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  • Early detection of an epidemic erythromelalgia outbreak using Baidu search data

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    Author(s)
    Gu, Yuzhou
    Chen, Fengling
    Liu, Tao
    Lv, Xiaojuan
    Shao, Zhaoming
    Lin, Hualiang
    Liang, Chaobin
    Zeng, Weilin
    Xiao, Jianpeng
    Zhang, Yonghui
    Huang, Cunrui
    Rutherford, Shannon
    Ma, Wenjun
    Griffith University Author(s)
    Rutherford, Shannon
    Huang, Cunrui
    Year published
    2015
    Metadata
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    Abstract
    Dozens of epidemic erythromelalgia (EM) outbreaks have been reported in China since the mid-twentieth century, and the most recent happened in Foshan City, Guangdong Province early 2014. This study compared the daily case counts of this recent epidemic EM outbreak from February 11 to March 3 with Baidu search data for the same period. After keyword selection, filtering and composition, the most correlated lag of the EM Search Index was used for comparison and linear regression model development. This study also explored the spatial distribution of epidemic EM in China during this period based on EM Search Index. The EM Search ...
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    Dozens of epidemic erythromelalgia (EM) outbreaks have been reported in China since the mid-twentieth century, and the most recent happened in Foshan City, Guangdong Province early 2014. This study compared the daily case counts of this recent epidemic EM outbreak from February 11 to March 3 with Baidu search data for the same period. After keyword selection, filtering and composition, the most correlated lag of the EM Search Index was used for comparison and linear regression model development. This study also explored the spatial distribution of epidemic EM in China during this period based on EM Search Index. The EM Search Index at lag 2 was most significantly associated with daily case counts in Foshan (ρ = 0.863, P < 0.001). It captured an upward trend in the outbreak about one week ahead of official report and the linear regression analysis indicated that every 1.071 increase in the EM Search Index reflected a rise of 1 EM cases 2 days earlier. The spatial analysis found that the number of EM Search Indexes increased in the middle of Guangdong Province and South China during the outbreak period. The EM Search Index may be a good early indicator of an epidemic EM outbreak.
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    Journal Title
    Scientific Reports
    Volume
    5
    DOI
    https://doi.org/10.1038/srep12649
    Copyright Statement
    © The Author(s) 2015. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
    Subject
    Clinical Sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/102543
    Collection
    • Journal articles

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