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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/11007


    Title: Spatial-Temporal Analysis of Dead Crow Reports Associated with a West Nile Virus Epidemic
    Authors: CHENG-YU LEE
    BRYAN K. EPPERSON
    EDWARD D. WALKER
    KIMBERLY SIGNS
    Contributors: 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
    Keywords: space-time modeling
    Space-time autoregressive moving average
    infectious diseases
    West Nile virus
    Date: 2010-06
    Issue Date: 2010-12-15 09:06:10 (UTC+8)
    Publisher: Asia University
    Abstract: 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.
    Relation: Asian Journal of Arts and Sciences 1(1):29-41
    Appears in Collections:[Asian Journal of Arts and Sciences ] v.1 n.1

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