论文标题
空间离散化的选择会影响多细胞组织中病毒感染的进展
Choice of spatial discretisation influences the progression of viral infection within multicellular tissues
论文作者
论文摘要
人们对组织内病毒传播的空间动力学模型的实用性越来越多。多细胞模型，其中细胞表示为耦合病毒密度表面的空间离散区域，是捕获这些动力学的流行方法。通常，通过离散的病毒表面来模拟此类模型，并根据病毒扩散的速率和其他考虑，可以使用更精确或更粗的离散化。尚未研究此选择对系统行为的影响。在这里，我们证明，如果病毒扩散率很小，那么病毒表面的空间离散化的选择可能会对模型输出产生定量甚至定性的影响。我们详细研究了驱动这些现象的机制，并讨论了针对不同参数配置的多细胞病毒动力学模型的设计和实施的约束。
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.
