On simulating strongly interacting, stochastic population models. II. Multiple compartments.

David Wick; Steven G Self

doi:10.1016/j.mbs.2004.04.002

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On simulating strongly interacting, stochastic population models. II. Multiple compartments.

David Wick·Steven G Self

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Abstract

In Wick and Stelf [Math. Biosci. 187 (2004) 1], we showed how to simulate a pair of strongly interacting biological populations evolving stochastically over many orders-of-magnitude. Here we generalize the method to any (finite) number of compartments; transitions including births, deaths, progression through life-stages, and mitoses; and arbitrary rate functions. We illustrate the technique for a seven-compartment model of the cellular immune response to a viral infection.

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Animals Computer Simulation Humans Models, Immunological Population Dynamics Stochastic Processes T-Lymphocytes, Cytotoxic Virus Diseases Journal Article Research Support, U.S. Gov't, P.H.S.

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David Wick, Steven G Self. 2004. On simulating strongly interacting, stochastic population models. II. Multiple compartments.. https://doi.org/10.1016/j.mbs.2004.04.002

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