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DOI: 10.1371/journal.pone.0168127
论文题名:
Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals
作者: Chiyori T. Urabe; Gouhei Tanaka; Kazuyuki Aihara; Masayasu Mimura
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2016
发表日期: 2016-12-14
卷: 11, 期:12
语种: 英语
英文关键词: Spatial epidemiology ; Human mobility ; Influenza ; Infectious disease epidemiology ; Simulation and modeling ; Infectious diseases ; Population density ; Pathogens
英文摘要: In recent years, serious infectious diseases tend to transcend national borders and widely spread in a global scale. The incidence and prevalence of epidemics are highly influenced not only by pathogen-dependent disease characteristics such as the force of infection, the latent period, and the infectious period, but also by human mobility and contact patterns. However, the effect of heterogeneous mobility of individuals on epidemic outcomes is not fully understood. Here, we aim to elucidate how spatial mobility of individuals contributes to the final epidemic size in a spatial susceptible-exposed-infectious-recovered (SEIR) model with mobile individuals in a square lattice. After illustrating the interplay between the mobility parameters and the other parameters on the spatial epidemic spreading, we propose an index as a function of system parameters, which largely governs the final epidemic size. The main contribution of this study is to show that the proposed index is useful for estimating how parameter scaling affects the final epidemic size. To demonstrate the effectiveness of the proposed index, we show that there is a positive correlation between the proposed index computed with the real data of human airline travels and the actual number of positive incident cases of influenza B in the entire world, implying that the growing incidence of influenza B is attributed to increased human mobility.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0168127&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/25492
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Institute of Industrial Science, The University of Tokyo, Tokyo, Japan;Institute of Industrial Science, The University of Tokyo, Tokyo, Japan;Graduate School of Engineering, The University of Tokyo, Tokyo, Japan;Institute of Industrial Science, The University of Tokyo, Tokyo, Japan;Graduate School of Engineering, The University of Tokyo, Tokyo, Japan;Meiji Institute for Advanced Study of Mathematical Sciences, Meiji University, Tokyo, Japan

Recommended Citation:
Chiyori T. Urabe,Gouhei Tanaka,Kazuyuki Aihara,et al. Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals[J]. PLOS ONE,2016-01-01,11(12)
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