Phylogenetic-informed graph deep learning to classify dynamic transmission clusters in infectious disease epidemics
Molecular epidemiology has become increasingly standard in pathogen outbreak surveillance and modeling of epidemic spread. Owing to short generation times and/or infidelity of pathogen replication machinery, the accumulation of mutations in viruses and bacteria is relatively rapid (compared to eukaryotes), occurring on a similar timescale as epidemiological processes.