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Title: Modelling disease spread in dispersal networks at two levels
Authors: Xiao, Yanni
Zhou, Yicang
Tang, Sanyi
Keywords: NETWORKS
Issue Date: 2010
Citation: Xiao, Y., Zhou, Y., & Tang, S. (2010). Modelling disease spread in dispersal networks at two levels. Mathematical Medicine and Biology, 28 (3): 227-244. doi: 10.1093/imammb/dqq007
Abstract: A network model at both the population and individual levels, which simulates both between-patch and within-patch dynamics, is proposed. We investigated the effects of dispersal networks and distribution of local dynamics on the outcome of an epidemic at the population level. Numerical studies show that disease control on random networks may be easier than on small-world networks, depending on the initial distribution of the local dynamics. Spatially separating instead of gathering patches where disease locally persists is beneficial to global disease control if dispersal networks are a type of small-world networks. Dispersal networks with higher degree lead to a higher mean value of R0. Furthermore, irregularity of network and randomization are beneficial to disease stabilization and greatly affect the resulting global dynamics.
ISSN: 1477-8602
Project Number: 104519
Project Title: International Research Chairs Initiative (IRCI)
Document Delivery: This document is not available in the IDRC Digital Library / Ce document n'est pas disponible dans la Bibliothèque numérique du CRDI
Appears in Collections:IDRC Research Results / Résultats de recherches du CRDI
Modelling and controlling infectious diseases / Se servir de la modélisation pour lutter contre les maladies infectieuses
2010-2019 / Années 2010-2019

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