Effect of isolation strategies on epidemic spreading in multiplex networks with an annealed interactions layer

被引:1
作者
Kim, Minsuk [1 ]
Yook, Soon-Hyung [2 ,3 ]
机构
[1] Indiana Univ, Ctr Complex Networks & Syst Res, Luddy Sch Informat Comp & Engn, Bloomington, IN 47408 USA
[2] Kyung Hee Univ, Dept Phys, Seoul 02447, South Korea
[3] Kyung Hee Univ, Res Inst Basic Sci, Seoul 02447, South Korea
基金
新加坡国家研究基金会;
关键词
Complex systems; Complex networks; Epidemic spreading; COVID-19; QUARANTINE; MODELS;
D O I
10.1007/s40042-024-01239-9
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
When an unprecedented infectious disease with high mortality and transmissibility emerges, immediate access to vaccines or medicines is often unavailable. Therefore, many health authorities rely on non-pharmaceutical interventions, such as contact tracing combined with isolation, to mitigate the spread of the disease. However, contact tracing is generally effective only for well-known fixed contacts such as regular contacts of an individual. In contrast, random and anonymous infections, which are difficult to trace, may still occur, potentially leading to large-scale outbreaks especially when the disease is highly transmissible. In this study, we test the efficacy of isolation based on contact tracing among fixed regular contacts even when untraceable random contacts exist as well. We simulate this scenario using the susceptible-infected-recover model on double-layered multiplex networks, where one layer has a fixed structure, while the other layer is time-varying. Our numerical results indicate that tracing the secondary contacts significantly reduces both the final epidemic size and the number of isolations per unit time, even with imperfect traceability. Our findings suggest that the isolation protocol combined with secondary contact tracing can be an effective measure against unprecedented infectious diseases, applicable to a broad range of fixed contact structures.
引用
收藏
页码:73 / 84
页数:12
相关论文
共 52 条
[1]  
Aleta Alberto, 2020, medRxiv, DOI 10.1101/2020.05.06.20092841
[2]   Modeling the Spatiotemporal Epidemic Spreading of COVID-19 and the Impact of Mobility and Social Distancing Interventions [J].
Arenas, Alex ;
Cota, Wesley ;
Gomez-Gardenes, Jesus ;
Gomez, Sergio ;
Granell, Clara ;
Matamalas, Joan T. ;
Soriano-Panos, David ;
Steinegger, Benjamin .
PHYSICAL REVIEW X, 2020, 10 (04)
[3]   Presumed Asymptomatic Carrier Transmission of COVID-19 [J].
Bai, Yan ;
Yao, Lingsheng ;
Wei, Tao ;
Tian, Fei ;
Jin, Dong-Yan ;
Chen, Lijuan ;
Wang, Meiyun .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (14) :1406-1407
[4]   Multiscale mobility networks and the spatial spreading of infectious diseases [J].
Balcan, Duygu ;
Colizza, Vittoria ;
Goncalves, Bruno ;
Hu, Hao ;
Ramasco, Jose J. ;
Vespignani, Alessandro .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (51) :21484-21489
[5]   Configuration models as an urn problem [J].
Casiraghi, Giona ;
Nanumyan, Vahan .
SCIENTIFIC REPORTS, 2021, 11 (01)
[6]   SARS: Epidemiology [J].
Chan-Yeung, M ;
Xu, RH .
RESPIROLOGY, 2003, 8 :S9-S14
[7]   Discovery of small molecules targeting the tandem tudor domain of the epigenetic factor UHRF1 using fragment-based ligand discovery [J].
Chang, Lyra ;
Campbell, James ;
Raji, Idris O. ;
Guduru, Shiva K. R. ;
Kandel, Prasanna ;
Nguyen, Michelle ;
Liu, Steven ;
Tran, Kevin ;
Venugopal, Navneet K. ;
Taylor, Bethany C. ;
Holt, Matthew, V ;
Young, Nicolas L. ;
Samuel, Errol L. G. ;
Jain, Prashi ;
Santini, Conrad ;
Sankaran, Banumathi ;
MacKenzie, Kevin R. ;
Young, Damian W. .
SCIENTIFIC REPORTS, 2021, 11 (01)
[8]  
Choi K., 2022, Solitons Fractals, V157, DOI DOI 10.1016/J.CHAOS.2022.111904
[9]  
Erds P., 1960, Science, V5, P17
[10]   Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing [J].
Ferretti, Luca ;
Wymant, Chris ;
Kendall, Michelle ;
Zhao, Lele ;
Nurtay, Anel ;
Abeler-Dorner, Lucie ;
Parker, Michael ;
Bonsall, David ;
Fraser, Christophe .
SCIENCE, 2020, 368 (6491) :619-+