Category: Epidemiology

Summary: Testing whether delayed mitigation with controller fatigue creates an optimal response window in a coupled epidemic and infrastructure-cascade system.

Epidemic burden and infrastructure stress can reinforce one another, especially when mitigation depends on controllers that respond late and wear down over time. This experiment asks whether that coupling creates a reentrant delay window in which the combined epidemic and cascade burden is minimized.

The model links SIS-like transmission to an infrastructure cascade process and lets adaptive mitigation arrive with delay while suffering fatigue. By sweeping that delay, it tests whether moderate response times can outperform both very fast and very slow control once fatigue is taken seriously.

That framing turns epidemic control into a coupled-dynamics timing problem. The result is meant to identify whether the best intervention timing comes from balancing responsiveness against fatigue-driven loss of control effectiveness.

Method: Coupled SIS and infrastructure-cascade simulations sweeping adaptive-mitigation delay under explicit controller-fatigue dynamics.

What is measured: Joint epidemic and cascade burden, optimal delay window, mitigation activity, fatigue effects, and reentrant response behavior.