Sigmoidal Growth Models

Sigmoidal growth models constitute an important class of phenomenological forecasting tools in mathematical epidemiology, designed to project the propagation and temporal trajectory of infectious populations during epidemic outbreaks. Unlike classical compartmental models, these approaches are primarily statistical rather than mechanistic. They capture the characteristic S-shaped epidemic curve, describing how case counts evolve from an initial … Read more