Source Detection

Dynamic Network Models are a central class of tools in mathematical epidemiology for studying infectious disease spread in populations characterized by heterogeneous and time-varying contact patterns. Unlike classical compartmental models that assume homogeneous mixing, these models explicitly represent individuals and their evolving interactions, making them particularly effective for identifying the source of an epidemic and … Read more