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

Machine Learning (3236) Big Data (441) Advanced Data Analytics in eHealth (359) Outbreak and Pandemic Preparedness and Management (1972) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (187) Applications of AI (998) Responsible Health AI (237)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73631, first published .
Man viewing laptop screen showing probability-based early warning for seasonal influenza with rising trend and alert.

Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study

Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study

Authors of this article:

Jinzhao Cui1 Author Orcid Image ;   Ting Zhang1 Author Orcid Image ;   Yifeng Shen2 Author Orcid Image ;   Xiaoli Wang3 Author Orcid Image ;   Liuyang Yang4 Author Orcid Image ;   Xuefeng Huang1 Author Orcid Image ;   Qiang Huang1 Author Orcid Image ;   Yu Yang1 Author Orcid Image ;   Weizhong Yang1 Author Orcid Image ;   Zhongjie Li1 Author Orcid Image
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Books/Policy Documents

  1. Khayrullayev I, Matchanova B, Ravikumar R, Aarthi S, Urozboev K, Christo M. Building Resilience Through Multi-Hazard Early Warning Systems. View

Conference Proceedings

  1. Chen J, Xu L, Yuan Q, Chi K, Wu Q, Wang X, Ge Y, Zhao J. 2026 8th International Conference on Electronics and Communication, Network and Computer Technology (ECNCT). Performance of a hybrid ARIMA-LSTM-Transformer model in influenza-like illness forecasting: A comparative study View