A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis.

Journal: Journal of medical Internet research
Published Date: Aug 11, 2025

Abstract

BACKGROUND: The seasonal influenza epidemic poses a persistent and severe threat to global public health. Web-based search data are recognized as a valuable source for forecasting influenza or other respiratory tract infection epidemics. Current influenza prediction studies typically focus on seasonal trends in traditional monitoring data, neglecting the sensitivity of different web-based search terms to seasonal changes, thereby increasing prediction challenges.

Authors

  • Ji Li
    Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, 801 NE 13th Street, CHB 203, Oklahoma City, OK 73104, x 30126.
  • Xiangyu Yan
    School of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
  • Xingjie Chu
    Langfang Center for Disease Prevention and Control, Hebei, China.
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Guoliang Liu
    School of Mechanical Engineering, Tongji University, Shanghai 201804, China.
  • Lin Li
    Department of Medicine III, LMU University Hospital, LMU Munich, Munich, Germany.
  • Yue Li
    School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China.
  • Xiaochun Dong
    Tianjin Centers for Disease Control and Prevention, Tianjin, China.
  • Zihan Mei
    School of Disaster and Emergency Medicine, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin, 300072, China, 86 13512065620.
  • Zhengkun Liu
    School of Disaster and Emergency Medicine, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin, 300072, China, 86 13512065620.
  • Jinyue Yuan
    School of Disaster and Emergency Medicine, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin, 300072, China, 86 13512065620.
  • Xiaohan Sun
    School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Chunxia Cao
    School of Disaster and Emergency Medicine, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin, 300072, China, 86 13512065620.

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