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.

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Document Details

Document Type
Technical Report
Publication Date
Apr 29, 2010
Accession Number
ADA546219

Entities

People

  • Ira B. Schwartz
  • Leah B. Shaw

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Air Force
  • Bacterial Infections
  • Differential Equations
  • Diseases And Disorders
  • Geometry
  • Gram-Negative Bacterial Infections
  • Immunity
  • Infection
  • Infectious Diseases
  • Mean Field Theory
  • Military Research
  • Monte Carlo Method
  • Sexually Transmitted Diseases
  • Social Networks
  • Steady State
  • Universities
  • Vaccination

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Infectious Disease/Epidemiology

Technology Areas

  • Biotechnology