A hybrid model for studying spatial aspects of infectious diseases

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dc.contributor.authorBinder, B.
dc.contributor.authorRoss, J.
dc.contributor.authorSimpson, M.
dc.date.issued2012
dc.description.abstractWe 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.
dc.description.statementofresponsibilityBenjamin J. Binder, Joshua V. Ross and Matthew J. Simpson
dc.identifier.citationAustralia and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal, 2012; 54(1-2):37-49
dc.identifier.doi10.1017/S1446181112000296
dc.identifier.issn1446-1811
dc.identifier.issn1446-8735
dc.identifier.orcidBinder, B. [0000-0002-1812-6715]
dc.identifier.orcidRoss, J. [0000-0002-9918-8167]
dc.identifier.urihttp://hdl.handle.net/2440/87168
dc.language.isoen
dc.publisherAustralian Mathematical Society
dc.relation.granthttp://purl.org/au-research/grants/arc/DP110102893
dc.rights©2013 Australian Mathematical Society
dc.source.urihttps://doi.org/10.1017/s1446181112000296
dc.subjectAgent-based model; continuum model; infectious diseases; spatial heterogeneity
dc.titleA hybrid model for studying spatial aspects of infectious diseases
dc.typeJournal article
pubs.publication-statusPublished

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