A Novel Early Warning Model for Hand, Foot and Mouth Disease Prediction Based on a Graph Convolutional Network.

Journal: Biomedical and environmental sciences : BES
PMID: 35882409

Abstract

OBJECTIVES: Hand, foot and mouth disease (HFMD) is a widespread infectious disease that causes a significant disease burden on society. To achieve early intervention and to prevent outbreaks of disease, we propose a novel warning model that can accurately predict the incidence of HFMD.

Authors

  • Tian Jiao Ji
    NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100026, China.
  • Qiang Cheng
    Department of Urology, Chinese People's Liberation Army General Hospital, Beijing, 100039 China.
  • Yong Zhang
    Outpatient Department of Hepatitis, The Sixth Affiliated People's Hospital of Dalian Medical University, Dalian, Liaoning, China.
  • Han Ri Zeng
    Guangdong Center for Disease Control and Prevention, Guangzhou 511430, Guangdong, China.
  • Jian Xing Wang
    Shandong Center for Disease Control and Prevention, Jinan 250014, Shandong, China.
  • Guan Yu Yang
    LIST, Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Southeast University, Nanjing 211189, Jiangsu, China.
  • Wen Bo Xu
    NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100026, China;Center for Biosafety Mega Science, Chinese Academy of Sciences, Wuhan 430071, Hubei, China.
  • Hong Tu Liu
    NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100026, China;Center for Biosafety Mega Science, Chinese Academy of Sciences, Wuhan 430071, Hubei, China.

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