Choice of spatial discretisation influences the progression of viral infection within multicellular tissues

TL;DR

This paper investigates how the choice of spatial discretisation in multicellular viral spread models affects the accuracy and behavior of simulations, especially at low diffusion rates, highlighting the importance of discretisation choices.

Contribution

It demonstrates that discretisation choices can significantly influence model outcomes and provides insights into optimal design considerations for multicellular viral dynamics models.

Findings

Discretisation impacts model outputs at low diffusion rates.

Finer discretisation can lead to more accurate simulations.

Qualitative changes in behavior can occur due to discretisation choices.

Abstract

There has been an increasing recognition of the utility of models of the spatial dynamics of viral spread within tissues. Multicellular models, where cells are represented as discrete regions of space coupled to a virus density surface, are a popular approach to capture these dynamics. Conventionally, such models are simulated by discretising the viral surface and depending on the rate of viral diffusion and other considerations, a finer or coarser discretisation may be used. The impact that this choice may have on the behaviour of the system has not been studied. Here we demonstrate that, if rates of viral diffusion are small, then the choice of spatial discretisation of the viral surface can have quantitative and even qualitative influence on model outputs. We investigate in detail the mechanisms driving these phenomena and discuss the constraints on the design and implementation of multicellular viral dynamics models for different parameter configurations.