國家衛生研究院 NHRI:Item 3990099045/14412
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/14412


    Title: Utilizing internet search volume to monitor stages of change in vaccine hesitancy during the COVID-19 outbreaks
    Authors: Lan, YT;Wu, SI;Lin, YH
    Contributors: Institute of Population Health Sciences
    Abstract: Real-time vaccine hesitancy surveillance is needed to better understand changes in vaccination behaviors. We aim to understand the association between coronavirus disease 2019 (COVID-19) outbreaks and population vaccine hesitancy and to monitor the dynamic changes in vaccination behaviors. We used the autoregressive integrated moving average model to examine the association between daily internet search volume for vaccines and two waves of COVID-19 local outbreaks in Taiwan from 19 March to 25 May, 2021. During the small-scale outbreak, the search volume increased significantly for 7 out of 22 days with an average increase of 17.3% +/- 10.7% from the expected search volume. During the large-scale outbreak, the search volume increased significantly for 14 out of 14 days, with an average increase of 58.4% +/- 14.7%. There was a high correlation between the search volume and the number of domestic cases (r = 0.71, P < 0.001). Google Trends serves as a timely indicator to monitor the extent of population vaccine willingness.
    Date: 2022-07-04
    Relation: Frontiers in Public Health. 2022 Jul 04;10:Article number 844543.
    Link to: http://dx.doi.org/10.3389/fpubh.2022.844543
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2296-2565&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000828021600001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85134371013
    Appears in Collections:[Yu-Hsuan Lin] Periodical Articles
    [Shiow-Ing Wu] Periodical Articles

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