Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection.

ABSTRACT:

Background

The biophysics of an organism span multiple scales from subcellular to organismal and include processes characterized by spatial properties, such as the diffusion of molecules, cell migration, and flow of intravenous fluids. Mathematical biology seeks to explain biophysical processes in mathematical terms at, and across, all relevant spatial and temporal scales, through the generation of representative models. While non-spatial, ordinary differential equation (ODE) models are often used and readily calibrated to experimental data, they do not explicitly represent the spatial and stochastic features of a biological system, limiting their insights and applications. However, spatial models describing biological systems with spatial information are mathematically complex and

SUBMITTER: Sego TJ 

PROVIDER: S-EPMC8424622 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature