Enhanced vaccine control of epidemics in adaptive networks

TL;DR

This paper demonstrates that adaptive networks significantly enhance vaccine control effectiveness against epidemics by leveraging network rewiring, requiring substantially less vaccine application for disease extinction compared to static networks.

Contribution

It introduces a model of vaccine control on adaptive networks and shows the superior effectiveness of vaccination due to network rewiring interactions.

Findings

Vaccine control is more effective in adaptive networks.

Fewer vaccines are needed to eradicate disease in adaptive networks.

Disease extinction rates are higher in adaptive networks.

Abstract

We study vaccine control for disease spread on an adaptive network modeling disease avoidance behavior. Control is implemented by adding Poisson distributed vaccination of susceptibles. We show that vaccine control is much more effective in adaptive networks than in static networks due to an interaction between the adaptive network rewiring and the vaccine application. Disease extinction rates using vaccination are computed, and orders of magnitude less vaccine application is needed to drive the disease to extinction in an adaptive network than in a static one.