This paper is in the following e-collection/theme issue:

Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Infodemiology and Infoveillance (1558) Influenza and Influenza-Like-Illness (ILI) Surveillance (237) Infectious Diseases (non-STD/STI) (1726) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Artificial Intelligence (2129) Machine Learning (2076) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45085, first published .
Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study

Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study

Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study

Authors of this article:

Liuyang Yang1, 2 Author Orcid Image ;   Ting Zhang2 Author Orcid Image ;   Xuan Han2 Author Orcid Image ;   Jiao Yang2 Author Orcid Image ;   Yanxia Sun2 Author Orcid Image ;   Libing Ma2, 3 Author Orcid Image ;   Jialong Chen4 Author Orcid Image ;   Yanming Li4 Author Orcid Image ;   Shengjie Lai5 Author Orcid Image ;   Wei Li6 Author Orcid Image ;   Luzhao Feng2 Author Orcid Image ;   Weizhong Yang2 Author Orcid Image
Article Authors Cited by (16) Tweetations (3) Metrics

Journals

  1. Shih D, Wu Y, Wu T, Chang S, Shih M. Infodemiology of Influenza-like Illness: Utilizing Google Trends’ Big Data for Epidemic Surveillance. Journal of Clinical Medicine 2024;13(7):1946 View
  2. Han X, Yang J, Luo Y, Huo D, Yu X, Hu X, Xin L, Yang L, Xin H, Zhang T, Li Z, Yang W. Exploring the Lagged Correlation Between Baidu Index and Influenza-Like Illness — China, 2014–2019. China CDC Weekly 2024;6(26):629 View
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  4. Danchin A. Artificial intelligence‐based prediction of pathogen emergence and evolution in the world of synthetic biology. Microbial Biotechnology 2024;17(10) View
  5. Deng P, Xue C, Yang T, Zheng B, Liu W, Yang L, Fei Y. Epidemiological analysis of influenza vaccination coverage in Pudong New Area, Shanghai (2013-2023): Implications for influenza vaccination strategies. Human Vaccines & Immunotherapeutics 2024;20(1) View
  6. Xiong X, Xiang L, Chang L, Wu I, Deng S. Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study. Journal of Medical Internet Research 2025;27:e66072 View
  7. Qi S, Tham J, Waheed M, Hashim N. From fear to facts: a multi-channel approach to information seeking amid influenza-like illness outbreaks. Frontiers in Public Health 2025;13 View
  8. Kim J, Jeong A, Jin J, Lee S, Yoon D, Kim S. Temporal Association Between ChatGPT-Generated Diarrhea Synonyms in Internet Search Queries and Emergency Department Visits for Diarrhea-Related Symptoms in South Korea: Exploratory Study. Journal of Medical Internet Research 2025;27:e65101 View
  9. Cui J, Zhang T, Shen Y, Wang X, Yang L, Huang X, Huang Q, Yang Y, Yang W, Li Z. Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study. JMIR Medical Informatics 2025;13:e73631 View
  10. Li J, Yan X, Chu X, Zhang Y, Liu G, Li L, Li Y, Dong X, Mei Z, Liu Z, Yuan J, Sun X, Cao C. 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 of Medical Internet Research 2025;27:e71786 View
  11. Li P, Huang R, Xie R, Xie J, Liu K. Prediction of influenza-like illness incidence using meteorological factors in Kunming : deep learning model study. BMC Public Health 2025;25(1) View
  12. Hu X, Duan C, Chen H, Li X, Jing Q, Ma Q, Cai S, Fan H, Zhi S, Li W. Development of an early prediction model for risk of influenza A and influenza B based on complete blood count examination. BMC Infectious Diseases 2025;25(1) View
  13. Shen R, Xu X, Li Y, Sun Y, Xu Y, Duan Y, Liu X, Feng L. Enhancing spatiotemporal influenza prediction in China: a multi-output least absolute shrinkage and selection operator machine learning model integrating web-based search data. Intelligent Medicine 2025 View
  14. Chen Y, Zhang X, Zhang S, Han W, Wang Z, Chen J, Liu J, Feng J, Shi J, Long H, Cao Z, Zhang J, Li Y, Du X, Zhang X, Ren M. Hand, Foot, and Mouth Disease Risk Prediction in Southern China: Time Series Study Integrating Web-Based Search and Epidemiological Surveillance Data. JMIR Infodemiology 2025;5:e75434 View

Books/Policy Documents

  1. Shome A, Mukherjee G, Shome A. Artificial Intelligence and Blockchain in Precision Medicine and Virology. View

Conference Proceedings

  1. Kashmar N, Ozdemir D, Yousuf I, Dabboussi A, Saab A, Salem-Sokhn E, El Morr C. 2025 International Conference on Control, Automation, and Instrumentation (IC2AI). Enhancing Epidemic Early Warning Systems with Social Media Data View