isolation, when turned on, applies to everyday in the simulation, the lockdown measure may be applied only during a certain period of time. The social isolation measure may be inferred from mobile data, and it is usually very precise. In this sense the social isolation is important in the parameters calibration stage. The lockdown measure, on the other hand, may be considered as a possible decision to be taken in the face of the current reality of the community. Therefore it is more important in the decision stage.
The social isolation is similar to the quarantine measure in the sense that it places particles at home. However, it is more flexible in the sense that not always the same particles are placed at home. Particles already in quarantine, and particles in the first age group that are not quarantined at hospitals are always placed at home, however. The remaining "quarantine free" particles are chosen randomly to compose a certain percentage of the population that is to follow social isolation.
Related parameters¶
| Parameter | Type | Description | Default Value |
|---|---|---|---|
social_isolation |
bool |
Enables social isolation mechanics. | False |
isol_pct_time_series |
np.array |
Day-dependent percentage of population that follows social isolation. | [.3]*number_of_days |
isol_stay_prob |
np.array |
Probability p that particles already in social isolation in a day remain in social isolation in the next day. The probability that particles not in social isolation follow social isolation is therefore 1-p. Notice that even if p=0, the particles in the first age group are still isolated at home. In fact, it may happen that the actual percentage of the population being isolated is larger than the one provided because of this fact. However, if p<0, then no social isolation measure is applied. Quarantined particles are still isolated at the respective quarantine places. |
[.3]*number_of_days |