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    题名: Spatial-Temporal Analysis of Dead Crow Reports Associated with a West Nile Virus Epidemic
    作者: CHENG-YU LEE
    贡献者: Department of Bioinformatics, Asia University, Taichung 41354, Taiwan
    Department of Forestry, Michigan State University, East Lansing, MI 48824, USA
    Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA
    Michigan Department of Community Health, Bureau of Epidemiology, P.O. Box 30195, Lansing MI 48909, USA
    关键词: space-time modeling
    Space-time autoregressive moving average
    infectious diseases
    West Nile virus
    日期: 2010-06
    上传时间: 2010-12-15 09:06:10 (UTC+8)
    出版者: Asia University
    摘要: We apply the Space-Time AutoRegressive Moving Average (STARMA) modeling methods in an investigation of the spreading dynamics of a West Nile virus (WNV) epidemic in crows in the Detroit Metro area in 2002. The data fit very closely those expected from a purely STAR (Space-Time AutoRegressive) process having low spatial and temporal orders. The model can be used to characterize
    the past and possibly even predict the future dynamics of spreading behavior and, most importantly, to provide information about the factors which govern the spreading behavior. Use of the STARMA model
    allows estimation of the rate of spread of WNV at different spatial scales and thus characterization of the spatial and temporal scales expected. Determination of spatial-temporal autoregressive parameters using
    STARMA holds considerable promise for characterizing emerging infectious diseases.
    關聯: Asian Journal of Arts and Sciences 1(1):29-41
    显示于类别:[Asian Journal of Arts and Sciences ] v.1 n.1


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