Connecting the criterions up

[I-Bouros]

Desired sample size N is a hyper parameter of the method, along with all the other rejection criterions, which we apply in the following order

In order:

1. Stratify N by age-groups and regions: N_{a, r}, where a is age-group index and r is region / cell index.
2. Rate of non-responders: N_{a, r} -> \phi * N_{a, r} (can be N_{a, r} -> \phi_{a} * N_{a, r} if \phi is age-dependent)
3. Variant effect on False negative \nu: N_{a, r} -> \nu * N_{a, r}
4. Effect of infectiousness profile
5. Household limit criterion; reject until criterion met, using rejection sampling on the individual IDs using their demographic data.
6. Apply same sample vs different sample at each timestep:

• If same, only run other criterion once (we get all infectious statuses)
• If different, retrieve infectious statuses at that timepoints, sample using 1-5 again and get the new infectious statuses and repeat.