Journal of System Simulation
Abstract
Abstract: With the spread of the novel coronavirus pneumonia around the world, the data and transmission mechanism are analyzed. The SEIiRD model is constructed based on the existing SEIRD model, and the infected population is divided into asymptomatic infections, mild infections, severe infections and critical infections. The impact of the transmission rate of different infected people on the development of the epidemic was analyzed. Simulation experiments were carried out on the basis of fitting real data, and it was found that the main infected populations that affected the discovery of the epidemic were asymptomatic and mildly infected. On this basis, the transmission rate of different asymptomatic and mildly infected people was further analyzed. The impact of different intervention times on the number of infections and deaths was simulated. Results show that the model can effectively simulate the spread of COVID-19 and provide decision-making support to the departments to implement corresponding epidemic prevention and control strategies.
Recommended Citation
Wang, Jing and Dong, Ying
(2022)
"Simulation Research on COVID-19 Transmission and Control Measures Based on SEIiRD Model,"
Journal of System Simulation: Vol. 34:
Iss.
7, Article 15.
DOI: 10.16182/j.issn1004731x.joss.21-0912
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss7/15
First Page
1532
Revised Date
2021-12-21
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0912
Last Page
1546
CLC
TP391.9
Recommended Citation
Jing Wang, Ying Dong. Simulation Research on COVID-19 Transmission and Control Measures Based on SEIiRD Model[J]. Journal of System Simulation, 2022, 34(7): 1532-1546.
DOI
10.16182/j.issn1004731x.joss.21-0912
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