Information on pathogen diversity can be used to investigate transmission dynamics and predict intervention outcomes. The resolution at which the pathogens can be identified determines the utility of such data in models. However, models can quickly become complicated if every variant has to be explicitly modelled. In this seminar, the speaker will present past and ongoing work looking at how the addition of genetic data improved model inference in two different settings.