ReviewFrontiers in veterinary science2020
Multilayer and Multiplex Networks: An Introduction to Their Use in Veterinary Epidemiology.
Review in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 65 citations in OpenAlex.
- Mobility Network Analysis of the Poultry Sector in Morocco: A Tool for the Surveillance and Prevention of Highly Pathogenic Avian Influenza.Veterinary sciences · 2026Article
- Global Distribution and Dispersal Pathways of Riparian Invasives: Perspectives Using Alligator Weed (Plants (Basel, Switzerland) · 2026Review
- Edge-based modelling for disease transmission on random graphs: an application to mitigate a syphilis outbreak.Royal Society open science · 2025Article
- Bioinformatic challenges for pharmacogenomic study: tools for genomic data analysis.Frontiers in pharmacology · 2025Article
- Article
- Bridging the Gap: Integrating Knowledge from the Study of Social Network Analysis and Infectious Disease Dynamics in Human and Nonhuman Primates.Annual review of anthropology · 2024Article
- Current and future directions in network biology.Bioinformatics advances · 2024Article
- Analysis of the swine movement network in Mexico: A perspective for disease prevention and control.PloS one · 2024Article
- The multilayer semantic network structure of community tensions.Frontiers in research metrics and analytics · 2024Article
- An Exploratory Application of Multilayer Networks and Pathway Analysis in Pharmacogenomics.Genes · 2023Article
- Identifying Significantly Perturbed Subnetworks in Cancer Using Multiple Protein-Protein Interaction Networks.Cancers · 2023Article
- Multilayer Networks Assisting to Untangle Direct and Indirect Pathogen Transmission in Bats.Microbial ecology · 2023Article
- The Structural Role of Smart Contracts and Exchanges in the Centralisation of Ethereum-Based Cryptoassets.Entropy (Basel, Switzerland) · 2022Article
- Complex network analysis to understand trading partnership in French swine production.PloS one · 2022Article
- Multilayer Network Approach in EEG Motor Imagery with an Adaptive Threshold.Sensors (Basel, Switzerland) · 2021Article
- Network-Based Approaches Reveal Potential Therapeutic Targets for Host-Directed Antileishmanial Therapy Driving Drug Repurposing.Microbiology spectrum · 2021Article
- Simulating human behavioral changes in livestock production systems during an epidemic: The case of the US beef cattle industry.PloS one · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.