Mean Field Optimal Control Problem for Predicting the Spread of Viral Infections Full article
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Optimization Problems of Complex Systems : International Asian School-Seminar 14-22 Aug 2023 , Новосибирск |
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| Source | 2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS) Compilation, IEEE. 2023. 6 c. ISBN 9798350331134. |
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| Output data | Year: 2023, Pages: 79-84 Pages count : 6 DOI: 10.1109/opcs59592.2023.10275759 | ||||
| Tags | scenarios of COVID-19 propagation, mean field games, SIRV-D model, optimal control | ||||
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| Affiliations |
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Funding (1)
| 1 | Russian Science Foundation | 23-71-10068 |
Abstract:
To describe the epidemic outbreak, we divide the entire population into five groups: susceptible to the virus (S), active infected (I), immune after vaccination or disease (R), vaccinated but not yet immune (V), and deceased (D). The population is considered rational and agents tend to choose isolation and vaccination strategies based on their own benefit, leading to an optimal control model. A number of epidemiological scenarios have been constructed and computational results were compared with statistical data to estimate the epidemiological situation in the region under consideration.
Cite:
Petrakova V.
, Krivorotko O.
Mean Field Optimal Control Problem for Predicting the Spread of Viral Infections
In compilation 2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS). – IEEE., 2023. – C.79-84. – ISBN 9798350331134. DOI: 10.1109/opcs59592.2023.10275759 Scopus OpenAlex
Mean Field Optimal Control Problem for Predicting the Spread of Viral Infections
In compilation 2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS). – IEEE., 2023. – C.79-84. – ISBN 9798350331134. DOI: 10.1109/opcs59592.2023.10275759 Scopus OpenAlex
Dates:
| Published print: | Oct 13, 2023 |
| Published online: | Oct 13, 2023 |
Identifiers:
| Scopus: | 2-s2.0-85175452703 |
| OpenAlex: | W4387620815 |