Compositional modelling of immune response and virus transmission dynamics

Waites, W. and Cavaliere, M. and Danos, V. and Datta, R. and Eggo, R. M. and Hallett, T. B. and Manheim, D. and Panovska-Griffiths, J. and Russell, T. W. and Zarnitsyna, V. I. (2022) Compositional modelling of immune response and virus transmission dynamics. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, 380 (2233). pp. 1-24. 20210307. ISSN 1471-2962 (https://doi.org/10.1098/rsta.2021.0307)

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Abstract

Transmission models for infectious diseases are typically formulated in terms of dynamics between individuals or groups with processes such as disease progression or recovery for each individual captured phenomenologically, without reference to underlying biological processes. Furthermore, the construction of these models is often monolithic: they do not allow one to readily modify the processes involved or include the new ones, or to combine models at different scales. We show how to construct a simple model of immune response to a respiratory virus and a model of transmission using an easily modifiable set of rules allowing further refining and merging the two models together. The immune response model reproduces the expected response curve of PCR testing for COVID-19 and implies a long-tailed distribution of infectiousness reflective of individual heterogeneity. This immune response model, when combined with a transmission model, reproduces the previously reported shift in the population distribution of viral loads along an epidemic trajectory. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'.

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