Predictive model could help track deadly viruses back to their source

A new predictive model developed at Washington State University could help scientists more efficiently identify the reservoirs of emerging zoonotic viruses and dangerous pathogens like Ebola that can spill over from animals into humans. Confirming a reservoir species is critical to understanding and preventing those spillovers, but it requires detecting live virus in an actively infected animal. That can be a significant challenge, as infections are often rare, short-lived, and fluctuate seasonally, reaching detectable levels only during brief windows each year.