A multiobjective optimization model for prevention and control of coronavirus disease 2019 in China
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Publication:2073587
DOI10.1155/2022/6329601zbMath1490.92105OpenAlexW4206791004MaRDI QIDQ2073587
Xiaocheng Li, Zhaoli Liu, Fangzhen Ge
Publication date: 2 February 2022
Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2022/6329601
Cites Work
- Mathematical model of Ebola transmission dynamics with relapse and reinfection
- SPIR: the potential spreaders involved SIR model for information diffusion in social networks
- Improved Runge-Kutta-Chebyshev methods
- The dynamical model for COVID-19 with asymptotic analysis and numerical implementations
- Multi-objective optimization models in finance and investments
- The Mathematics of Infectious Diseases
- A New Theoretical Approach to Runge–Kutta Methods
- Joint estimation of case fatality rate of COVID‐19 and power of quarantine strategy performed in Wuhan, China
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