Dynamics of an epidemic model with quarantine on scale-free networks

2017 ◽  
Vol 381 (47) ◽  
pp. 3945-3951 ◽  
Author(s):  
Huiyan Kang ◽  
Kaihui Liu ◽  
Xinchu Fu
Keyword(s):  
Epidemic Model ◽  
Scale Free ◽  
Scale Free Networks

scholarly journals An SIS Epidemic Model with Infective Medium and Feedback Mechanism on Scale-Free Networks

OALib ◽  
2017 ◽  
Vol 04 (05) ◽  
pp. 1-9
Author(s):  
Xiongding Liu ◽  
Tao Li ◽  
Yuanmei Wang ◽  
Chen Wan ◽  
Jing Dong
Keyword(s):  
Epidemic Model ◽  
Feedback Mechanism ◽  
Scale Free ◽  
Sis Epidemic Model ◽  
Scale Free Networks ◽  
Sis Epidemic

Epidemic spreading on networks based on stress response

2017 ◽  
Vol 31 (16) ◽  
pp. 1750131 ◽  
Author(s):  
Fuzhong Nian ◽  
Shuanglong Yao
Keyword(s):  
Stress Response ◽  
Infectious Diseases ◽  
Stress Responses ◽  
Epidemic Model ◽  
Small World ◽  
Small World Networks ◽  
Epidemic Spreading ◽  
Spreading Resistance ◽  
Scale Free ◽  
Scale Free Networks

Based on the stress responses of individuals, the susceptible-infected-susceptible epidemic model was improved on the small-world networks and BA scale-free networks and the simulations were implemented and analyzed. Results indicate that the behaviors of individual’s stress responses could induce the epidemic spreading resistance and adaptation at the network level. This phenomenon showed that networks were learning how to adapt to the disease and the evolution process could improve their immunization to future infectious diseases and would effectively prevent the spreading of infectious diseases.

An SIS Epidemic Model with Feedback Mechanism in Scale-Free Networks

2011 ◽  
Vol 204-210 ◽  
pp. 354-358 ◽  
Author(s):  
Guang Wu Gong ◽  
Da Min Zhang
Keyword(s):  
Epidemic Model ◽  
Feedback Mechanism ◽  
Epidemic Spreading ◽  
Epidemic Threshold ◽  
Spreading Process ◽  
Scale Free ◽  
Sis Epidemic Model ◽  
Scale Free Networks ◽  
Controlling Measures ◽  
Sis Epidemic

A new susceptible-infected-susceptible model with feedback mechanism is proposed. The dynamic behavior of the epidemic model with feedback mechanism in scale-free networks is researched by theoretical analysis and computer simulation. The results show that feedback mechanism can reduce the stable infective ratio of system; however, it can not influence the epidemic threshold of system. The results can help us to understand rightly epidemic spreading process in reality networks and guide people to design effective epidemic preventive and controlling measures when epidemic outbreaks.

The analysis of an epidemic model with time delay on scale-free networks

2014 ◽  
Vol 410 ◽  
pp. 79-87 ◽  
Author(s):  
Qi-Ming Liu ◽  
Chang-Song Deng ◽  
Mei-Ci Sun
Keyword(s):  
Time Delay ◽  
Epidemic Model ◽  
Scale Free ◽  
Scale Free Networks
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