Once they're in, I think we'll need to track the number of people each infected individual infects so that we can reconstruct the offspring distribution at the end of each run and compare to empirical distributions (think there are a few for COVID-19 we could draw on).
Build in model functionality to produce overdispersion in the offspring distribution.
This will arise I think from two distinct sources (documented in separate issues). Variation in individual-level infectiousness (https://github.com/mrc-ide/helios/issues/87) and variation in setting-specific transmissibility/riskiness (https://github.com/mrc-ide/helios/issues/88) - both important and will require some thinking through.
Once they're in, I think we'll need to track the number of people each infected individual infects so that we can reconstruct the offspring distribution at the end of each run and compare to empirical distributions (think there are a few for COVID-19 we could draw on).