Thank you for that question. That's a fascinating question. In fact, there is data as of last week for this, so this is very timely.
My colleague, Dr. Raina Plowright at Cornell, just published a 25-year longitudinal study identifying factors that directly impact pathogen shedding from wildlife species such as bats. It identified migration patterns and nutrition deficiencies in wildlife that trigger pathogen spillover from these animals.
I think that, yes, modelling could predict this, but zoonotic transmissions are very nimble events. They are very rare events. A whole bunch of stuff has to align for the perfect storm for a pathogen to make it into humans. Again, there's a whole body of studies that look at how successful transmission events happen from animals into humans.
Yes, I think data-driven modelling is certainly a good place to start. You can imagine the diversity of mammals on this planet. Where would you sample and what would you prioritize? I think having that surveillance and having that modelling to estimate certain focus points for sampling and monitoring would be a very good place to start.