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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.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Nonlinear Dynamics Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Nonlinear Dynamics Year: 2022 Document Type: Article