Individual-level outcomes simulated from a basic susceptible-infected-recovered (SIR) model for 500 households. Everyone starts susceptible, the daily extra-household infection probability is 1%, and the daily intra-household infection probability is 5%. Each individual has two binary observations: one informative about active infection (e.g. a PCR test) and one informative about recovery (e.g. an IgG antibody test).
Format
A data frame with one row per individual per day and the following columns:
- t
Day of observation.
- part_id
Participant identifier within the household.
- enroll
Enrollment indicator (1 = enrolled, 0 = not enrolled).
- state
True latent compartment (1 = S, 2 = I, 3 = R).
- hh_size
Household size.
- hh_id
Household identifier.
- pcr
Binary outcome informative about active infection.
- igg
Binary outcome informative about recovery.