Coupled Information-epidemic Spreading with Consideration of Self-isolation in the Context of Mass Media DOI
Dan Yang,

Kunwei Chen,

Wei Zhang

и другие.

Physics Letters A, Год журнала: 2024, Номер unknown, С. 130016 - 130016

Опубликована: Окт. 1, 2024

Язык: Английский

Epidemic spreading on higher-order networks DOI
Wei Wang, Yanyi Nie, Wenyao Li

и другие.

Physics Reports, Год журнала: 2024, Номер 1056, С. 1 - 70

Опубликована: Янв. 19, 2024

Язык: Английский

Процитировано

70

Contagion dynamics on higher-order networks DOI
Guilherme Ferraz de Arruda, Alberto Aleta, Yamir Moreno

и другие.

Nature Reviews Physics, Год журнала: 2024, Номер 6(8), С. 468 - 482

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

18

Nonlinear effects of resource allocation delay on epidemic spreading in complex networks DOI
Xiaolong Chen, Xiaolong Yang, Ruijie Wang

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2025, Номер 35(1)

Опубликована: Янв. 1, 2025

The impact of resource allocation on the dynamics epidemic spreading is an important topic. In real-life scenarios, individuals usually prioritize their own safety, and this self-protection consciousness will lead to delays in allocation. However, there a lack systematic research delay spreading. To end, coupled model for proposed, which considers both decisions behavior with limited resources. Through theoretical analysis, influence mechanism deduced, relationship among threshold, time, fraction cautious obtained, finally, stability solution under different conditions proven. Furthermore, dynamic characteristics two factors are systematically studied by combining numerical simulation analysis. results show that exhibits nonlinear characteristics, namely, appropriate can enhance control effectiveness, while excessive insufficient consequently increases infection risk. Particularly, optimal maximizes threshold identified. addition, increase proportion significantly but excessively high severely constrain allocation, reduces effectiveness. study provide scientific evidence developing more effective strategies, particularly optimizing improving outcomes.

Язык: Английский

Процитировано

2

Infectious disease spreading modeling and containing strategy in heterogeneous population DOI
Wenjie Li, Jiachen Li, Yanyi Nie

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 181, С. 114590 - 114590

Опубликована: Фев. 18, 2024

Язык: Английский

Процитировано

8

Event-triggered control for projective synchronization fractional-order switched coupled neural networks with higher-order interactions DOI
Dongsheng Yang, Wang Hu, Guojian Ren

и другие.

Neurocomputing, Год журнала: 2025, Номер 623, С. 129407 - 129407

Опубликована: Янв. 14, 2025

Язык: Английский

Процитировано

1

Impact of higher-order interactions and individual emotional heterogeneity on information-disease coupled dynamics in multiplex networks DOI
Xuemei You, Man Zhang, Yinghong Ma

и другие.

Chaos Solitons & Fractals, Год журнала: 2023, Номер 177, С. 114186 - 114186

Опубликована: Ноя. 7, 2023

Язык: Английский

Процитировано

14

Epidemic spreading under game-based self-quarantine behaviors: The different effects of local and global information DOI Open Access

Zegang Huang,

Xincheng Shu, Qi Xuan

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(1)

Опубликована: Янв. 1, 2024

During the outbreak of an epidemic, individuals may modify their behaviors in response to external (including local and global) infection-related information. However, difference between global information influencing spread diseases remains inadequately explored. Here, we study a simple epidemic model that incorporates game-based self-quarantine behavior individuals, taking into account influence infection status, disease prevalence, node heterogeneity (non-identical degree distribution). Our findings reveal can effectively contain even with only small proportion opting for self-quarantine. On other hand, cause evolution curves shaking during declining phase owing synchronous release nodes same from quarantined state. In contrast, releasing pattern under appears be more random. This phenomenon observed various types networks associated different characteristics. Moreover, it is found proposed game-epidemic framework, difficult heterogeneous than homogeneous networks, which differs conventional models.

Язык: Английский

Процитировано

5

Impact of asymptomatic cases and human mobility on epidemic propagation in an SAIS network model DOI
Hanqi Zhang, Zhongkui Sun, Yuanyuan Liu

и другие.

Nonlinear Dynamics, Год журнала: 2024, Номер 112(8), С. 6761 - 6775

Опубликована: Фев. 23, 2024

Язык: Английский

Процитировано

5

Impact of multiple doses of vaccination on epidemiological spread in multiple networks DOI
Ling Li, Gaogao Dong, Huaiping Zhu

и другие.

Applied Mathematics and Computation, Год журнала: 2024, Номер 472, С. 128617 - 128617

Опубликована: Март 5, 2024

Язык: Английский

Процитировано

5

Heterogeneous propagation processes between awareness and epidemic on signed multiplex networks DOI
Meiling Feng, L.H. Liu, Jiaxing Chen

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 183, С. 114858 - 114858

Опубликована: Апрель 27, 2024

Язык: Английский

Процитировано

5