Study identifies that the sequence of previous diseases may help predict the risk of long COVID
Provides a new perspective: what matters is not only which previous diseases a person has, but also the order in which they appeared and how they interact. This approach makes it possible to identify risk profiles for long COVID that had not been detected until now. The research was conducted within the framework of the COVICAT study, coordinated in collaboration with ISGlobal.