A detailed motivation, definition and construction of this model type and its various advantages are discussed in [ 6 ]—here, we limit ourselves to highlighting the role of including crucial spatial mechanisms: unlike other classical models such as the ODE (ordinary differential equations) approach, the present system is defined in both space and time, and consequently, it is able to capture highly significant—and in nature inherently spatial—physical phenomena such as virus diffusion.
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In Silico Evaluation of Paxlovid's Pharmacometrics for SARS-CoV-2: A Multiscale Approach.
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