individual-based lattice model for spatial spread of epidemics

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ID: 139866
2001
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Abstract
We present a lattice gas cellular automaton (LGCA) to study spatial and temporal dynamics of an epidemic of SIR (susceptible-infected-removed) type. The automaton is fully discrete, i.e., space, time and number of individuals are discrete variables. The automaton can be applied to study spread of epidemics in both human and animal populations. We investigate effects of spatial inhomogeneities in initial distribution of infected and vaccinated populations on the dynamics of epidemic of SIR type. We discuss vaccination strategies which differ only in spatial distribution of vaccinated individuals. Also, we derive an approximate, mean-field type description of the automaton, and discuss differences between the mean-field dynamics and the results ofLGCA simulation.
Reference Key
fuks2001discreteindividual-based Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Henryk Fuks;Anna T. Lawniczak
Journal Journal of the American Heart Association
Year 2001
DOI
10.1155/S1026022601000206
URL
http://dx.doi.org/10.1155/S1026022601000206
Keywords
mathematics lattice gas cellular automata; modelling of epidemics of infectious diseases; vaccination strategies; spatio-temporal dynamics of epidemics

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