Rival approaches to mathematical modelling in immunology

Authors:
Sarah M. Andrew;Christopher T. H. Baker;Gennady A. Bocharov
Affiliations:
School of Applied and Health Sciences, University of Chester, CH1 4BJ, UK;Mathematics Department, University of Chester, CH1 4BJ, UK and School of Mathematics, The University of Manchester, UK;Mathematics Department, University of Chester, CH1 4BJ, UK and School of Mathematics, The University of Manchester, UK and Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, ...
Venue:
Journal of Computational and Applied Mathematics
Year:
2007

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Abstract

In order to formulate quantitatively correct mathematical models of the immune system, one requires an understanding of immune processes and familiarity with a range of mathematical techniques. Selection of an appropriate model requires a number of decisions to be made, including a choice of the modelling objectives, strategies and techniques and the types of model considered as candidate models. The authors adopt a multidisciplinary perspective.