Epidemic Percolation Networks, Epidemic Outcomes, and Interventions

Journal Article · Fri Dec 31 19:00:00 EST 2010 · Interdisciplinary Perspectives on Infectious Diseases

DOI: https://doi.org/10.1155/2011/543520 · OSTI ID:1197940

Kenah, Eben ^[1]; Miller, Joel C. ^[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

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.

• Research Organization: Univ. of Washington, Seattle, WA (United States)
• Sponsoring Organization: National Institutes of Health; USDOE; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
• OSTI ID: 1197940
• Journal Information: Interdisciplinary Perspectives on Infectious Diseases, Journal Name: Interdisciplinary Perspectives on Infectious Diseases Vol. 2011; ISSN 1687-708X
• Publisher: Hindawi Publishing CorporationCopyright Statement
• Country of Publication: Country unknown/Code not available
• Language: English