Simulation analysis of COVID-19 epidemic model in Wuhan based on SIR model

Lisha Yao; Simeng Jia; Ziqing Dai

doi:10.1117/12.2673348

3 April 2023 Simulation analysis of COVID-19 epidemic model in Wuhan based on SIR model

Lisha Yao, Simeng Jia, Ziqing Dai

Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 1259917 (2023) https://doi.org/10.1117/12.2673348
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China

Abstract

Based on SIR model, combined with the mode of COVID-19 epidemic spread in Wuhan, the SIR model of COVID-19 epidemic spread is constructed, which mainly includes three aspects: simulation of the average number of infected people in COVID-19, simulation of cross-infection in COVID-19 and simulation of contact infection in COVID-19. Using the results of these three simulations, we can predict the spread of COVID-19 epidemic in the region, and find out the methods to prevent and control the outbreak or spread of the epidemic.

Citation Download Citation

Lisha Yao, Simeng Jia, and Ziqing Dai "Simulation analysis of COVID-19 epidemic model in Wuhan based on SIR model", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 1259917 (3 April 2023); https://doi.org/10.1117/12.2673348

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