國家衛生研究院 NHRI:Item 3990099045/13766
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/13766


    Title: Identification of geographic clusters for temporal heterogeneity with application to dengue surveillance
    Authors: Lin, PS
    Contributors: Institute of Population Health Sciences
    Abstract: Identifying transmission of hot spots with temporal trends is important for reducing infectious disease propagation. Cluster analysis is a particularly useful tool to explore underlying stochastic processes between observations by grouping items into categories by their similarity. In a study of epidemic propagation, clustering geographic regions that have similar time series could help researchers track diffusion routes from a common source of an infectious disease. In this article, we propose a two-stage scan statistic to classify regions into various geographic clusters by their temporal heterogeneity. The proposed scan statistic is more flexible than traditional methods in that contiguous and nonproximate regions with similar temporal patterns can be identified simultaneously. A simulation study and data analysis for a dengue fever infection are also presented for illustration.
    Date: 2022-01-15
    Relation: Statistics in Medicine. 2022 Jan 15;41(1):146-162.
    Link to: http://dx.doi.org/10.1002/sim.9227
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0277-6715&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000709186500001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85117410112
    Appears in Collections:[Pei-Sheng Lin] Periodical Articles

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