Modelling Health and Environmental Linkages Research Group (MHELRG), Department of Mathematics and Applied Mathematics, University of Venda, Thohoyandou, South Africa.
PLoS Comput Biol. 2020 Apr 2;16(4):e1007734. doi: 10.1371/journal.pcbi.1007734. eCollection 2020 Apr.
Multiscale modelling of infectious disease systems falls within the domain of complexity science-the study of complex systems. However, what should be made clear is that current progress in multiscale modelling of infectious disease dynamics is still as yet insufficient to present it as a mature sub-discipline of complexity science. In this article we present a methodology for development of multiscale models of infectious disease systems. This methodology is a set of partially ordered research and development activities that result in multiscale models of infectious disease systems built from different scientific approaches. Therefore, the conclusive result of this article is a methodology to design multiscale models of infectious diseases. Although this research and development process for multiscale models cannot be claimed to be unique and final, it constitutes a good starting point, which may be found useful as a basis for further refinement in the discourse for multiscale modelling of infectious disease dynamics.
传染病系统的多尺度建模属于复杂性科学的范畴，即对复杂系统的研究。然而，应该明确的是，目前传染病动力学的多尺度建模的进展仍然不足以将其作为复杂性科学的一个成熟分支来呈现。在本文中，我们提出了一种用于开发传染病系统多尺度模型的方法。该方法是一组部分有序的研究和开发活动，这些活动导致了由不同科学方法构建的传染病系统的多尺度模型。因此，本文的结论是一种设计传染病多尺度模型的方法。虽然这种多尺度模型的研究和开发过程不能被认为是独一无二的和最终的，但它构成了一个很好的起点，可能会被发现作为进一步完善传染病动力学多尺度建模讨论的有用基础。
