Analysis of COVID-19 Transmission and Preventative Measures with Susceptible, Exposed, Infectious, and Recovered Model
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This work is supported by National Natural Science Foundation of China (61973296, U1913201), and Shenzhen Science and Technology Innovation Commission Project (JCYJ20170818153635759)

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    Abstract:

    In this paper, an improved susceptible, exposed, infectious, and recovered model has been designed to simulate the complex transmission of Novel Coronavirus Disease 2019 (COVID-19). With the aid of computer simulation, the influence of different preventative measures on epidemic control was analyzed. Comments are put forward based on the analysis for the prevention and control of the epidemic control in the future. The SEIR model is a classical model of virus transmission which has been improved in the paper by adding more parameters such as quarantine and Traditional Chinese Medicine (TCM) intervention measures. With the characteristics of simulating self-replication of living systems, the developed model is applied to simulate the development trend of COVID-19. Furthermore, the key factors affecting the development trend of the disease were considered to discuss the effect on the virus transmission. A simulation model which reflects the transmission, quarantine, and Traditional Chinese Medicine (TCM) intervention measures of COVID-19 has been designed accordingly. The model prediction results have demonstrated that the estimation of quarantine measures and Chinese medicine interventions are basically consistent with the actual situation in the prevention of COVID-19, indicating that quarantine and intervention of Chinese medicine can play a positive role in controlling the epidemic situation.

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HUANG Biyan, LUO Qingsong, ZHOU Yimin. Analysis of COVID-19 Transmission and Preventative Measures with Susceptible, Exposed, Infectious, and Recovered Model[J]. Journal of Integration Technology,2022,11(2):12-27

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  • Received:
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  • Online: March 22,2022
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