  The spread of an infectious disease is known to change people's behavior,
which in turn affects the spread of disease. Adaptive network models that
account for both epidemic and behavior change have found oscillations, but in
an extremely narrow region of the parameter space, which contrasts with
intuition and available data. In this paper we propose a simple SIS epidemic
model on an adaptive network with time-delayed rewiring, and show that
oscillatory solutions are now present in a wide region of the parameter space.
Altering the transmission or rewiring rates reveals the presence of an endemic
bubble - an enclosed region of the parameter space where oscillations are
observed.
