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

Infoveillance and Social Listening (443) Public (e)Health, Digital Epidemiology and Public Health Informatics (2404) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1427) Innovative Methods in Public Health and Surveillance (530) Health and Risk Communication (167) Data Sources and Open Data for Infodemiology (40) AI Applications in Public Health (121)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75434, first published .
Colleagues in face shields and masks discuss charts on a computer screen in an office.

Hand, Foot, and Mouth Disease Risk Prediction in Southern China: Time Series Study Integrating Web-Based Search and Epidemiological Surveillance Data

Hand, Foot, and Mouth Disease Risk Prediction in Southern China: Time Series Study Integrating Web-Based Search and Epidemiological Surveillance Data

Authors of this article:

Yixiong Chen1 Author Orcid Image ;   Xue Zhang2, 3 Author Orcid Image ;   Sheng Zhang1 Author Orcid Image ;   Wenjie Han2, 3 Author Orcid Image ;   Ziqi Wang1 Author Orcid Image ;   Jian Chen2, 3 Author Orcid Image ;   Jinfeng Liu1 Author Orcid Image ;   Jingru Feng2, 3 Author Orcid Image ;   Jiayi Shi2, 3 Author Orcid Image ;   Haoyu Long4 Author Orcid Image ;   Zicheng Cao5 Author Orcid Image ;   Jie Zhang2, 3 Author Orcid Image ;   Yuan Li1 Author Orcid Image ;   Xiangjun Du2, 3, 6, 7 Author Orcid Image ;   Xindong Zhang1 Author Orcid Image ;   Meng Ren1, 8 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Kuan M. Predictive Modeling of Enterovirus Hospital Burden Using Machine Learning and Age-Specific Surveillance Data: Operational Forecasting in Taiwan During the Postpandemic Era. JMIR Formative Research 2026;10:e85874 View
  2. Yu L, Zhao H, Zhao X, Wang J, Liao Y, Li J, Zheng H, Li D, Li H, Shi H, Liu L. Epidemiological shifts in coxsackievirus A-induced hand, foot, and mouth disease in China, 2008–2024. Expert Review of Vaccines 2026;25(1) View
  3. Ren M, Han A, Liu J, Wang C, Zhang X, Chen Y. Epidemiological characteristics and influencing factors of hand, foot and mouth disease reinfection cases in a large district of southern China. Frontiers in Public Health 2026;14 View
  4. Valentine Gunasari L, Chuang T, Wiratama B, Rahmanti A, Nurmansyah D, Tunggul Satoto T. Machine learning for risk prediction of infectious diseases: a scoping review of application, predictive performance, and reporting gaps. International Journal of Medical Informatics 2027;223:106720 View
  5. PARK S, OH T. Comparing Deep Learning Architectures and Seasonal Autoregressive Integrated Moving Average for Short-term Forecasting of Hand, Foot, and Mouth Disease Sentinel Data in Korea. Korean Journal of Clinical Laboratory Science 2026;58(3):288 View