title: Enhanced vaccine control of epidemics 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 feedback interaction between the adaptive network rewiring and the vaccine application. When compared to extinction rates in static social networks, we find that the amount of vaccine resources required to sustain similar rates of extinction are as much as two orders of magnitude lower in adaptive networks.
authors.affiliation: Department of Applied Science, College of William and Mary, Williamsburg, Virginia 23187, USA.
authors.forename: Leah B
authors.initials: LB
authors.lastname: Shaw
authors.forename: Ira B
authors.initials: IB
authors.lastname: Schwartz
mesh_terms: D000222:Adaptation, Physiological; D004196:Disease Outbreaks / Q000517:prevention & control* / Q000706:statistics & numerical data; D019353:Endemic Diseases / Q000517:prevention & control; D007239:Infections / Q000453:epidemiology / Q000276:immunology / Q000635:transmission; D019344:Lactic Acid; D009010:Monte Carlo Method; D014611:Vaccination
chemical_list: C006756:biolactin; D019344:Lactic Acid