Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/87168
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Type: Journal article
Title: A hybrid model for studying spatial aspects of infectious diseases
Author: Binder, B.
Ross, J.
Simpson, M.
Citation: Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal, 2012; 54(1-2):37-49
Publisher: Australian Mathematical Society
Issue Date: 2012
ISSN: 1446-1811
1446-8735
Statement of
Responsibility: 
Benjamin J. Binder, Joshua V. Ross and Matthew J. Simpson
Abstract: We consider a hybrid model, created by coupling a continuum and an agent-based model of infectious disease. The framework of the hybrid model provides a mechanism to study the spread of infection at both the individual and population levels. This approach captures the stochastic spatial heterogeneity at the individual level, which is directly related to deterministic population level properties. This facilitates the study of spatial aspects of the epidemic process. A spatial analysis, involving counting the number of infectious agents in equally sized bins, reveals when the spatial domain is nonhomogeneous.
Keywords: Agent-based model; continuum model; infectious diseases; spatial heterogeneity
Rights: ©2013 Australian Mathematical Society
DOI: 10.1017/S1446181112000296
Grant ID: http://purl.org/au-research/grants/arc/DP110102893
Published version: http://dx.doi.org/10.1017/s1446181112000296
Appears in Collections:Aurora harvest 7
Mathematical Sciences publications

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