Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71786, first published .
A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis

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

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

Ji Li   1, 2 * , MM ;   Xiangyu Yan   1 * , PhD ;   Xingjie Chu   3 , BM ;   Ying Zhang   4 , MPH ;   Guoliang Liu   3 , BM ;   Lin Li   4 , MM ;   Yue Li   1, 2 , MMed ;   Xiaochun Dong   4 , MM ;   Zihan Mei   1 , BS ;   Zhengkun Liu   1 , BEc ;   Jinyue Yuan   1 , BM ;   Xiaohan Sun   1 , BEng ;   Chunxia Cao   1 , PhD

1 School of Disaster and Emergency Medicine, Tianjin University, Tianjin, China

2 College of Management and Economics, Tianjin University, Tianjin, China

3 Langfang Center for Disease Prevention and Control, Hebei, China

4 Tianjin Centers for Disease Control and Prevention, Tianjin, China

*these authors contributed equally

Corresponding Author:

  • Chunxia Cao, PhD
  • School of Disaster and Emergency Medicine
  • Tianjin University
  • No. 92 Weijin Road, Nankai District
  • Tianjin 300072
  • China
  • Phone: 86 13512065620
  • Email: caochunxia@tju.edu.cn