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Title: Modelling disease spread in dispersal networks at two levels
Authors: Xiao, Yanni
Zhou, Yicang
Tang, Sanyi
Keywords: NETWORKS
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)
Copyright: Xiao et al.
Access Restriction: Due to copyright restrictions the full text of this research output is not available in the IDRC Digital Library or by request from the IDRC Library. / Compte tenu des restrictions relatives au droit d`auteur, le texte intégral de cet extrant de recherche n`est pas accessible dans la Bibliothèque numérique du CRDI, et il n`est pas possible d`en faire la demande à la Bibliothèque du CRDI.
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