Analysis for the spread of COVID-19 in China based on the impulsive partial differential equation with diffusion

Wenfeng Wang; Liang Ge

doi:10.1117/12.2627480

22 April 2022 Analysis for the spread of COVID-19 in China based on the impulsive partial differential equation with diffusion

Wenfeng Wang, Liang Ge

Author Affiliations +

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121633E (2022) https://doi.org/10.1117/12.2627480
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

At the beginning of 2020, COVID-19 broke out in Wuhan and quickly swept the world. At present, the global epidemic prevention and control is still facing severe challenges. Scientific and effective measures of the epidemic is crucial to epidemic prevention and control. In this paper, a COVID-19 diffusion prediction model is established based on the impulsive partial differential equation and traditional infectious disease model, which can describe the spatial diffusion of viruses. This is also a lack of other models. The model divides the total population into seven groups: susceptible, quarantine, exposed, asymptomatic, infected, diagnosed and recovered, while considering the influence of time and space on the spread of the virus. In order to test the model, we take Jiangsu Province in China as an example, compare the calculated results with the actual data, and verify the effectiveness of the model through numerical calculation.

Citation Download Citation

Wenfeng Wang and Liang Ge "Analysis for the spread of COVID-19 in China based on the impulsive partial differential equation with diffusion", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121633E (22 April 2022); https://doi.org/10.1117/12.2627480

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