Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
J Theor Biol. 2013 Sep 7;332:267-90. doi: 10.1016/j.jtbi.2013.03.024. Epub 2013 Apr 19.
Aided by recent advances in computational power, algorithms, and higher fidelity data, increasingly detailed theoretical models of infection with influenza A virus are being developed. We review single scale models as they describe influenza infection from intracellular to global scales, and, in particular, we consider those models that capture details specific to influenza and can be used to link different scales. We discuss the few multiscale models of influenza infection that have been developed in this emerging field. In addition to discussing modeling approaches, we also survey biological data on influenza infection and transmission that is relevant for constructing influenza infection models. We envision that, in the future, multiscale models that capitalize on technical advances in experimental biology and high performance computing could be used to describe the large spatial scale epidemiology of influenza infection, evolution of the virus, and transmission between hosts more accurately.
借助于最近在计算能力、算法和更高保真度数据方面的进步,越来越详细的甲型流感病毒感染理论模型正在被开发出来。我们回顾了单一尺度模型,因为它们描述了从细胞内到全球尺度的流感感染,特别是我们考虑了那些能够捕捉到流感特异性细节并可用于连接不同尺度的模型。我们讨论了在这一新兴领域中已经开发的少数几个流感感染的多尺度模型。除了讨论建模方法之外,我们还调查了与构建流感感染模型相关的流感感染和传播的生物学数据。我们设想,在未来,利用实验生物学和高性能计算方面的技术进步的多尺度模型可以更准确地描述流感感染的大空间尺度流行病学、病毒的进化以及宿主之间的传播。