國家衛生研究院 NHRI:Item 3990099045/15091
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/15091


    Title: Disease mapping for spatially semi-continuous data by estimating equations with application to dengue control
    Authors: Lin, PS;Yu, YJ;Zhu, J
    Contributors: Institute of Population Health Sciences
    Abstract: Disease mapping is a research field to estimate spatial pattern of disease risks so that areas with elevated risk levels can be identified. The motivation of this article is from a study of dengue fever infection, which causes seasonal epidemics in almost every summer in Taiwan. For analysis of zero-inflated data with spatial correlation and covariates, current methods would either cause a computational burden or miss associations between zero and non-zero responses. In this article, we develop estimating equations for a mixture regression model that accommodates spatial dependence and zero inflation for study of disease propagation. Asymptotic properties for the proposed estimates are established. A simulation study is conducted to evaluate performance of the mixture estimating equations; and a dengue dataset from southern Taiwan is used to illustrate the proposed method.
    Date: 2023-09
    Relation: Statistics in Medicine. 2023 Sep 10;42(20):3636-3648.
    Link to: http://dx.doi.org/10.1002/sim.9822
    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:001010104600001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85161855028
    Appears in Collections:[Pei-Sheng Lin] Periodical Articles

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