Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic

Fangzhou Liu; Yuhong Chen; Tong Liu; Dong Xue; Martin Buss

doi:10.1109/CDC45484.2021.9683314

Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic

Fangzhou Liu, Yuhong Chen, Tong Liu, Dong Xue, Martin Buss

Lehrstuhl für Steuerungs- und Regelungstechnik

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

1 Zitat (Scopus)

Abstract

This paper studies the distributed link removal problem for controlling epidemic spreading in a networked meta-population system. A deterministic networked susceptible-infected-recovered (SIR) model is considered to describe the epidemic evolving process. To curb the spread of epidemics, we reformulate the original topology design problem into a minimization program of the Perron-Frobenius eigenvalue of the matrix involving the network topology and transition rates. A modified distributed link removal strategy is developed such that it can be applied to the SIR model with heterogeneous transition rates on weighted digraphs. The proposed approach is implemented to control the COVID-19 pandemic by using the infected and recovered data reported by the German federal states. The numerical experiment shows that the infected percentage can be significantly reduced by employing the distributed link removal strategy.

Originalsprache	Englisch
Titel	60th IEEE Conference on Decision and Control, CDC 2021
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	2824-2829
Seitenumfang	6
ISBN (elektronisch)	9781665436595
DOIs	https://doi.org/10.1109/CDC45484.2021.9683314
Publikationsstatus	Veröffentlicht - 2021
Veranstaltung	60th IEEE Conference on Decision and Control, CDC 2021 - Austin, USA/Vereinigte Staaten Dauer: 13 Dez. 2021 → 17 Dez. 2021

Publikationsreihe

Name	Proceedings of the IEEE Conference on Decision and Control
Band	2021-December
ISSN (Print)	0743-1546
ISSN (elektronisch)	2576-2370

Konferenz

Konferenz	60th IEEE Conference on Decision and Control, CDC 2021
Land/Gebiet	USA/Vereinigte Staaten
Ort	Austin
Zeitraum	13/12/21 → 17/12/21

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10.1109/CDC45484.2021.9683314

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Liu, F., Chen, Y., Liu, T., Xue, D., & Buss, M. (2021). Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic. in 60th IEEE Conference on Decision and Control, CDC 2021 (S. 2824-2829). (Proceedings of the IEEE Conference on Decision and Control; Band 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC45484.2021.9683314

Liu, Fangzhou ; Chen, Yuhong ; Liu, Tong et al. / Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic. 60th IEEE Conference on Decision and Control, CDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. S. 2824-2829 (Proceedings of the IEEE Conference on Decision and Control).

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title = "Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic",

abstract = "This paper studies the distributed link removal problem for controlling epidemic spreading in a networked meta-population system. A deterministic networked susceptible-infected-recovered (SIR) model is considered to describe the epidemic evolving process. To curb the spread of epidemics, we reformulate the original topology design problem into a minimization program of the Perron-Frobenius eigenvalue of the matrix involving the network topology and transition rates. A modified distributed link removal strategy is developed such that it can be applied to the SIR model with heterogeneous transition rates on weighted digraphs. The proposed approach is implemented to control the COVID-19 pandemic by using the infected and recovered data reported by the German federal states. The numerical experiment shows that the infected percentage can be significantly reduced by employing the distributed link removal strategy.",

keywords = "Distributed link removal, controlling of COVID-19 pandemic, networked epidemics",

author = "Fangzhou Liu and Yuhong Chen and Tong Liu and Dong Xue and Martin Buss",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 60th IEEE Conference on Decision and Control, CDC 2021 ; Conference date: 13-12-2021 Through 17-12-2021",

year = "2021",

doi = "10.1109/CDC45484.2021.9683314",

language = "English",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Liu, F, Chen, Y, Liu, T, Xue, D & Buss, M 2021, Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic. in 60th IEEE Conference on Decision and Control, CDC 2021. Proceedings of the IEEE Conference on Decision and Control, Bd. 2021-December, Institute of Electrical and Electronics Engineers Inc., S. 2824-2829, 60th IEEE Conference on Decision and Control, CDC 2021, Austin, USA/Vereinigte Staaten, 13/12/21. https://doi.org/10.1109/CDC45484.2021.9683314

Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic. / Liu, Fangzhou; Chen, Yuhong; Liu, Tong et al.
60th IEEE Conference on Decision and Control, CDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. S. 2824-2829 (Proceedings of the IEEE Conference on Decision and Control; Band 2021-December).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic

AU - Liu, Fangzhou

AU - Chen, Yuhong

AU - Liu, Tong

AU - Xue, Dong

AU - Buss, Martin

PY - 2021

Y1 - 2021

N2 - This paper studies the distributed link removal problem for controlling epidemic spreading in a networked meta-population system. A deterministic networked susceptible-infected-recovered (SIR) model is considered to describe the epidemic evolving process. To curb the spread of epidemics, we reformulate the original topology design problem into a minimization program of the Perron-Frobenius eigenvalue of the matrix involving the network topology and transition rates. A modified distributed link removal strategy is developed such that it can be applied to the SIR model with heterogeneous transition rates on weighted digraphs. The proposed approach is implemented to control the COVID-19 pandemic by using the infected and recovered data reported by the German federal states. The numerical experiment shows that the infected percentage can be significantly reduced by employing the distributed link removal strategy.

AB - This paper studies the distributed link removal problem for controlling epidemic spreading in a networked meta-population system. A deterministic networked susceptible-infected-recovered (SIR) model is considered to describe the epidemic evolving process. To curb the spread of epidemics, we reformulate the original topology design problem into a minimization program of the Perron-Frobenius eigenvalue of the matrix involving the network topology and transition rates. A modified distributed link removal strategy is developed such that it can be applied to the SIR model with heterogeneous transition rates on weighted digraphs. The proposed approach is implemented to control the COVID-19 pandemic by using the infected and recovered data reported by the German federal states. The numerical experiment shows that the infected percentage can be significantly reduced by employing the distributed link removal strategy.

KW - Distributed link removal

KW - controlling of COVID-19 pandemic

KW - networked epidemics

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U2 - 10.1109/CDC45484.2021.9683314

DO - 10.1109/CDC45484.2021.9683314

M3 - Conference contribution

AN - SCOPUS:85126015776

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 2824

EP - 2829

BT - 60th IEEE Conference on Decision and Control, CDC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 60th IEEE Conference on Decision and Control, CDC 2021

Y2 - 13 December 2021 through 17 December 2021

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Liu F, Chen Y, Liu T, Xue D, Buss M. Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic. in 60th IEEE Conference on Decision and Control, CDC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. S. 2824-2829. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC45484.2021.9683314

Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic

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