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Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern

Fig 2

Schematic diagram of VOCs-INN for model.

is used to fit the state variables of the model (1) (represented by the pink shaded area), while is employed to infer the time-varying parameters (represented by the yellow shaded area). Specifically, and are used to infer and , respectively. denotes the automatic differentiation operator, and the LOSS consists of two components, and . By minimizing the LOSS, simultaneous data fitting and inference of time-varying parameters can be achieved.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1012778.g002