A Simple Cellular Automaton Model for Influenza A Viral Infections

Abstract

Viral kinetics have been extensively studied in the past through the use of spatially homogeneous ordinary differential equations describing the time evolution of the diseased state. However, spatial characteristics such as localized populations of dead cells might adversely affect the spread of infection, similar to the manner in which a counter-fire can stop a forest fire from spreading. In order to investigate the influence of spatial heterogeneities on viral spread, a simple 2-D cellular automaton (CA) model of a viral infection has been developed. In this initial phase of the investigation, the CA model is validated against clinical immunological data for uncomplicated influenza A infections. Our results will be shown and discussed.

LaTeX, 12 pages, 18 EPS figures, uses document class ReTeX4, and packages amsmath and SIunits

References in corpus (2)

• On the Dynamics of the Evolution of the HIV Infection
• Immunization and Aging: a Learning Process in the Immune Network

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