Dynamical Model for Virus Spread

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dc.creatorCamelo-Neto, G.
dc.creatorCoutinho, S.
dc.date1995-11-29
dc.date1995-12-01
dc.date.accessioned2026-07-07T08:57:38Z
dc.date.available2026-07-07T08:57:38Z
dc.descriptionThe steady state properties of the mean density population of infected cells in a viral spread is simulated by a general forest fire like cellular automaton model with two distinct populations of cells ( permissive and resistant ones) and studied in the framework of the mean field approximation. Stochastic dynamical ingredients are introduced in this model to mimic cells regeneration (with probability {\it p}) and to consider infection processes by other means than contiguity (with probability {\it f}). Simulations are carried on a $L \times L$ square lattice considering the eigth first neighbors. The mean density population of infected cells ($D_i$) is measured as function of the regeneration probability {\it p}, and analized for small values of the ratio {\it f/p } and for distinct degrees of the cell resistance. The results obtained by a mean field like approach recovers the simulations results. The role of the resistant parameter $R$ ($R \geq 2)$ on the steady state properties is investigated and discussed in comparision with the $R=1$ monocell case which corresponds to the {\em self organized critical} forest fire model. The fractal dimension of the dead cells ulcers contours were also estimated and analised as function of the model parameters.
dc.description6 pages, revTex file, 8 figures in postscript format, figures may be also sent upon request to gustavo@lftc.ufpe.br
dc.identifierhttps://arxiv.org/abs/adap-org/9511004
dc.identifierhttp://arxiv.org/abs/adap-org/9511004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/147041
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectCondensed Matter
dc.subjectQuantitative Biology
dc.titleDynamical Model for Virus Spread
dc.typetext

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