Research on Optimal Control Strategy for Infectious Disease Prevention and Control

Na Liu; Xinrui Jiang

doi:10.1007/978-981-97-4399-5_44

Research on Optimal Control Strategy for Infectious Disease Prevention and Control

Na Liu
, Xinrui Jiang^*

^*Corresponding author for this work

Tianjin Normal University
Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the rapid development of economy, a series of social governance problems are derived. For example, prevention and control of infectious diseases, traffic congestion control, and garbage sorting. As two major participants of social governance, the public and the government have an important impact on the effect of governance. Taking the prevention and treatment of infectious diseases as an example, this paper establishes a mathematical model of the co-evolution of the adaptive behavior of the public and the spread of the disease under the intervention of the government, and discusses how to achieve the best governance effect with the help of the optimal control idea, so as to guide the public and the government to make the optimal decision.

Original language	English
Title of host publication	Advances in Neural Networks – ISNN 2024 - 18th International Symposium on Neural Networks, 2024, Proceedings
Editors	Xinyi Le, Zhijun Zhang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	462-471
Number of pages	10
ISBN (Print)	9789819743988
DOIs	https://doi.org/10.1007/978-981-97-4399-5_44
State	Published - 2024
Externally published	Yes
Event	18th International Symposium on Neural Networks, ISNN 2024 - Weihai, China Duration: 11 Jul 2024 → 14 Jul 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14827 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Symposium on Neural Networks, ISNN 2024
Country/Territory	China
City	Weihai
Period	11/07/24 → 14/07/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Keywords

Epidemic transmission model
Optimal control
Social governance issues

Access to Document

10.1007/978-981-97-4399-5_44

Cite this

Liu, N., & Jiang, X. (2024). Research on Optimal Control Strategy for Infectious Disease Prevention and Control. In X. Le, & Z. Zhang (Eds.), Advances in Neural Networks – ISNN 2024 - 18th International Symposium on Neural Networks, 2024, Proceedings (pp. 462-471). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14827 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-4399-5_44

Liu, Na ; Jiang, Xinrui. / Research on Optimal Control Strategy for Infectious Disease Prevention and Control. Advances in Neural Networks – ISNN 2024 - 18th International Symposium on Neural Networks, 2024, Proceedings. editor / Xinyi Le ; Zhijun Zhang. Springer Science and Business Media Deutschland GmbH, 2024. pp. 462-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Research on Optimal Control Strategy for Infectious Disease Prevention and Control",

abstract = "With the rapid development of economy, a series of social governance problems are derived. For example, prevention and control of infectious diseases, traffic congestion control, and garbage sorting. As two major participants of social governance, the public and the government have an important impact on the effect of governance. Taking the prevention and treatment of infectious diseases as an example, this paper establishes a mathematical model of the co-evolution of the adaptive behavior of the public and the spread of the disease under the intervention of the government, and discusses how to achieve the best governance effect with the help of the optimal control idea, so as to guide the public and the government to make the optimal decision.",

keywords = "Epidemic transmission model, Optimal control, Social governance issues",

author = "Na Liu and Xinrui Jiang",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 18th International Symposium on Neural Networks, ISNN 2024 ; Conference date: 11-07-2024 Through 14-07-2024",

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publisher = "Springer Science and Business Media Deutschland GmbH",

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Liu, N & Jiang, X 2024, Research on Optimal Control Strategy for Infectious Disease Prevention and Control. in X Le & Z Zhang (eds), Advances in Neural Networks – ISNN 2024 - 18th International Symposium on Neural Networks, 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14827 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 462-471, 18th International Symposium on Neural Networks, ISNN 2024, Weihai, China, 11/07/24. https://doi.org/10.1007/978-981-97-4399-5_44

Research on Optimal Control Strategy for Infectious Disease Prevention and Control. / Liu, Na; Jiang, Xinrui.
Advances in Neural Networks – ISNN 2024 - 18th International Symposium on Neural Networks, 2024, Proceedings. ed. / Xinyi Le; Zhijun Zhang. Springer Science and Business Media Deutschland GmbH, 2024. p. 462-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14827 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - With the rapid development of economy, a series of social governance problems are derived. For example, prevention and control of infectious diseases, traffic congestion control, and garbage sorting. As two major participants of social governance, the public and the government have an important impact on the effect of governance. Taking the prevention and treatment of infectious diseases as an example, this paper establishes a mathematical model of the co-evolution of the adaptive behavior of the public and the spread of the disease under the intervention of the government, and discusses how to achieve the best governance effect with the help of the optimal control idea, so as to guide the public and the government to make the optimal decision.

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Liu N, Jiang X. Research on Optimal Control Strategy for Infectious Disease Prevention and Control. In Le X, Zhang Z, editors, Advances in Neural Networks – ISNN 2024 - 18th International Symposium on Neural Networks, 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 462-471. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-981-97-4399-5_44