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dc.contributor.authorBarbour, AD
dc.contributor.authorLuczak, MJ
dc.identifier.citationBarbour, A. D., and M. J. Luczak. "Individual And Patch Behaviour In Structured Metapopulation Models." Journal of Mathematical Biology 71.3 (2014): 713-733. Web. 15 Dec. 2017.en_US
dc.description.abstractDensity dependent Markov population processes with countably many types can often be well approximated over finite time intervals by the solution of the differential equations that describe their average drift, provided that the total population size is large. They also exhibit diffusive stochastic fluctuations on a smaller scale about this deterministic path. Here, it is shown that the individuals in such processes experience an almost deterministic environment. Small groups of individuals behave almost independently of one another, evolving as Markov jump processes, whose transition rates are prescribed functions of time. In the context of metapopulation models, we show that 'individuals' can represent either patches or the individuals that migrate among the patches; in host-parasite systems, they can represent both hosts and parasites.
dc.format.extent713 - 733
dc.relation.ispartofJ Math Biol
dc.subjectComputer Simulation
dc.subjectHost-Pathogen Interactions
dc.subjectMarkov Chains
dc.subjectMathematical Concepts
dc.subjectModels, Biological
dc.subjectPopulation Density
dc.subjectPopulation Dynamics
dc.subjectStochastic Processes
dc.titleIndividual and patch behaviour in structured metapopulation models.en_US
dc.rights.holder© Springer-Verlag Berlin Heidelberg 2014
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Mathematical Sciences - Staff and Research Students

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