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原文連結
論文資訊
- 類型：已發表論文
- 日期：2011
摘要
The spread of infectious 疾病s fundamentally depends on the pattern of contacts between individuals. Although studies of contact 網絡s have shown that heterogeneity in the number of contacts and the duration of contacts can have far-reaching 流行病學ological consequences, models often assume that contacts are chosen at random and thereby ignore the sociological, temporal and/or spatial clustering of contacts. Here we investigate the simultaneous effects of heterogeneous and clustered contact patterns on 流行病學c dynamics. To model 族群 structure, we generalize the configuration model which has a tunable degree distribution (number of contacts per node) and level of clustering (number of three cliques). To model 流行病學c dynamics for this class of 隨機圖, we derive a tractable, low-dimensional system of ordin
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