Stability and optimal control strategies for a novel epidemic model of COVID-19.
Nonlinear Dyn
; 106(2): 1491-1507, 2021.
Article
in English
| MEDLINE | ID: covidwho-1244617
ABSTRACT
In this paper, a novel two-stage epidemic model with a dynamic control strategy is proposed to describe the spread of Corona Virus Disease 2019 (COVID-19) in China. Combined with local epidemic control policies, an epidemic model with a traceability process is established. We aim to investigate the appropriate control strategies to minimize the control cost and ensure the normal operation of society under the premise of containing the epidemic. This work mainly includes (i) propose the concept about the first and the second waves of COVID-19, as well as study the case data and regularity of four cities; (ii) derive the existence and stability of the equilibrium, the parameter sensitivity of the model, and the existence of the optimal control strategy; (iii) carry out the numerical simulation associated with the theoretical results and construct a dynamic control strategy and verify its feasibility.
Full text:
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Collection:
International databases
Database:
MEDLINE
Type of study:
Observational study
Language:
English
Journal:
Nonlinear Dyn
Year:
2021
Document Type:
Article
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