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Title: Epidemic Percolation Networks, Epidemic Outcomes, and Interventions

Epidemic percolation networks (EPNs) are directed random networks that can be used to analyze stochastic “Susceptible-Infectious-Removed” (SIR) and “Susceptible-Exposed-Infectious-Removed” (SEIR) epidemic models, unifying and generalizing previous uses of networks and branching processes to analyze mass-action and network-based S(E)IR models. This paper explains the fundamental concepts underlying the definition and use of EPNs, using them to build intuition about the final outcomes of epidemics. We then show how EPNs provide a novel and useful perspective on the design of vaccination strategies.
Authors:
 [1] ;  [2]
  1. Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA 98195-7232, USA
  2. Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA, Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA
Publication Date:
OSTI Identifier:
1197940
Grant/Contract Number:
AC52-06NA25397; U54GM088558
Type:
Published Article
Journal Name:
Interdisciplinary Perspectives on Infectious Diseases
Additional Journal Information:
Journal Volume: 2011; Related Information: CHORUS Timestamp: 2016-08-04 11:21:13; Journal ID: ISSN 1687-708X
Publisher:
Hindawi Publishing Corporation
Sponsoring Org:
USDOE
Country of Publication:
Country unknown/Code not available
Language:
English