Multilayer and Multiplex Networks: An Introduction to Their Use in Veterinary Epidemiology

Amy C. Kinsley, Gianluigi Rossi, Matthew J. Silk, Kimberly VanderWaal

Research output: Contribution to journalReview articlepeer-review

27 Scopus citations

Abstract

Contact network analysis has become a vital tool for conceptualizing the spread of pathogens in animal populations and is particularly useful for understanding the implications of heterogeneity in contact patterns for transmission. However, the transmission of most pathogens cannot be simplified to a single mode of transmission and, thus, a single definition of contact. In addition, host-pathogen interactions occur in a community context, with many pathogens infecting multiple host species and most hosts being infected by multiple pathogens. Multilayer networks provide a formal framework for researching host-pathogen systems in which multiple types of transmission-relevant interactions, defined as network layers, can be analyzed jointly. Here, we provide an overview of multilayer network analysis and review applications of this novel method to epidemiological research questions. We then demonstrate the use of this technique to analyze heterogeneity in direct and indirect contact patterns amongst swine farms in the United States. When contact among nodes can be defined in multiple ways, a multilayer approach can advance our ability to use networks in epidemiological research by providing an improved approach for defining epidemiologically relevant groups of interacting nodes and changing the way we identify epidemiologically important individuals such as superspreaders.

Original languageEnglish (US)
Article number596
JournalFrontiers in Veterinary Science
Volume7
DOIs
StatePublished - Sep 4 2020

Bibliographical note

Publisher Copyright:
© Copyright © 2020 Kinsley, Rossi, Silk and VanderWaal.

Keywords

  • animal movement
  • infectious disease
  • multilayer networks
  • network analysis
  • pigs
  • transmission

PubMed: MeSH publication types

  • Journal Article
  • Review

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