title: [Application of complex networks model in preventing and controlling communicable disease].
abstract: To discuss the application of complex networks models in preventing and controlling communicable disease, analyze and control the spread of infectious diseases by using the models and the software of complex networks based on its basic properties. Compared with conventional epidemiological approach, the complex networks theory, as a new theory, not only can describe the dynamic process of infections diseases spreading but also forecast the situation of infectious disease. The influence of the network's topology on the infections diseases transmission can be deeply understood through the research on disease spreading by its theory, so to control the spread of diseases. Complex networks theory approach can be used in epidemiological research for having much advantage compared with those conventional epidemiological approaches.
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
authors.forename: Shu-qiong
authors.initials: SQ
authors.lastname: Huang
authors.forename: Sheng
authors.initials: S
authors.lastname: Wei
authors.forename: Li
authors.initials: L
authors.lastname: Yue
authors.forename: Hao
authors.initials: H
authors.lastname: Xiang
authors.forename: Li
authors.initials: L
authors.lastname: Liu
authors.forename: Li
authors.initials: L
authors.lastname: Liu
authors.forename: Xiu-min
authors.initials: XM
authors.lastname: Gan
authors.forename: Chuan
authors.initials: C
authors.lastname: Xu
authors.forename: Shao-fa
authors.initials: SF
authors.lastname: Nie
mesh_terms: D000818:Animals; D003140:Communicable Disease Control / Q000379:methods*; D003141:Communicable Diseases / Q000635:transmission*; D006801:Humans; D016571:Neural Networks, Computer; D012984:Software