Control of COVID-19 transmission dynamics, a game theoretical approach
Nonlinear Dynamics
; 2022.
Article
in English
| Scopus | ID: covidwho-1959060
ABSTRACT
We analyze a mathematical model of COVID-19 transmission control, which includes the interactions among different groups of the population vaccinated, susceptible, exposed, infectious, super-spreaders, hospitalized and fatality, based on a system of ordinary differential equations, which describes compartment model of a disease and its treatment. The aim of the model is to predict the development disease under different types of treatment during some fixed time period. We develop a game theoretic approach and a dual dynamic programming method to formulate optimal conditions of the treatment for an administration of a vaccine. Next, we calculate numerically an optimal treatment. © 2022, The Author(s), under exclusive licence to Springer Nature B.V.
COVID-19; Dual dynamic programming; Game theoretic approach; Mathematical model of COVID-19; Numerical algorithm; Sufficient optimality conditions for Nash equilibrium; Disease control; Dynamic programming; Game theory; Ordinary differential equations; Transmissions; Game-theoretic; Nash equilibria; Numerical algorithms; Sufficient optimality condition for nash equilibrium; Sufficient optimality conditions; Theoretical approach; Transmission dynamics
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Nonlinear Dynamics
Year:
2022
Document Type:
Article
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