Simulation and application of COVID-19 compartment model using physic-informed neural network

• URL: http://arxiv.org/abs/2208.02433v1
• Date: Thu, 4 Aug 2022 03:59:37 GMT
• Title: Simulation and application of COVID-19 compartment model using physic-informed neural network
• Authors: Jinhuan Ke, Jiahao Ma, Xiyu Yin
• Abstract summary: We implement the Physic-Informed Neural Network on both simulation and real-world data. Results include the spread and forecasting analysis of COVID-19 learned from the neural network.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this work, SVEIDR model and its variants (Aged, Vaccination-structured models) are introduced to encode the effect of social contact for different age groups and vaccination status. Then we implement the Physic-Informed Neural Network on both simulation and real-world data. Results including the spread and forecasting analysis of COVID-19 learned from the neural network are shown in the paper.

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