title: How human location-specific contact patterns impact spatial transmission between populations?
abstract: The structured-population model has been widely used to study the spatial transmission of epidemics in human society. Many seminal works have demonstrated the impact of human mobility on the epidemic threshold, assuming that the contact pattern of individuals is mixing homogeneously. Inspired by the recent evidence of location-related factors in reality, we introduce two categories of location-specific heterogeneous human contact patterns into a phenomenological model based on the commuting and contagion processes, which significantly decrease the epidemic threshold and thus favor the outbreak of diseases. In more detail, we find that a monotonic mode presents for the variance of disease prevalence in dependence on the contact rates under the destination-driven contact scenario; while under the origin-driven scenario, enhancing the contact rate counterintuitively weakens the disease prevalence in some parametric regimes. The inclusion of heterogeneity of human contacts is expected to provide valuable support to public health implications.
authors.affiliation: Adaptive Networks and Control Laboratory, Department of Electronic Engineering, Fudan University, Shanghai 200433, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Wang
authors.forename: Zhen
authors.initials: Z
authors.lastname: Wang
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
authors.forename: Xiang
authors.initials: X
authors.lastname: Li
mesh_terms: D000465:Algorithms; D003141:Communicable Diseases / Q000453:epidemiology / Q000635:transmission*; D016358:Contact Tracing; D006801:Humans; D008962:Models, Theoretical; D009010:Monte Carlo Method; D015995:Prevalence