Modeling disease spreading on complex networks | Zendy

Xiangjie Kong | Zendy; Qi Yu | Zendy; Xiumiao Song | Zendy; Guojiang Shen | Zendy

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Modeling disease spreading on complex networks

Author(s) -

Xiangjie Kong,

Qi Yu,

Xiumiao Song,

Guojiang Shen

Publication year - 2011

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis110312061k

Subject(s) - computer science , contact tracing , beijing , complex network , property (philosophy) , epidemic model , tracing , transmission (telecommunications) , simulation , covid-19 , disease , telecommunications , infectious disease (medical specialty) , medicine , population , world wide web , political science , law , china , operating system , philosophy , demography , epistemology , pathology , sociology

Based on complex network approach, a contact network model with scale-free property is built. By analyzing the fact data of H1N1 influenza provided by Beijing Health Bureau, contact tracing mechanism is used to research H1N1 virus transmission dynamics with this model. Furthermore, the contact tracing coefficient and random checking coefficient are studied to analyze their impact on the peak value of new infections and cumulative number of infections. The simulation result fits well with the statistical data. It shows that the model built in this paper is valid and complex network model to simulate the epidemics of H1N1 influenza is feasible.

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