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Evaluation and prediction of the status of COVID-19 epidemic prevention and control based on the SEIR+CAQ model

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摘要 This paper analyzes the spread of the COVID-19 epidemic in China,establishes a SEIR^(+CAQ)epidemiologic model that classifies the diagnosed population into asymptomatic,mild,and severe,and considers the condition of an isolated population.First of all,we theoretically analyzed the key problems of the disease-free equilibrium,stability,and basic reproduction number of the model.Then,combined with the actual data,the development trend of the epidemic situation is simulated and compared,and the influence of some important parameters is discussed in the model evaluation part.Finally,based on the theoretical analysis and numerical simulation results,we forecast the future development of the COVID-19 epidemic and put forward some reasonable scientific suggestions for the government to formulate a future epidemic prevention policy.
出处 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2021年第3期183-211,共29页 建模、仿真和科学计算国际期刊(英文)
基金 This work is supported by the National College Students’s Innovation and Entrepreneurship Training Program(S202010619021) School of Science College Student Innovation Fund Project of Southwest University of Science and Tech-nology Application Basic Project of Sichuan Science and Technology Department(2017JY0336) Longshan Academic Talent Research Support Program of Southwest University of Science and Technology(17LZX670,18LZX622).
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